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Author SHA1 Message Date
Pratik Mankawde
1e137c5e2a Phase 8: Log-trace correlation plan docs and task list
- Add §6.8.1 to 06-implementation-phases.md with full Phase 8 plan
  (motivation, architecture, Mermaid diagrams, tasks table, exit criteria)
- Add Phase8_taskList.md with per-task breakdown (8.1-8.6)
- Add §5a log-trace correlation section to 09-data-collection-reference.md
- Add Phase 8 row to OpenTelemetryPlan.md, update totals to 13 weeks / 8 phases
- Add Phases 6-8 to Gantt chart in 06-implementation-phases.md

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 17:48:04 +00:00
Pratik Mankawde
85fa51cfc3 Phase 8: Add Loki datasource provisioning for log-trace correlation
Adds Grafana Loki data source with derivedFields config linking
trace_id values in log lines to Tempo traces. This enables one-click
log-to-trace navigation in Grafana Explore.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 17:48:04 +00:00
Pratik Mankawde
125c808c0b Separate plan from tasks: move Phase 7 plan into 06-implementation-phases.md, remove Phase 8 content
- Move Phase 7 motivation (gains/losses/decision) and architecture (class
  hierarchy, data flow diagram, config) from Phase7_taskList.md into
  06-implementation-phases.md §6.8
- Strip Phase7_taskList.md to tasks only (7.1-7.8 + summary table)
- Remove Phase8_taskList.md — belongs on Phase 8 branch
- Remove §6.8.1 (Phase 8) from 06-implementation-phases.md
- Remove §5a (Phase 8 log correlation) from 09-data-collection-reference.md
- Remove Phase 8 row from OpenTelemetryPlan.md phase table

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 17:48:04 +00:00
Pratik Mankawde
3dcc46ee84 Phase 7-8: Plan docs for native OTel metrics migration and log-trace correlation
Phase 7 (native metrics): Replace StatsDCollector with OTelCollectorImpl
behind the existing beast::insight::Collector interface. Maps Counter,
Gauge, Meter, Event to OTel SDK instruments. Exports via OTLP/HTTP to
same collector endpoint as traces. Eliminates StatsD UDP dependency.
Resolves deferred Phase 6 Task 6.1 (|m wire format).

Phase 8 (log correlation): Inject trace_id/span_id into JLOG output
via Logs::format() thread-local span context read. Add Grafana Loki
with OTel Collector filelog receiver for centralized log ingestion.
Enable bidirectional Tempo-Loki correlation in Grafana.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 17:48:04 +00:00
Pratik Mankawde
d4c69fe5f8 Add consensus.accept.apply span to data collection reference
Add the close time span and its 6 attributes to the Phase 4 consensus
span table and attribute table in 09-data-collection-reference.md.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 17:47:59 +00:00
Pratik Mankawde
bac14b82f0 document updates
Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>
2026-03-06 17:47:59 +00:00
Pratik Mankawde
65eb7b592c Phase 6: Integrate beast::insight StatsD metrics into telemetry pipeline
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 17:47:59 +00:00
Pratik Mankawde
2d9b5c78c5 Phase 5b: Add ledger/peer/tx spans + expand Grafana dashboards
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 17:47:54 +00:00
Pratik Mankawde
ecade9cac4 Set explicit uid on Prometheus datasource for dashboard compatibility
Dashboard template variables reference datasource uid "prometheus" but
the provisioning config had no uid set, causing Grafana to auto-assign
a random one and break dashboard panel queries.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 17:47:46 +00:00
Pratik Mankawde
87f4abee6d Add Grafana dashboard template variables for node and metric filtering
- Add resource_metrics_key_attributes to spanmetrics connector so
  service.instance.id becomes a Prometheus label for per-node filtering
- Add 'node' dropdown (service_instance_id) to all 3 dashboards
- Add 'command' dropdown (xrpl_rpc_command) to RPC Performance
- Add 'tx_origin' dropdown (xrpl_tx_local) to Transaction Overview
- Add 'consensus_mode' dropdown (xrpl_consensus_mode) to Consensus Health
- Update all panel PromQL queries to include $node filter

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 17:33:56 +00:00
Pratik Mankawde
5f40013a23 Add consensus close time panels and docs for accept.apply span
- Add Ledger Apply Duration and Close Time Agreement panels to
  consensus-health dashboard
- Add consensus.accept.apply to telemetry runbook with TraceQL
  queries for close time disagreements and consensus failures
- Add span to TESTING.md expected span catalog and verification loop

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 17:21:22 +00:00
Pratik Mankawde
a85fe485be Phase 5: Observability stack — spanmetrics, dashboards, runbook
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 17:18:50 +00:00
Pratik Mankawde
54e1eb1647 Add consensus.accept.apply span with ledger close time attributes
Add a new trace span in doAccept() capturing ledger close time details:
- xrpl.consensus.close_time: agreed-upon close time (epoch seconds)
- xrpl.consensus.close_time_correct: whether validators converged
  (per avCT_CONSENSUS_PCT = 75% threshold)
- xrpl.consensus.close_resolution_ms: time rounding granularity
- xrpl.consensus.state: "finished" or "moved_on" (consensus failure)
- xrpl.consensus.proposing: whether this node was proposing

Update Tempo datasource with close time filters, plan docs with
new span inventory, and add test coverage for the attribute pattern.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 17:18:30 +00:00
Pratik Mankawde
25b2337018 Add consensus trace filters to Grafana Tempo datasource
Add xrpl.consensus.mode (static), xrpl.consensus.round (dynamic),
and xrpl.consensus.ledger.seq (static) search filters for Phase 4
consensus span attributes.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 17:01:09 +00:00
Pratik Mankawde
b2a00ce4f9 Phase 4: Consensus tracing — round lifecycle, proposals, validations
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 17:01:09 +00:00
Pratik Mankawde
71c9bbaf9e Add transaction trace filters to Grafana Tempo datasource
Add xrpl.tx.hash (static), xrpl.tx.local and xrpl.tx.status
(dynamic) search filters for Phase 3 transaction span attributes.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 17:00:46 +00:00
Pratik Mankawde
c988051320 Phase 3: Transaction tracing — protobuf context, PeerImp, NetworkOPs
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 17:00:46 +00:00
Pratik Mankawde
63e49c8536 Add RPC trace filters to Grafana Tempo datasource
Add xrpl.rpc.command (static), xrpl.rpc.status and xrpl.rpc.role
(dynamic) search filters for Phase 2 RPC span attributes.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 17:00:15 +00:00
Pratik Mankawde
56ab0ab0f4 Phase 2: Complete RPC tracing — interface, macros, attributes, tests
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 16:59:55 +00:00
Pratik Mankawde
cca5b3aeda Phase 1c: RPC layer telemetry integration
Add tracing instrumentation to the RPC request handling layer:

TracingInstrumentation.h:
- Convenience macros (XRPL_TRACE_RPC, XRPL_TRACE_TX, etc.) that
  create RAII SpanGuard objects when telemetry is enabled
- XRPL_TRACE_SET_ATTR / XRPL_TRACE_EXCEPTION for span enrichment
- Zero-overhead no-ops when XRPL_ENABLE_TELEMETRY is not defined

RPCHandler.cpp:
- Trace each RPC command with span name "rpc.command.<method>"
- Record command name, API version, role, and status as attributes
- Capture exceptions on the span for error visibility

ServerHandler.cpp:
- Trace HTTP requests ("rpc.request"), WebSocket messages
  ("rpc.ws_message"), and processRequest ("rpc.process")

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 16:59:49 +00:00
Pratik Mankawde
5688914597 Add node identification filters to Grafana Tempo datasource
Add resource-level search filters for node identity:
- service.instance.id (node public key) — unique node identifier
- service.version (rippled build version)
- xrpl.network.id (numeric network ID)
- xrpl.network.type (mainnet/testnet/devnet/standalone)

These enable filtering traces by specific nodes in multi-node
deployments and by network in mixed environments.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 16:59:42 +00:00
Pratik Mankawde
05e755e22e Add Tempo search filters and metrics generator for trace exploration
Configure Grafana Tempo datasource with pre-built search filters
(service.name, span name, status, duration) for the Explore UI.
Enable Tempo metrics_generator with service-graphs and span-metrics
processors to power Grafana's service map visualization.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 16:54:52 +00:00
Pratik Mankawde
32d411ea25 Add Grafana Tempo as second trace backend alongside Jaeger
- Add Tempo 2.7.2 service to docker-compose with local storage
- Add otlp/tempo exporter to OTel Collector traces pipeline
- Add Tempo Grafana datasource provisioning with node graph
- Update 05-configuration-reference.md examples with Tempo
- OTel Collector fans traces to both Jaeger and Tempo simultaneously

Jaeger provides a standalone UI at :16686 for quick lookups.
Tempo is queryable via Grafana Explore using TraceQL and is the
recommended backend for production (supports S3/GCS storage).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-03-06 16:18:13 +00:00
Pratik Mankawde
252a4bb8d2 Phase 1b: Telemetry core infrastructure
Add the OpenTelemetry telemetry library and supporting infrastructure:

Build system:
- Conan opentelemetry-cpp dependency with OTLP/gRPC exporter
- CMake integration for xrpl_telemetry library target
- Levelization ordering updates

Core library (libxrpl):
- Telemetry class: provider lifecycle, span creation, sampling config
- SpanGuard: RAII span management with attribute/exception helpers
- TelemetryConfig: parse [telemetry] config section
- NullTelemetry: no-op implementation when telemetry is disabled

Application integration:
- Telemetry member in ApplicationImp with start/stop lifecycle
- getTelemetry() interface on Application
- ServiceRegistry telemetry accessor

Docker observability stack:
- OTel Collector, Jaeger, Grafana docker-compose setup
- Collector config with OTLP gRPC receiver and Jaeger exporter

Config and docs:
- Example telemetry config section in xrpld-example.cfg
- Build documentation for telemetry setup

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-27 17:53:25 +00:00
Pratik Mankawde
a6a6a7c0fd Phase 1a: OpenTelemetry plan documentation
Add comprehensive planning documentation for the OpenTelemetry
distributed tracing integration:

- Tracing fundamentals and concepts
- Architecture analysis of rippled's tracing surface area
- Design decisions and trade-offs
- Implementation strategy and code samples
- Configuration reference
- Implementation phases roadmap
- Observability backend comparison
- POC task list and presentation materials

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-27 17:50:27 +00:00
356 changed files with 22208 additions and 8519 deletions

View File

@@ -1,144 +1,105 @@
---
Checks: "-*,
bugprone-argument-comment,
bugprone-assert-side-effect,
bugprone-bad-signal-to-kill-thread,
bugprone-bool-pointer-implicit-conversion,
bugprone-casting-through-void,
bugprone-chained-comparison,
bugprone-compare-pointer-to-member-virtual-function,
bugprone-copy-constructor-init,
bugprone-dangling-handle,
bugprone-dynamic-static-initializers,
bugprone-empty-catch,
bugprone-fold-init-type,
bugprone-forward-declaration-namespace,
bugprone-inaccurate-erase,
bugprone-incorrect-enable-if,
bugprone-incorrect-roundings,
bugprone-infinite-loop,
bugprone-integer-division,
bugprone-lambda-function-name,
bugprone-macro-parentheses,
bugprone-macro-repeated-side-effects,
bugprone-misplaced-operator-in-strlen-in-alloc,
bugprone-misplaced-pointer-arithmetic-in-alloc,
bugprone-misplaced-widening-cast,
bugprone-move-forwarding-reference,
bugprone-multi-level-implicit-pointer-conversion,
bugprone-multiple-new-in-one-expression,
bugprone-multiple-statement-macro,
bugprone-no-escape,
bugprone-non-zero-enum-to-bool-conversion,
bugprone-parent-virtual-call,
bugprone-posix-return,
bugprone-redundant-branch-condition,
bugprone-return-const-ref-from-parameter,
bugprone-shared-ptr-array-mismatch,
bugprone-signal-handler,
bugprone-signed-char-misuse,
bugprone-sizeof-container,
bugprone-sizeof-expression,
bugprone-spuriously-wake-up-functions,
bugprone-standalone-empty,
bugprone-string-constructor,
bugprone-string-integer-assignment,
bugprone-string-literal-with-embedded-nul,
bugprone-stringview-nullptr,
bugprone-suspicious-enum-usage,
bugprone-suspicious-include,
bugprone-suspicious-memory-comparison,
bugprone-suspicious-memset-usage,
bugprone-suspicious-realloc-usage,
bugprone-suspicious-semicolon,
bugprone-suspicious-string-compare,
bugprone-swapped-arguments,
bugprone-terminating-continue,
bugprone-throw-keyword-missing,
bugprone-undefined-memory-manipulation,
bugprone-undelegated-constructor,
bugprone-unhandled-exception-at-new,
bugprone-unique-ptr-array-mismatch,
bugprone-unsafe-functions,
bugprone-virtual-near-miss,
cppcoreguidelines-no-suspend-with-lock,
cppcoreguidelines-virtual-class-destructor,
hicpp-ignored-remove-result,
misc-definitions-in-headers,
misc-header-include-cycle,
misc-misplaced-const,
misc-static-assert,
misc-throw-by-value-catch-by-reference,
misc-unused-alias-decls,
misc-unused-using-decls,
readability-duplicate-include,
readability-enum-initial-value,
readability-misleading-indentation,
readability-non-const-parameter,
readability-redundant-declaration,
readability-reference-to-constructed-temporary,
modernize-deprecated-headers,
modernize-make-shared,
modernize-make-unique,
performance-implicit-conversion-in-loop,
performance-move-constructor-init,
performance-trivially-destructible
bugprone-argument-comment
"
# ---
# more checks that have some issues that need to be resolved:
#
# bugprone-assert-side-effect,
# bugprone-bad-signal-to-kill-thread,
# bugprone-bool-pointer-implicit-conversion,
# bugprone-casting-through-void,
# bugprone-chained-comparison,
# bugprone-compare-pointer-to-member-virtual-function,
# bugprone-copy-constructor-init,
# bugprone-crtp-constructor-accessibility,
# bugprone-dangling-handle,
# bugprone-dynamic-static-initializers,
# bugprone-empty-catch,
# bugprone-fold-init-type,
# bugprone-forward-declaration-namespace,
# bugprone-inaccurate-erase,
# bugprone-inc-dec-in-conditions,
# bugprone-reserved-identifier,
# bugprone-incorrect-enable-if,
# bugprone-incorrect-roundings,
# bugprone-infinite-loop,
# bugprone-integer-division,
# bugprone-lambda-function-name,
# bugprone-macro-parentheses,
# bugprone-macro-repeated-side-effects,
# bugprone-misplaced-operator-in-strlen-in-alloc,
# bugprone-misplaced-pointer-arithmetic-in-alloc,
# bugprone-misplaced-widening-cast,
# bugprone-move-forwarding-reference,
# bugprone-unused-local-non-trivial-variable,
# bugprone-switch-missing-default-case,
# bugprone-suspicious-stringview-data-usage,
# bugprone-suspicious-missing-comma,
# bugprone-pointer-arithmetic-on-polymorphic-object,
# bugprone-multi-level-implicit-pointer-conversion,
# bugprone-multiple-new-in-one-expression,
# bugprone-multiple-statement-macro,
# bugprone-no-escape,
# bugprone-non-zero-enum-to-bool-conversion,
# bugprone-optional-value-conversion,
# bugprone-parent-virtual-call,
# bugprone-pointer-arithmetic-on-polymorphic-object,
# bugprone-posix-return,
# bugprone-redundant-branch-condition,
# bugprone-reserved-identifier,
# bugprone-return-const-ref-from-parameter,
# bugprone-shared-ptr-array-mismatch,
# bugprone-signal-handler,
# bugprone-signed-char-misuse,
# bugprone-sizeof-container,
# bugprone-sizeof-expression,
# bugprone-spuriously-wake-up-functions,
# bugprone-standalone-empty,
# bugprone-string-constructor,
# bugprone-string-integer-assignment,
# bugprone-string-literal-with-embedded-nul,
# bugprone-stringview-nullptr,
# bugprone-suspicious-enum-usage,
# bugprone-suspicious-include,
# bugprone-suspicious-memory-comparison,
# bugprone-suspicious-memset-usage,
# bugprone-suspicious-missing-comma,
# bugprone-suspicious-realloc-usage,
# bugprone-suspicious-semicolon,
# bugprone-suspicious-string-compare,
# bugprone-suspicious-stringview-data-usage,
# bugprone-swapped-arguments,
# bugprone-switch-missing-default-case,
# bugprone-terminating-continue,
# bugprone-throw-keyword-missing,
# bugprone-too-small-loop-variable,
# bugprone-undefined-memory-manipulation,
# bugprone-undelegated-constructor,
# bugprone-unhandled-exception-at-new,
# bugprone-unhandled-self-assignment,
# bugprone-unique-ptr-array-mismatch,
# bugprone-unsafe-functions,
# bugprone-unused-local-non-trivial-variable,
# bugprone-unused-raii,
# bugprone-unused-return-value,
# bugprone-use-after-move,
# bugprone-unhandled-self-assignment,
# bugprone-unused-raii,
#
# cppcoreguidelines-misleading-capture-default-by-value,
# bugprone-virtual-near-miss,
# cppcoreguidelines-init-variables,
# cppcoreguidelines-misleading-capture-default-by-value,
# cppcoreguidelines-no-suspend-with-lock,
# cppcoreguidelines-pro-type-member-init,
# cppcoreguidelines-pro-type-static-cast-downcast,
# cppcoreguidelines-use-default-member-init,
# cppcoreguidelines-rvalue-reference-param-not-moved,
#
# cppcoreguidelines-use-default-member-init,
# cppcoreguidelines-virtual-class-destructor,
# hicpp-ignored-remove-result,
# llvm-namespace-comment,
# misc-const-correctness,
# misc-definitions-in-headers,
# misc-header-include-cycle,
# misc-include-cleaner,
# misc-misplaced-const,
# misc-redundant-expression,
#
# readability-avoid-nested-conditional-operator,
# readability-avoid-return-with-void-value,
# readability-braces-around-statements,
# readability-container-contains,
# readability-container-size-empty,
# readability-convert-member-functions-to-static,
# readability-const-return-type,
# readability-else-after-return,
# readability-implicit-bool-conversion,
# readability-inconsistent-declaration-parameter-name,
# readability-identifier-naming,
# readability-make-member-function-const,
# readability-math-missing-parentheses,
# readability-redundant-inline-specifier,
# readability-redundant-member-init,
# readability-redundant-casting,
# readability-redundant-string-init,
# readability-simplify-boolean-expr,
# readability-static-definition-in-anonymous-namespace,
# readability-suspicious-call-argument,
# readability-use-std-min-max,
# readability-static-accessed-through-instance,
#
# misc-static-assert,
# misc-throw-by-value-catch-by-reference,
# misc-unused-alias-decls,
# misc-unused-using-decls,
# modernize-concat-nested-namespaces,
# modernize-deprecated-headers,
# modernize-make-shared,
# modernize-make-unique,
# modernize-pass-by-value,
# modernize-type-traits,
# modernize-use-designated-initializers,
@@ -150,50 +111,79 @@ Checks: "-*,
# modernize-use-starts-ends-with,
# modernize-use-std-numbers,
# modernize-use-using,
#
# performance-faster-string-find,
# performance-for-range-copy,
# performance-implicit-conversion-in-loop,
# performance-inefficient-vector-operation,
# performance-move-const-arg,
# performance-move-constructor-init,
# performance-no-automatic-move,
# ---
# performance-trivially-destructible,
# readability-avoid-nested-conditional-operator,
# readability-avoid-return-with-void-value,
# readability-braces-around-statements,
# readability-const-return-type,
# readability-container-contains,
# readability-container-size-empty,
# readability-convert-member-functions-to-static,
# readability-duplicate-include,
# readability-else-after-return,
# readability-enum-initial-value,
# readability-implicit-bool-conversion,
# readability-inconsistent-declaration-parameter-name,
# readability-identifier-naming,
# readability-make-member-function-const,
# readability-math-missing-parentheses,
# readability-misleading-indentation,
# readability-non-const-parameter,
# readability-redundant-casting,
# readability-redundant-declaration,
# readability-redundant-inline-specifier,
# readability-redundant-member-init,
# readability-redundant-string-init,
# readability-reference-to-constructed-temporary,
# readability-simplify-boolean-expr,
# readability-static-accessed-through-instance,
# readability-static-definition-in-anonymous-namespace,
# readability-suspicious-call-argument,
# readability-use-std-min-max
#
CheckOptions:
# readability-braces-around-statements.ShortStatementLines: 2
# readability-identifier-naming.MacroDefinitionCase: UPPER_CASE
# readability-identifier-naming.ClassCase: CamelCase
# readability-identifier-naming.StructCase: CamelCase
# readability-identifier-naming.UnionCase: CamelCase
# readability-identifier-naming.EnumCase: CamelCase
# readability-identifier-naming.EnumConstantCase: CamelCase
# readability-identifier-naming.ScopedEnumConstantCase: CamelCase
# readability-identifier-naming.GlobalConstantCase: UPPER_CASE
# readability-identifier-naming.GlobalConstantPrefix: "k"
# readability-identifier-naming.GlobalVariableCase: CamelCase
# readability-identifier-naming.GlobalVariablePrefix: "g"
# readability-identifier-naming.ConstexprFunctionCase: camelBack
# readability-identifier-naming.ConstexprMethodCase: camelBack
# readability-identifier-naming.ClassMethodCase: camelBack
# readability-identifier-naming.ClassMemberCase: camelBack
# readability-identifier-naming.ClassConstantCase: UPPER_CASE
# readability-identifier-naming.ClassConstantPrefix: "k"
# readability-identifier-naming.StaticConstantCase: UPPER_CASE
# readability-identifier-naming.StaticConstantPrefix: "k"
# readability-identifier-naming.StaticVariableCase: UPPER_CASE
# readability-identifier-naming.StaticVariablePrefix: "k"
# readability-identifier-naming.ConstexprVariableCase: UPPER_CASE
# readability-identifier-naming.ConstexprVariablePrefix: "k"
# readability-identifier-naming.LocalConstantCase: camelBack
# readability-identifier-naming.LocalVariableCase: camelBack
# readability-identifier-naming.TemplateParameterCase: CamelCase
# readability-identifier-naming.ParameterCase: camelBack
# readability-identifier-naming.FunctionCase: camelBack
# readability-identifier-naming.MemberCase: camelBack
# readability-identifier-naming.PrivateMemberSuffix: _
# readability-identifier-naming.ProtectedMemberSuffix: _
# readability-identifier-naming.PublicMemberSuffix: ""
# readability-identifier-naming.FunctionIgnoredRegexp: ".*tag_invoke.*"
bugprone-unsafe-functions.ReportMoreUnsafeFunctions: true
# CheckOptions:
# readability-braces-around-statements.ShortStatementLines: 2
# readability-identifier-naming.MacroDefinitionCase: UPPER_CASE
# readability-identifier-naming.ClassCase: CamelCase
# readability-identifier-naming.StructCase: CamelCase
# readability-identifier-naming.UnionCase: CamelCase
# readability-identifier-naming.EnumCase: CamelCase
# readability-identifier-naming.EnumConstantCase: CamelCase
# readability-identifier-naming.ScopedEnumConstantCase: CamelCase
# readability-identifier-naming.GlobalConstantCase: UPPER_CASE
# readability-identifier-naming.GlobalConstantPrefix: "k"
# readability-identifier-naming.GlobalVariableCase: CamelCase
# readability-identifier-naming.GlobalVariablePrefix: "g"
# readability-identifier-naming.ConstexprFunctionCase: camelBack
# readability-identifier-naming.ConstexprMethodCase: camelBack
# readability-identifier-naming.ClassMethodCase: camelBack
# readability-identifier-naming.ClassMemberCase: camelBack
# readability-identifier-naming.ClassConstantCase: UPPER_CASE
# readability-identifier-naming.ClassConstantPrefix: "k"
# readability-identifier-naming.StaticConstantCase: UPPER_CASE
# readability-identifier-naming.StaticConstantPrefix: "k"
# readability-identifier-naming.StaticVariableCase: UPPER_CASE
# readability-identifier-naming.StaticVariablePrefix: "k"
# readability-identifier-naming.ConstexprVariableCase: UPPER_CASE
# readability-identifier-naming.ConstexprVariablePrefix: "k"
# readability-identifier-naming.LocalConstantCase: camelBack
# readability-identifier-naming.LocalVariableCase: camelBack
# readability-identifier-naming.TemplateParameterCase: CamelCase
# readability-identifier-naming.ParameterCase: camelBack
# readability-identifier-naming.FunctionCase: camelBack
# readability-identifier-naming.MemberCase: camelBack
# readability-identifier-naming.PrivateMemberSuffix: _
# readability-identifier-naming.ProtectedMemberSuffix: _
# readability-identifier-naming.PublicMemberSuffix: ""
# readability-identifier-naming.FunctionIgnoredRegexp: ".*tag_invoke.*"
# bugprone-unsafe-functions.ReportMoreUnsafeFunctions: true
# bugprone-unused-return-value.CheckedReturnTypes: ::std::error_code;::std::error_condition;::std::errc
# misc-include-cleaner.IgnoreHeaders: '.*/(detail|impl)/.*;.*(expected|unexpected).*;.*ranges_lower_bound\.h;time.h;stdlib.h;__chrono/.*;fmt/chrono.h;boost/uuid/uuid_hash.hpp'
#

247
.cmake-format.yaml Normal file
View File

@@ -0,0 +1,247 @@
_help_parse: Options affecting listfile parsing
parse:
_help_additional_commands:
- Specify structure for custom cmake functions
additional_commands:
target_protobuf_sources:
pargs:
- target
- prefix
kwargs:
PROTOS: "*"
LANGUAGE: cpp
IMPORT_DIRS: "*"
GENERATE_EXTENSIONS: "*"
PLUGIN: "*"
_help_override_spec:
- Override configurations per-command where available
override_spec: {}
_help_vartags:
- Specify variable tags.
vartags: []
_help_proptags:
- Specify property tags.
proptags: []
_help_format: Options affecting formatting.
format:
_help_disable:
- Disable formatting entirely, making cmake-format a no-op
disable: false
_help_line_width:
- How wide to allow formatted cmake files
line_width: 100
_help_tab_size:
- How many spaces to tab for indent
tab_size: 4
_help_use_tabchars:
- If true, lines are indented using tab characters (utf-8
- 0x09) instead of <tab_size> space characters (utf-8 0x20).
- In cases where the layout would require a fractional tab
- character, the behavior of the fractional indentation is
- governed by <fractional_tab_policy>
use_tabchars: false
_help_fractional_tab_policy:
- If <use_tabchars> is True, then the value of this variable
- indicates how fractional indentions are handled during
- whitespace replacement. If set to 'use-space', fractional
- indentation is left as spaces (utf-8 0x20). If set to
- "`round-up` fractional indentation is replaced with a single"
- tab character (utf-8 0x09) effectively shifting the column
- to the next tabstop
fractional_tab_policy: use-space
_help_max_subgroups_hwrap:
- If an argument group contains more than this many sub-groups
- (parg or kwarg groups) then force it to a vertical layout.
max_subgroups_hwrap: 4
_help_max_pargs_hwrap:
- If a positional argument group contains more than this many
- arguments, then force it to a vertical layout.
max_pargs_hwrap: 5
_help_max_rows_cmdline:
- If a cmdline positional group consumes more than this many
- lines without nesting, then invalidate the layout (and nest)
max_rows_cmdline: 2
_help_separate_ctrl_name_with_space:
- If true, separate flow control names from their parentheses
- with a space
separate_ctrl_name_with_space: true
_help_separate_fn_name_with_space:
- If true, separate function names from parentheses with a
- space
separate_fn_name_with_space: false
_help_dangle_parens:
- If a statement is wrapped to more than one line, than dangle
- the closing parenthesis on its own line.
dangle_parens: false
_help_dangle_align:
- If the trailing parenthesis must be 'dangled' on its on
- "line, then align it to this reference: `prefix`: the start"
- "of the statement, `prefix-indent`: the start of the"
- "statement, plus one indentation level, `child`: align to"
- the column of the arguments
dangle_align: prefix
_help_min_prefix_chars:
- If the statement spelling length (including space and
- parenthesis) is smaller than this amount, then force reject
- nested layouts.
min_prefix_chars: 18
_help_max_prefix_chars:
- If the statement spelling length (including space and
- parenthesis) is larger than the tab width by more than this
- amount, then force reject un-nested layouts.
max_prefix_chars: 10
_help_max_lines_hwrap:
- If a candidate layout is wrapped horizontally but it exceeds
- this many lines, then reject the layout.
max_lines_hwrap: 2
_help_line_ending:
- What style line endings to use in the output.
line_ending: unix
_help_command_case:
- Format command names consistently as 'lower' or 'upper' case
command_case: canonical
_help_keyword_case:
- Format keywords consistently as 'lower' or 'upper' case
keyword_case: unchanged
_help_always_wrap:
- A list of command names which should always be wrapped
always_wrap: []
_help_enable_sort:
- If true, the argument lists which are known to be sortable
- will be sorted lexicographicall
enable_sort: true
_help_autosort:
- If true, the parsers may infer whether or not an argument
- list is sortable (without annotation).
autosort: true
_help_require_valid_layout:
- By default, if cmake-format cannot successfully fit
- everything into the desired linewidth it will apply the
- last, most aggressive attempt that it made. If this flag is
- True, however, cmake-format will print error, exit with non-
- zero status code, and write-out nothing
require_valid_layout: false
_help_layout_passes:
- A dictionary mapping layout nodes to a list of wrap
- decisions. See the documentation for more information.
layout_passes: {}
_help_markup: Options affecting comment reflow and formatting.
markup:
_help_bullet_char:
- What character to use for bulleted lists
bullet_char: "-"
_help_enum_char:
- What character to use as punctuation after numerals in an
- enumerated list
enum_char: .
_help_first_comment_is_literal:
- If comment markup is enabled, don't reflow the first comment
- block in each listfile. Use this to preserve formatting of
- your copyright/license statements.
first_comment_is_literal: false
_help_literal_comment_pattern:
- If comment markup is enabled, don't reflow any comment block
- which matches this (regex) pattern. Default is `None`
- (disabled).
literal_comment_pattern: null
_help_fence_pattern:
- Regular expression to match preformat fences in comments
- default= ``r'^\s*([`~]{3}[`~]*)(.*)$'``
fence_pattern: ^\s*([`~]{3}[`~]*)(.*)$
_help_ruler_pattern:
- Regular expression to match rulers in comments default=
- '``r''^\s*[^\w\s]{3}.*[^\w\s]{3}$''``'
ruler_pattern: ^\s*[^\w\s]{3}.*[^\w\s]{3}$
_help_explicit_trailing_pattern:
- If a comment line matches starts with this pattern then it
- is explicitly a trailing comment for the preceding
- argument. Default is '#<'
explicit_trailing_pattern: "#<"
_help_hashruler_min_length:
- If a comment line starts with at least this many consecutive
- hash characters, then don't lstrip() them off. This allows
- for lazy hash rulers where the first hash char is not
- separated by space
hashruler_min_length: 10
_help_canonicalize_hashrulers:
- If true, then insert a space between the first hash char and
- remaining hash chars in a hash ruler, and normalize its
- length to fill the column
canonicalize_hashrulers: true
_help_enable_markup:
- enable comment markup parsing and reflow
enable_markup: false
_help_lint: Options affecting the linter
lint:
_help_disabled_codes:
- a list of lint codes to disable
disabled_codes: []
_help_function_pattern:
- regular expression pattern describing valid function names
function_pattern: "[0-9a-z_]+"
_help_macro_pattern:
- regular expression pattern describing valid macro names
macro_pattern: "[0-9A-Z_]+"
_help_global_var_pattern:
- regular expression pattern describing valid names for
- variables with global (cache) scope
global_var_pattern: "[A-Z][0-9A-Z_]+"
_help_internal_var_pattern:
- regular expression pattern describing valid names for
- variables with global scope (but internal semantic)
internal_var_pattern: _[A-Z][0-9A-Z_]+
_help_local_var_pattern:
- regular expression pattern describing valid names for
- variables with local scope
local_var_pattern: "[a-z][a-z0-9_]+"
_help_private_var_pattern:
- regular expression pattern describing valid names for
- privatedirectory variables
private_var_pattern: _[0-9a-z_]+
_help_public_var_pattern:
- regular expression pattern describing valid names for public
- directory variables
public_var_pattern: "[A-Z][0-9A-Z_]+"
_help_argument_var_pattern:
- regular expression pattern describing valid names for
- function/macro arguments and loop variables.
argument_var_pattern: "[a-z][a-z0-9_]+"
_help_keyword_pattern:
- regular expression pattern describing valid names for
- keywords used in functions or macros
keyword_pattern: "[A-Z][0-9A-Z_]+"
_help_max_conditionals_custom_parser:
- In the heuristic for C0201, how many conditionals to match
- within a loop in before considering the loop a parser.
max_conditionals_custom_parser: 2
_help_min_statement_spacing:
- Require at least this many newlines between statements
min_statement_spacing: 1
_help_max_statement_spacing:
- Require no more than this many newlines between statements
max_statement_spacing: 2
max_returns: 6
max_branches: 12
max_arguments: 5
max_localvars: 15
max_statements: 50
_help_encode: Options affecting file encoding
encode:
_help_emit_byteorder_mark:
- If true, emit the unicode byte-order mark (BOM) at the start
- of the file
emit_byteorder_mark: false
_help_input_encoding:
- Specify the encoding of the input file. Defaults to utf-8
input_encoding: utf-8
_help_output_encoding:
- Specify the encoding of the output file. Defaults to utf-8.
- Note that cmake only claims to support utf-8 so be careful
- when using anything else
output_encoding: utf-8
_help_misc: Miscellaneous configurations options.
misc:
_help_per_command:
- A dictionary containing any per-command configuration
- overrides. Currently only `command_case` is supported.
per_command: {}

View File

@@ -70,7 +70,7 @@ that `test` code should _never_ be included in `xrpl` or `xrpld` code.)
## Validation
The [levelization](generate.py) script takes no parameters,
The [levelization](generate.sh) script takes no parameters,
reads no environment variables, and can be run from any directory,
as long as it is in the expected location in the rippled repo.
It can be run at any time from within a checked out repo, and will
@@ -104,7 +104,7 @@ It generates many files of [results](results):
Github Actions workflow to test that levelization loops haven't
changed. Unfortunately, if changes are detected, it can't tell if
they are improvements or not, so if you have resolved any issues or
done anything else to improve levelization, run `generate.py`,
done anything else to improve levelization, run `levelization.sh`,
and commit the updated results.
The `loops.txt` and `ordering.txt` files relate the modules
@@ -128,7 +128,7 @@ The committed files hide the detailed values intentionally, to
prevent false alarms and merging issues, and because it's easy to
get those details locally.
1. Run `generate.py`
1. Run `levelization.sh`
2. Grep the modules in `paths.txt`.
- For example, if a cycle is found `A ~= B`, simply `grep -w
A .github/scripts/levelization/results/paths.txt | grep -w B`

View File

@@ -1,369 +0,0 @@
#!/usr/bin/env python3
"""
Usage: generate.py
This script takes no parameters, and can be run from any directory,
as long as it is in the expected.
location in the repo.
"""
import os
import re
import subprocess
import sys
from collections import defaultdict
from pathlib import Path
from typing import Dict, List, Tuple, Set, Optional
# Compile regex patterns once at module level
INCLUDE_PATTERN = re.compile(r"^\s*#include.*/.*\.h")
INCLUDE_PATH_PATTERN = re.compile(r'[<"]([^>"]+)[>"]')
def dictionary_sort_key(s: str) -> str:
"""
Create a sort key that mimics 'sort -d' (dictionary order).
Dictionary order only considers blanks and alphanumeric characters.
This means punctuation like '.' is ignored during sorting.
"""
# Keep only alphanumeric characters and spaces
return "".join(c for c in s if c.isalnum() or c.isspace())
def get_level(file_path: str) -> str:
"""
Extract the level from a file path (second and third directory components).
Equivalent to bash: cut -d/ -f 2,3
Examples:
src/xrpld/app/main.cpp -> xrpld.app
src/libxrpl/protocol/STObject.cpp -> libxrpl.protocol
include/xrpl/basics/base_uint.h -> xrpl.basics
"""
parts = file_path.split("/")
# Get fields 2 and 3 (indices 1 and 2 in 0-based indexing)
if len(parts) >= 3:
level = f"{parts[1]}/{parts[2]}"
elif len(parts) >= 2:
level = f"{parts[1]}/toplevel"
else:
level = file_path
# If the "level" indicates a file, cut off the filename
if "." in level.split("/")[-1]: # Avoid Path object creation
# Use the "toplevel" label as a workaround for `sort`
# inconsistencies between different utility versions
level = level.rsplit("/", 1)[0] + "/toplevel"
return level.replace("/", ".")
def extract_include_level(include_line: str) -> Optional[str]:
"""
Extract the include path from an #include directive.
Gets the first two directory components from the include path.
Equivalent to bash: cut -d/ -f 1,2
Examples:
#include <xrpl/basics/base_uint.h> -> xrpl.basics
#include "xrpld/app/main/Application.h" -> xrpld.app
"""
# Remove everything before the quote or angle bracket
match = INCLUDE_PATH_PATTERN.search(include_line)
if not match:
return None
include_path = match.group(1)
parts = include_path.split("/")
# Get first two fields (indices 0 and 1)
if len(parts) >= 2:
include_level = f"{parts[0]}/{parts[1]}"
else:
include_level = include_path
# If the "includelevel" indicates a file, cut off the filename
if "." in include_level.split("/")[-1]: # Avoid Path object creation
include_level = include_level.rsplit("/", 1)[0] + "/toplevel"
return include_level.replace("/", ".")
def find_repo_root(start_path: Path, depth_limit: int = 10) -> Path:
"""
Find the repository root by looking for .git directory or src/include folders.
Walks up the directory tree from the start path.
"""
current = start_path.resolve()
# Walk up the directory tree
for _ in range(depth_limit): # Limit search depth to prevent infinite loops
# Check if this directory has src or include folders
has_src = (current / "src").exists()
has_include = (current / "include").exists()
if has_src or has_include:
return current
# Check if this is a git repository root
if (current / ".git").exists():
# Check if it has src or include nearby
if has_src or has_include:
return current
# Move up one level
parent = current.parent
if parent == current: # Reached filesystem root
break
current = parent
# If we couldn't find it, raise an error
raise RuntimeError(
"Could not find repository root. "
"Expected to find a directory containing 'src' and/or 'include' folders."
)
def get_scan_directories(repo_root: Path) -> List[Path]:
"""
Get the list of directories to scan for include files.
Returns paths that actually exist.
"""
directories = []
for dir_name in ["include", "src"]:
dir_path = repo_root / dir_name
if dir_path.exists() and dir_path.is_dir():
directories.append(dir_path)
if not directories:
raise RuntimeError(f"No 'src' or 'include' directories found in {repo_root}")
return directories
def main():
# Change to the script's directory
script_dir = Path(__file__).parent.resolve()
os.chdir(script_dir)
# If the shell is interactive, clean up any flotsam before analyzing
# Match bash behavior: check if PS1 is set (indicates interactive shell)
# When running a script, PS1 is not set even if stdin/stdout are TTYs
if os.environ.get("PS1"):
try:
subprocess.run(["git", "clean", "-ix"], check=False, timeout=30)
except (subprocess.TimeoutExpired, KeyboardInterrupt):
print("Skipping git clean...")
except Exception:
# If git clean fails for any reason, just continue
pass
# Clean up and create results directory
results_dir = script_dir / "results"
if results_dir.exists():
import shutil
shutil.rmtree(results_dir)
results_dir.mkdir()
# Find the repository root by searching for src and include directories
try:
repo_root = find_repo_root(script_dir)
scan_dirs = get_scan_directories(repo_root)
print(f"Found repository root: {repo_root}")
print(f"Scanning directories:")
for scan_dir in scan_dirs:
print(f" - {scan_dir.relative_to(repo_root)}")
except RuntimeError as e:
print(f"Error: {e}", file=sys.stderr)
sys.exit(1)
print("\nScanning for raw includes...")
# Find all #include directives
raw_includes: List[Tuple[str, str]] = []
rawincludes_file = results_dir / "rawincludes.txt"
# Write to file as we go to avoid storing everything in memory
with open(rawincludes_file, "w", buffering=8192) as raw_f:
for dir_path in scan_dirs:
print(f" Scanning {dir_path.relative_to(repo_root)}...")
for file_path in dir_path.rglob("*"):
if not file_path.is_file():
continue
try:
rel_path_str = str(file_path.relative_to(repo_root))
# Read file with larger buffer for better performance
with open(
file_path,
"r",
encoding="utf-8",
errors="ignore",
buffering=8192,
) as f:
for line in f:
# Quick check before regex
if "#include" not in line or "boost" in line:
continue
if INCLUDE_PATTERN.match(line):
line_stripped = line.strip()
entry = f"{rel_path_str}:{line_stripped}\n"
print(entry, end="")
raw_f.write(entry)
raw_includes.append((rel_path_str, line_stripped))
except Exception as e:
print(f"Error reading {file_path}: {e}", file=sys.stderr)
# Build levelization paths and count directly (no need to sort first)
print("Build levelization paths")
path_counts: Dict[Tuple[str, str], int] = defaultdict(int)
for file_path, include_line in raw_includes:
level = get_level(file_path)
include_level = extract_include_level(include_line)
if include_level and level != include_level:
path_counts[(level, include_level)] += 1
# Sort and deduplicate paths (using dictionary order like bash 'sort -d')
print("Sort and deduplicate paths")
paths_file = results_dir / "paths.txt"
with open(paths_file, "w") as f:
# Sort using dictionary order: only alphanumeric and spaces matter
sorted_items = sorted(
path_counts.items(),
key=lambda x: (dictionary_sort_key(x[0][0]), dictionary_sort_key(x[0][1])),
)
for (level, include_level), count in sorted_items:
line = f"{count:7} {level} {include_level}\n"
print(line.rstrip())
f.write(line)
# Split into flat-file database
print("Split into flat-file database")
includes_dir = results_dir / "includes"
included_by_dir = results_dir / "included_by"
includes_dir.mkdir()
included_by_dir.mkdir()
# Batch writes by grouping data first to avoid repeated file opens
includes_data: Dict[str, List[Tuple[str, int]]] = defaultdict(list)
included_by_data: Dict[str, List[Tuple[str, int]]] = defaultdict(list)
# Process in sorted order to match bash script behavior (dictionary order)
sorted_items = sorted(
path_counts.items(),
key=lambda x: (dictionary_sort_key(x[0][0]), dictionary_sort_key(x[0][1])),
)
for (level, include_level), count in sorted_items:
includes_data[level].append((include_level, count))
included_by_data[include_level].append((level, count))
# Write all includes files in sorted order (dictionary order)
for level in sorted(includes_data.keys(), key=dictionary_sort_key):
entries = includes_data[level]
with open(includes_dir / level, "w") as f:
for include_level, count in entries:
line = f"{include_level} {count}\n"
print(line.rstrip())
f.write(line)
# Write all included_by files in sorted order (dictionary order)
for include_level in sorted(included_by_data.keys(), key=dictionary_sort_key):
entries = included_by_data[include_level]
with open(included_by_dir / include_level, "w") as f:
for level, count in entries:
line = f"{level} {count}\n"
print(line.rstrip())
f.write(line)
# Search for loops
print("Search for loops")
loops_file = results_dir / "loops.txt"
ordering_file = results_dir / "ordering.txt"
loops_found: Set[Tuple[str, str]] = set()
# Pre-load all include files into memory to avoid repeated I/O
# This is the biggest optimization - we were reading files repeatedly in nested loops
# Use list of tuples to preserve file order
includes_cache: Dict[str, List[Tuple[str, int]]] = {}
includes_lookup: Dict[str, Dict[str, int]] = {} # For fast lookup
# Note: bash script uses 'for source in *' which uses standard glob sorting,
# NOT dictionary order. So we use standard sorted() here, not dictionary_sort_key.
for include_file in sorted(includes_dir.iterdir(), key=lambda p: p.name):
if not include_file.is_file():
continue
includes_cache[include_file.name] = []
includes_lookup[include_file.name] = {}
with open(include_file, "r") as f:
for line in f:
parts = line.strip().split()
if len(parts) >= 2:
include_name = parts[0]
include_count = int(parts[1])
includes_cache[include_file.name].append(
(include_name, include_count)
)
includes_lookup[include_file.name][include_name] = include_count
with open(loops_file, "w", buffering=8192) as loops_f, open(
ordering_file, "w", buffering=8192
) as ordering_f:
# Use standard sorting to match bash glob expansion 'for source in *'
for source in sorted(includes_cache.keys()):
source_includes = includes_cache[source]
for include, include_freq in source_includes:
# Check if include file exists and references source
if include not in includes_lookup:
continue
source_freq = includes_lookup[include].get(source)
if source_freq is not None:
# Found a loop
loop_key = tuple(sorted([source, include]))
if loop_key in loops_found:
continue
loops_found.add(loop_key)
loops_f.write(f"Loop: {source} {include}\n")
# If the counts are close, indicate that the two modules are
# on the same level, though they shouldn't be
diff = include_freq - source_freq
if diff > 3:
loops_f.write(f" {source} > {include}\n\n")
elif diff < -3:
loops_f.write(f" {include} > {source}\n\n")
elif source_freq == include_freq:
loops_f.write(f" {include} == {source}\n\n")
else:
loops_f.write(f" {include} ~= {source}\n\n")
else:
ordering_f.write(f"{source} > {include}\n")
# Print results
print("\nOrdering:")
with open(ordering_file, "r") as f:
print(f.read(), end="")
print("\nLoops:")
with open(loops_file, "r") as f:
print(f.read(), end="")
if __name__ == "__main__":
main()

130
.github/scripts/levelization/generate.sh vendored Executable file
View File

@@ -0,0 +1,130 @@
#!/bin/bash
# Usage: generate.sh
# This script takes no parameters, reads no environment variables,
# and can be run from any directory, as long as it is in the expected
# location in the repo.
pushd $( dirname $0 )
if [ -v PS1 ]
then
# if the shell is interactive, clean up any flotsam before analyzing
git clean -ix
fi
# Ensure all sorting is ASCII-order consistently across platforms.
export LANG=C
rm -rfv results
mkdir results
includes="$( pwd )/results/rawincludes.txt"
pushd ../../..
echo Raw includes:
grep -r '^[ ]*#include.*/.*\.h' include src | \
grep -v boost | tee ${includes}
popd
pushd results
oldifs=${IFS}
IFS=:
mkdir includes
mkdir included_by
echo Build levelization paths
exec 3< ${includes} # open rawincludes.txt for input
while read -r -u 3 file include
do
level=$( echo ${file} | cut -d/ -f 2,3 )
# If the "level" indicates a file, cut off the filename
if [[ "${level##*.}" != "${level}" ]]
then
# Use the "toplevel" label as a workaround for `sort`
# inconsistencies between different utility versions
level="$( dirname ${level} )/toplevel"
fi
level=$( echo ${level} | tr '/' '.' )
includelevel=$( echo ${include} | sed 's/.*["<]//; s/[">].*//' | \
cut -d/ -f 1,2 )
if [[ "${includelevel##*.}" != "${includelevel}" ]]
then
# Use the "toplevel" label as a workaround for `sort`
# inconsistencies between different utility versions
includelevel="$( dirname ${includelevel} )/toplevel"
fi
includelevel=$( echo ${includelevel} | tr '/' '.' )
if [[ "$level" != "$includelevel" ]]
then
echo $level $includelevel | tee -a paths.txt
fi
done
echo Sort and deduplicate paths
sort -ds paths.txt | uniq -c | tee sortedpaths.txt
mv sortedpaths.txt paths.txt
exec 3>&- #close fd 3
IFS=${oldifs}
unset oldifs
echo Split into flat-file database
exec 4<paths.txt # open paths.txt for input
while read -r -u 4 count level include
do
echo ${include} ${count} | tee -a includes/${level}
echo ${level} ${count} | tee -a included_by/${include}
done
exec 4>&- #close fd 4
loops="$( pwd )/loops.txt"
ordering="$( pwd )/ordering.txt"
pushd includes
echo Search for loops
# Redirect stdout to a file
exec 4>&1
exec 1>"${loops}"
for source in *
do
if [[ -f "$source" ]]
then
exec 5<"${source}" # open for input
while read -r -u 5 include includefreq
do
if [[ -f $include ]]
then
if grep -q -w $source $include
then
if grep -q -w "Loop: $include $source" "${loops}"
then
continue
fi
sourcefreq=$( grep -w $source $include | cut -d\ -f2 )
echo "Loop: $source $include"
# If the counts are close, indicate that the two modules are
# on the same level, though they shouldn't be
if [[ $(( $includefreq - $sourcefreq )) -gt 3 ]]
then
echo -e " $source > $include\n"
elif [[ $(( $sourcefreq - $includefreq )) -gt 3 ]]
then
echo -e " $include > $source\n"
elif [[ $sourcefreq -eq $includefreq ]]
then
echo -e " $include == $source\n"
else
echo -e " $include ~= $source\n"
fi
else
echo "$source > $include" >> "${ordering}"
fi
fi
done
exec 5>&- #close fd 5
fi
done
exec 1>&4 #close fd 1
exec 4>&- #close fd 4
cat "${ordering}"
cat "${loops}"
popd
popd
popd

View File

@@ -32,6 +32,8 @@ libxrpl.server > xrpl.server
libxrpl.shamap > xrpl.basics
libxrpl.shamap > xrpl.protocol
libxrpl.shamap > xrpl.shamap
libxrpl.telemetry > xrpl.basics
libxrpl.telemetry > xrpl.telemetry
libxrpl.tx > xrpl.basics
libxrpl.tx > xrpl.conditions
libxrpl.tx > xrpl.core
@@ -172,8 +174,10 @@ test.toplevel > test.csf
test.toplevel > xrpl.json
test.unit_test > xrpl.basics
tests.libxrpl > xrpl.basics
tests.libxrpl > xrpld.telemetry
tests.libxrpl > xrpl.json
tests.libxrpl > xrpl.net
tests.libxrpl > xrpl.telemetry
xrpl.conditions > xrpl.basics
xrpl.conditions > xrpl.protocol
xrpl.core > xrpl.basics
@@ -206,6 +210,7 @@ xrpl.server > xrpl.shamap
xrpl.shamap > xrpl.basics
xrpl.shamap > xrpl.nodestore
xrpl.shamap > xrpl.protocol
xrpl.telemetry > xrpl.basics
xrpl.tx > xrpl.basics
xrpl.tx > xrpl.core
xrpl.tx > xrpl.ledger
@@ -215,6 +220,7 @@ xrpld.app > xrpl.basics
xrpld.app > xrpl.core
xrpld.app > xrpld.consensus
xrpld.app > xrpld.core
xrpld.app > xrpld.telemetry
xrpld.app > xrpl.json
xrpld.app > xrpl.ledger
xrpld.app > xrpl.net
@@ -224,6 +230,7 @@ xrpld.app > xrpl.rdb
xrpld.app > xrpl.resource
xrpld.app > xrpl.server
xrpld.app > xrpl.shamap
xrpld.app > xrpl.telemetry
xrpld.app > xrpl.tx
xrpld.consensus > xrpl.basics
xrpld.consensus > xrpl.json
@@ -238,6 +245,7 @@ xrpld.overlay > xrpl.basics
xrpld.overlay > xrpl.core
xrpld.overlay > xrpld.core
xrpld.overlay > xrpld.peerfinder
xrpld.overlay > xrpld.telemetry
xrpld.overlay > xrpl.json
xrpld.overlay > xrpl.protocol
xrpld.overlay > xrpl.rdb
@@ -255,6 +263,7 @@ xrpld.perflog > xrpl.json
xrpld.rpc > xrpl.basics
xrpld.rpc > xrpl.core
xrpld.rpc > xrpld.core
xrpld.rpc > xrpld.telemetry
xrpld.rpc > xrpl.json
xrpld.rpc > xrpl.ledger
xrpld.rpc > xrpl.net
@@ -265,3 +274,4 @@ xrpld.rpc > xrpl.resource
xrpld.rpc > xrpl.server
xrpld.rpc > xrpl.tx
xrpld.shamap > xrpl.shamap
xrpld.telemetry > xrpl.telemetry

View File

@@ -11,7 +11,7 @@ on:
jobs:
# Call the workflow in the XRPLF/actions repo that runs the pre-commit hooks.
run-hooks:
uses: XRPLF/actions/.github/workflows/pre-commit.yml@56de1bdf19639e009639a50b8d17c28ca954f267
uses: XRPLF/actions/.github/workflows/pre-commit.yml@320be44621ca2a080f05aeb15817c44b84518108
with:
runs_on: ubuntu-latest
container: '{ "image": "ghcr.io/xrplf/ci/tools-rippled-pre-commit:sha-41ec7c1" }'

View File

@@ -40,18 +40,15 @@ env:
NPROC_SUBTRACT: ${{ github.event.repository.private && '1' || '2' }}
jobs:
build:
publish:
runs-on: ubuntu-latest
container: ghcr.io/xrplf/ci/tools-rippled-documentation:sha-a8c7be1
permissions:
contents: write
steps:
- name: Checkout repository
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Prepare runner
uses: XRPLF/actions/prepare-runner@2cbf481018d930656e9276fcc20dc0e3a0be5b6d
with:
enable_ccache: false
- name: Get number of processors
uses: XRPLF/actions/get-nproc@cf0433aa74563aead044a1e395610c96d65a37cf
id: nproc
@@ -81,23 +78,9 @@ jobs:
cmake -Donly_docs=ON ..
cmake --build . --target docs --parallel ${BUILD_NPROC}
- name: Create documentation artifact
- name: Publish documentation
if: ${{ github.event_name == 'push' }}
uses: actions/upload-pages-artifact@7b1f4a764d45c48632c6b24a0339c27f5614fb0b # v4.0.0
uses: peaceiris/actions-gh-pages@4f9cc6602d3f66b9c108549d475ec49e8ef4d45e # v4.0.0
with:
path: ${{ env.BUILD_DIR }}/docs/html
deploy:
if: ${{ github.event_name == 'push' }}
needs: build
runs-on: ubuntu-latest
permissions:
pages: write
id-token: write
environment:
name: github-pages
url: ${{ steps.deploy.outputs.page_url }}
steps:
- name: Deploy to GitHub Pages
id: deploy
uses: actions/deploy-pages@d6db90164ac5ed86f2b6aed7e0febac5b3c0c03e # v4.0.5
github_token: ${{ secrets.GITHUB_TOKEN }}
publish_dir: ${{ env.BUILD_DIR }}/docs/html

View File

@@ -101,7 +101,7 @@ jobs:
steps:
- name: Cleanup workspace (macOS and Windows)
if: ${{ runner.os == 'macOS' || runner.os == 'Windows' }}
uses: XRPLF/actions/cleanup-workspace@c7d9ce5ebb03c752a354889ecd870cadfc2b1cd4
uses: XRPLF/actions/cleanup-workspace@cf0433aa74563aead044a1e395610c96d65a37cf
- name: Checkout repository
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
@@ -177,7 +177,7 @@ jobs:
- name: Upload the binary (Linux)
if: ${{ github.repository_owner == 'XRPLF' && runner.os == 'Linux' }}
uses: actions/upload-artifact@bbbca2ddaa5d8feaa63e36b76fdaad77386f024f # v7.0.0
uses: actions/upload-artifact@b7c566a772e6b6bfb58ed0dc250532a479d7789f # v6.0.0
with:
name: xrpld-${{ inputs.config_name }}
path: ${{ env.BUILD_DIR }}/xrpld
@@ -229,21 +229,8 @@ jobs:
env:
BUILD_NPROC: ${{ steps.nproc.outputs.nproc }}
run: |
set -o pipefail
./xrpld --unittest --unittest-jobs "${BUILD_NPROC}" 2>&1 | tee unittest.log
./xrpld --unittest --unittest-jobs "${BUILD_NPROC}"
- name: Show test failure summary
if: ${{ failure() && !inputs.build_only }}
working-directory: ${{ runner.os == 'Windows' && format('{0}/{1}', env.BUILD_DIR, inputs.build_type) || env.BUILD_DIR }}
run: |
if [ ! -f unittest.log ]; then
echo "unittest.log not found; embedded tests may not have run."
exit 0
fi
if ! grep -E "failed" unittest.log; then
echo "Log present but no failure lines found in unittest.log."
fi
- name: Debug failure (Linux)
if: ${{ failure() && runner.os == 'Linux' && !inputs.build_only }}
run: |

View File

@@ -20,7 +20,7 @@ jobs:
- name: Checkout repository
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2
- name: Check levelization
run: python .github/scripts/levelization/generate.py
run: .github/scripts/levelization/generate.sh
- name: Check for differences
env:
MESSAGE: |
@@ -32,7 +32,7 @@ jobs:
removed from loops.txt, it's probably an improvement, while if
something was added, it's probably a regression.
Run '.github/scripts/levelization/generate.py' in your repo, commit
Run '.github/scripts/levelization/generate.sh' in your repo, commit
and push the changes. See .github/scripts/levelization/README.md for
more info.
run: |

View File

@@ -78,13 +78,13 @@ jobs:
id: run_clang_tidy
continue-on-error: true
env:
TARGETS: ${{ inputs.files != '' && inputs.files || 'src tests' }}
FILES: ${{ inputs.files }}
run: |
run-clang-tidy -j ${{ steps.nproc.outputs.nproc }} -p "${BUILD_DIR}" ${TARGETS} 2>&1 | tee clang-tidy-output.txt
run-clang-tidy -j ${{ steps.nproc.outputs.nproc }} -p "$BUILD_DIR" $FILES 2>&1 | tee clang-tidy-output.txt
- name: Upload clang-tidy output
if: steps.run_clang_tidy.outcome != 'success'
uses: actions/upload-artifact@bbbca2ddaa5d8feaa63e36b76fdaad77386f024f # v7.0.0
uses: actions/upload-artifact@b7c566a772e6b6bfb58ed0dc250532a479d7789f # v6.0.0
with:
name: clang-tidy-results
path: clang-tidy-output.txt

View File

@@ -22,8 +22,7 @@ jobs:
if: ${{ inputs.check_only_changed }}
runs-on: ubuntu-latest
outputs:
clang_tidy_config_changed: ${{ steps.changed_clang_tidy.outputs.any_changed }}
any_cpp_changed: ${{ steps.changed_files.outputs.any_changed }}
any_changed: ${{ steps.changed_files.outputs.any_changed }}
all_changed_files: ${{ steps.changed_files.outputs.all_changed_files }}
steps:
- name: Checkout repository
@@ -39,17 +38,10 @@ jobs:
**/*.ipp
separator: " "
- name: Get changed clang-tidy configuration
id: changed_clang_tidy
uses: tj-actions/changed-files@7dee1b0c1557f278e5c7dc244927139d78c0e22a # v47.0.4
with:
files: |
.clang-tidy
run-clang-tidy:
needs: [determine-files]
if: ${{ always() && !cancelled() && (!inputs.check_only_changed || needs.determine-files.outputs.any_cpp_changed == 'true' || needs.determine-files.outputs.clang_tidy_config_changed == 'true') }}
if: ${{ always() && !cancelled() && (!inputs.check_only_changed || needs.determine-files.outputs.any_changed == 'true') }}
uses: ./.github/workflows/reusable-clang-tidy-files.yml
with:
files: ${{ (needs.determine-files.outputs.clang_tidy_config_changed == 'true' && '') || (inputs.check_only_changed && needs.determine-files.outputs.all_changed_files || '') }}
files: ${{ inputs.check_only_changed && needs.determine-files.outputs.all_changed_files || '' }}
create_issue_on_failure: ${{ inputs.create_issue_on_failure }}

View File

@@ -64,7 +64,7 @@ jobs:
steps:
- name: Cleanup workspace (macOS and Windows)
if: ${{ runner.os == 'macOS' || runner.os == 'Windows' }}
uses: XRPLF/actions/cleanup-workspace@c7d9ce5ebb03c752a354889ecd870cadfc2b1cd4
uses: XRPLF/actions/cleanup-workspace@cf0433aa74563aead044a1e395610c96d65a37cf
- name: Checkout repository
uses: actions/checkout@de0fac2e4500dabe0009e67214ff5f5447ce83dd # v6.0.2

3
.gitignore vendored
View File

@@ -75,9 +75,6 @@ DerivedData
/.claude
/CLAUDE.md
# Python
__pycache__
# Direnv's directory
/.direnv

View File

@@ -20,29 +20,30 @@ repos:
args: [--assume-in-merge]
- repo: https://github.com/pre-commit/mirrors-clang-format
rev: cd481d7b0bfb5c7b3090c21846317f9a8262e891 # frozen: v22.1.0
rev: 75ca4ad908dc4a99f57921f29b7e6c1521e10b26 # frozen: v21.1.8
hooks:
- id: clang-format
args: [--style=file]
"types_or": [c++, c, proto]
- repo: https://github.com/BlankSpruce/gersemi
rev: 0.26.0
- repo: https://github.com/cheshirekow/cmake-format-precommit
rev: e2c2116d86a80e72e7146a06e68b7c228afc6319 # frozen: v0.6.13
hooks:
- id: gersemi
- id: cmake-format
additional_dependencies: [PyYAML]
- repo: https://github.com/rbubley/mirrors-prettier
rev: c2bc67fe8f8f549cc489e00ba8b45aa18ee713b1 # frozen: v3.8.1
rev: 5ba47274f9b181bce26a5150a725577f3c336011 # frozen: v3.6.2
hooks:
- id: prettier
- repo: https://github.com/psf/black-pre-commit-mirror
rev: ea488cebbfd88a5f50b8bd95d5c829d0bb76feb8 # frozen: 26.1.0
rev: 831207fd435b47aeffdf6af853097e64322b4d44 # frozen: v25.12.0
hooks:
- id: black
- repo: https://github.com/streetsidesoftware/cspell-cli
rev: a42085ade523f591dca134379a595e7859986445 # frozen: v9.7.0
rev: 1cfa010f078c354f3ffb8413616280cc28f5ba21 # frozen: v9.4.0
hooks:
- id: cspell # Spell check changed files
exclude: .config/cspell.config.yaml
@@ -60,15 +61,7 @@ repos:
hooks:
- id: nix-fmt
name: Format Nix files
entry: |
bash -c '
if command -v nix &> /dev/null || [ "$GITHUB_ACTIONS" = "true" ]; then
nix --extra-experimental-features "nix-command flakes" fmt "$@"
else
echo "Skipping nix-fmt: nix not installed and not in GitHub Actions"
exit 0
fi
' --
entry: nix --extra-experimental-features 'nix-command flakes' fmt
language: system
types:
- nix

View File

@@ -22,19 +22,6 @@ API version 2 is available in `rippled` version 2.0.0 and later. See [API-VERSIO
This version is supported by all `rippled` versions. For WebSocket and HTTP JSON-RPC requests, it is currently the default API version used when no `api_version` is specified.
## Unreleased
This section contains changes targeting a future version.
### Additions
- `server_definitions`: Added the following new sections to the response ([#6321](https://github.com/XRPLF/rippled/pull/6321)):
- `TRANSACTION_FORMATS`: Describes the fields and their optionality for each transaction type, including common fields shared across all transactions.
- `LEDGER_ENTRY_FORMATS`: Describes the fields and their optionality for each ledger entry type, including common fields shared across all ledger entries.
- `TRANSACTION_FLAGS`: Maps transaction type names to their supported flags and flag values.
- `LEDGER_ENTRY_FLAGS`: Maps ledger entry type names to their flags and flag values.
- `ACCOUNT_SET_FLAGS`: Maps AccountSet flag names (asf flags) to their numeric values.
## XRP Ledger server version 3.1.0
[Version 3.1.0](https://github.com/XRPLF/rippled/releases/tag/3.1.0) was released on Jan 27, 2026.

View File

@@ -1,16 +1,16 @@
cmake_minimum_required(VERSION 3.16)
if(POLICY CMP0074)
if (POLICY CMP0074)
cmake_policy(SET CMP0074 NEW)
endif()
if(POLICY CMP0077)
endif ()
if (POLICY CMP0077)
cmake_policy(SET CMP0077 NEW)
endif()
endif ()
# Fix "unrecognized escape" issues when passing CMAKE_MODULE_PATH on Windows.
if(DEFINED CMAKE_MODULE_PATH)
if (DEFINED CMAKE_MODULE_PATH)
file(TO_CMAKE_PATH "${CMAKE_MODULE_PATH}" CMAKE_MODULE_PATH)
endif()
endif ()
list(APPEND CMAKE_MODULE_PATH "${CMAKE_CURRENT_SOURCE_DIR}/cmake")
project(xrpl)
@@ -21,64 +21,77 @@ set(CMAKE_EXPORT_COMPILE_COMMANDS ON)
include(CompilationEnv)
if(is_gcc)
if (is_gcc)
# GCC-specific fixes
add_compile_options(-Wno-unknown-pragmas -Wno-subobject-linkage)
# -Wno-subobject-linkage can be removed when we upgrade GCC version to at least 13.3
elseif(is_clang)
elseif (is_clang)
# Clang-specific fixes
add_compile_options(-Wno-unknown-warning-option) # Ignore unknown warning options
elseif(is_msvc)
elseif (is_msvc)
# MSVC-specific fixes
add_compile_options(/wd4068) # Ignore unknown pragmas
endif()
endif ()
# Enable ccache to speed up builds.
include(Ccache)
if(thread_safety_analysis)
add_compile_options(
-Wthread-safety
-D_LIBCPP_ENABLE_THREAD_SAFETY_ANNOTATIONS
-DXRPL_ENABLE_THREAD_SAFETY_ANNOTATIONS
)
# make GIT_COMMIT_HASH define available to all sources
find_package(Git)
if (Git_FOUND)
execute_process(COMMAND ${GIT_EXECUTABLE} --git-dir=${CMAKE_CURRENT_SOURCE_DIR}/.git rev-parse
HEAD OUTPUT_STRIP_TRAILING_WHITESPACE OUTPUT_VARIABLE gch)
if (gch)
set(GIT_COMMIT_HASH "${gch}")
message(STATUS gch: ${GIT_COMMIT_HASH})
add_definitions(-DGIT_COMMIT_HASH="${GIT_COMMIT_HASH}")
endif ()
execute_process(COMMAND ${GIT_EXECUTABLE} --git-dir=${CMAKE_CURRENT_SOURCE_DIR}/.git rev-parse
--abbrev-ref HEAD OUTPUT_STRIP_TRAILING_WHITESPACE OUTPUT_VARIABLE gb)
if (gb)
set(GIT_BRANCH "${gb}")
message(STATUS gb: ${GIT_BRANCH})
add_definitions(-DGIT_BRANCH="${GIT_BRANCH}")
endif ()
endif () # git
if (thread_safety_analysis)
add_compile_options(-Wthread-safety -D_LIBCPP_ENABLE_THREAD_SAFETY_ANNOTATIONS
-DXRPL_ENABLE_THREAD_SAFETY_ANNOTATIONS)
add_compile_options("-stdlib=libc++")
add_link_options("-stdlib=libc++")
endif()
endif ()
include(CheckCXXCompilerFlag)
include(FetchContent)
include(ExternalProject)
include(CMakeFuncs) # must come *after* ExternalProject b/c it overrides one function in EP
if(target)
message(
FATAL_ERROR
"The target option has been removed - use native cmake options to control build"
if (target)
message(FATAL_ERROR "The target option has been removed - use native cmake options to control build"
)
endif()
endif ()
include(XrplSanity)
include(XrplVersion)
include(XrplSettings)
# this check has to remain in the top-level cmake because of the early return statement
if(packages_only)
if(NOT TARGET rpm)
message(
FATAL_ERROR
"packages_only requested, but targets were not created - is docker installed?"
if (packages_only)
if (NOT TARGET rpm)
message(FATAL_ERROR "packages_only requested, but targets were not created - is docker installed?"
)
endif()
endif ()
return()
endif()
endif ()
include(XrplCompiler)
include(XrplSanitizers)
include(XrplInterface)
option(only_docs "Include only the docs target?" FALSE)
include(XrplDocs)
if(only_docs)
if (only_docs)
return()
endif()
endif ()
include(deps/Boost)
@@ -97,46 +110,54 @@ find_package(xxHash REQUIRED)
target_link_libraries(
xrpl_libs
INTERFACE
ed25519::ed25519
lz4::lz4
OpenSSL::Crypto
OpenSSL::SSL
secp256k1::secp256k1
soci::soci
SQLite::SQLite3
)
INTERFACE ed25519::ed25519
lz4::lz4
OpenSSL::Crypto
OpenSSL::SSL
secp256k1::secp256k1
soci::soci
SQLite::SQLite3)
option(rocksdb "Enable RocksDB" ON)
if(rocksdb)
if (rocksdb)
find_package(RocksDB REQUIRED)
set_target_properties(
RocksDB::rocksdb
PROPERTIES INTERFACE_COMPILE_DEFINITIONS XRPL_ROCKSDB_AVAILABLE=1
)
set_target_properties(RocksDB::rocksdb PROPERTIES INTERFACE_COMPILE_DEFINITIONS
XRPL_ROCKSDB_AVAILABLE=1)
target_link_libraries(xrpl_libs INTERFACE RocksDB::rocksdb)
endif()
endif ()
# OpenTelemetry distributed tracing (optional).
# When ON, links against opentelemetry-cpp and defines XRPL_ENABLE_TELEMETRY
# so that tracing macros in TracingInstrumentation.h are compiled in.
# When OFF (default), all tracing code compiles to no-ops with zero overhead.
# Enable via: conan install -o telemetry=True, or cmake -Dtelemetry=ON.
option(telemetry "Enable OpenTelemetry tracing" OFF)
if (telemetry)
find_package(opentelemetry-cpp CONFIG REQUIRED)
add_compile_definitions(XRPL_ENABLE_TELEMETRY)
message(STATUS "OpenTelemetry tracing enabled")
endif ()
# Work around changes to Conan recipe for now.
if(TARGET nudb::core)
if (TARGET nudb::core)
set(nudb nudb::core)
elseif(TARGET NuDB::nudb)
elseif (TARGET NuDB::nudb)
set(nudb NuDB::nudb)
else()
else ()
message(FATAL_ERROR "unknown nudb target")
endif()
endif ()
target_link_libraries(xrpl_libs INTERFACE ${nudb})
if(coverage)
if (coverage)
include(XrplCov)
endif()
endif ()
set(PROJECT_EXPORT_SET XrplExports)
include(XrplCore)
include(XrplInstall)
include(XrplValidatorKeys)
if(tests)
if (tests)
include(CTest)
add_subdirectory(src/tests/libxrpl)
endif()
endif ()

View File

@@ -251,29 +251,6 @@ pip3 install pre-commit
pre-commit install
```
## Clang-tidy
All code must pass `clang-tidy` checks according to the settings in [`.clang-tidy`](./.clang-tidy).
There is a Continuous Integration job that runs clang-tidy on pull requests. The CI will check:
- All changed C++ files (`.cpp`, `.h`, `.ipp`) when only code files are modified
- **All files in the repository** when the `.clang-tidy` configuration file is changed
This ensures that configuration changes don't introduce new warnings across the codebase.
### Running clang-tidy locally
Before running clang-tidy, you must build the project to generate required files (particularly protobuf headers). Refer to [`BUILD.md`](./BUILD.md) for build instructions.
Then run clang-tidy on your local changes:
```
run-clang-tidy -p build src tests
```
This will check all source files in the `src` and `tests` directories using the compile commands from your `build` directory.
## Contracts and instrumentation
We are using [Antithesis](https://antithesis.com/) for continuous fuzzing,

View File

@@ -0,0 +1,244 @@
# Distributed Tracing Fundamentals
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Next**: [Architecture Analysis](./01-architecture-analysis.md)
---
## What is Distributed Tracing?
Distributed tracing is a method for tracking data objects as they flow through distributed systems. In a network like XRP Ledger, a single transaction touches multiple independent nodes—each with no shared memory or logging. Distributed tracing connects these dots.
**Without tracing:** You see isolated logs on each node with no way to correlate them.
**With tracing:** You see the complete journey of a transaction or an event across all nodes it touched.
---
## Core Concepts
### 1. Trace
A **trace** represents the entire journey of a request through the system. It has a unique `trace_id` that stays constant across all nodes.
```
Trace ID: abc123
├── Node A: received transaction
├── Node B: relayed transaction
├── Node C: included in consensus
└── Node D: applied to ledger
```
### 2. Span
A **span** represents a single unit of work within a trace. Each span has:
| Attribute | Description | Example |
| ---------------- | --------------------- | -------------------------- |
| `trace_id` | Links to parent trace | `abc123` |
| `span_id` | Unique identifier | `span456` |
| `parent_span_id` | Parent span (if any) | `p_span123` |
| `name` | Operation name | `rpc.submit` |
| `start_time` | When work began | `2024-01-15T10:30:00Z` |
| `end_time` | When work completed | `2024-01-15T10:30:00.050Z` |
| `attributes` | Key-value metadata | `tx.hash=ABC...` |
| `status` | OK, ERROR MSG | `OK` |
### 3. Trace Context
**Trace context** is the data that propagates between services to link spans together. It contains:
- `trace_id` - The trace this span belongs to
- `span_id` - The current span (becomes parent for child spans)
- `trace_flags` - Sampling decisions
---
## How Spans Form a Trace
Spans have parent-child relationships forming a tree structure:
```mermaid
flowchart TB
subgraph trace["Trace: abc123"]
A["tx.submit<br/>span_id: 001<br/>50ms"] --> B["tx.validate<br/>span_id: 002<br/>5ms"]
A --> C["tx.relay<br/>span_id: 003<br/>10ms"]
A --> D["tx.apply<br/>span_id: 004<br/>30ms"]
D --> E["ledger.update<br/>span_id: 005<br/>20ms"]
end
style A fill:#0d47a1,stroke:#082f6a,color:#ffffff
style B fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style C fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style D fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style E fill:#bf360c,stroke:#8c2809,color:#ffffff
```
The same trace visualized as a **timeline (Gantt chart)**:
```
Time → 0ms 10ms 20ms 30ms 40ms 50ms
├───────────────────────────────────────────┤
tx.submit│▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓│
├─────┤
tx.valid │▓▓▓▓▓│
│ ├──────────┤
tx.relay │ │▓▓▓▓▓▓▓▓▓▓│
│ ├────────────────────────────┤
tx.apply │ │▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓│
│ ├──────────────────┤
ledger │ │▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓│
```
---
## Distributed Traces Across Nodes
In distributed systems like rippled, traces span **multiple independent nodes**. The trace context must be propagated in network messages:
```mermaid
sequenceDiagram
participant Client
participant NodeA as Node A
participant NodeB as Node B
participant NodeC as Node C
Client->>NodeA: Submit TX<br/>(no trace context)
Note over NodeA: Creates new trace<br/>trace_id: abc123<br/>span: tx.receive
NodeA->>NodeB: Relay TX<br/>(trace_id: abc123, parent: 001)
Note over NodeB: Creates child span<br/>span: tx.relay<br/>parent_span_id: 001
NodeA->>NodeC: Relay TX<br/>(trace_id: abc123, parent: 001)
Note over NodeC: Creates child span<br/>span: tx.relay<br/>parent_span_id: 001
Note over NodeA,NodeC: All spans share trace_id: abc123<br/>enabling correlation across nodes
```
---
## Context Propagation
For traces to work across nodes, **trace context must be propagated** in messages.
### What's in the Context (32 bytes)
| Field | Size | Description |
| ------------- | ---------- | ------------------------------------------------------- |
| `trace_id` | 16 bytes | Identifies the entire trace (constant across all nodes) |
| `span_id` | 8 bytes | The sender's current span (becomes parent on receiver) |
| `trace_flags` | 4 bytes | Sampling decision flags |
| `trace_state` | ~0-4 bytes | Optional vendor-specific data |
### How span_id Changes at Each Hop
Only **one** `span_id` travels in the context - the sender's current span. Each node:
1. Extracts the received `span_id` and uses it as the `parent_span_id`
2. Creates a **new** `span_id` for its own span
3. Sends its own `span_id` as the parent when forwarding
```
Node A Node B Node C
────── ────── ──────
Span AAA Span BBB Span CCC
│ │ │
▼ ▼ ▼
Context out: Context out: Context out:
├─ trace_id: abc123 ├─ trace_id: abc123 ├─ trace_id: abc123
├─ span_id: AAA ──────────► ├─ span_id: BBB ──────────► ├─ span_id: CCC ──────►
└─ flags: 01 └─ flags: 01 └─ flags: 01
│ │
parent = AAA parent = BBB
```
The `trace_id` stays constant, but `span_id` **changes at every hop** to maintain the parent-child chain.
### Propagation Formats
There are two patterns:
### HTTP/RPC Headers (W3C Trace Context)
```
traceparent: 00-abc123def456-span789-01
│ │ │ │
│ │ │ └── Flags (sampled)
│ │ └── Parent span ID
│ └── Trace ID
└── Version
```
### Protocol Buffers (rippled P2P messages)
```protobuf
message TMTransaction {
bytes rawTransaction = 1;
// ... existing fields ...
// Trace context extension
bytes trace_parent = 100; // W3C traceparent
bytes trace_state = 101; // W3C tracestate
}
```
---
## Sampling
Not every trace needs to be recorded. **Sampling** reduces overhead:
### Head Sampling (at trace start)
```
Request arrives → Random 10% chance → Record or skip entire trace
```
- ✅ Low overhead
- ❌ May miss interesting traces
### Tail Sampling (after trace completes)
```
Trace completes → Collector evaluates:
- Error? → KEEP
- Slow? → KEEP
- Normal? → Sample 10%
```
- ✅ Never loses important traces
- ❌ Higher memory usage at collector
---
## Key Benefits for rippled
| Challenge | How Tracing Helps |
| ---------------------------------- | ---------------------------------------- |
| "Where is my transaction?" | Follow trace across all nodes it touched |
| "Why was consensus slow?" | See timing breakdown of each phase |
| "Which node is the bottleneck?" | Compare span durations across nodes |
| "What happened during the outage?" | Correlate errors across the network |
---
## Glossary
| Term | Definition |
| ------------------- | --------------------------------------------------------------- |
| **Trace** | Complete journey of a request, identified by `trace_id` |
| **Span** | Single operation within a trace |
| **Context** | Data propagated between services (`trace_id`, `span_id`, flags) |
| **Instrumentation** | Code that creates spans and propagates context |
| **Collector** | Service that receives, processes, and exports traces |
| **Backend** | Storage/visualization system (Jaeger, Tempo, etc.) |
| **Head Sampling** | Sampling decision at trace start |
| **Tail Sampling** | Sampling decision after trace completes |
---
_Next: [Architecture Analysis](./01-architecture-analysis.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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# Architecture Analysis
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Design Decisions](./02-design-decisions.md) | [Implementation Strategy](./03-implementation-strategy.md)
---
## 1.1 Current rippled Architecture Overview
The rippled node software consists of several interconnected components that need instrumentation for distributed tracing:
```mermaid
flowchart TB
subgraph rippled["rippled Node"]
subgraph services["Core Services"]
RPC["RPC Server<br/>(HTTP/WS/gRPC)"]
Overlay["Overlay<br/>(P2P Network)"]
Consensus["Consensus<br/>(RCLConsensus)"]
end
JobQueue["JobQueue<br/>(Thread Pool)"]
subgraph processing["Processing Layer"]
NetworkOPs["NetworkOPs<br/>(Tx Processing)"]
LedgerMaster["LedgerMaster<br/>(Ledger Mgmt)"]
NodeStore["NodeStore<br/>(Database)"]
end
subgraph observability["Existing Observability"]
PerfLog["PerfLog<br/>(JSON)"]
Insight["Insight<br/>(StatsD)"]
Logging["Logging<br/>(Journal)"]
end
services --> JobQueue
JobQueue --> processing
end
style rippled fill:#424242,stroke:#212121,color:#ffffff
style services fill:#1565c0,stroke:#0d47a1,color:#ffffff
style processing fill:#2e7d32,stroke:#1b5e20,color:#ffffff
style observability fill:#e65100,stroke:#bf360c,color:#ffffff
```
---
## 1.2 Key Components for Instrumentation
| Component | Location | Purpose | Trace Value |
| ----------------- | ------------------------------------------ | ------------------------ | ---------------------------- |
| **Overlay** | `src/xrpld/overlay/` | P2P communication | Message propagation timing |
| **PeerImp** | `src/xrpld/overlay/detail/PeerImp.cpp` | Individual peer handling | Per-peer latency |
| **RCLConsensus** | `src/xrpld/app/consensus/RCLConsensus.cpp` | Consensus algorithm | Round timing, phase analysis |
| **NetworkOPs** | `src/xrpld/app/misc/NetworkOPs.cpp` | Transaction processing | Tx lifecycle tracking |
| **ServerHandler** | `src/xrpld/rpc/detail/ServerHandler.cpp` | RPC entry point | Request latency |
| **RPCHandler** | `src/xrpld/rpc/detail/RPCHandler.cpp` | Command execution | Per-command timing |
| **JobQueue** | `src/xrpl/core/JobQueue.h` | Async task execution | Queue wait times |
---
## 1.3 Transaction Flow Diagram
Transaction flow spans multiple nodes in the network. Each node creates linked spans to form a distributed trace:
```mermaid
sequenceDiagram
participant Client
participant PeerA as Peer A (Receive)
participant PeerB as Peer B (Relay)
participant PeerC as Peer C (Validate)
Client->>PeerA: 1. Submit TX
rect rgb(230, 245, 255)
Note over PeerA: tx.receive SPAN START
PeerA->>PeerA: HashRouter Deduplication
PeerA->>PeerA: tx.validate (child span)
end
PeerA->>PeerB: 2. Relay TX (with trace ctx)
rect rgb(230, 245, 255)
Note over PeerB: tx.receive (linked span)
end
PeerB->>PeerC: 3. Relay TX
rect rgb(230, 245, 255)
Note over PeerC: tx.receive (linked span)
PeerC->>PeerC: tx.process
end
Note over Client,PeerC: DISTRIBUTED TRACE (same trace_id: abc123)
```
### Trace Structure
```
trace_id: abc123
├── span: tx.receive (Peer A)
│ ├── span: tx.validate
│ └── span: tx.relay
├── span: tx.receive (Peer B) [parent: Peer A]
│ └── span: tx.relay
└── span: tx.receive (Peer C) [parent: Peer B]
└── span: tx.process
```
---
## 1.4 Consensus Round Flow
Consensus rounds are multi-phase operations that benefit significantly from tracing:
```mermaid
flowchart TB
subgraph round["consensus.round (root span)"]
attrs["Attributes:<br/>xrpl.consensus.ledger.seq = 12345678<br/>xrpl.consensus.mode = proposing<br/>xrpl.consensus.proposers = 35"]
subgraph open["consensus.phase.open"]
open_desc["Duration: ~3s<br/>Waiting for transactions"]
end
subgraph establish["consensus.phase.establish"]
est_attrs["proposals_received = 28<br/>disputes_resolved = 3"]
est_children["├── consensus.proposal.receive (×28)<br/>├── consensus.proposal.send (×1)<br/>└── consensus.dispute.resolve (×3)"]
end
subgraph accept["consensus.phase.accept"]
acc_attrs["transactions_applied = 150<br/>ledger.hash = DEF456..."]
acc_children["├── ledger.build<br/>└── ledger.validate"]
end
attrs --> open
open --> establish
establish --> accept
end
style round fill:#f57f17,stroke:#e65100,color:#ffffff
style open fill:#1565c0,stroke:#0d47a1,color:#ffffff
style establish fill:#2e7d32,stroke:#1b5e20,color:#ffffff
style accept fill:#c2185b,stroke:#880e4f,color:#ffffff
```
---
## 1.5 RPC Request Flow
RPC requests support W3C Trace Context headers for distributed tracing across services:
```mermaid
flowchart TB
subgraph request["rpc.request (root span)"]
http["HTTP Request<br/>POST /<br/>traceparent: 00-abc123...-def456...-01"]
attrs["Attributes:<br/>http.method = POST<br/>net.peer.ip = 192.168.1.100<br/>xrpl.rpc.command = submit"]
subgraph enqueue["jobqueue.enqueue"]
job_attr["xrpl.job.type = jtCLIENT_RPC"]
end
subgraph command["rpc.command.submit"]
cmd_attrs["xrpl.rpc.version = 2<br/>xrpl.rpc.role = user"]
cmd_children["├── tx.deserialize<br/>├── tx.validate_local<br/>└── tx.submit_to_network"]
end
response["Response: 200 OK<br/>Duration: 45ms"]
http --> attrs
attrs --> enqueue
enqueue --> command
command --> response
end
style request fill:#2e7d32,stroke:#1b5e20,color:#ffffff
style enqueue fill:#1565c0,stroke:#0d47a1,color:#ffffff
style command fill:#e65100,stroke:#bf360c,color:#ffffff
```
---
## 1.6 Key Trace Points
The following table identifies priority instrumentation points across the codebase:
| Category | Span Name | File | Method | Priority |
| --------------- | ---------------------- | -------------------- | ---------------------- | -------- |
| **Transaction** | `tx.receive` | `PeerImp.cpp` | `handleTransaction()` | High |
| **Transaction** | `tx.validate` | `NetworkOPs.cpp` | `processTransaction()` | High |
| **Transaction** | `tx.process` | `NetworkOPs.cpp` | `doTransactionSync()` | High |
| **Transaction** | `tx.relay` | `OverlayImpl.cpp` | `relay()` | Medium |
| **Consensus** | `consensus.round` | `RCLConsensus.cpp` | `startRound()` | High |
| **Consensus** | `consensus.phase.*` | `Consensus.h` | `timerEntry()` | High |
| **Consensus** | `consensus.proposal.*` | `RCLConsensus.cpp` | `peerProposal()` | Medium |
| **RPC** | `rpc.request` | `ServerHandler.cpp` | `onRequest()` | High |
| **RPC** | `rpc.command.*` | `RPCHandler.cpp` | `doCommand()` | High |
| **Peer** | `peer.connect` | `OverlayImpl.cpp` | `onHandoff()` | Low |
| **Peer** | `peer.message.*` | `PeerImp.cpp` | `onMessage()` | Low |
| **Ledger** | `ledger.acquire` | `InboundLedgers.cpp` | `acquire()` | Medium |
| **Ledger** | `ledger.build` | `RCLConsensus.cpp` | `buildLCL()` | High |
---
## 1.7 Instrumentation Priority
```mermaid
quadrantChart
title Instrumentation Priority Matrix
x-axis Low Complexity --> High Complexity
y-axis Low Value --> High Value
quadrant-1 Implement First
quadrant-2 Plan Carefully
quadrant-3 Quick Wins
quadrant-4 Consider Later
RPC Tracing: [0.3, 0.85]
Transaction Tracing: [0.65, 0.92]
Consensus Tracing: [0.75, 0.87]
Peer Message Tracing: [0.4, 0.3]
Ledger Acquisition: [0.5, 0.6]
JobQueue Tracing: [0.35, 0.5]
```
---
## 1.8 Observable Outcomes
After implementing OpenTelemetry, operators and developers will gain visibility into the following:
### 1.8.1 What You Will See: Traces
| Trace Type | Description | Example Query in Grafana/Tempo |
| -------------------------- | ------------------------------------------------------------------------------------------- | ------------------------------------------------------ |
| **Transaction Lifecycle** | Full journey from RPC submission through validation, relay, consensus, and ledger inclusion | `{service.name="rippled" && xrpl.tx.hash="ABC123..."}` |
| **Cross-Node Propagation** | Transaction path across multiple rippled nodes with timing | `{xrpl.tx.relay_count > 0}` |
| **Consensus Rounds** | Complete round with all phases (open, establish, accept) | `{span.name=~"consensus.round.*"}` |
| **RPC Request Processing** | Individual command execution with timing breakdown | `{xrpl.rpc.command="account_info"}` |
| **Ledger Acquisition** | Peer-to-peer ledger data requests and responses | `{span.name="ledger.acquire"}` |
### 1.8.2 What You Will See: Metrics (Derived from Traces)
| Metric | Description | Dashboard Panel |
| ----------------------------- | -------------------------------------- | --------------------------- |
| **RPC Latency (p50/p95/p99)** | Response time distribution per command | Heatmap by command |
| **Transaction Throughput** | Transactions processed per second | Time series graph |
| **Consensus Round Duration** | Time to complete consensus phases | Histogram |
| **Cross-Node Latency** | Time for transaction to reach N nodes | Line chart with percentiles |
| **Error Rate** | Failed transactions/RPC calls by type | Stacked bar chart |
### 1.8.3 Concrete Dashboard Examples
**Transaction Trace View (Jaeger/Tempo):**
```
┌────────────────────────────────────────────────────────────────────────────────┐
│ Trace: abc123... (Transaction Submission) Duration: 847ms │
├────────────────────────────────────────────────────────────────────────────────┤
│ ├── rpc.request [ServerHandler] ████░░░░░░ 45ms │
│ │ └── rpc.command.submit [RPCHandler] ████░░░░░░ 42ms │
│ │ └── tx.receive [NetworkOPs] ███░░░░░░░ 35ms │
│ │ ├── tx.validate [TxQ] █░░░░░░░░░ 8ms │
│ │ └── tx.relay [Overlay] ██░░░░░░░░ 15ms │
│ │ ├── tx.receive [Node-B] █████░░░░░ 52ms │
│ │ │ └── tx.relay [Node-B] ██░░░░░░░░ 18ms │
│ │ └── tx.receive [Node-C] ██████░░░░ 65ms │
│ └── consensus.round [RCLConsensus] ████████░░ 720ms │
│ ├── consensus.phase.open ██░░░░░░░░ 180ms │
│ ├── consensus.phase.establish █████░░░░░ 480ms │
│ └── consensus.phase.accept █░░░░░░░░░ 60ms │
└────────────────────────────────────────────────────────────────────────────────┘
```
**RPC Performance Dashboard Panel:**
```
┌─────────────────────────────────────────────────────────────┐
│ RPC Command Latency (Last 1 Hour) │
├─────────────────────────────────────────────────────────────┤
│ Command │ p50 │ p95 │ p99 │ Errors │ Rate │
│──────────────────┼────────┼────────┼────────┼────────┼──────│
│ account_info │ 12ms │ 45ms │ 89ms │ 0.1% │ 150/s│
│ submit │ 35ms │ 120ms │ 250ms │ 2.3% │ 45/s│
│ ledger │ 8ms │ 25ms │ 55ms │ 0.0% │ 80/s│
│ tx │ 15ms │ 50ms │ 100ms │ 0.5% │ 60/s│
│ server_info │ 5ms │ 12ms │ 20ms │ 0.0% │ 200/s│
└─────────────────────────────────────────────────────────────┘
```
**Consensus Health Dashboard Panel:**
```mermaid
---
config:
xyChart:
width: 1200
height: 400
plotReservedSpacePercent: 50
chartOrientation: vertical
themeVariables:
xyChart:
plotColorPalette: "#3498db"
---
xychart-beta
title "Consensus Round Duration (Last 24 Hours)"
x-axis "Time of Day (Hours)" [0, 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24]
y-axis "Duration (seconds)" 1 --> 5
line [2.1, 2.3, 2.5, 2.4, 2.8, 1.6, 3.2, 3.0, 3.5, 1.3, 3.8, 3.6, 4.0, 3.2, 4.3, 4.1, 4.5, 4.3, 4.2, 2.4, 4.8, 4.6, 4.9, 4.7, 5.0, 4.9, 4.8, 2.6, 4.7, 4.5, 4.2, 4.0, 2.5, 3.7, 3.2, 3.4, 2.9, 3.1, 2.6, 2.8, 2.3, 1.5, 2.7, 2.4, 2.5, 2.3, 2.2, 2.1, 2.0]
```
### 1.8.4 Operator Actionable Insights
| Scenario | What You'll See | Action |
| --------------------- | ---------------------------------------------------------------------------- | -------------------------------- |
| **Slow RPC** | Span showing which phase is slow (parsing, execution, serialization) | Optimize specific code path |
| **Transaction Stuck** | Trace stops at validation; error attribute shows reason | Fix transaction parameters |
| **Consensus Delay** | Phase.establish taking too long; proposer attribute shows missing validators | Investigate network connectivity |
| **Memory Spike** | Large batch of spans correlating with memory increase | Tune batch_size or sampling |
| **Network Partition** | Traces missing cross-node links for specific peer | Check peer connectivity |
### 1.8.5 Developer Debugging Workflow
1. **Find Transaction**: Query by `xrpl.tx.hash` to get full trace
2. **Identify Bottleneck**: Look at span durations to find slowest component
3. **Check Attributes**: Review `xrpl.tx.validity`, `xrpl.rpc.status` for errors
4. **Correlate Logs**: Use `trace_id` to find related PerfLog entries
5. **Compare Nodes**: Filter by `service.instance.id` to compare behavior across nodes
---
_Next: [Design Decisions](./02-design-decisions.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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# Design Decisions
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Architecture Analysis](./01-architecture-analysis.md) | [Code Samples](./04-code-samples.md)
---
## 2.1 OpenTelemetry Components
### 2.1.1 SDK Selection
**Primary Choice**: OpenTelemetry C++ SDK (`opentelemetry-cpp`)
| Component | Purpose | Required |
| --------------------------------------- | ---------------------- | ----------- |
| `opentelemetry-cpp::api` | Tracing API headers | Yes |
| `opentelemetry-cpp::sdk` | SDK implementation | Yes |
| `opentelemetry-cpp::ext` | Extensions (exporters) | Yes |
| `opentelemetry-cpp::otlp_grpc_exporter` | OTLP/gRPC export | Recommended |
| `opentelemetry-cpp::otlp_http_exporter` | OTLP/HTTP export | Alternative |
### 2.1.2 Instrumentation Strategy
**Manual Instrumentation** (recommended):
| Approach | Pros | Cons |
| ---------- | ----------------------------------------------------------------- | ------------------------------------------------------- |
| **Manual** | Precise control, optimized placement, rippled-specific attributes | More development effort |
| **Auto** | Less code, automatic coverage | Less control, potential overhead, limited customization |
---
## 2.2 Exporter Configuration
```mermaid
flowchart TB
subgraph nodes["rippled Nodes"]
node1["rippled<br/>Node 1"]
node2["rippled<br/>Node 2"]
node3["rippled<br/>Node 3"]
end
collector["OpenTelemetry<br/>Collector<br/>(sidecar or standalone)"]
subgraph backends["Observability Backends"]
jaeger["Jaeger<br/>(Dev)"]
tempo["Tempo<br/>(Prod)"]
elastic["Elastic<br/>APM"]
end
node1 -->|"OTLP/gRPC<br/>:4317"| collector
node2 -->|"OTLP/gRPC<br/>:4317"| collector
node3 -->|"OTLP/gRPC<br/>:4317"| collector
collector --> jaeger
collector --> tempo
collector --> elastic
style nodes fill:#0d47a1,stroke:#082f6a,color:#ffffff
style backends fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style collector fill:#bf360c,stroke:#8c2809,color:#ffffff
```
### 2.2.1 OTLP/gRPC (Recommended)
```cpp
// Configuration for OTLP over gRPC
namespace otlp = opentelemetry::exporter::otlp;
otlp::OtlpGrpcExporterOptions opts;
opts.endpoint = "localhost:4317";
opts.use_ssl_credentials = true;
opts.ssl_credentials_cacert_path = "/path/to/ca.crt";
```
### 2.2.2 OTLP/HTTP (Alternative)
```cpp
// Configuration for OTLP over HTTP
namespace otlp = opentelemetry::exporter::otlp;
otlp::OtlpHttpExporterOptions opts;
opts.url = "http://localhost:4318/v1/traces";
opts.content_type = otlp::HttpRequestContentType::kJson; // or kBinary
```
---
## 2.3 Span Naming Conventions
### 2.3.1 Naming Schema
```
<component>.<operation>[.<sub-operation>]
```
**Examples**:
- `tx.receive` - Transaction received from peer
- `consensus.phase.establish` - Consensus establish phase
- `rpc.command.server_info` - server_info RPC command
### 2.3.2 Complete Span Catalog
```yaml
# Transaction Spans
tx:
receive: "Transaction received from network"
validate: "Transaction signature/format validation"
process: "Full transaction processing"
relay: "Transaction relay to peers"
apply: "Apply transaction to ledger"
# Consensus Spans
consensus:
round: "Complete consensus round"
phase:
open: "Open phase - collecting transactions"
establish: "Establish phase - reaching agreement"
accept: "Accept phase - applying consensus"
proposal:
receive: "Receive peer proposal"
send: "Send our proposal"
validation:
receive: "Receive peer validation"
send: "Send our validation"
# RPC Spans
rpc:
request: "HTTP/WebSocket request handling"
command:
"*": "Specific RPC command (dynamic)"
# Peer Spans
peer:
connect: "Peer connection establishment"
disconnect: "Peer disconnection"
message:
send: "Send protocol message"
receive: "Receive protocol message"
# Ledger Spans
ledger:
acquire: "Ledger acquisition from network"
build: "Build new ledger"
validate: "Ledger validation"
close: "Close ledger"
# Job Spans
job:
enqueue: "Job added to queue"
execute: "Job execution"
```
---
## 2.4 Attribute Schema
### 2.4.1 Resource Attributes (Set Once at Startup)
```cpp
// Standard OpenTelemetry semantic conventions
resource::SemanticConventions::SERVICE_NAME = "rippled"
resource::SemanticConventions::SERVICE_VERSION = BuildInfo::getVersionString()
resource::SemanticConventions::SERVICE_INSTANCE_ID = <node_public_key_base58>
// Custom rippled attributes
"xrpl.network.id" = <network_id> // e.g., 0 for mainnet
"xrpl.network.type" = "mainnet" | "testnet" | "devnet" | "standalone"
"xrpl.node.type" = "validator" | "stock" | "reporting"
"xrpl.node.cluster" = <cluster_name> // If clustered
```
### 2.4.2 Span Attributes by Category
#### Transaction Attributes
```cpp
"xrpl.tx.hash" = string // Transaction hash (hex)
"xrpl.tx.type" = string // "Payment", "OfferCreate", etc.
"xrpl.tx.account" = string // Source account (redacted in prod)
"xrpl.tx.sequence" = int64 // Account sequence number
"xrpl.tx.fee" = int64 // Fee in drops
"xrpl.tx.result" = string // "tesSUCCESS", "tecPATH_DRY", etc.
"xrpl.tx.ledger_index" = int64 // Ledger containing transaction
```
#### Consensus Attributes
```cpp
"xrpl.consensus.round" = int64 // Round number
"xrpl.consensus.phase" = string // "open", "establish", "accept"
"xrpl.consensus.mode" = string // "proposing", "observing", etc.
"xrpl.consensus.proposers" = int64 // Number of proposers
"xrpl.consensus.ledger.prev" = string // Previous ledger hash
"xrpl.consensus.ledger.seq" = int64 // Ledger sequence
"xrpl.consensus.tx_count" = int64 // Transactions in consensus set
"xrpl.consensus.duration_ms" = float64 // Round duration
```
#### RPC Attributes
```cpp
"xrpl.rpc.command" = string // Command name
"xrpl.rpc.version" = int64 // API version
"xrpl.rpc.role" = string // "admin" or "user"
"xrpl.rpc.params" = string // Sanitized parameters (optional)
```
#### Peer & Message Attributes
```cpp
"xrpl.peer.id" = string // Peer public key (base58)
"xrpl.peer.address" = string // IP:port
"xrpl.peer.latency_ms" = float64 // Measured latency
"xrpl.peer.cluster" = string // Cluster name if clustered
"xrpl.message.type" = string // Protocol message type name
"xrpl.message.size_bytes" = int64 // Message size
"xrpl.message.compressed" = bool // Whether compressed
```
#### Ledger & Job Attributes
```cpp
"xrpl.ledger.hash" = string // Ledger hash
"xrpl.ledger.index" = int64 // Ledger sequence/index
"xrpl.ledger.close_time" = int64 // Close time (epoch)
"xrpl.ledger.tx_count" = int64 // Transaction count
"xrpl.job.type" = string // Job type name
"xrpl.job.queue_ms" = float64 // Time spent in queue
"xrpl.job.worker" = int64 // Worker thread ID
```
### 2.4.3 Data Collection Summary
The following table summarizes what data is collected by category:
| Category | Attributes Collected | Purpose |
| --------------- | -------------------------------------------------------------------- | --------------------------- |
| **Transaction** | `tx.hash`, `tx.type`, `tx.result`, `tx.fee`, `ledger_index` | Trace transaction lifecycle |
| **Consensus** | `round`, `phase`, `mode`, `proposers` (public keys), `duration_ms` | Analyze consensus timing |
| **RPC** | `command`, `version`, `status`, `duration_ms` | Monitor RPC performance |
| **Peer** | `peer.id` (public key), `latency_ms`, `message.type`, `message.size` | Network topology analysis |
| **Ledger** | `ledger.hash`, `ledger.index`, `close_time`, `tx_count` | Ledger progression tracking |
| **Job** | `job.type`, `queue_ms`, `worker` | JobQueue performance |
### 2.4.4 Privacy & Sensitive Data Policy
OpenTelemetry instrumentation is designed to collect **operational metadata only**, never sensitive content.
#### Data NOT Collected
The following data is explicitly **excluded** from telemetry collection:
| Excluded Data | Reason |
| ----------------------- | ----------------------------------------- |
| **Private Keys** | Never exposed; not relevant to tracing |
| **Account Balances** | Financial data; privacy sensitive |
| **Transaction Amounts** | Financial data; privacy sensitive |
| **Raw TX Payloads** | May contain sensitive memo/data fields |
| **Personal Data** | No PII collected |
| **IP Addresses** | Configurable; excluded by default in prod |
#### Privacy Protection Mechanisms
| Mechanism | Description |
| ----------------------------- | ------------------------------------------------------------------------- |
| **Account Hashing** | `xrpl.tx.account` is hashed at collector level before storage |
| **Configurable Redaction** | Sensitive fields can be excluded via `[telemetry]` config section |
| **Sampling** | Only 10% of traces recorded by default, reducing data exposure |
| **Local Control** | Node operators have full control over what gets exported |
| **No Raw Payloads** | Transaction content is never recorded, only metadata (hash, type, result) |
| **Collector-Level Filtering** | Additional redaction/hashing can be configured at OTel Collector |
#### Collector-Level Data Protection
The OpenTelemetry Collector can be configured to hash or redact sensitive attributes before export:
```yaml
processors:
attributes:
actions:
# Hash account addresses before storage
- key: xrpl.tx.account
action: hash
# Remove IP addresses entirely
- key: xrpl.peer.address
action: delete
# Redact specific fields
- key: xrpl.rpc.params
action: delete
```
#### Configuration Options for Privacy
In `rippled.cfg`, operators can control data collection granularity:
```ini
[telemetry]
enabled=1
# Disable collection of specific components
trace_transactions=1
trace_consensus=1
trace_rpc=1
trace_peer=0 # Disable peer tracing (high volume, includes addresses)
# Redact specific attributes
redact_account=1 # Hash account addresses before export
redact_peer_address=1 # Remove peer IP addresses
```
> **Key Principle**: Telemetry collects **operational metadata** (timing, counts, hashes) — never **sensitive content** (keys, balances, amounts, raw payloads).
---
## 2.5 Context Propagation Design
### 2.5.1 Propagation Boundaries
```mermaid
flowchart TB
subgraph http["HTTP/WebSocket (RPC)"]
w3c["W3C Trace Context Headers:<br/>traceparent: 00-{trace_id}-{span_id}-{flags}<br/>tracestate: rippled=<state>"]
end
subgraph protobuf["Protocol Buffers (P2P)"]
proto["message TraceContext {<br/> bytes trace_id = 1; // 16 bytes<br/> bytes span_id = 2; // 8 bytes<br/> uint32 trace_flags = 3;<br/> string trace_state = 4;<br/>}"]
end
subgraph jobqueue["JobQueue (Internal Async)"]
job["Context captured at job creation,<br/>restored at execution<br/><br/>class Job {<br/> opentelemetry::context::Context traceContext_;<br/>};"]
end
style http fill:#0d47a1,stroke:#082f6a,color:#ffffff
style protobuf fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style jobqueue fill:#bf360c,stroke:#8c2809,color:#ffffff
```
---
## 2.6 Integration with Existing Observability
### 2.6.1 Existing Frameworks Comparison
rippled already has two observability mechanisms. OpenTelemetry complements (not replaces) them:
| Aspect | PerfLog | Beast Insight (StatsD) | OpenTelemetry |
| --------------------- | ----------------------------- | ---------------------------- | ------------------------- |
| **Type** | Logging | Metrics | Distributed Tracing |
| **Data** | JSON log entries | Counters, gauges, histograms | Spans with context |
| **Scope** | Single node | Single node | **Cross-node** |
| **Output** | `perf.log` file | StatsD server | OTLP Collector |
| **Question answered** | "What happened on this node?" | "How many? How fast?" | "What was the journey?" |
| **Correlation** | By timestamp | By metric name | By `trace_id` |
| **Overhead** | Low (file I/O) | Low (UDP packets) | Low-Medium (configurable) |
### 2.6.2 What Each Framework Does Best
#### PerfLog
- **Purpose**: Detailed local event logging for RPC and job execution
- **Strengths**:
- Rich JSON output with timing data
- Already integrated in RPC handlers
- File-based, no external dependencies
- **Limitations**:
- Single-node only (no cross-node correlation)
- No parent-child relationships between events
- Manual log parsing required
```json
// Example PerfLog entry
{
"time": "2024-01-15T10:30:00.123Z",
"method": "submit",
"duration_us": 1523,
"result": "tesSUCCESS"
}
```
#### Beast Insight (StatsD)
- **Purpose**: Real-time metrics for monitoring dashboards
- **Strengths**:
- Aggregated metrics (counters, gauges, histograms)
- Low overhead (UDP, fire-and-forget)
- Good for alerting thresholds
- **Limitations**:
- No request-level detail
- No causal relationships
- Single-node perspective
```cpp
// Example StatsD usage in rippled
insight.increment("rpc.submit.count");
insight.gauge("ledger.age", age);
insight.timing("consensus.round", duration);
```
#### OpenTelemetry (NEW)
- **Purpose**: Distributed request tracing across nodes
- **Strengths**:
- **Cross-node correlation** via `trace_id`
- Parent-child span relationships
- Rich attributes per span
- Industry standard (CNCF)
- **Limitations**:
- Requires collector infrastructure
- Higher complexity than logging
```cpp
// Example OpenTelemetry span
auto span = telemetry.startSpan("tx.relay");
span->SetAttribute("tx.hash", hash);
span->SetAttribute("peer.id", peerId);
// Span automatically linked to parent via context
```
### 2.6.3 When to Use Each
| Scenario | PerfLog | StatsD | OpenTelemetry |
| --------------------------------------- | ---------- | ------ | ------------- |
| "How many TXs per second?" | ❌ | ✅ | ❌ |
| "What's the p99 RPC latency?" | ❌ | ✅ | ✅ |
| "Why was this specific TX slow?" | ⚠️ partial | ❌ | ✅ |
| "Which node delayed consensus?" | ❌ | ❌ | ✅ |
| "What happened on node X at time T?" | ✅ | ❌ | ✅ |
| "Show me the TX journey across 5 nodes" | ❌ | ❌ | ✅ |
### 2.6.4 Coexistence Strategy
> **Note**: Phase 7 replaces the StatsD bridge with native OTel Metrics SDK export. The diagram below shows the Phase 6 intermediate state. See [Phase7_taskList.md](./Phase7_taskList.md) for the migration design where Beast Insight emits via OTLP instead of StatsD.
```mermaid
flowchart TB
subgraph rippled["rippled Process"]
perflog["PerfLog<br/>(JSON to file)"]
insight["Beast Insight<br/>(StatsD)"]
otel["OpenTelemetry<br/>(Tracing)"]
end
perflog --> perffile["perf.log"]
insight --> statsd["StatsD Server"]
otel --> collector["OTLP Collector"]
perffile --> grafana["Grafana<br/>(Unified UI)"]
statsd --> grafana
collector --> grafana
style rippled fill:#212121,stroke:#0a0a0a,color:#ffffff
style grafana fill:#bf360c,stroke:#8c2809,color:#ffffff
```
**Phase 7 target state**: Beast Insight routes to `OTelCollector` (new `Collector` implementation) which exports via OTLP/HTTP to the same collector endpoint as traces. StatsD UDP path becomes a deprecated fallback (`[insight] server=statsd`). See [06-implementation-phases.md §6.8](./06-implementation-phases.md) and [Phase7_taskList.md](./Phase7_taskList.md) for details.
### 2.6.5 Correlation with PerfLog
Trace IDs can be correlated with existing PerfLog entries for comprehensive debugging:
```cpp
// In RPCHandler.cpp - correlate trace with PerfLog
Status doCommand(RPC::JsonContext& context, Json::Value& result)
{
// Start OpenTelemetry span
auto span = context.app.getTelemetry().startSpan(
"rpc.command." + context.method);
// Get trace ID for correlation
auto traceId = span->GetContext().trace_id().IsValid()
? toHex(span->GetContext().trace_id())
: "";
// Use existing PerfLog with trace correlation
auto const curId = context.app.getPerfLog().currentId();
context.app.getPerfLog().rpcStart(context.method, curId);
// Future: Add trace ID to PerfLog entry
// context.app.getPerfLog().setTraceId(curId, traceId);
try {
auto ret = handler(context, result);
context.app.getPerfLog().rpcFinish(context.method, curId);
span->SetStatus(opentelemetry::trace::StatusCode::kOk);
return ret;
} catch (std::exception const& e) {
context.app.getPerfLog().rpcError(context.method, curId);
span->RecordException(e);
span->SetStatus(opentelemetry::trace::StatusCode::kError, e.what());
throw;
}
}
```
---
_Previous: [Architecture Analysis](./01-architecture-analysis.md)_ | _Next: [Implementation Strategy](./03-implementation-strategy.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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# Implementation Strategy
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Code Samples](./04-code-samples.md) | [Configuration Reference](./05-configuration-reference.md)
---
## 3.1 Directory Structure
The telemetry implementation follows rippled's existing code organization pattern:
```
include/xrpl/
├── telemetry/
│ ├── Telemetry.h # Main telemetry interface
│ ├── TelemetryConfig.h # Configuration structures
│ ├── TraceContext.h # Context propagation utilities
│ ├── SpanGuard.h # RAII span management
│ └── SpanAttributes.h # Attribute helper functions
src/libxrpl/
├── telemetry/
│ ├── Telemetry.cpp # Implementation
│ ├── TelemetryConfig.cpp # Config parsing
│ ├── TraceContext.cpp # Context serialization
│ └── NullTelemetry.cpp # No-op implementation
src/xrpld/
├── telemetry/
│ ├── TracingInstrumentation.h # Instrumentation macros
│ └── TracingInstrumentation.cpp
```
---
## 3.2 Implementation Approach
<div align="center">
```mermaid
%%{init: {'flowchart': {'nodeSpacing': 20, 'rankSpacing': 30}}}%%
flowchart TB
subgraph phase1["Phase 1: Core"]
direction LR
sdk["SDK Integration"] ~~~ interface["Telemetry Interface"] ~~~ config["Configuration"]
end
subgraph phase2["Phase 2: RPC"]
direction LR
http["HTTP Context"] ~~~ rpc["RPC Handlers"]
end
subgraph phase3["Phase 3: P2P"]
direction LR
proto["Protobuf Context"] ~~~ tx["Transaction Relay"]
end
subgraph phase4["Phase 4: Consensus"]
direction LR
consensus["Consensus Rounds"] ~~~ proposals["Proposals"]
end
phase1 --> phase2 --> phase3 --> phase4
style phase1 fill:#1565c0,stroke:#0d47a1,color:#ffffff
style phase2 fill:#2e7d32,stroke:#1b5e20,color:#ffffff
style phase3 fill:#e65100,stroke:#bf360c,color:#ffffff
style phase4 fill:#c2185b,stroke:#880e4f,color:#ffffff
```
</div>
### Key Principles
1. **Minimal Intrusion**: Instrumentation should not alter existing control flow
2. **Zero-Cost When Disabled**: Use compile-time flags and no-op implementations
3. **Backward Compatibility**: Protocol Buffer extensions use high field numbers
4. **Graceful Degradation**: Tracing failures must not affect node operation
---
## 3.3 Performance Overhead Summary
| Metric | Overhead | Notes |
| ------------- | ---------- | ----------------------------------- |
| CPU | 1-3% | Span creation and attribute setting |
| Memory | 2-5 MB | Batch buffer for pending spans |
| Network | 10-50 KB/s | Compressed OTLP export to collector |
| Latency (p99) | <2% | With proper sampling configuration |
---
## 3.4 Detailed CPU Overhead Analysis
### 3.4.1 Per-Operation Costs
| Operation | Time (ns) | Frequency | Impact |
| --------------------- | --------- | ---------------------- | ---------- |
| Span creation | 200-500 | Every traced operation | Low |
| Span end | 100-200 | Every traced operation | Low |
| SetAttribute (string) | 80-120 | 3-5 per span | Low |
| SetAttribute (int) | 40-60 | 2-3 per span | Negligible |
| AddEvent | 50-80 | 0-2 per span | Negligible |
| Context injection | 150-250 | Per outgoing message | Low |
| Context extraction | 100-180 | Per incoming message | Low |
| GetCurrent context | 10-20 | Thread-local access | Negligible |
### 3.4.2 Transaction Processing Overhead
<div align="center">
```mermaid
%%{init: {'pie': {'textPosition': 0.75}}}%%
pie showData
"tx.receive (800ns)" : 800
"tx.validate (500ns)" : 500
"tx.relay (500ns)" : 500
"Context inject (600ns)" : 600
```
**Transaction Tracing Overhead (~2.4μs total)**
</div>
**Overhead percentage**: 2.4 μs / 200 μs (avg tx processing) = **~1.2%**
### 3.4.3 Consensus Round Overhead
| Operation | Count | Cost (ns) | Total |
| ---------------------- | ----- | --------- | ---------- |
| consensus.round span | 1 | ~1000 | ~1 μs |
| consensus.phase spans | 3 | ~700 | ~2.1 μs |
| proposal.receive spans | ~20 | ~600 | ~12 μs |
| proposal.send spans | ~3 | ~600 | ~1.8 μs |
| Context operations | ~30 | ~200 | ~6 μs |
| **TOTAL** | | | **~23 μs** |
**Overhead percentage**: 23 μs / 3s (typical round) = **~0.0008%** (negligible)
### 3.4.4 RPC Request Overhead
| Operation | Cost (ns) |
| ---------------- | ------------ |
| rpc.request span | ~700 |
| rpc.command span | ~600 |
| Context extract | ~250 |
| Context inject | ~200 |
| **TOTAL** | **~1.75 μs** |
- Fast RPC (1ms): 1.75 μs / 1ms = **~0.175%**
- Slow RPC (100ms): 1.75 μs / 100ms = **~0.002%**
---
## 3.5 Memory Overhead Analysis
### 3.5.1 Static Memory
| Component | Size | Allocated |
| ------------------------ | ----------- | ---------- |
| TracerProvider singleton | ~64 KB | At startup |
| BatchSpanProcessor | ~128 KB | At startup |
| OTLP exporter | ~256 KB | At startup |
| Propagator registry | ~8 KB | At startup |
| **Total static** | **~456 KB** | |
### 3.5.2 Dynamic Memory
| Component | Size per unit | Max units | Peak |
| -------------------- | ------------- | ---------- | ----------- |
| Active span | ~200 bytes | 1000 | ~200 KB |
| Queued span (export) | ~500 bytes | 2048 | ~1 MB |
| Attribute storage | ~50 bytes | 5 per span | Included |
| Context storage | ~64 bytes | Per thread | ~6.4 KB |
| **Total dynamic** | | | **~1.2 MB** |
### 3.5.3 Memory Growth Characteristics
```mermaid
---
config:
xyChart:
width: 700
height: 400
---
xychart-beta
title "Memory Usage vs Span Rate"
x-axis "Spans/second" [0, 200, 400, 600, 800, 1000]
y-axis "Memory (MB)" 0 --> 6
line [1, 1.8, 2.6, 3.4, 4.2, 5]
```
**Notes**:
- Memory increases linearly with span rate
- Batch export prevents unbounded growth
- Queue size is configurable (default 2048 spans)
- At queue limit, oldest spans are dropped (not blocked)
---
## 3.6 Network Overhead Analysis
### 3.6.1 Export Bandwidth
| Sampling Rate | Spans/sec | Bandwidth | Notes |
| ------------- | --------- | --------- | ---------------- |
| 100% | ~500 | ~250 KB/s | Development only |
| 10% | ~50 | ~25 KB/s | Staging |
| 1% | ~5 | ~2.5 KB/s | Production |
| Error-only | ~1 | ~0.5 KB/s | Minimal overhead |
### 3.6.2 Trace Context Propagation
| Message Type | Context Size | Messages/sec | Overhead |
| ---------------------- | ------------ | ------------ | ----------- |
| TMTransaction | 32 bytes | ~100 | ~3.2 KB/s |
| TMProposeSet | 32 bytes | ~10 | ~320 B/s |
| TMValidation | 32 bytes | ~50 | ~1.6 KB/s |
| **Total P2P overhead** | | | **~5 KB/s** |
---
## 3.7 Optimization Strategies
### 3.7.1 Sampling Strategies
```mermaid
flowchart TD
trace["New Trace"]
trace --> errors{"Is Error?"}
errors -->|Yes| sample["SAMPLE"]
errors -->|No| consensus{"Is Consensus?"}
consensus -->|Yes| sample
consensus -->|No| slow{"Is Slow?"}
slow -->|Yes| sample
slow -->|No| prob{"Random < 10%?"}
prob -->|Yes| sample
prob -->|No| drop["DROP"]
style sample fill:#4caf50,stroke:#388e3c,color:#fff
style drop fill:#f44336,stroke:#c62828,color:#fff
```
### 3.7.2 Batch Tuning Recommendations
| Environment | Batch Size | Batch Delay | Max Queue |
| ------------------ | ---------- | ----------- | --------- |
| Low-latency | 128 | 1000ms | 512 |
| High-throughput | 1024 | 10000ms | 8192 |
| Memory-constrained | 256 | 2000ms | 512 |
### 3.7.3 Conditional Instrumentation
```cpp
// Compile-time feature flag
#ifndef XRPL_ENABLE_TELEMETRY
// Zero-cost when disabled
#define XRPL_TRACE_SPAN(t, n) ((void)0)
#endif
// Runtime component filtering
if (telemetry.shouldTracePeer())
{
XRPL_TRACE_SPAN(telemetry, "peer.message.receive");
// ... instrumentation
}
// No overhead when component tracing disabled
```
---
## 3.8 Links to Detailed Documentation
- **[Code Samples](./04-code-samples.md)**: Complete implementation code for all components
- **[Configuration Reference](./05-configuration-reference.md)**: Configuration options and collector setup
- **[Implementation Phases](./06-implementation-phases.md)**: Detailed timeline and milestones
---
## 3.9 Code Intrusiveness Assessment
This section provides a detailed assessment of how intrusive the OpenTelemetry integration is to the existing rippled codebase.
### 3.9.1 Files Modified Summary
| Component | Files Modified | Lines Added | Lines Changed | Architectural Impact |
| --------------------- | -------------- | ----------- | ------------- | -------------------- |
| **Core Telemetry** | 5 new files | ~800 | 0 | None (new module) |
| **Application Init** | 2 files | ~30 | ~5 | Minimal |
| **RPC Layer** | 3 files | ~80 | ~20 | Minimal |
| **Transaction Relay** | 4 files | ~120 | ~40 | Low |
| **Consensus** | 3 files | ~100 | ~30 | Low-Medium |
| **Protocol Buffers** | 1 file | ~25 | 0 | Low |
| **CMake/Build** | 3 files | ~50 | ~10 | Minimal |
| **Total** | **~21 files** | **~1,205** | **~105** | **Low** |
### 3.9.2 Detailed File Impact
```mermaid
pie title Code Changes by Component
"New Telemetry Module" : 800
"Transaction Relay" : 160
"Consensus" : 130
"RPC Layer" : 100
"Application Init" : 35
"Protocol Buffers" : 25
"Build System" : 60
```
#### New Files (No Impact on Existing Code)
| File | Lines | Purpose |
| ---------------------------------------------- | ----- | -------------------- |
| `include/xrpl/telemetry/Telemetry.h` | ~160 | Main interface |
| `include/xrpl/telemetry/SpanGuard.h` | ~120 | RAII wrapper |
| `include/xrpl/telemetry/TraceContext.h` | ~80 | Context propagation |
| `src/xrpld/telemetry/TracingInstrumentation.h` | ~60 | Macros |
| `src/libxrpl/telemetry/Telemetry.cpp` | ~200 | Implementation |
| `src/libxrpl/telemetry/TelemetryConfig.cpp` | ~60 | Config parsing |
| `src/libxrpl/telemetry/NullTelemetry.cpp` | ~40 | No-op implementation |
#### Modified Files (Existing Rippled Code)
| File | Lines Added | Lines Changed | Risk Level |
| ------------------------------------------------- | ----------- | ------------- | ---------- |
| `src/xrpld/app/main/Application.cpp` | ~15 | ~3 | Low |
| `include/xrpl/app/main/Application.h` | ~5 | ~2 | Low |
| `src/xrpld/rpc/detail/ServerHandler.cpp` | ~40 | ~10 | Low |
| `src/xrpld/rpc/handlers/*.cpp` | ~30 | ~8 | Low |
| `src/xrpld/overlay/detail/PeerImp.cpp` | ~60 | ~15 | Medium |
| `src/xrpld/overlay/detail/OverlayImpl.cpp` | ~30 | ~10 | Medium |
| `src/xrpld/app/consensus/RCLConsensus.cpp` | ~50 | ~15 | Medium |
| `src/xrpld/app/consensus/RCLConsensusAdaptor.cpp` | ~40 | ~12 | Medium |
| `src/xrpld/core/JobQueue.cpp` | ~20 | ~5 | Low |
| `src/xrpld/overlay/detail/ripple.proto` | ~25 | 0 | Low |
| `CMakeLists.txt` | ~40 | ~8 | Low |
| `cmake/FindOpenTelemetry.cmake` | ~50 | 0 | None (new) |
### 3.9.3 Risk Assessment by Component
<div align="center">
**Do First** ↖ ↗ **Plan Carefully**
```mermaid
quadrantChart
title Code Intrusiveness Risk Matrix
x-axis Low Risk --> High Risk
y-axis Low Value --> High Value
RPC Tracing: [0.2, 0.8]
Transaction Relay: [0.5, 0.9]
Consensus Tracing: [0.7, 0.95]
Peer Message Tracing: [0.8, 0.4]
JobQueue Context: [0.4, 0.5]
Ledger Acquisition: [0.5, 0.6]
```
**Optional** ↙ ↘ **Avoid**
</div>
#### Risk Level Definitions
| Risk Level | Definition | Mitigation |
| ---------- | ---------------------------------------------------------------- | ---------------------------------- |
| **Low** | Additive changes only; no modification to existing logic | Standard code review |
| **Medium** | Minor modifications to existing functions; clear boundaries | Comprehensive unit tests |
| **High** | Changes to core logic or data structures; potential side effects | Integration tests + staged rollout |
### 3.9.4 Architectural Impact Assessment
| Aspect | Impact | Justification |
| -------------------- | ------- | --------------------------------------------------------------------- |
| **Data Flow** | None | Tracing is purely observational; no business logic changes |
| **Threading Model** | Minimal | Context propagation uses thread-local storage (standard OTel pattern) |
| **Memory Model** | Low | Bounded queues prevent unbounded growth; RAII ensures cleanup |
| **Network Protocol** | Low | Optional fields in protobuf (high field numbers); backward compatible |
| **Configuration** | None | New config section; existing configs unaffected |
| **Build System** | Low | Optional CMake flag; builds work without OpenTelemetry |
| **Dependencies** | Low | OpenTelemetry SDK is optional; null implementation when disabled |
### 3.9.5 Backward Compatibility
| Compatibility | Status | Notes |
| --------------- | ------- | ----------------------------------------------------- |
| **Config File** | ✅ Full | New `[telemetry]` section is optional |
| **Protocol** | ✅ Full | Optional protobuf fields with high field numbers |
| **Build** | ✅ Full | `XRPL_ENABLE_TELEMETRY=OFF` produces identical binary |
| **Runtime** | ✅ Full | `enabled=0` produces zero overhead |
| **API** | ✅ Full | No changes to public RPC or P2P APIs |
### 3.9.6 Rollback Strategy
If issues are discovered after deployment:
1. **Immediate**: Set `enabled=0` in config and restart (zero code change)
2. **Quick**: Rebuild with `XRPL_ENABLE_TELEMETRY=OFF`
3. **Complete**: Revert telemetry commits (clean separation makes this easy)
### 3.9.7 Code Change Examples
**Minimal RPC Instrumentation (Low Intrusiveness):**
```cpp
// Before
void ServerHandler::onRequest(...) {
auto result = processRequest(req);
send(result);
}
// After (only ~10 lines added)
void ServerHandler::onRequest(...) {
XRPL_TRACE_RPC(app_.getTelemetry(), "rpc.request"); // +1 line
XRPL_TRACE_SET_ATTR("xrpl.rpc.command", command); // +1 line
auto result = processRequest(req);
XRPL_TRACE_SET_ATTR("xrpl.rpc.status", status); // +1 line
send(result);
}
```
**Consensus Instrumentation (Medium Intrusiveness):**
```cpp
// Before
void RCLConsensusAdaptor::startRound(...) {
// ... existing logic
}
// After (context storage required)
void RCLConsensusAdaptor::startRound(...) {
XRPL_TRACE_CONSENSUS(app_.getTelemetry(), "consensus.round");
XRPL_TRACE_SET_ATTR("xrpl.consensus.ledger.seq", seq);
// Store context for child spans in phase transitions
currentRoundContext_ = _xrpl_guard_->context(); // New member variable
// ... existing logic unchanged
}
```
---
_Previous: [Design Decisions](./02-design-decisions.md)_ | _Next: [Code Samples](./04-code-samples.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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@@ -0,0 +1,982 @@
# Code Samples
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Implementation Strategy](./03-implementation-strategy.md) | [Configuration Reference](./05-configuration-reference.md)
---
## 4.1 Core Interfaces
### 4.1.1 Main Telemetry Interface
```cpp
// include/xrpl/telemetry/Telemetry.h
#pragma once
#include <xrpl/telemetry/TelemetryConfig.h>
#include <opentelemetry/trace/tracer.h>
#include <opentelemetry/trace/span.h>
#include <opentelemetry/context/context.h>
#include <memory>
#include <string>
#include <string_view>
namespace xrpl {
namespace telemetry {
/**
* Main telemetry interface for OpenTelemetry integration.
*
* This class provides the primary API for distributed tracing in rippled.
* It manages the OpenTelemetry SDK lifecycle and provides convenience
* methods for creating spans and propagating context.
*/
class Telemetry
{
public:
/**
* Configuration for the telemetry system.
*/
struct Setup
{
bool enabled = false;
std::string serviceName = "rippled";
std::string serviceVersion;
std::string serviceInstanceId; // Node public key
// Exporter configuration
std::string exporterType = "otlp_grpc"; // "otlp_grpc", "otlp_http", "none"
std::string exporterEndpoint = "localhost:4317";
bool useTls = false;
std::string tlsCertPath;
// Sampling configuration
double samplingRatio = 1.0; // 1.0 = 100% sampling
// Batch processor settings
std::uint32_t batchSize = 512;
std::chrono::milliseconds batchDelay{5000};
std::uint32_t maxQueueSize = 2048;
// Network attributes
std::uint32_t networkId = 0;
std::string networkType = "mainnet";
// Component filtering
bool traceTransactions = true;
bool traceConsensus = true;
bool traceRpc = true;
bool tracePeer = false; // High volume, disabled by default
bool traceLedger = true;
};
virtual ~Telemetry() = default;
// ═══════════════════════════════════════════════════════════════════════
// LIFECYCLE
// ═══════════════════════════════════════════════════════════════════════
/** Start the telemetry system (call after configuration) */
virtual void start() = 0;
/** Stop the telemetry system (flushes pending spans) */
virtual void stop() = 0;
/** Check if telemetry is enabled */
virtual bool isEnabled() const = 0;
// ═══════════════════════════════════════════════════════════════════════
// TRACER ACCESS
// ═══════════════════════════════════════════════════════════════════════
/** Get the tracer for creating spans */
virtual opentelemetry::nostd::shared_ptr<opentelemetry::trace::Tracer>
getTracer(std::string_view name = "rippled") = 0;
// ═══════════════════════════════════════════════════════════════════════
// SPAN CREATION (Convenience Methods)
// ═══════════════════════════════════════════════════════════════════════
/** Start a new span with default options */
virtual opentelemetry::nostd::shared_ptr<opentelemetry::trace::Span>
startSpan(
std::string_view name,
opentelemetry::trace::SpanKind kind =
opentelemetry::trace::SpanKind::kInternal) = 0;
/** Start a span as child of given context */
virtual opentelemetry::nostd::shared_ptr<opentelemetry::trace::Span>
startSpan(
std::string_view name,
opentelemetry::context::Context const& parentContext,
opentelemetry::trace::SpanKind kind =
opentelemetry::trace::SpanKind::kInternal) = 0;
// ═══════════════════════════════════════════════════════════════════════
// CONTEXT PROPAGATION
// ═══════════════════════════════════════════════════════════════════════
/** Serialize context for network transmission */
virtual std::string serializeContext(
opentelemetry::context::Context const& ctx) = 0;
/** Deserialize context from network data */
virtual opentelemetry::context::Context deserializeContext(
std::string const& serialized) = 0;
// ═══════════════════════════════════════════════════════════════════════
// COMPONENT FILTERING
// ═══════════════════════════════════════════════════════════════════════
/** Check if transaction tracing is enabled */
virtual bool shouldTraceTransactions() const = 0;
/** Check if consensus tracing is enabled */
virtual bool shouldTraceConsensus() const = 0;
/** Check if RPC tracing is enabled */
virtual bool shouldTraceRpc() const = 0;
/** Check if peer message tracing is enabled */
virtual bool shouldTracePeer() const = 0;
};
// Factory functions
std::unique_ptr<Telemetry>
make_Telemetry(
Telemetry::Setup const& setup,
beast::Journal journal);
Telemetry::Setup
setup_Telemetry(
Section const& section,
std::string const& nodePublicKey,
std::string const& version);
} // namespace telemetry
} // namespace xrpl
```
---
## 4.2 RAII Span Guard
```cpp
// include/xrpl/telemetry/SpanGuard.h
#pragma once
#include <opentelemetry/trace/span.h>
#include <opentelemetry/trace/scope.h>
#include <opentelemetry/trace/status.h>
#include <string_view>
#include <exception>
namespace xrpl {
namespace telemetry {
/**
* RAII guard for OpenTelemetry spans.
*
* Automatically ends the span on destruction and makes it the current
* span in the thread-local context.
*/
class SpanGuard
{
opentelemetry::nostd::shared_ptr<opentelemetry::trace::Span> span_;
opentelemetry::trace::Scope scope_;
public:
/**
* Construct guard with span.
* The span becomes the current span in thread-local context.
*/
explicit SpanGuard(
opentelemetry::nostd::shared_ptr<opentelemetry::trace::Span> span)
: span_(std::move(span))
, scope_(span_)
{
}
// Non-copyable, non-movable
SpanGuard(SpanGuard const&) = delete;
SpanGuard& operator=(SpanGuard const&) = delete;
SpanGuard(SpanGuard&&) = delete;
SpanGuard& operator=(SpanGuard&&) = delete;
~SpanGuard()
{
if (span_)
span_->End();
}
/** Access the underlying span */
opentelemetry::trace::Span& span() { return *span_; }
opentelemetry::trace::Span const& span() const { return *span_; }
/** Set span status to OK */
void setOk()
{
span_->SetStatus(opentelemetry::trace::StatusCode::kOk);
}
/** Set span status with code and description */
void setStatus(
opentelemetry::trace::StatusCode code,
std::string_view description = "")
{
span_->SetStatus(code, std::string(description));
}
/** Set an attribute on the span */
template<typename T>
void setAttribute(std::string_view key, T&& value)
{
span_->SetAttribute(
opentelemetry::nostd::string_view(key.data(), key.size()),
std::forward<T>(value));
}
/** Add an event to the span */
void addEvent(std::string_view name)
{
span_->AddEvent(std::string(name));
}
/** Record an exception on the span */
void recordException(std::exception const& e)
{
span_->RecordException(e);
span_->SetStatus(
opentelemetry::trace::StatusCode::kError,
e.what());
}
/** Get the current trace context */
opentelemetry::context::Context context() const
{
return opentelemetry::context::RuntimeContext::GetCurrent();
}
};
/**
* No-op span guard for when tracing is disabled.
* Provides the same interface but does nothing.
*/
class NullSpanGuard
{
public:
NullSpanGuard() = default;
void setOk() {}
void setStatus(opentelemetry::trace::StatusCode, std::string_view = "") {}
template<typename T>
void setAttribute(std::string_view, T&&) {}
void addEvent(std::string_view) {}
void recordException(std::exception const&) {}
};
} // namespace telemetry
} // namespace xrpl
```
---
## 4.3 Instrumentation Macros
```cpp
// src/xrpld/telemetry/TracingInstrumentation.h
#pragma once
#include <xrpl/telemetry/Telemetry.h>
#include <xrpl/telemetry/SpanGuard.h>
namespace xrpl {
namespace telemetry {
// ═══════════════════════════════════════════════════════════════════════════
// INSTRUMENTATION MACROS
// ═══════════════════════════════════════════════════════════════════════════
#ifdef XRPL_ENABLE_TELEMETRY
// Start a span that is automatically ended when guard goes out of scope
#define XRPL_TRACE_SPAN(telemetry, name) \
auto _xrpl_span_ = (telemetry).startSpan(name); \
::xrpl::telemetry::SpanGuard _xrpl_guard_(_xrpl_span_)
// Start a span with specific kind
#define XRPL_TRACE_SPAN_KIND(telemetry, name, kind) \
auto _xrpl_span_ = (telemetry).startSpan(name, kind); \
::xrpl::telemetry::SpanGuard _xrpl_guard_(_xrpl_span_)
// Conditional span based on component
#define XRPL_TRACE_TX(telemetry, name) \
std::optional<::xrpl::telemetry::SpanGuard> _xrpl_guard_; \
if ((telemetry).shouldTraceTransactions()) { \
_xrpl_guard_.emplace((telemetry).startSpan(name)); \
}
#define XRPL_TRACE_CONSENSUS(telemetry, name) \
std::optional<::xrpl::telemetry::SpanGuard> _xrpl_guard_; \
if ((telemetry).shouldTraceConsensus()) { \
_xrpl_guard_.emplace((telemetry).startSpan(name)); \
}
#define XRPL_TRACE_RPC(telemetry, name) \
std::optional<::xrpl::telemetry::SpanGuard> _xrpl_guard_; \
if ((telemetry).shouldTraceRpc()) { \
_xrpl_guard_.emplace((telemetry).startSpan(name)); \
}
// Set attribute on current span (if exists)
#define XRPL_TRACE_SET_ATTR(key, value) \
if (_xrpl_guard_.has_value()) { \
_xrpl_guard_->setAttribute(key, value); \
}
// Record exception on current span
#define XRPL_TRACE_EXCEPTION(e) \
if (_xrpl_guard_.has_value()) { \
_xrpl_guard_->recordException(e); \
}
#else // XRPL_ENABLE_TELEMETRY not defined
#define XRPL_TRACE_SPAN(telemetry, name) ((void)0)
#define XRPL_TRACE_SPAN_KIND(telemetry, name, kind) ((void)0)
#define XRPL_TRACE_TX(telemetry, name) ((void)0)
#define XRPL_TRACE_CONSENSUS(telemetry, name) ((void)0)
#define XRPL_TRACE_RPC(telemetry, name) ((void)0)
#define XRPL_TRACE_SET_ATTR(key, value) ((void)0)
#define XRPL_TRACE_EXCEPTION(e) ((void)0)
#endif // XRPL_ENABLE_TELEMETRY
} // namespace telemetry
} // namespace xrpl
```
---
## 4.4 Protocol Buffer Extensions
### 4.4.1 TraceContext Message Definition
Add to `src/xrpld/overlay/detail/ripple.proto`:
```protobuf
// Trace context for distributed tracing across nodes
// Uses W3C Trace Context format internally
message TraceContext {
// 16-byte trace identifier (required for valid context)
bytes trace_id = 1;
// 8-byte span identifier of parent span
bytes span_id = 2;
// Trace flags (bit 0 = sampled)
uint32 trace_flags = 3;
// W3C tracestate header value for vendor-specific data
string trace_state = 4;
}
// Extend existing messages with optional trace context
// High field numbers (1000+) to avoid conflicts
message TMTransaction {
// ... existing fields ...
// Optional trace context for distributed tracing
optional TraceContext trace_context = 1001;
}
message TMProposeSet {
// ... existing fields ...
optional TraceContext trace_context = 1001;
}
message TMValidation {
// ... existing fields ...
optional TraceContext trace_context = 1001;
}
message TMGetLedger {
// ... existing fields ...
optional TraceContext trace_context = 1001;
}
message TMLedgerData {
// ... existing fields ...
optional TraceContext trace_context = 1001;
}
```
### 4.4.2 Context Serialization/Deserialization
```cpp
// include/xrpl/telemetry/TraceContext.h
#pragma once
#include <opentelemetry/context/context.h>
#include <opentelemetry/trace/span_context.h>
#include <protocol/messages.h> // Generated protobuf
#include <optional>
#include <string>
namespace xrpl {
namespace telemetry {
/**
* Utilities for trace context serialization and propagation.
*/
class TraceContextPropagator
{
public:
/**
* Extract trace context from Protocol Buffer message.
* Returns empty context if no trace info present.
*/
static opentelemetry::context::Context
extract(protocol::TraceContext const& proto);
/**
* Inject current trace context into Protocol Buffer message.
*/
static void
inject(
opentelemetry::context::Context const& ctx,
protocol::TraceContext& proto);
/**
* Extract trace context from HTTP headers (for RPC).
* Supports W3C Trace Context (traceparent, tracestate).
*/
static opentelemetry::context::Context
extractFromHeaders(
std::function<std::optional<std::string>(std::string_view)> headerGetter);
/**
* Inject trace context into HTTP headers (for RPC responses).
*/
static void
injectToHeaders(
opentelemetry::context::Context const& ctx,
std::function<void(std::string_view, std::string_view)> headerSetter);
};
// ═══════════════════════════════════════════════════════════════════════════
// IMPLEMENTATION
// ═══════════════════════════════════════════════════════════════════════════
inline opentelemetry::context::Context
TraceContextPropagator::extract(protocol::TraceContext const& proto)
{
using namespace opentelemetry::trace;
if (proto.trace_id().size() != 16 || proto.span_id().size() != 8)
return opentelemetry::context::Context{}; // Invalid, return empty
// Construct TraceId and SpanId from bytes
TraceId traceId(reinterpret_cast<uint8_t const*>(proto.trace_id().data()));
SpanId spanId(reinterpret_cast<uint8_t const*>(proto.span_id().data()));
TraceFlags flags(static_cast<uint8_t>(proto.trace_flags()));
// Create SpanContext from extracted data
SpanContext spanContext(traceId, spanId, flags, /* remote = */ true);
// Create context with extracted span as parent
return opentelemetry::context::Context{}.SetValue(
opentelemetry::trace::kSpanKey,
opentelemetry::nostd::shared_ptr<Span>(
new DefaultSpan(spanContext)));
}
inline void
TraceContextPropagator::inject(
opentelemetry::context::Context const& ctx,
protocol::TraceContext& proto)
{
using namespace opentelemetry::trace;
// Get current span from context
auto span = GetSpan(ctx);
if (!span)
return;
auto const& spanCtx = span->GetContext();
if (!spanCtx.IsValid())
return;
// Serialize trace_id (16 bytes)
auto const& traceId = spanCtx.trace_id();
proto.set_trace_id(traceId.Id().data(), TraceId::kSize);
// Serialize span_id (8 bytes)
auto const& spanId = spanCtx.span_id();
proto.set_span_id(spanId.Id().data(), SpanId::kSize);
// Serialize flags
proto.set_trace_flags(spanCtx.trace_flags().flags());
// Note: tracestate not implemented yet
}
} // namespace telemetry
} // namespace xrpl
```
---
## 4.5 Module-Specific Instrumentation
### 4.5.1 Transaction Relay Instrumentation
```cpp
// src/xrpld/overlay/detail/PeerImp.cpp (modified)
#include <xrpl/telemetry/TracingInstrumentation.h>
void
PeerImp::handleTransaction(
std::shared_ptr<protocol::TMTransaction> const& m)
{
// Extract trace context from incoming message
opentelemetry::context::Context parentCtx;
if (m->has_trace_context())
{
parentCtx = telemetry::TraceContextPropagator::extract(
m->trace_context());
}
// Start span as child of remote span (cross-node link)
auto span = app_.getTelemetry().startSpan(
"tx.receive",
parentCtx,
opentelemetry::trace::SpanKind::kServer);
telemetry::SpanGuard guard(span);
try
{
// Parse and validate transaction
SerialIter sit(makeSlice(m->rawtransaction()));
auto stx = std::make_shared<STTx const>(sit);
// Add transaction attributes
guard.setAttribute("xrpl.tx.hash", to_string(stx->getTransactionID()));
guard.setAttribute("xrpl.tx.type", stx->getTxnType());
guard.setAttribute("xrpl.peer.id", remote_address_.to_string());
// Check if we've seen this transaction (HashRouter)
auto const [flags, suppressed] =
app_.getHashRouter().addSuppressionPeer(
stx->getTransactionID(),
id_);
if (suppressed)
{
guard.setAttribute("xrpl.tx.suppressed", true);
guard.addEvent("tx.duplicate");
return; // Already processing this transaction
}
// Create child span for validation
{
auto validateSpan = app_.getTelemetry().startSpan("tx.validate");
telemetry::SpanGuard validateGuard(validateSpan);
auto [validity, reason] = checkTransaction(stx);
validateGuard.setAttribute("xrpl.tx.validity",
validity == Validity::Valid ? "valid" : "invalid");
if (validity != Validity::Valid)
{
validateGuard.setStatus(
opentelemetry::trace::StatusCode::kError,
reason);
return;
}
}
// Relay to other peers (capture context for propagation)
auto ctx = guard.context();
// Create child span for relay
auto relaySpan = app_.getTelemetry().startSpan(
"tx.relay",
ctx,
opentelemetry::trace::SpanKind::kClient);
{
telemetry::SpanGuard relayGuard(relaySpan);
// Inject context into outgoing message
protocol::TraceContext protoCtx;
telemetry::TraceContextPropagator::inject(
relayGuard.context(), protoCtx);
// Relay to other peers
app_.overlay().relay(
stx->getTransactionID(),
*m,
protoCtx, // Pass trace context
exclusions);
relayGuard.setAttribute("xrpl.tx.relay_count",
static_cast<int64_t>(relayCount));
}
guard.setOk();
}
catch (std::exception const& e)
{
guard.recordException(e);
JLOG(journal_.warn()) << "Transaction handling failed: " << e.what();
}
}
```
### 4.5.2 Consensus Instrumentation
```cpp
// src/xrpld/app/consensus/RCLConsensus.cpp (modified)
#include <xrpl/telemetry/TracingInstrumentation.h>
void
RCLConsensusAdaptor::startRound(
NetClock::time_point const& now,
RCLCxLedger::ID const& prevLedgerHash,
RCLCxLedger const& prevLedger,
hash_set<NodeID> const& peers,
bool proposing)
{
XRPL_TRACE_CONSENSUS(app_.getTelemetry(), "consensus.round");
XRPL_TRACE_SET_ATTR("xrpl.consensus.ledger.prev", to_string(prevLedgerHash));
XRPL_TRACE_SET_ATTR("xrpl.consensus.ledger.seq",
static_cast<int64_t>(prevLedger.seq() + 1));
XRPL_TRACE_SET_ATTR("xrpl.consensus.proposers",
static_cast<int64_t>(peers.size()));
XRPL_TRACE_SET_ATTR("xrpl.consensus.mode",
proposing ? "proposing" : "observing");
// Store trace context for use in phase transitions
currentRoundContext_ = _xrpl_guard_.has_value()
? _xrpl_guard_->context()
: opentelemetry::context::Context{};
// ... existing implementation ...
}
ConsensusPhase
RCLConsensusAdaptor::phaseTransition(ConsensusPhase newPhase)
{
// Create span for phase transition
auto span = app_.getTelemetry().startSpan(
"consensus.phase." + to_string(newPhase),
currentRoundContext_);
telemetry::SpanGuard guard(span);
guard.setAttribute("xrpl.consensus.phase", to_string(newPhase));
guard.addEvent("phase.enter");
auto const startTime = std::chrono::steady_clock::now();
try
{
auto result = doPhaseTransition(newPhase);
auto const duration = std::chrono::steady_clock::now() - startTime;
guard.setAttribute("xrpl.consensus.phase_duration_ms",
std::chrono::duration<double, std::milli>(duration).count());
guard.setOk();
return result;
}
catch (std::exception const& e)
{
guard.recordException(e);
throw;
}
}
void
RCLConsensusAdaptor::peerProposal(
NetClock::time_point const& now,
RCLCxPeerPos const& proposal)
{
// Extract trace context from proposal message
opentelemetry::context::Context parentCtx;
if (proposal.hasTraceContext())
{
parentCtx = telemetry::TraceContextPropagator::extract(
proposal.traceContext());
}
auto span = app_.getTelemetry().startSpan(
"consensus.proposal.receive",
parentCtx,
opentelemetry::trace::SpanKind::kServer);
telemetry::SpanGuard guard(span);
guard.setAttribute("xrpl.consensus.proposer",
toBase58(TokenType::NodePublic, proposal.nodeId()));
guard.setAttribute("xrpl.consensus.round",
static_cast<int64_t>(proposal.proposal().proposeSeq()));
// ... existing implementation ...
guard.setOk();
}
```
### 4.5.3 RPC Handler Instrumentation
```cpp
// src/xrpld/rpc/detail/ServerHandler.cpp (modified)
#include <xrpl/telemetry/TracingInstrumentation.h>
void
ServerHandler::onRequest(
http_request_type&& req,
std::function<void(http_response_type&&)>&& send)
{
// Extract trace context from HTTP headers (W3C Trace Context)
auto parentCtx = telemetry::TraceContextPropagator::extractFromHeaders(
[&req](std::string_view name) -> std::optional<std::string> {
auto it = req.find(boost::beast::http::field{
std::string(name)});
if (it != req.end())
return std::string(it->value());
return std::nullopt;
});
// Start request span
auto span = app_.getTelemetry().startSpan(
"rpc.request",
parentCtx,
opentelemetry::trace::SpanKind::kServer);
telemetry::SpanGuard guard(span);
// Add HTTP attributes
guard.setAttribute("http.method", std::string(req.method_string()));
guard.setAttribute("http.target", std::string(req.target()));
guard.setAttribute("http.user_agent",
std::string(req[boost::beast::http::field::user_agent]));
auto const startTime = std::chrono::steady_clock::now();
try
{
// Parse and process request
auto const& body = req.body();
Json::Value jv;
Json::Reader reader;
if (!reader.parse(body, jv))
{
guard.setStatus(
opentelemetry::trace::StatusCode::kError,
"Invalid JSON");
sendError(send, "Invalid JSON");
return;
}
// Extract command name
std::string command = jv.isMember("command")
? jv["command"].asString()
: jv.isMember("method")
? jv["method"].asString()
: "unknown";
guard.setAttribute("xrpl.rpc.command", command);
// Create child span for command execution
auto cmdSpan = app_.getTelemetry().startSpan(
"rpc.command." + command);
{
telemetry::SpanGuard cmdGuard(cmdSpan);
// Execute RPC command
auto result = processRequest(jv);
// Record result attributes
if (result.isMember("status"))
{
cmdGuard.setAttribute("xrpl.rpc.status",
result["status"].asString());
}
if (result["status"].asString() == "error")
{
cmdGuard.setStatus(
opentelemetry::trace::StatusCode::kError,
result.isMember("error_message")
? result["error_message"].asString()
: "RPC error");
}
else
{
cmdGuard.setOk();
}
}
auto const duration = std::chrono::steady_clock::now() - startTime;
guard.setAttribute("http.duration_ms",
std::chrono::duration<double, std::milli>(duration).count());
// Inject trace context into response headers
http_response_type resp;
telemetry::TraceContextPropagator::injectToHeaders(
guard.context(),
[&resp](std::string_view name, std::string_view value) {
resp.set(std::string(name), std::string(value));
});
guard.setOk();
send(std::move(resp));
}
catch (std::exception const& e)
{
guard.recordException(e);
JLOG(journal_.error()) << "RPC request failed: " << e.what();
sendError(send, e.what());
}
}
```
### 4.5.4 JobQueue Context Propagation
```cpp
// src/xrpld/core/JobQueue.h (modified)
#include <opentelemetry/context/context.h>
class Job
{
// ... existing members ...
// Captured trace context at job creation
opentelemetry::context::Context traceContext_;
public:
// Constructor captures current trace context
Job(JobType type, std::function<void()> func, ...)
: type_(type)
, func_(std::move(func))
, traceContext_(opentelemetry::context::RuntimeContext::GetCurrent())
// ... other initializations ...
{
}
// Get trace context for restoration during execution
opentelemetry::context::Context const&
traceContext() const { return traceContext_; }
};
// src/xrpld/core/JobQueue.cpp (modified)
void
Worker::run()
{
while (auto job = getJob())
{
// Restore trace context from job creation
auto token = opentelemetry::context::RuntimeContext::Attach(
job->traceContext());
// Start execution span
auto span = app_.getTelemetry().startSpan("job.execute");
telemetry::SpanGuard guard(span);
guard.setAttribute("xrpl.job.type", to_string(job->type()));
guard.setAttribute("xrpl.job.queue_ms", job->queueTimeMs());
guard.setAttribute("xrpl.job.worker", workerId_);
try
{
job->execute();
guard.setOk();
}
catch (std::exception const& e)
{
guard.recordException(e);
JLOG(journal_.error()) << "Job execution failed: " << e.what();
}
}
}
```
---
## 4.6 Span Flow Visualization
<div align="center">
```mermaid
flowchart TB
subgraph Client["External Client"]
submit["Submit TX"]
end
subgraph NodeA["rippled Node A"]
rpcA["rpc.request"]
cmdA["rpc.command.submit"]
txRecvA["tx.receive"]
txValA["tx.validate"]
txRelayA["tx.relay"]
end
subgraph NodeB["rippled Node B"]
txRecvB["tx.receive"]
txValB["tx.validate"]
txRelayB["tx.relay"]
end
subgraph NodeC["rippled Node C"]
txRecvC["tx.receive"]
consensusC["consensus.round"]
phaseC["consensus.phase.establish"]
end
submit --> rpcA
rpcA --> cmdA
cmdA --> txRecvA
txRecvA --> txValA
txValA --> txRelayA
txRelayA -.->|"TraceContext"| txRecvB
txRecvB --> txValB
txValB --> txRelayB
txRelayB -.->|"TraceContext"| txRecvC
txRecvC --> consensusC
consensusC --> phaseC
style Client fill:#334155,stroke:#1e293b,color:#fff
style NodeA fill:#1e3a8a,stroke:#172554,color:#fff
style NodeB fill:#064e3b,stroke:#022c22,color:#fff
style NodeC fill:#78350f,stroke:#451a03,color:#fff
style submit fill:#e2e8f0,stroke:#cbd5e1,color:#1e293b
style rpcA fill:#1d4ed8,stroke:#1e40af,color:#fff
style cmdA fill:#1d4ed8,stroke:#1e40af,color:#fff
style txRecvA fill:#047857,stroke:#064e3b,color:#fff
style txValA fill:#047857,stroke:#064e3b,color:#fff
style txRelayA fill:#047857,stroke:#064e3b,color:#fff
style txRecvB fill:#047857,stroke:#064e3b,color:#fff
style txValB fill:#047857,stroke:#064e3b,color:#fff
style txRelayB fill:#047857,stroke:#064e3b,color:#fff
style txRecvC fill:#047857,stroke:#064e3b,color:#fff
style consensusC fill:#fef3c7,stroke:#fde68a,color:#1e293b
style phaseC fill:#fef3c7,stroke:#fde68a,color:#1e293b
```
</div>
---
_Previous: [Implementation Strategy](./03-implementation-strategy.md)_ | _Next: [Configuration Reference](./05-configuration-reference.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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# Configuration Reference
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Code Samples](./04-code-samples.md) | [Implementation Phases](./06-implementation-phases.md)
---
## 5.1 rippled Configuration
### 5.1.1 Configuration File Section
Add to `cfg/xrpld-example.cfg`:
```ini
# ═══════════════════════════════════════════════════════════════════════════════
# TELEMETRY (OpenTelemetry Distributed Tracing)
# ═══════════════════════════════════════════════════════════════════════════════
#
# Enables distributed tracing for transaction flow, consensus, and RPC calls.
# Traces are exported to an OpenTelemetry Collector using OTLP protocol.
#
# [telemetry]
#
# # Enable/disable telemetry (default: 0 = disabled)
# enabled=1
#
# # Exporter type: "otlp_grpc" (default), "otlp_http", or "none"
# exporter=otlp_grpc
#
# # OTLP endpoint (default: localhost:4317 for gRPC, localhost:4318 for HTTP)
# endpoint=localhost:4317
#
# # Use TLS for exporter connection (default: 0)
# use_tls=0
#
# # Path to CA certificate for TLS (optional)
# # tls_ca_cert=/path/to/ca.crt
#
# # Sampling ratio: 0.0-1.0 (default: 1.0 = 100% sampling)
# # Use lower values in production to reduce overhead
# sampling_ratio=0.1
#
# # Batch processor settings
# batch_size=512 # Spans per batch (default: 512)
# batch_delay_ms=5000 # Max delay before sending batch (default: 5000)
# max_queue_size=2048 # Max queued spans (default: 2048)
#
# # Component-specific tracing (default: all enabled except peer)
# trace_transactions=1 # Transaction relay and processing
# trace_consensus=1 # Consensus rounds and proposals
# trace_rpc=1 # RPC request handling
# trace_peer=0 # Peer messages (high volume, disabled by default)
# trace_ledger=1 # Ledger acquisition and building
#
# # Service identification (automatically detected if not specified)
# # service_name=rippled
# # service_instance_id=<node_public_key>
[telemetry]
enabled=0
```
### 5.1.2 Configuration Options Summary
| Option | Type | Default | Description |
| --------------------- | ------ | ---------------- | ----------------------------------------- |
| `enabled` | bool | `false` | Enable/disable telemetry |
| `exporter` | string | `"otlp_grpc"` | Exporter type: otlp_grpc, otlp_http, none |
| `endpoint` | string | `localhost:4317` | OTLP collector endpoint |
| `use_tls` | bool | `false` | Enable TLS for exporter connection |
| `tls_ca_cert` | string | `""` | Path to CA certificate file |
| `sampling_ratio` | float | `1.0` | Sampling ratio (0.0-1.0) |
| `batch_size` | uint | `512` | Spans per export batch |
| `batch_delay_ms` | uint | `5000` | Max delay before sending batch (ms) |
| `max_queue_size` | uint | `2048` | Maximum queued spans |
| `trace_transactions` | bool | `true` | Enable transaction tracing |
| `trace_consensus` | bool | `true` | Enable consensus tracing |
| `trace_rpc` | bool | `true` | Enable RPC tracing |
| `trace_peer` | bool | `false` | Enable peer message tracing (high volume) |
| `trace_ledger` | bool | `true` | Enable ledger tracing |
| `service_name` | string | `"rippled"` | Service name for traces |
| `service_instance_id` | string | `<node_pubkey>` | Instance identifier |
---
## 5.2 Configuration Parser
```cpp
// src/libxrpl/telemetry/TelemetryConfig.cpp
#include <xrpl/telemetry/Telemetry.h>
#include <xrpl/basics/Log.h>
namespace xrpl {
namespace telemetry {
Telemetry::Setup
setup_Telemetry(
Section const& section,
std::string const& nodePublicKey,
std::string const& version)
{
Telemetry::Setup setup;
// Basic settings
setup.enabled = section.value_or("enabled", false);
setup.serviceName = section.value_or("service_name", "rippled");
setup.serviceVersion = version;
setup.serviceInstanceId = section.value_or(
"service_instance_id", nodePublicKey);
// Exporter settings
setup.exporterType = section.value_or("exporter", "otlp_grpc");
if (setup.exporterType == "otlp_grpc")
setup.exporterEndpoint = section.value_or("endpoint", "localhost:4317");
else if (setup.exporterType == "otlp_http")
setup.exporterEndpoint = section.value_or("endpoint", "localhost:4318");
setup.useTls = section.value_or("use_tls", false);
setup.tlsCertPath = section.value_or("tls_ca_cert", "");
// Sampling
setup.samplingRatio = section.value_or("sampling_ratio", 1.0);
if (setup.samplingRatio < 0.0 || setup.samplingRatio > 1.0)
{
Throw<std::runtime_error>(
"telemetry.sampling_ratio must be between 0.0 and 1.0");
}
// Batch processor
setup.batchSize = section.value_or("batch_size", 512u);
setup.batchDelay = std::chrono::milliseconds{
section.value_or("batch_delay_ms", 5000u)};
setup.maxQueueSize = section.value_or("max_queue_size", 2048u);
// Component filtering
setup.traceTransactions = section.value_or("trace_transactions", true);
setup.traceConsensus = section.value_or("trace_consensus", true);
setup.traceRpc = section.value_or("trace_rpc", true);
setup.tracePeer = section.value_or("trace_peer", false);
setup.traceLedger = section.value_or("trace_ledger", true);
return setup;
}
} // namespace telemetry
} // namespace xrpl
```
---
## 5.3 Application Integration
### 5.3.1 ApplicationImp Changes
```cpp
// src/xrpld/app/main/Application.cpp (modified)
#include <xrpl/telemetry/Telemetry.h>
class ApplicationImp : public Application
{
// ... existing members ...
// Telemetry (must be constructed early, destroyed late)
std::unique_ptr<telemetry::Telemetry> telemetry_;
public:
ApplicationImp(...)
{
// Initialize telemetry early (before other components)
auto telemetrySection = config_->section("telemetry");
auto telemetrySetup = telemetry::setup_Telemetry(
telemetrySection,
toBase58(TokenType::NodePublic, nodeIdentity_.publicKey()),
BuildInfo::getVersionString());
// Set network attributes
telemetrySetup.networkId = config_->NETWORK_ID;
telemetrySetup.networkType = [&]() {
if (config_->NETWORK_ID == 0) return "mainnet";
if (config_->NETWORK_ID == 1) return "testnet";
if (config_->NETWORK_ID == 2) return "devnet";
return "custom";
}();
telemetry_ = telemetry::make_Telemetry(
telemetrySetup,
logs_->journal("Telemetry"));
// ... rest of initialization ...
}
void start() override
{
// Start telemetry first
if (telemetry_)
telemetry_->start();
// ... existing start code ...
}
void stop() override
{
// ... existing stop code ...
// Stop telemetry last (to capture shutdown spans)
if (telemetry_)
telemetry_->stop();
}
telemetry::Telemetry& getTelemetry() override
{
assert(telemetry_);
return *telemetry_;
}
};
```
### 5.3.2 Application Interface Addition
```cpp
// include/xrpl/app/main/Application.h (modified)
namespace telemetry { class Telemetry; }
class Application
{
public:
// ... existing virtual methods ...
/** Get the telemetry system for distributed tracing */
virtual telemetry::Telemetry& getTelemetry() = 0;
};
```
---
## 5.4 CMake Integration
### 5.4.1 Find OpenTelemetry Module
```cmake
# cmake/FindOpenTelemetry.cmake
# Find OpenTelemetry C++ SDK
#
# This module defines:
# OpenTelemetry_FOUND - System has OpenTelemetry
# OpenTelemetry::api - API library target
# OpenTelemetry::sdk - SDK library target
# OpenTelemetry::otlp_grpc_exporter - OTLP gRPC exporter target
# OpenTelemetry::otlp_http_exporter - OTLP HTTP exporter target
find_package(opentelemetry-cpp CONFIG QUIET)
if(opentelemetry-cpp_FOUND)
set(OpenTelemetry_FOUND TRUE)
# Create imported targets if not already created by config
if(NOT TARGET OpenTelemetry::api)
add_library(OpenTelemetry::api ALIAS opentelemetry-cpp::api)
endif()
if(NOT TARGET OpenTelemetry::sdk)
add_library(OpenTelemetry::sdk ALIAS opentelemetry-cpp::sdk)
endif()
if(NOT TARGET OpenTelemetry::otlp_grpc_exporter)
add_library(OpenTelemetry::otlp_grpc_exporter ALIAS
opentelemetry-cpp::otlp_grpc_exporter)
endif()
else()
# Try pkg-config fallback
find_package(PkgConfig QUIET)
if(PKG_CONFIG_FOUND)
pkg_check_modules(OTEL opentelemetry-cpp QUIET)
if(OTEL_FOUND)
set(OpenTelemetry_FOUND TRUE)
# Create imported targets from pkg-config
add_library(OpenTelemetry::api INTERFACE IMPORTED)
target_include_directories(OpenTelemetry::api INTERFACE
${OTEL_INCLUDE_DIRS})
endif()
endif()
endif()
include(FindPackageHandleStandardArgs)
find_package_handle_standard_args(OpenTelemetry
REQUIRED_VARS OpenTelemetry_FOUND)
```
### 5.4.2 CMakeLists.txt Changes
```cmake
# CMakeLists.txt (additions)
# ═══════════════════════════════════════════════════════════════════════════════
# TELEMETRY OPTIONS
# ═══════════════════════════════════════════════════════════════════════════════
option(XRPL_ENABLE_TELEMETRY
"Enable OpenTelemetry distributed tracing support" OFF)
if(XRPL_ENABLE_TELEMETRY)
find_package(OpenTelemetry REQUIRED)
# Define compile-time flag
add_compile_definitions(XRPL_ENABLE_TELEMETRY)
message(STATUS "OpenTelemetry tracing: ENABLED")
else()
message(STATUS "OpenTelemetry tracing: DISABLED")
endif()
# ═══════════════════════════════════════════════════════════════════════════════
# TELEMETRY LIBRARY
# ═══════════════════════════════════════════════════════════════════════════════
if(XRPL_ENABLE_TELEMETRY)
add_library(xrpl_telemetry
src/libxrpl/telemetry/Telemetry.cpp
src/libxrpl/telemetry/TelemetryConfig.cpp
src/libxrpl/telemetry/TraceContext.cpp
)
target_include_directories(xrpl_telemetry
PUBLIC
${CMAKE_CURRENT_SOURCE_DIR}/include
)
target_link_libraries(xrpl_telemetry
PUBLIC
OpenTelemetry::api
OpenTelemetry::sdk
OpenTelemetry::otlp_grpc_exporter
PRIVATE
xrpl_basics
)
# Add to main library dependencies
target_link_libraries(xrpld PRIVATE xrpl_telemetry)
else()
# Create null implementation library
add_library(xrpl_telemetry
src/libxrpl/telemetry/NullTelemetry.cpp
)
target_include_directories(xrpl_telemetry
PUBLIC ${CMAKE_CURRENT_SOURCE_DIR}/include
)
endif()
```
---
## 5.5 OpenTelemetry Collector Configuration
### 5.5.1 Development Configuration
```yaml
# otel-collector-dev.yaml
# Minimal configuration for local development
receivers:
otlp:
protocols:
grpc:
endpoint: 0.0.0.0:4317
http:
endpoint: 0.0.0.0:4318
processors:
batch:
timeout: 1s
send_batch_size: 100
exporters:
# Console output for debugging
logging:
verbosity: detailed
sampling_initial: 5
sampling_thereafter: 200
# Jaeger for trace visualization
jaeger:
endpoint: jaeger:14250
tls:
insecure: true
# Grafana Tempo for trace storage
otlp/tempo:
endpoint: tempo:4317
tls:
insecure: true
service:
pipelines:
traces:
receivers: [otlp]
processors: [batch]
exporters: [logging, jaeger, otlp/tempo]
```
### 5.5.2 Production Configuration
```yaml
# otel-collector-prod.yaml
# Production configuration with filtering, sampling, and multiple backends
receivers:
otlp:
protocols:
grpc:
endpoint: 0.0.0.0:4317
tls:
cert_file: /etc/otel/server.crt
key_file: /etc/otel/server.key
ca_file: /etc/otel/ca.crt
processors:
# Memory limiter to prevent OOM
memory_limiter:
check_interval: 1s
limit_mib: 1000
spike_limit_mib: 200
# Batch processing for efficiency
batch:
timeout: 5s
send_batch_size: 512
send_batch_max_size: 1024
# Tail-based sampling (keep errors and slow traces)
tail_sampling:
decision_wait: 10s
num_traces: 100000
expected_new_traces_per_sec: 1000
policies:
# Always keep error traces
- name: errors
type: status_code
status_code:
status_codes: [ERROR]
# Keep slow consensus rounds (>5s)
- name: slow-consensus
type: latency
latency:
threshold_ms: 5000
# Keep slow RPC requests (>1s)
- name: slow-rpc
type: and
and:
and_sub_policy:
- name: rpc-spans
type: string_attribute
string_attribute:
key: xrpl.rpc.command
values: [".*"]
enabled_regex_matching: true
- name: latency
type: latency
latency:
threshold_ms: 1000
# Probabilistic sampling for the rest
- name: probabilistic
type: probabilistic
probabilistic:
sampling_percentage: 10
# Attribute processing
attributes:
actions:
# Hash sensitive data
- key: xrpl.tx.account
action: hash
# Add deployment info
- key: deployment.environment
value: production
action: upsert
exporters:
# Grafana Tempo for long-term storage
otlp/tempo:
endpoint: tempo.monitoring:4317
tls:
insecure: false
ca_file: /etc/otel/tempo-ca.crt
# Elastic APM for correlation with logs
otlp/elastic:
endpoint: apm.elastic:8200
headers:
Authorization: "Bearer ${ELASTIC_APM_TOKEN}"
extensions:
health_check:
endpoint: 0.0.0.0:13133
zpages:
endpoint: 0.0.0.0:55679
service:
extensions: [health_check, zpages]
pipelines:
traces:
receivers: [otlp]
processors: [memory_limiter, tail_sampling, attributes, batch]
exporters: [otlp/tempo, otlp/elastic]
```
---
## 5.6 Docker Compose Development Environment
```yaml
# docker-compose-telemetry.yaml
version: "3.8"
services:
# OpenTelemetry Collector
otel-collector:
image: otel/opentelemetry-collector-contrib:0.92.0
container_name: otel-collector
command: ["--config=/etc/otel-collector-config.yaml"]
volumes:
- ./otel-collector-dev.yaml:/etc/otel-collector-config.yaml:ro
ports:
- "4317:4317" # OTLP gRPC
- "4318:4318" # OTLP HTTP
- "13133:13133" # Health check
depends_on:
- jaeger
# Jaeger for trace visualization
jaeger:
image: jaegertracing/all-in-one:1.53
container_name: jaeger
environment:
- COLLECTOR_OTLP_ENABLED=true
ports:
- "16686:16686" # UI
- "14250:14250" # gRPC
# Grafana Tempo for trace storage (recommended for production)
tempo:
image: grafana/tempo:2.7.2
container_name: tempo
command: ["-config.file=/etc/tempo.yaml"]
volumes:
- ./tempo.yaml:/etc/tempo.yaml:ro
- tempo-data:/var/tempo
ports:
- "3200:3200" # HTTP API
# Grafana for dashboards
grafana:
image: grafana/grafana:10.2.3
container_name: grafana
environment:
- GF_AUTH_ANONYMOUS_ENABLED=true
- GF_AUTH_ANONYMOUS_ORG_ROLE=Admin
volumes:
- ./grafana/provisioning:/etc/grafana/provisioning:ro
- ./grafana/dashboards:/var/lib/grafana/dashboards:ro
ports:
- "3000:3000"
depends_on:
- jaeger
- tempo
# Prometheus for metrics (optional, for correlation)
prometheus:
image: prom/prometheus:v2.48.1
container_name: prometheus
volumes:
- ./prometheus.yaml:/etc/prometheus/prometheus.yml:ro
ports:
- "9090:9090"
networks:
default:
name: rippled-telemetry
```
---
## 5.7 Configuration Architecture
```mermaid
flowchart TB
subgraph config["Configuration Sources"]
cfgFile["xrpld.cfg<br/>[telemetry] section"]
cmake["CMake<br/>XRPL_ENABLE_TELEMETRY"]
end
subgraph init["Initialization"]
parse["setup_Telemetry()"]
factory["make_Telemetry()"]
end
subgraph runtime["Runtime Components"]
tracer["TracerProvider"]
exporter["OTLP Exporter"]
processor["BatchProcessor"]
end
subgraph collector["Collector Pipeline"]
recv["Receivers"]
proc["Processors"]
exp["Exporters"]
end
cfgFile --> parse
cmake -->|"compile flag"| parse
parse --> factory
factory --> tracer
tracer --> processor
processor --> exporter
exporter -->|"OTLP"| recv
recv --> proc
proc --> exp
style config fill:#e3f2fd,stroke:#1976d2
style runtime fill:#e8f5e9,stroke:#388e3c
style collector fill:#fff3e0,stroke:#ff9800
```
---
## 5.8 Grafana Integration
Step-by-step instructions for integrating rippled traces with Grafana.
### 5.8.1 Data Source Configuration
#### Tempo (Recommended)
```yaml
# grafana/provisioning/datasources/tempo.yaml
apiVersion: 1
datasources:
- name: Tempo
type: tempo
access: proxy
url: http://tempo:3200
jsonData:
httpMethod: GET
tracesToLogs:
datasourceUid: loki
tags: ["service.name", "xrpl.tx.hash"]
mappedTags: [{ key: "trace_id", value: "traceID" }]
mapTagNamesEnabled: true
filterByTraceID: true
serviceMap:
datasourceUid: prometheus
nodeGraph:
enabled: true
search:
hide: false
lokiSearch:
datasourceUid: loki
```
#### Jaeger
```yaml
# grafana/provisioning/datasources/jaeger.yaml
apiVersion: 1
datasources:
- name: Jaeger
type: jaeger
access: proxy
url: http://jaeger:16686
jsonData:
tracesToLogs:
datasourceUid: loki
tags: ["service.name"]
```
#### Elastic APM
```yaml
# grafana/provisioning/datasources/elastic-apm.yaml
apiVersion: 1
datasources:
- name: Elasticsearch-APM
type: elasticsearch
access: proxy
url: http://elasticsearch:9200
database: "apm-*"
jsonData:
esVersion: "8.0.0"
timeField: "@timestamp"
logMessageField: message
logLevelField: log.level
```
### 5.8.2 Dashboard Provisioning
```yaml
# grafana/provisioning/dashboards/dashboards.yaml
apiVersion: 1
providers:
- name: "rippled-dashboards"
orgId: 1
folder: "rippled"
folderUid: "rippled"
type: file
disableDeletion: false
updateIntervalSeconds: 30
options:
path: /var/lib/grafana/dashboards/rippled
```
### 5.8.3 Example Dashboard: RPC Performance
```json
{
"title": "rippled RPC Performance",
"uid": "rippled-rpc-performance",
"panels": [
{
"title": "RPC Latency by Command",
"type": "heatmap",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"rippled\" && span.xrpl.rpc.command != \"\"} | histogram_over_time(duration) by (span.xrpl.rpc.command)"
}
],
"gridPos": { "h": 8, "w": 12, "x": 0, "y": 0 }
},
{
"title": "RPC Error Rate",
"type": "timeseries",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"rippled\" && status.code=error} | rate() by (span.xrpl.rpc.command)"
}
],
"gridPos": { "h": 8, "w": 12, "x": 12, "y": 0 }
},
{
"title": "Top 10 Slowest RPC Commands",
"type": "table",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"rippled\" && span.xrpl.rpc.command != \"\"} | avg(duration) by (span.xrpl.rpc.command) | topk(10)"
}
],
"gridPos": { "h": 8, "w": 24, "x": 0, "y": 8 }
},
{
"title": "Recent Traces",
"type": "table",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"rippled\"}"
}
],
"gridPos": { "h": 8, "w": 24, "x": 0, "y": 16 }
}
]
}
```
### 5.8.4 Example Dashboard: Transaction Tracing
```json
{
"title": "rippled Transaction Tracing",
"uid": "rippled-tx-tracing",
"panels": [
{
"title": "Transaction Throughput",
"type": "stat",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"rippled\" && name=\"tx.receive\"} | rate()"
}
],
"gridPos": { "h": 4, "w": 6, "x": 0, "y": 0 }
},
{
"title": "Cross-Node Relay Count",
"type": "timeseries",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"rippled\" && name=\"tx.relay\"} | avg(span.xrpl.tx.relay_count)"
}
],
"gridPos": { "h": 8, "w": 12, "x": 0, "y": 4 }
},
{
"title": "Transaction Validation Errors",
"type": "table",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"rippled\" && name=\"tx.validate\" && status.code=error}"
}
],
"gridPos": { "h": 8, "w": 12, "x": 12, "y": 4 }
}
]
}
```
### 5.8.5 TraceQL Query Examples
Common queries for rippled traces:
```
# Find all traces for a specific transaction hash
{resource.service.name="rippled" && span.xrpl.tx.hash="ABC123..."}
# Find slow RPC commands (>100ms)
{resource.service.name="rippled" && name=~"rpc.command.*"} | duration > 100ms
# Find consensus rounds taking >5 seconds
{resource.service.name="rippled" && name="consensus.round"} | duration > 5s
# Find failed transactions with error details
{resource.service.name="rippled" && name="tx.validate" && status.code=error}
# Find transactions relayed to many peers
{resource.service.name="rippled" && name="tx.relay"} | span.xrpl.tx.relay_count > 10
# Compare latency across nodes
{resource.service.name="rippled" && name="rpc.command.account_info"} | avg(duration) by (resource.service.instance.id)
```
### 5.8.6 Correlation with PerfLog
To correlate OpenTelemetry traces with existing PerfLog data:
**Step 1: Configure Loki to ingest PerfLog**
```yaml
# promtail-config.yaml
scrape_configs:
- job_name: rippled-perflog
static_configs:
- targets:
- localhost
labels:
job: rippled
__path__: /var/log/rippled/perf*.log
pipeline_stages:
- json:
expressions:
trace_id: trace_id
ledger_seq: ledger_seq
tx_hash: tx_hash
- labels:
trace_id:
ledger_seq:
tx_hash:
```
**Step 2: Add trace_id to PerfLog entries**
Modify PerfLog to include trace_id when available:
```cpp
// In PerfLog output, add trace_id from current span context
void logPerf(Json::Value& entry) {
auto span = opentelemetry::trace::GetSpan(
opentelemetry::context::RuntimeContext::GetCurrent());
if (span && span->GetContext().IsValid()) {
char traceIdHex[33];
span->GetContext().trace_id().ToLowerBase16(traceIdHex);
entry["trace_id"] = std::string(traceIdHex, 32);
}
// ... existing logging
}
```
**Step 3: Configure Grafana trace-to-logs link**
In Tempo data source configuration, set up the derived field:
```yaml
jsonData:
tracesToLogs:
datasourceUid: loki
tags: ["trace_id", "xrpl.tx.hash"]
filterByTraceID: true
filterBySpanID: false
```
### 5.8.7 Correlation with Insight/StatsD Metrics
To correlate traces with existing Beast Insight metrics:
**Step 1: Export Insight metrics to Prometheus**
```yaml
# prometheus.yaml
scrape_configs:
- job_name: "rippled-statsd"
static_configs:
- targets: ["statsd-exporter:9102"]
```
**Step 2: Add exemplars to metrics**
OpenTelemetry SDK automatically adds exemplars (trace IDs) to metrics when using the Prometheus exporter. This links metrics spikes to specific traces.
**Step 3: Configure Grafana metric-to-trace link**
```yaml
# In Prometheus data source
jsonData:
exemplarTraceIdDestinations:
- name: trace_id
datasourceUid: tempo
```
**Step 4: Dashboard panel with exemplars**
```json
{
"title": "RPC Latency with Trace Links",
"type": "timeseries",
"datasource": "Prometheus",
"targets": [
{
"expr": "histogram_quantile(0.99, rate(rippled_rpc_duration_seconds_bucket[5m]))",
"exemplar": true
}
]
}
```
This allows clicking on metric data points to jump directly to the related trace.
---
_Previous: [Code Samples](./04-code-samples.md)_ | _Next: [Implementation Phases](./06-implementation-phases.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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# Implementation Phases
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Configuration Reference](./05-configuration-reference.md) | [Observability Backends](./07-observability-backends.md)
---
## 6.1 Phase Overview
```mermaid
gantt
title OpenTelemetry Implementation Timeline
dateFormat YYYY-MM-DD
axisFormat Week %W
section Phase 1
Core Infrastructure :p1, 2024-01-01, 2w
SDK Integration :p1a, 2024-01-01, 4d
Telemetry Interface :p1b, after p1a, 3d
Configuration & CMake :p1c, after p1b, 3d
Unit Tests :p1d, after p1c, 2d
section Phase 2
RPC Tracing :p2, after p1, 2w
HTTP Context Extraction :p2a, after p1, 2d
RPC Handler Instrumentation :p2b, after p2a, 4d
WebSocket Support :p2c, after p2b, 2d
Integration Tests :p2d, after p2c, 2d
section Phase 3
Transaction Tracing :p3, after p2, 2w
Protocol Buffer Extension :p3a, after p2, 2d
PeerImp Instrumentation :p3b, after p3a, 3d
Relay Context Propagation :p3c, after p3b, 3d
Multi-node Tests :p3d, after p3c, 2d
section Phase 4
Consensus Tracing :p4, after p3, 2w
Consensus Round Spans :p4a, after p3, 3d
Proposal Handling :p4b, after p4a, 3d
Validation Tests :p4c, after p4b, 4d
section Phase 5
Documentation & Deploy :p5, after p4, 1w
section Phase 6
StatsD Metrics Bridge :p6, after p5, 1w
section Phase 7
Native OTel Metrics :p7, after p6, 2w
section Phase 8
Log-Trace Correlation :p8, after p7, 1w
```
---
## 6.2 Phase 1: Core Infrastructure (Weeks 1-2)
**Objective**: Establish foundational telemetry infrastructure
### Tasks
| Task | Description | Effort | Risk |
| ---- | ----------------------------------------------------- | ------ | ------ |
| 1.1 | Add OpenTelemetry C++ SDK to Conan/CMake | 2d | Low |
| 1.2 | Implement `Telemetry` interface and factory | 2d | Low |
| 1.3 | Implement `SpanGuard` RAII wrapper | 1d | Low |
| 1.4 | Implement configuration parser | 1d | Low |
| 1.5 | Integrate into `ApplicationImp` | 1d | Medium |
| 1.6 | Add conditional compilation (`XRPL_ENABLE_TELEMETRY`) | 1d | Low |
| 1.7 | Create `NullTelemetry` no-op implementation | 0.5d | Low |
| 1.8 | Unit tests for core infrastructure | 1.5d | Low |
**Total Effort**: 10 days (2 developers)
### Exit Criteria
- [ ] OpenTelemetry SDK compiles and links
- [ ] Telemetry can be enabled/disabled via config
- [ ] Basic span creation works
- [ ] No performance regression when disabled
- [ ] Unit tests passing
---
## 6.3 Phase 2: RPC Tracing (Weeks 3-4)
**Objective**: Complete tracing for all RPC operations
### Tasks
| Task | Description | Effort | Risk |
| ---- | -------------------------------------------------- | ------ | ------ |
| 2.1 | Implement W3C Trace Context HTTP header extraction | 1d | Low |
| 2.2 | Instrument `ServerHandler::onRequest()` | 1d | Low |
| 2.3 | Instrument `RPCHandler::doCommand()` | 2d | Medium |
| 2.4 | Add RPC-specific attributes | 1d | Low |
| 2.5 | Instrument WebSocket handler | 1d | Medium |
| 2.6 | Integration tests for RPC tracing | 2d | Low |
| 2.7 | Performance benchmarks | 1d | Low |
| 2.8 | Documentation | 1d | Low |
**Total Effort**: 10 days
### Exit Criteria
- [ ] All RPC commands traced
- [ ] Trace context propagates from HTTP headers
- [ ] WebSocket and HTTP both instrumented
- [ ] <1ms overhead per RPC call
- [ ] Integration tests passing
---
## 6.4 Phase 3: Transaction Tracing (Weeks 5-6)
**Objective**: Trace transaction lifecycle across network
### Tasks
| Task | Description | Effort | Risk |
| ---- | --------------------------------------------- | ------ | ------ |
| 3.1 | Define `TraceContext` Protocol Buffer message | 1d | Low |
| 3.2 | Implement protobuf context serialization | 1d | Low |
| 3.3 | Instrument `PeerImp::handleTransaction()` | 2d | Medium |
| 3.4 | Instrument `NetworkOPs::submitTransaction()` | 1d | Medium |
| 3.5 | Instrument HashRouter integration | 1d | Medium |
| 3.6 | Implement relay context propagation | 2d | High |
| 3.7 | Integration tests (multi-node) | 2d | Medium |
| 3.8 | Performance benchmarks | 1d | Low |
**Total Effort**: 11 days
### Exit Criteria
- [ ] Transaction traces span across nodes
- [ ] Trace context in Protocol Buffer messages
- [ ] HashRouter deduplication visible in traces
- [ ] Multi-node integration tests passing
- [ ] <5% overhead on transaction throughput
---
## 6.5 Phase 4: Consensus Tracing (Weeks 7-8)
**Objective**: Full observability into consensus rounds
### Tasks
| Task | Description | Effort | Risk |
| ---- | ---------------------------------------------- | ------ | ------ |
| 4.1 | Instrument `RCLConsensusAdaptor::startRound()` | 1d | Medium |
| 4.2 | Instrument phase transitions | 2d | Medium |
| 4.3 | Instrument proposal handling | 2d | High |
| 4.4 | Instrument validation handling | 1d | Medium |
| 4.5 | Add consensus-specific attributes | 1d | Low |
| 4.6 | Correlate with transaction traces | 1d | Medium |
| 4.7 | Multi-validator integration tests | 2d | High |
| 4.8 | Performance validation | 1d | Medium |
**Total Effort**: 11 days
### Spans Produced
| Span Name | Location | Attributes |
| --------------------------- | ---------------------- | ----------------------------------------------------------------------------------------------------------------------------- |
| `consensus.proposal.send` | `RCLConsensus.cpp:177` | `xrpl.consensus.round` |
| `consensus.ledger_close` | `RCLConsensus.cpp:282` | `xrpl.consensus.ledger.seq`, `xrpl.consensus.mode` |
| `consensus.accept` | `RCLConsensus.cpp:395` | `xrpl.consensus.proposers`, `xrpl.consensus.round_time_ms` |
| `consensus.accept.apply` | `RCLConsensus.cpp:453` | `xrpl.consensus.close_time`, `close_time_correct`, `close_resolution_ms`, `state`, `proposing`, `round_time_ms`, `ledger.seq` |
| `consensus.validation.send` | `RCLConsensus.cpp:753` | `xrpl.consensus.proposing` |
### Exit Criteria
- [ ] Complete consensus round traces
- [ ] Phase transitions visible
- [ ] Proposals and validations traced
- [ ] Close time agreement tracked (per `avCT_CONSENSUS_PCT`)
- [ ] No impact on consensus timing
- [ ] Multi-validator test network validated
---
## 6.6 Phase 5: Documentation & Deployment (Week 9)
**Objective**: Production readiness
### Tasks
| Task | Description | Effort | Risk |
| ---- | ----------------------------- | ------ | ---- |
| 5.1 | Operator runbook | 1d | Low |
| 5.2 | Grafana dashboards | 1d | Low |
| 5.3 | Alert definitions | 0.5d | Low |
| 5.4 | Collector deployment examples | 0.5d | Low |
| 5.5 | Developer documentation | 1d | Low |
| 5.6 | Training materials | 0.5d | Low |
| 5.7 | Final integration testing | 0.5d | Low |
**Total Effort**: 5 days
---
## 6.7 Phase 6: StatsD Metrics Integration (Week 10)
**Objective**: Bridge rippled's existing `beast::insight` StatsD metrics into the OpenTelemetry collection pipeline, exposing 300+ pre-existing metrics alongside span-derived RED metrics in Prometheus/Grafana.
### Background
rippled has a mature metrics framework (`beast::insight`) that emits StatsD-format metrics over UDP. These metrics cover node health, peer networking, RPC performance, job queue, and overlay traffic data that **does not** overlap with the span-based instrumentation from Phases 1-5. By adding a StatsD receiver to the OTel Collector, both metric sources converge in Prometheus.
### Metric Inventory
| Category | Group | Type | Count | Key Metrics |
| --------------- | ------------------ | ------------- | ---------- | ------------------------------------------------------ |
| Node State | `State_Accounting` | Gauge | 10 | `*_duration`, `*_transitions` per operating mode |
| Ledger | `LedgerMaster` | Gauge | 2 | `Validated_Ledger_Age`, `Published_Ledger_Age` |
| Ledger Fetch | | Counter | 1 | `ledger_fetches` |
| Ledger History | `ledger.history` | Counter | 1 | `mismatch` |
| RPC | `rpc` | Counter+Event | 3 | `requests`, `time` (histogram), `size` (histogram) |
| Job Queue | | Gauge+Event | 1 + 2×N | `job_count`, per-job `{name}` and `{name}_q` |
| Peer Finder | `Peer_Finder` | Gauge | 2 | `Active_Inbound_Peers`, `Active_Outbound_Peers` |
| Overlay | `Overlay` | Gauge | 1 | `Peer_Disconnects` |
| Overlay Traffic | per-category | Gauge | 4×57 = 228 | `Bytes_In/Out`, `Messages_In/Out` per traffic category |
| Pathfinding | | Event | 2 | `pathfind_fast`, `pathfind_full` (histograms) |
| I/O | | Event | 1 | `ios_latency` (histogram) |
| Resource Mgr | | Meter | 2 | `warn`, `drop` (rate counters) |
| Caches | per-cache | Gauge | 2×N | `{cache}.size`, `{cache}.hit_rate` |
**Total**: ~255+ unique metrics (plus dynamic job-type and cache metrics)
### Tasks
| Task | Description | Effort | Risk |
| ---- | --------------------------------------------------------------------------------------------------------------- | ------ | ---- |
| 6.1 | **DEFERRED** Fix Meter wire format (`\|m` `\|c`) in StatsDCollector.cpp breaking change, tracked separately | 0.5d | Low |
| 6.2 | Add `statsd` receiver to OTel Collector config | 0.5d | Low |
| 6.3 | Expose UDP port 8125 in docker-compose.yml | 0.1d | Low |
| 6.4 | Add `[insight]` config to integration test node configs | 0.5d | Low |
| 6.5 | Create "Node Health" Grafana dashboard (8 panels) | 1d | Low |
| 6.6 | Create "Network Traffic" Grafana dashboard (8 panels) | 1d | Low |
| 6.7 | Create "RPC & Pathfinding (StatsD)" Grafana dashboard (8 panels) | 1d | Low |
| 6.8 | Update integration test to verify StatsD metrics in Prometheus | 0.5d | Low |
| 6.9 | Update TESTING.md and telemetry-runbook.md | 0.5d | Low |
**Total Effort**: 5.6 days
### Wire Format Fix (Task 6.1) — DEFERRED
The `StatsDMeterImpl` in `StatsDCollector.cpp:706` sends metrics with `|m` suffix, which is non-standard StatsD. The OTel StatsD receiver silently drops these. Fix: change `|m` to `|c` (counter), which is semantically correct since meters are increment-only counters. Only 2 metrics are affected (`warn`, `drop` in Resource Manager).
**Status**: Deferred as a separate change this is a breaking change for any StatsD backend that previously consumed the custom `|m` type. The Resource Warnings and Resource Drops dashboard panels will show no data until this fix is applied.
### New Grafana Dashboards
**Node Health** (`statsd-node-health.json`, uid: `rippled-statsd-node-health`):
- Validated/Published Ledger Age, Operating Mode Duration/Transitions, I/O Latency, Job Queue Depth, Ledger Fetch Rate, Ledger History Mismatches
**Network Traffic** (`statsd-network-traffic.json`, uid: `rippled-statsd-network`):
- Active Inbound/Outbound Peers, Peer Disconnects, Total Bytes/Messages In/Out, Transaction/Proposal/Validation Traffic, Top Traffic Categories
**RPC & Pathfinding (StatsD)** (`statsd-rpc-pathfinding.json`, uid: `rippled-statsd-rpc`):
- RPC Request Rate, Response Time p95/p50, Response Size p95/p50, Pathfinding Fast/Full Duration, Resource Warnings/Drops, Response Time Heatmap
### Exit Criteria
- [ ] StatsD metrics visible in Prometheus (`curl localhost:9090/api/v1/query?query=rippled_LedgerMaster_Validated_Ledger_Age`)
- [ ] All 3 new Grafana dashboards load without errors
- [ ] Integration test verifies at least core StatsD metrics (ledger age, peer counts, RPC requests)
- [ ] ~~Meter metrics (`warn`, `drop`) flow correctly after `|m` → `|c` fix~~ DEFERRED (breaking change, tracked separately; resolved by Phase 7's OTel Counter mapping)
---
## 6.8 Phase 7: Native OTel Metrics Migration (Weeks 11-12)
**Objective**: Replace `StatsDCollector` with a native OpenTelemetry Metrics SDK implementation behind the existing `beast::insight::Collector` interface, eliminating the StatsD UDP dependency and unifying traces and metrics into a single OTLP pipeline.
### Motivation: Why Migrate from StatsD to Native OTel Metrics
The Phase 6 StatsD bridge was a pragmatic first step, but it retains inherent limitations that native OTel export resolves.
#### What We Gain
1. **Unified telemetry pipeline** Traces and metrics export via the same OTLP/HTTP endpoint to the same OTel Collector. One protocol, one endpoint, one config. Eliminates the split-brain architecture of "OTLP for traces, StatsD UDP for metrics."
2. **Eliminates StatsD UDP limitations** StatsD is fire-and-forget over UDP with no delivery guarantees, no backpressure, 1472-byte MTU packet fragmentation, and text-based encoding overhead. OTLP uses HTTP/gRPC with retries, binary protobuf encoding, and connection-level flow control.
3. **Fixes the `|m` wire format issue** The `StatsDMeterImpl` uses non-standard `|m` StatsD type that the OTel StatsD receiver silently drops. Native OTel counters eliminate this problem entirely (Phase 6 Task 6.1 DEFERRED becomes resolved).
4. **Richer metric semantics** OTel Metrics SDK supports explicit histogram bucket boundaries, exemplars (linking metrics to traces), resource attributes, and metric views. StatsD has no concept of these.
5. **Removes infrastructure dependency** No more StatsD receiver needed in the OTel Collector. One less receiver to configure, monitor, and debug. Simplifies the collector YAML.
6. **Metric-to-trace correlation** OTel metrics and traces share the same resource attributes (service.name, service.instance.id). Grafana can link from a metric spike directly to the traces that caused it impossible with StatsD-sourced metrics.
7. **Production-grade export** OTel's `PeriodicMetricReader` provides configurable export intervals, batch sizes, timeout handling, and graceful shutdown all built into the SDK rather than hand-rolled in `StatsDCollectorImp`.
#### What We Lose
1. **StatsD ecosystem compatibility** Operators using external StatsD-compatible backends (Datadog Agent, Graphite, Telegraph) will need to switch to OTLP-compatible backends or keep `server=statsd` as a fallback.
2. **Simplicity of UDP** StatsD's UDP fire-and-forget model is dead simple and has zero connection management. OTLP/HTTP requires a TCP connection, TLS negotiation (in production), and retry logic. The OTel SDK handles this, but it's more moving parts.
3. **Slightly higher memory** OTel SDK maintains internal aggregation state for metrics before export. StatsD just formats and sends strings. Expected overhead: ~1-2 MB additional for metric state.
4. **Dependency on OTel C++ Metrics SDK stability** The Metrics SDK is GA since 1.0 and on version 1.18.0, but it's less battle-tested than the tracing SDK in the C++ ecosystem.
#### Decision
The gains (unified pipeline, delivery guarantees, metric-trace correlation, simpler collector config) significantly outweigh the losses. `StatsDCollector` is retained as a fallback via `server=statsd` for operators who need StatsD ecosystem compatibility during the transition period.
### Architecture
#### Class Hierarchy (after Phase 7)
```
beast::insight::Collector (abstract interface — unchanged)
|
+-- StatsDCollector (existing — retained as fallback, deprecated)
| +-- StatsDCounterImpl -> StatsD |c over UDP
| +-- StatsDGaugeImpl -> StatsD |g over UDP
| +-- StatsDMeterImpl -> StatsD |m over UDP (non-standard)
| +-- StatsDEventImpl -> StatsD |ms over UDP
| +-- StatsDHookImpl -> 1s periodic callback
|
+-- NullCollector (existing — unchanged, used when disabled)
| +-- NullCounterImpl -> no-op
| +-- NullGaugeImpl -> no-op
| +-- NullMeterImpl -> no-op
| +-- NullEventImpl -> no-op
| +-- NullHookImpl -> no-op
|
+-- OTelCollector (NEW — Phase 7)
+-- OTelCounterImpl -> otel::Counter<int64_t>
+-- OTelGaugeImpl -> otel::ObservableGauge<uint64_t>
+-- OTelMeterImpl -> otel::Counter<uint64_t>
+-- OTelEventImpl -> otel::Histogram<double>
+-- OTelHookImpl -> 1s periodic callback (same pattern)
```
#### Data Flow (after Phase 7)
```mermaid
graph LR
subgraph rippledNode["rippled Node"]
A["Trace Macros<br/>XRPL_TRACE_SPAN"]
B["beast::insight<br/>OTelCollector"]
end
subgraph collector["OTel Collector :4317 / :4318"]
direction TB
R1["OTLP Receiver<br/>:4317 gRPC | :4318 HTTP"]
BP["Batch Processor"]
SM["SpanMetrics Connector"]
R1 --> BP
BP --> SM
end
subgraph backends["Trace Backends"]
D["Jaeger / Tempo"]
end
subgraph metrics["Metrics Stack"]
E["Prometheus :9090<br/>scrapes :8889<br/>span-derived + native OTel metrics"]
end
subgraph viz["Visualization"]
F["Grafana :3000"]
end
A -->|"OTLP/HTTP :4318<br/>(traces)"| R1
B -->|"OTLP/HTTP :4318<br/>(metrics)"| R1
BP -->|"OTLP/gRPC"| D
SM -->|"RED metrics"| E
R1 -->|"rippled_* metrics<br/>(native OTLP)"| E
E --> F
D --> F
style A fill:#4a90d9,color:#fff,stroke:#2a6db5
style B fill:#d9534f,color:#fff,stroke:#b52d2d
style R1 fill:#5cb85c,color:#fff,stroke:#3d8b3d
style BP fill:#449d44,color:#fff,stroke:#2d6e2d
style SM fill:#449d44,color:#fff,stroke:#2d6e2d
style D fill:#f0ad4e,color:#000,stroke:#c78c2e
style E fill:#f0ad4e,color:#000,stroke:#c78c2e
style F fill:#5bc0de,color:#000,stroke:#3aa8c1
style rippledNode fill:#1a2633,color:#ccc,stroke:#4a90d9
style collector fill:#1a3320,color:#ccc,stroke:#5cb85c
style backends fill:#332a1a,color:#ccc,stroke:#f0ad4e
style metrics fill:#332a1a,color:#ccc,stroke:#f0ad4e
style viz fill:#1a2d33,color:#ccc,stroke:#5bc0de
```
**Key change**: StatsD receiver removed from collector. Both traces and metrics enter via OTLP receiver on the same port.
#### Configuration
```ini
# [insight] section — new "otel" server option
[insight]
server=otel # NEW: uses OTel OTLP metrics exporter
prefix=rippled # metric name prefix (preserved)
# Endpoint and auth inherited from [telemetry] section:
[telemetry]
enabled=1
endpoint=http://localhost:4318/v1/traces
```
The `OTelCollector` reads the OTLP endpoint from `[telemetry]` config (replacing `/v1/traces` with `/v1/metrics` for the metrics exporter). No additional config keys needed.
**Backward compatibility**: `server=statsd` continues to work exactly as before.
See [Phase7_taskList.md](./Phase7_taskList.md) for detailed per-task breakdown.
### Instrument Type Mapping
| beast::insight | OTel Metrics SDK | Rationale |
| ---------------------- | -------------------------------- | ---------------------------------------------------------------- |
| Counter (int64, `\|c`) | `Counter<int64_t>` | Direct 1:1 mapping |
| Gauge (uint64, `\|g`) | `ObservableGauge<uint64_t>` | Async callback matches existing Hook polling pattern |
| Meter (uint64, `\|m`) | `Counter<uint64_t>` | Fixes non-standard wire format; meters are semantically counters |
| Event (ms, `\|ms`) | `Histogram<double>` | Duration distributions with explicit bucket boundaries |
| Hook (1s callback) | `PeriodicMetricReader` alignment | Same 1s collection interval |
### Tasks
| Task | Description | Effort | Risk |
| ---- | ------------------------------------------------------------------------- | ------ | ------ |
| 7.1 | Add OTel Metrics SDK to build deps (conan/cmake) | 0.5d | Low |
| 7.2 | Implement `OTelCollector` class (~400-500 lines) | 3d | Medium |
| 7.3 | Update `CollectorManager` add `server=otel` | 0.5d | Low |
| 7.4 | Update OTel Collector YAML (add metrics pipeline, remove StatsD receiver) | 0.5d | Low |
| 7.5 | Preserve metric names in Prometheus (naming strategy) | 1d | Medium |
| 7.6 | Update Grafana dashboards (if names change) | 1d | Low |
| 7.7 | Update integration tests | 0.5d | Low |
| 7.8 | Update documentation (runbook, reference docs) | 1d | Low |
**Total Effort**: 8 days
### Exit Criteria
- [ ] All 255+ metrics visible in Prometheus via OTLP pipeline (no StatsD receiver)
- [ ] `server=otel` is the default in development docker-compose
- [ ] `server=statsd` still works as a fallback
- [ ] Existing Grafana dashboards display data correctly
- [ ] Integration test passes with OTLP-only metrics pipeline
- [ ] No performance regression vs StatsD baseline (< 1% CPU overhead)
- [ ] Deferred Task 6.1 (`|m` wire format) no longer relevant
---
## 6.8.1 Phase 8: Log-Trace Correlation and Centralized Log Ingestion (Week 13)
### Motivation
rippled's `beast::Journal` logs and OpenTelemetry traces are currently two disjoint observability signals. When investigating an issue, operators must manually correlate timestamps between log files and Jaeger/Tempo traces. Phase 8 bridges this gap by injecting trace context (`trace_id`, `span_id`) into every log line emitted within an active span, and ingesting those logs into Grafana Loki via the OTel Collector's filelog receiver.
#### Gains
1. **One-click trace-to-log navigation** Click a trace in Tempo/Jaeger and immediately see the corresponding log lines in Loki, filtered by `trace_id`.
2. **Reverse lookup (log-to-trace)** Loki derived fields make `trace_id` values clickable links back to Tempo.
3. **Unified observability** All three pillars (traces, metrics, logs) flow through the same OTel Collector pipeline and are visible in a single Grafana instance.
4. **Zero new dependencies in rippled** Uses existing OTel SDK headers (`GetSpan`, `GetContext`) already linked in Phase 1.
5. **Negligible overhead** `GetSpan()` + `GetContext()` are thread-local reads (<10ns/call). At ~1000 JLOG calls/min, this adds <10us/min.
#### Losses / Risks
1. **Log format change** Existing log parsers that rely on a fixed format will need updating to handle the optional `trace_id=... span_id=...` fields.
2. **Loki resource usage** Log ingestion adds storage and memory overhead to the observability stack (mitigated by retention policies).
3. **Filelog receiver complexity** The regex parser must be kept in sync with the log format; a format change in `Logs::format()` could break parsing.
#### Decision
The correlation value far outweighs the risks. The log format change is backward-compatible (fields are appended only when a span is active), and the filelog receiver regex is straightforward to maintain.
### Architecture
Phase 8 has two independent sub-phases that can be developed in parallel:
- **Phase 8a (code change)**: Modify `Logs::format()` in `src/libxrpl/basics/Log.cpp` to append `trace_id=<hex32> span_id=<hex16>` when the current thread has an active OTel span. Guarded by `#ifdef XRPL_ENABLE_TELEMETRY`.
- **Phase 8b (infra only)**: Add Loki to the Docker Compose stack, configure the OTel Collector's `filelog` receiver to tail rippled's log file, parse out structured fields (timestamp, partition, severity, trace_id, span_id, message), and export to Loki via OTLP. Configure Grafana TempoLoki bidirectional linking.
#### Trace ID Injection Flow
```mermaid
flowchart LR
subgraph rippled["rippled process"]
JLOG["JLOG(j.info())"]
Format["Logs::format()"]
OTelCtx["OTel Context<br/>(thread-local)"]
JLOG --> Format
OTelCtx -.->|"GetSpan()→GetContext()"| Format
end
subgraph output["Log Output"]
LogLine["2024-01-15T10:30:45.123Z<br/>LedgerMaster:NFO<br/>trace_id=abc123...<br/>span_id=def456...<br/>Validated ledger 42"]
end
Format --> LogLine
style rippled fill:#1a237e,stroke:#0d1642,color:#fff
style output fill:#1b5e20,stroke:#0d3d14,color:#fff
style JLOG fill:#283593,stroke:#1a237e,color:#fff
style Format fill:#283593,stroke:#1a237e,color:#fff
style OTelCtx fill:#283593,stroke:#1a237e,color:#fff
style LogLine fill:#2e7d32,stroke:#1b5e20,color:#fff
```
#### Loki Ingestion Pipeline
```mermaid
flowchart LR
subgraph collector["OTel Collector"]
FR["filelog receiver<br/>tails debug.log"]
RP["regex_parser<br/>extracts trace_id,<br/>span_id, severity"]
BP["batch processor"]
LE["otlp/loki exporter"]
FR --> RP --> BP --> LE
end
LogFile["rippled<br/>debug.log"] --> FR
LE --> Loki["Grafana Loki<br/>:3100"]
Loki <-->|"derivedFields ↔<br/>tracesToLogs"| Tempo["Grafana Tempo"]
style collector fill:#e65100,stroke:#bf360c,color:#fff
style FR fill:#f57c00,stroke:#e65100,color:#fff
style RP fill:#f57c00,stroke:#e65100,color:#fff
style BP fill:#f57c00,stroke:#e65100,color:#fff
style LE fill:#f57c00,stroke:#e65100,color:#fff
style LogFile fill:#1a237e,stroke:#0d1642,color:#fff
style Loki fill:#4a148c,stroke:#2e0d57,color:#fff
style Tempo fill:#4a148c,stroke:#2e0d57,color:#fff
```
### Tasks
| Task | Description | Effort | Risk |
| ---- | ---------------------------------------------- | ------ | ------ |
| 8.1 | Inject trace_id into Logs::format() | 1d | Low |
| 8.2 | Add Loki to Docker Compose stack | 0.5d | Low |
| 8.3 | Add filelog receiver to OTel Collector | 1d | Medium |
| 8.4 | Configure Grafana trace-to-log correlation | 0.5d | Low |
| 8.5 | Update integration tests | 0.5d | Low |
| 8.6 | Update documentation (runbook, reference docs) | 1d | Low |
**Total Effort**: 4.5 days
**Parallel work**: Task 8.2 (Loki infra) can run in parallel with Task 8.1 (code change). Tasks 8.38.6 are sequential.
### Exit Criteria
- [ ] Log lines within active spans contain `trace_id=<hex> span_id=<hex>`
- [ ] Log lines outside spans have no trace context (no empty fields)
- [ ] Loki ingests rippled logs via OTel Collector filelog receiver
- [ ] Grafana Tempo Loki one-click correlation works
- [ ] Grafana Loki Tempo reverse lookup works via derived field
- [ ] Integration test verifies trace_id presence in logs
- [ ] No performance regression from trace_id injection (< 0.1% overhead)
---
## 6.9 Risk Assessment
```mermaid
quadrantChart
title Risk Assessment Matrix
x-axis Low Impact --> High Impact
y-axis Low Likelihood --> High Likelihood
quadrant-1 Monitor Closely
quadrant-2 Mitigate Immediately
quadrant-3 Accept Risk
quadrant-4 Plan Mitigation
SDK Compatibility: [0.25, 0.2]
Protocol Changes: [0.75, 0.65]
Performance Overhead: [0.65, 0.45]
Context Propagation: [0.5, 0.5]
Memory Leaks: [0.8, 0.2]
```
### Risk Details
| Risk | Likelihood | Impact | Mitigation |
| ------------------------------------ | ---------- | ------ | --------------------------------------- |
| Protocol changes break compatibility | Medium | High | Use high field numbers, optional fields |
| Performance overhead unacceptable | Medium | Medium | Sampling, conditional compilation |
| Context propagation complexity | Medium | Medium | Phased rollout, extensive testing |
| SDK compatibility issues | Low | Medium | Pin SDK version, fallback to no-op |
| Memory leaks in long-running nodes | Low | High | Memory profiling, bounded queues |
---
## 6.10 Success Metrics
| Metric | Target | Measurement |
| ------------------------ | ------------------------------ | --------------------- |
| Trace coverage | >95% of transactions | Sampling verification |
| CPU overhead | <3% | Benchmark tests |
| Memory overhead | <5 MB | Memory profiling |
| Latency impact (p99) | <2% | Performance tests |
| Trace completeness | >99% spans with required attrs | Validation script |
| Cross-node trace linkage | >90% of multi-hop transactions | Integration tests |
---
## 6.11 Effort Summary
<div align="center">
```mermaid
%%{init: {'pie': {'textPosition': 0.75}}}%%
pie showData
"Phase 1: Core Infrastructure" : 10
"Phase 2: RPC Tracing" : 10
"Phase 3: Transaction Tracing" : 11
"Phase 4: Consensus Tracing" : 11
"Phase 5: Documentation" : 5
```
**Total Effort Distribution (47 developer-days)**
</div>
### Resource Requirements
| Phase | Developers | Duration | Total Effort |
| --------- | ---------- | ----------- | ------------ |
| 1 | 2 | 2 weeks | 10 days |
| 2 | 1-2 | 2 weeks | 10 days |
| 3 | 2 | 2 weeks | 11 days |
| 4 | 2 | 2 weeks | 11 days |
| 5 | 1 | 1 week | 5 days |
| **Total** | **2** | **9 weeks** | **47 days** |
---
## 6.12 Quick Wins and Crawl-Walk-Run Strategy
This section outlines a prioritized approach to maximize ROI with minimal initial investment.
### 6.12.1 Crawl-Walk-Run Overview
<div align="center">
```mermaid
flowchart TB
subgraph crawl["🐢 CRAWL (Week 1-2)"]
direction LR
c1[Core SDK Setup] ~~~ c2[RPC Tracing Only] ~~~ c3[Single Node]
end
subgraph walk["🚶 WALK (Week 3-5)"]
direction LR
w1[Transaction Tracing] ~~~ w2[Cross-Node Context] ~~~ w3[Basic Dashboards]
end
subgraph run["🏃 RUN (Week 6-9)"]
direction LR
r1[Consensus Tracing] ~~~ r2[Full Correlation] ~~~ r3[Production Deploy]
end
crawl --> walk --> run
style crawl fill:#1b5e20,stroke:#0d3d14,color:#fff
style walk fill:#bf360c,stroke:#8c2809,color:#fff
style run fill:#0d47a1,stroke:#082f6a,color:#fff
style c1 fill:#1b5e20,stroke:#0d3d14,color:#fff
style c2 fill:#1b5e20,stroke:#0d3d14,color:#fff
style c3 fill:#1b5e20,stroke:#0d3d14,color:#fff
style w1 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style w2 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style w3 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style r1 fill:#0d47a1,stroke:#082f6a,color:#fff
style r2 fill:#0d47a1,stroke:#082f6a,color:#fff
style r3 fill:#0d47a1,stroke:#082f6a,color:#fff
```
</div>
### 6.12.2 Quick Wins (Immediate Value)
| Quick Win | Effort | Value | When to Deploy |
| ------------------------------ | -------- | ------ | -------------- |
| **RPC Command Tracing** | 2 days | High | Week 2 |
| **RPC Latency Histograms** | 0.5 days | High | Week 2 |
| **Error Rate Dashboard** | 0.5 days | Medium | Week 2 |
| **Transaction Submit Tracing** | 1 day | High | Week 3 |
| **Consensus Round Duration** | 1 day | Medium | Week 6 |
### 6.12.3 CRAWL Phase (Weeks 1-2)
**Goal**: Get basic tracing working with minimal code changes.
**What You Get**:
- RPC request/response traces for all commands
- Latency breakdown per RPC command
- Error visibility with stack traces
- Basic Grafana dashboard
**Code Changes**: ~15 lines in `ServerHandler.cpp`, ~40 lines in new telemetry module
**Why Start Here**:
- RPC is the lowest-risk, highest-visibility component
- Immediate value for debugging client issues
- No cross-node complexity
- Single file modification to existing code
### 6.12.4 WALK Phase (Weeks 3-5)
**Goal**: Add transaction lifecycle tracing across nodes.
**What You Get**:
- End-to-end transaction traces from submit to relay
- Cross-node correlation (see transaction path)
- HashRouter deduplication visibility
- Relay latency metrics
**Code Changes**: ~120 lines across 4 files, plus protobuf extension
**Why Do This Second**:
- Builds on RPC tracing (transactions submitted via RPC)
- Moderate complexity (requires context propagation)
- High value for debugging transaction issues
### 6.12.5 RUN Phase (Weeks 6-9)
**Goal**: Full observability including consensus.
**What You Get**:
- Complete consensus round visibility
- Phase transition timing
- Validator proposal tracking
- Full end-to-end traces (client → RPC → TX → consensus → ledger)
**Code Changes**: ~100 lines across 3 consensus files
**Why Do This Last**:
- Highest complexity (consensus is critical path)
- Requires thorough testing
- Lower relative value (consensus issues are rarer)
### 6.12.6 ROI Prioritization Matrix
```mermaid
quadrantChart
title Implementation ROI Matrix
x-axis Low Effort --> High Effort
y-axis Low Value --> High Value
quadrant-1 Quick Wins - Do First
quadrant-2 Major Projects - Plan Carefully
quadrant-3 Nice to Have - Optional
quadrant-4 Time Sinks - Avoid
RPC Tracing: [0.15, 0.9]
TX Submit Trace: [0.25, 0.85]
TX Relay Trace: [0.5, 0.8]
Consensus Trace: [0.7, 0.75]
Peer Message Trace: [0.85, 0.3]
Ledger Acquire: [0.55, 0.5]
```
---
## 6.13 Definition of Done
Clear, measurable criteria for each phase.
### 6.13.1 Phase 1: Core Infrastructure
| Criterion | Measurement | Target |
| --------------- | ---------------------------------------------------------- | ---------------------------- |
| SDK Integration | `cmake --build` succeeds with `-DXRPL_ENABLE_TELEMETRY=ON` | ✅ Compiles |
| Runtime Toggle | `enabled=0` produces zero overhead | <0.1% CPU difference |
| Span Creation | Unit test creates and exports span | Span appears in Jaeger |
| Configuration | All config options parsed correctly | Config validation tests pass |
| Documentation | Developer guide exists | PR approved |
**Definition of Done**: All criteria met, PR merged, no regressions in CI.
### 6.13.2 Phase 2: RPC Tracing
| Criterion | Measurement | Target |
| ------------------ | ---------------------------------- | -------------------------- |
| Coverage | All RPC commands instrumented | 100% of commands |
| Context Extraction | traceparent header propagates | Integration test passes |
| Attributes | Command, status, duration recorded | Validation script confirms |
| Performance | RPC latency overhead | <1ms p99 |
| Dashboard | Grafana dashboard deployed | Screenshot in docs |
**Definition of Done**: RPC traces visible in Jaeger/Tempo for all commands, dashboard shows latency distribution.
### 6.13.3 Phase 3: Transaction Tracing
| Criterion | Measurement | Target |
| ---------------- | ------------------------------- | ---------------------------------- |
| Local Trace | Submit validate TxQ traced | Single-node test passes |
| Cross-Node | Context propagates via protobuf | Multi-node test passes |
| Relay Visibility | relay_count attribute correct | Spot check 100 txs |
| HashRouter | Deduplication visible in trace | Duplicate txs show suppressed=true |
| Performance | TX throughput overhead | <5% degradation |
**Definition of Done**: Transaction traces span 3+ nodes in test network, performance within bounds.
### 6.13.4 Phase 4: Consensus Tracing
| Criterion | Measurement | Target |
| -------------------- | ----------------------------- | ------------------------- |
| Round Tracing | startRound creates root span | Unit test passes |
| Phase Visibility | All phases have child spans | Integration test confirms |
| Proposer Attribution | Proposer ID in attributes | Spot check 50 rounds |
| Timing Accuracy | Phase durations match PerfLog | <5% variance |
| No Consensus Impact | Round timing unchanged | Performance test passes |
**Definition of Done**: Consensus rounds fully traceable, no impact on consensus timing.
### 6.13.5 Phase 5: Production Deployment
| Criterion | Measurement | Target |
| ------------ | ---------------------------- | -------------------------- |
| Collector HA | Multiple collectors deployed | No single point of failure |
| Sampling | Tail sampling configured | 10% base + errors + slow |
| Retention | Data retained per policy | 7 days hot, 30 days warm |
| Alerting | Alerts configured | Error spike, high latency |
| Runbook | Operator documentation | Approved by ops team |
| Training | Team trained | Session completed |
**Definition of Done**: Telemetry running in production, operators trained, alerts active.
### 6.13.6 Success Metrics Summary
| Phase | Primary Metric | Secondary Metric | Deadline |
| ------- | ---------------------------- | --------------------------- | -------------- |
| Phase 1 | SDK compiles and runs | Zero overhead when disabled | End of Week 2 |
| Phase 2 | 100% RPC coverage | <1ms latency overhead | End of Week 4 |
| Phase 3 | Cross-node traces work | <5% throughput impact | End of Week 6 |
| Phase 4 | Consensus fully traced | No consensus timing impact | End of Week 8 |
| Phase 5 | Production deployment | Operators trained | End of Week 9 |
| Phase 6 | StatsD metrics in Prometheus | 3 dashboards operational | End of Week 10 |
| Phase 7 | All metrics via OTLP | No StatsD dependency | End of Week 12 |
| Phase 8 | trace_id in logs + Loki | TempoLoki correlation | End of Week 13 |
---
## 6.14 Recommended Implementation Order
Based on ROI analysis, implement in this exact order:
```mermaid
flowchart TB
subgraph week1["Week 1"]
t1[1. OpenTelemetry SDK<br/>Conan/CMake integration]
t2[2. Telemetry interface<br/>SpanGuard, config]
end
subgraph week2["Week 2"]
t3[3. RPC ServerHandler<br/>instrumentation]
t4[4. Basic Jaeger setup<br/>for testing]
end
subgraph week3["Week 3"]
t5[5. Transaction submit<br/>tracing]
t6[6. Grafana dashboard<br/>v1]
end
subgraph week4["Week 4"]
t7[7. Protobuf context<br/>extension]
t8[8. PeerImp tx.relay<br/>instrumentation]
end
subgraph week5["Week 5"]
t9[9. Multi-node<br/>integration tests]
t10[10. Performance<br/>benchmarks]
end
subgraph week6_8["Weeks 6-8"]
t11[11. Consensus<br/>instrumentation]
t12[12. Full integration<br/>testing]
end
subgraph week9["Week 9"]
t13[13. Production<br/>deployment]
t14[14. Documentation<br/>& training]
end
t1 --> t2 --> t3 --> t4
t4 --> t5 --> t6
t6 --> t7 --> t8
t8 --> t9 --> t10
t10 --> t11 --> t12
t12 --> t13 --> t14
style week1 fill:#1b5e20,stroke:#0d3d14,color:#fff
style week2 fill:#1b5e20,stroke:#0d3d14,color:#fff
style week3 fill:#bf360c,stroke:#8c2809,color:#fff
style week4 fill:#bf360c,stroke:#8c2809,color:#fff
style week5 fill:#bf360c,stroke:#8c2809,color:#fff
style week6_8 fill:#0d47a1,stroke:#082f6a,color:#fff
style week9 fill:#4a148c,stroke:#2e0d57,color:#fff
style t1 fill:#1b5e20,stroke:#0d3d14,color:#fff
style t2 fill:#1b5e20,stroke:#0d3d14,color:#fff
style t3 fill:#1b5e20,stroke:#0d3d14,color:#fff
style t4 fill:#1b5e20,stroke:#0d3d14,color:#fff
style t5 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style t6 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style t7 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style t8 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style t9 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style t10 fill:#ffe0b2,stroke:#ffcc80,color:#1e293b
style t11 fill:#0d47a1,stroke:#082f6a,color:#fff
style t12 fill:#0d47a1,stroke:#082f6a,color:#fff
style t13 fill:#4a148c,stroke:#2e0d57,color:#fff
style t14 fill:#4a148c,stroke:#2e0d57,color:#fff
```
---
_Previous: [Configuration Reference](./05-configuration-reference.md)_ | _Next: [Observability Backends](./07-observability-backends.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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# Observability Backend Recommendations
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Implementation Phases](./06-implementation-phases.md) | [Appendix](./08-appendix.md)
---
## 7.1 Development/Testing Backends
| Backend | Pros | Cons | Use Case |
| ---------- | ------------------- | ----------------- | ----------------- |
| **Jaeger** | Easy setup, good UI | Limited retention | Local dev, CI |
| **Zipkin** | Simple, lightweight | Basic features | Quick prototyping |
### Quick Start with Jaeger
```bash
# Start Jaeger with OTLP support
docker run -d --name jaeger \
-e COLLECTOR_OTLP_ENABLED=true \
-p 16686:16686 \
-p 4317:4317 \
-p 4318:4318 \
jaegertracing/all-in-one:latest
```
---
## 7.2 Production Backends
| Backend | Pros | Cons | Use Case |
| ----------------- | ----------------------------------------- | ------------------ | --------------------------- |
| **Grafana Tempo** | Cost-effective, Grafana integration | Newer project | Most production deployments |
| **Elastic APM** | Full observability stack, log correlation | Resource intensive | Existing Elastic users |
| **Honeycomb** | Excellent query, high cardinality | SaaS cost | Deep debugging needs |
| **Datadog APM** | Full platform, easy setup | SaaS cost | Enterprise with budget |
### Backend Selection Flowchart
```mermaid
flowchart TD
start[Select Backend] --> budget{Budget<br/>Constraints?}
budget -->|Yes| oss[Open Source]
budget -->|No| saas{Prefer<br/>SaaS?}
oss --> existing{Existing<br/>Stack?}
existing -->|Grafana| tempo[Grafana Tempo]
existing -->|Elastic| elastic[Elastic APM]
existing -->|None| tempo
saas -->|Yes| enterprise{Enterprise<br/>Support?}
saas -->|No| oss
enterprise -->|Yes| datadog[Datadog APM]
enterprise -->|No| honeycomb[Honeycomb]
tempo --> final[Configure Collector]
elastic --> final
honeycomb --> final
datadog --> final
style start fill:#0f172a,stroke:#020617,color:#fff
style budget fill:#334155,stroke:#1e293b,color:#fff
style oss fill:#1e293b,stroke:#0f172a,color:#fff
style existing fill:#334155,stroke:#1e293b,color:#fff
style saas fill:#334155,stroke:#1e293b,color:#fff
style enterprise fill:#334155,stroke:#1e293b,color:#fff
style final fill:#0f172a,stroke:#020617,color:#fff
style tempo fill:#1b5e20,stroke:#0d3d14,color:#fff
style elastic fill:#bf360c,stroke:#8c2809,color:#fff
style honeycomb fill:#0d47a1,stroke:#082f6a,color:#fff
style datadog fill:#4a148c,stroke:#2e0d57,color:#fff
```
---
## 7.3 Recommended Production Architecture
```mermaid
flowchart TB
subgraph validators["Validator Nodes"]
v1[rippled<br/>Validator 1]
v2[rippled<br/>Validator 2]
end
subgraph stock["Stock Nodes"]
s1[rippled<br/>Stock 1]
s2[rippled<br/>Stock 2]
end
subgraph collector["OTel Collector Cluster"]
c1[Collector<br/>DC1]
c2[Collector<br/>DC2]
end
subgraph backends["Storage Backends"]
tempo[(Grafana<br/>Tempo)]
elastic[(Elastic<br/>APM)]
archive[(S3/GCS<br/>Archive)]
end
subgraph ui["Visualization"]
grafana[Grafana<br/>Dashboards]
end
v1 -->|OTLP| c1
v2 -->|OTLP| c1
s1 -->|OTLP| c2
s2 -->|OTLP| c2
c1 --> tempo
c1 --> elastic
c2 --> tempo
c2 --> archive
tempo --> grafana
elastic --> grafana
style validators fill:#b71c1c,stroke:#7f1d1d,color:#ffffff
style stock fill:#0d47a1,stroke:#082f6a,color:#ffffff
style collector fill:#bf360c,stroke:#8c2809,color:#ffffff
style backends fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style ui fill:#4a148c,stroke:#2e0d57,color:#ffffff
```
---
## 7.4 Architecture Considerations
### 7.4.1 Collector Placement
| Strategy | Description | Pros | Cons |
| ------------- | -------------------- | ------------------------ | ----------------------- |
| **Sidecar** | Collector per node | Isolation, simple config | Resource overhead |
| **DaemonSet** | Collector per host | Shared resources | Complexity |
| **Gateway** | Central collector(s) | Centralized processing | Single point of failure |
**Recommendation**: Use **Gateway** pattern with regional collectors for rippled networks:
- One collector cluster per datacenter/region
- Tail-based sampling at collector level
- Multiple export destinations for redundancy
### 7.4.2 Sampling Strategy
```mermaid
flowchart LR
subgraph head["Head Sampling (Node)"]
hs[10% probabilistic]
end
subgraph tail["Tail Sampling (Collector)"]
ts1[Keep all errors]
ts2[Keep slow >5s]
ts3[Keep 10% rest]
end
head --> tail
ts1 --> final[Final Traces]
ts2 --> final
ts3 --> final
style head fill:#0d47a1,stroke:#082f6a,color:#fff
style tail fill:#1b5e20,stroke:#0d3d14,color:#fff
style hs fill:#0d47a1,stroke:#082f6a,color:#fff
style ts1 fill:#1b5e20,stroke:#0d3d14,color:#fff
style ts2 fill:#1b5e20,stroke:#0d3d14,color:#fff
style ts3 fill:#1b5e20,stroke:#0d3d14,color:#fff
style final fill:#bf360c,stroke:#8c2809,color:#fff
```
### 7.4.3 Data Retention
| Environment | Hot Storage | Warm Storage | Cold Archive |
| ----------- | ----------- | ------------ | ------------ |
| Development | 24 hours | N/A | N/A |
| Staging | 7 days | N/A | N/A |
| Production | 7 days | 30 days | many years |
---
## 7.5 Integration Checklist
- [ ] Choose primary backend (Tempo recommended for cost/features)
- [ ] Deploy collector cluster with high availability
- [ ] Configure tail-based sampling for error/latency traces
- [ ] Set up Grafana dashboards for trace visualization
- [ ] Configure alerts for trace anomalies
- [ ] Establish data retention policies
- [ ] Test trace correlation with logs and metrics
---
## 7.6 Grafana Dashboard Examples
Pre-built dashboards for rippled observability.
### 7.6.1 Consensus Health Dashboard
```json
{
"title": "rippled Consensus Health",
"uid": "rippled-consensus-health",
"tags": ["rippled", "consensus", "tracing"],
"panels": [
{
"title": "Consensus Round Duration",
"type": "timeseries",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"rippled\" && name=\"consensus.round\"} | avg(duration) by (resource.service.instance.id)"
}
],
"fieldConfig": {
"defaults": {
"unit": "ms",
"thresholds": {
"steps": [
{ "color": "green", "value": null },
{ "color": "yellow", "value": 4000 },
{ "color": "red", "value": 5000 }
]
}
}
},
"gridPos": { "h": 8, "w": 12, "x": 0, "y": 0 }
},
{
"title": "Phase Duration Breakdown",
"type": "barchart",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"rippled\" && name=~\"consensus.phase.*\"} | avg(duration) by (name)"
}
],
"gridPos": { "h": 8, "w": 12, "x": 12, "y": 0 }
},
{
"title": "Proposers per Round",
"type": "stat",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"rippled\" && name=\"consensus.round\"} | avg(span.xrpl.consensus.proposers)"
}
],
"gridPos": { "h": 4, "w": 6, "x": 0, "y": 8 }
},
{
"title": "Recent Slow Rounds (>5s)",
"type": "table",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"rippled\" && name=\"consensus.round\"} | duration > 5s"
}
],
"gridPos": { "h": 8, "w": 24, "x": 0, "y": 12 }
}
]
}
```
### 7.6.2 Node Overview Dashboard
```json
{
"title": "rippled Node Overview",
"uid": "rippled-node-overview",
"panels": [
{
"title": "Active Nodes",
"type": "stat",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"rippled\"} | count_over_time() by (resource.service.instance.id) | count()"
}
],
"gridPos": { "h": 4, "w": 4, "x": 0, "y": 0 }
},
{
"title": "Total Transactions (1h)",
"type": "stat",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"rippled\" && name=\"tx.receive\"} | count()"
}
],
"gridPos": { "h": 4, "w": 4, "x": 4, "y": 0 }
},
{
"title": "Error Rate",
"type": "gauge",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"rippled\" && status.code=error} | rate() / {resource.service.name=\"rippled\"} | rate() * 100"
}
],
"fieldConfig": {
"defaults": {
"unit": "percent",
"max": 10,
"thresholds": {
"steps": [
{ "color": "green", "value": null },
{ "color": "yellow", "value": 1 },
{ "color": "red", "value": 5 }
]
}
}
},
"gridPos": { "h": 4, "w": 4, "x": 8, "y": 0 }
},
{
"title": "Service Map",
"type": "nodeGraph",
"datasource": "Tempo",
"gridPos": { "h": 12, "w": 12, "x": 12, "y": 0 }
}
]
}
```
### 7.6.3 Alert Rules
```yaml
# grafana/provisioning/alerting/rippled-alerts.yaml
apiVersion: 1
groups:
- name: rippled-tracing-alerts
folder: rippled
interval: 1m
rules:
- uid: consensus-slow
title: Consensus Round Slow
condition: A
data:
- refId: A
datasourceUid: tempo
model:
queryType: traceql
query: '{resource.service.name="rippled" && name="consensus.round"} | avg(duration) > 5s'
for: 5m
annotations:
summary: Consensus rounds taking >5 seconds
description: "Consensus duration: {{ $value }}ms"
labels:
severity: warning
- uid: rpc-error-spike
title: RPC Error Rate Spike
condition: B
data:
- refId: B
datasourceUid: tempo
model:
queryType: traceql
query: '{resource.service.name="rippled" && name=~"rpc.command.*" && status.code=error} | rate() > 0.05'
for: 2m
annotations:
summary: RPC error rate >5%
labels:
severity: critical
- uid: tx-throughput-drop
title: Transaction Throughput Drop
condition: C
data:
- refId: C
datasourceUid: tempo
model:
queryType: traceql
query: '{resource.service.name="rippled" && name="tx.receive"} | rate() < 10'
for: 10m
annotations:
summary: Transaction throughput below threshold
labels:
severity: warning
```
---
## 7.7 PerfLog and Insight Correlation
How to correlate OpenTelemetry traces with existing rippled observability.
### 7.7.1 Correlation Architecture
```mermaid
flowchart TB
subgraph rippled["rippled Node"]
otel[OpenTelemetry<br/>Spans]
perflog[PerfLog<br/>JSON Logs]
insight[Beast Insight<br/>StatsD Metrics]
end
subgraph collectors["Data Collection"]
otelc[OTel Collector]
promtail[Promtail/Fluentd]
statsd[StatsD Exporter]
end
subgraph storage["Storage"]
tempo[(Tempo)]
loki[(Loki)]
prom[(Prometheus)]
end
subgraph grafana["Grafana"]
traces[Trace View]
logs[Log View]
metrics[Metrics View]
corr[Correlation<br/>Panel]
end
otel -->|OTLP| otelc --> tempo
perflog -->|JSON| promtail --> loki
insight -->|StatsD| statsd --> prom
tempo --> traces
loki --> logs
prom --> metrics
traces --> corr
logs --> corr
metrics --> corr
style rippled fill:#0d47a1,stroke:#082f6a,color:#fff
style collectors fill:#bf360c,stroke:#8c2809,color:#fff
style storage fill:#1b5e20,stroke:#0d3d14,color:#fff
style grafana fill:#4a148c,stroke:#2e0d57,color:#fff
style otel fill:#0d47a1,stroke:#082f6a,color:#fff
style perflog fill:#0d47a1,stroke:#082f6a,color:#fff
style insight fill:#0d47a1,stroke:#082f6a,color:#fff
style otelc fill:#bf360c,stroke:#8c2809,color:#fff
style promtail fill:#bf360c,stroke:#8c2809,color:#fff
style statsd fill:#bf360c,stroke:#8c2809,color:#fff
style tempo fill:#1b5e20,stroke:#0d3d14,color:#fff
style loki fill:#1b5e20,stroke:#0d3d14,color:#fff
style prom fill:#1b5e20,stroke:#0d3d14,color:#fff
style traces fill:#4a148c,stroke:#2e0d57,color:#fff
style logs fill:#4a148c,stroke:#2e0d57,color:#fff
style metrics fill:#4a148c,stroke:#2e0d57,color:#fff
style corr fill:#4a148c,stroke:#2e0d57,color:#fff
```
### 7.7.2 Correlation Fields
| Source | Field | Link To | Purpose |
| ----------- | --------------------------- | ------------- | -------------------------- |
| **Trace** | `trace_id` | Logs | Find log entries for trace |
| **Trace** | `xrpl.tx.hash` | Logs, Metrics | Find TX-related data |
| **Trace** | `xrpl.consensus.ledger.seq` | Logs | Find ledger-related logs |
| **PerfLog** | `trace_id` (new) | Traces | Jump to trace from log |
| **PerfLog** | `ledger_seq` | Traces | Find consensus trace |
| **Insight** | `exemplar.trace_id` | Traces | Jump from metric spike |
### 7.7.3 Example: Debugging a Slow Transaction
**Step 1: Find the trace**
```
# In Grafana Explore with Tempo
{resource.service.name="rippled" && span.xrpl.tx.hash="ABC123..."}
```
**Step 2: Get the trace_id from the trace view**
```
Trace ID: 4bf92f3577b34da6a3ce929d0e0e4736
```
**Step 3: Find related PerfLog entries**
```
# In Grafana Explore with Loki
{job="rippled"} |= "4bf92f3577b34da6a3ce929d0e0e4736"
```
**Step 4: Check Insight metrics for the time window**
```
# In Grafana with Prometheus
rate(rippled_tx_applied_total[1m])
@ timestamp_from_trace
```
### 7.7.4 Unified Dashboard Example
```json
{
"title": "rippled Unified Observability",
"uid": "rippled-unified",
"panels": [
{
"title": "Transaction Latency (Traces)",
"type": "timeseries",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"rippled\" && name=\"tx.receive\"} | histogram_over_time(duration)"
}
],
"gridPos": { "h": 6, "w": 8, "x": 0, "y": 0 }
},
{
"title": "Transaction Rate (Metrics)",
"type": "timeseries",
"datasource": "Prometheus",
"targets": [
{
"expr": "rate(rippled_tx_received_total[5m])",
"legendFormat": "{{ instance }}"
}
],
"fieldConfig": {
"defaults": {
"links": [
{
"title": "View traces",
"url": "/explore?left={\"datasource\":\"Tempo\",\"query\":\"{resource.service.name=\\\"rippled\\\" && name=\\\"tx.receive\\\"}\"}"
}
]
}
},
"gridPos": { "h": 6, "w": 8, "x": 8, "y": 0 }
},
{
"title": "Recent Logs",
"type": "logs",
"datasource": "Loki",
"targets": [
{
"expr": "{job=\"rippled\"} | json"
}
],
"gridPos": { "h": 6, "w": 8, "x": 16, "y": 0 }
},
{
"title": "Trace Search",
"type": "table",
"datasource": "Tempo",
"targets": [
{
"queryType": "traceql",
"query": "{resource.service.name=\"rippled\"}"
}
],
"fieldConfig": {
"overrides": [
{
"matcher": { "id": "byName", "options": "traceID" },
"properties": [
{
"id": "links",
"value": [
{
"title": "View trace",
"url": "/explore?left={\"datasource\":\"Tempo\",\"query\":\"${__value.raw}\"}"
},
{
"title": "View logs",
"url": "/explore?left={\"datasource\":\"Loki\",\"query\":\"{job=\\\"rippled\\\"} |= \\\"${__value.raw}\\\"\"}"
}
]
}
]
}
]
},
"gridPos": { "h": 12, "w": 24, "x": 0, "y": 6 }
}
]
}
```
---
_Previous: [Implementation Phases](./06-implementation-phases.md)_ | _Next: [Appendix](./08-appendix.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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# Appendix
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Observability Backends](./07-observability-backends.md)
---
## 8.1 Glossary
| Term | Definition |
| --------------------- | ---------------------------------------------------------- |
| **Span** | A unit of work with start/end time, name, and attributes |
| **Trace** | A collection of spans representing a complete request flow |
| **Trace ID** | 128-bit unique identifier for a trace |
| **Span ID** | 64-bit unique identifier for a span within a trace |
| **Context** | Carrier for trace/span IDs across boundaries |
| **Propagator** | Component that injects/extracts context |
| **Sampler** | Decides which traces to record |
| **Exporter** | Sends spans to backend |
| **Collector** | Receives, processes, and forwards telemetry |
| **OTLP** | OpenTelemetry Protocol (wire format) |
| **W3C Trace Context** | Standard HTTP headers for trace propagation |
| **Baggage** | Key-value pairs propagated across service boundaries |
| **Resource** | Entity producing telemetry (service, host, etc.) |
| **Instrumentation** | Code that creates telemetry data |
### rippled-Specific Terms
| Term | Definition |
| ----------------- | -------------------------------------------------- |
| **Overlay** | P2P network layer managing peer connections |
| **Consensus** | XRP Ledger consensus algorithm (RCL) |
| **Proposal** | Validator's suggested transaction set for a ledger |
| **Validation** | Validator's signature on a closed ledger |
| **HashRouter** | Component for transaction deduplication |
| **JobQueue** | Thread pool for asynchronous task execution |
| **PerfLog** | Existing performance logging system in rippled |
| **Beast Insight** | Existing metrics framework in rippled |
---
## 8.2 Span Hierarchy Visualization
```mermaid
flowchart TB
subgraph trace["Trace: Transaction Lifecycle"]
rpc["rpc.submit<br/>(entry point)"]
validate["tx.validate"]
relay["tx.relay<br/>(parent span)"]
subgraph peers["Peer Spans"]
p1["peer.send<br/>Peer A"]
p2["peer.send<br/>Peer B"]
p3["peer.send<br/>Peer C"]
end
consensus["consensus.round"]
apply["tx.apply"]
end
rpc --> validate
validate --> relay
relay --> p1
relay --> p2
relay --> p3
p1 -.->|"context propagation"| consensus
consensus --> apply
style trace fill:#0f172a,stroke:#020617,color:#fff
style peers fill:#1e3a8a,stroke:#172554,color:#fff
style rpc fill:#1d4ed8,stroke:#1e40af,color:#fff
style validate fill:#047857,stroke:#064e3b,color:#fff
style relay fill:#047857,stroke:#064e3b,color:#fff
style p1 fill:#0e7490,stroke:#155e75,color:#fff
style p2 fill:#0e7490,stroke:#155e75,color:#fff
style p3 fill:#0e7490,stroke:#155e75,color:#fff
style consensus fill:#fef3c7,stroke:#fde68a,color:#1e293b
style apply fill:#047857,stroke:#064e3b,color:#fff
```
---
## 8.3 References
### OpenTelemetry Resources
1. [OpenTelemetry C++ SDK](https://github.com/open-telemetry/opentelemetry-cpp)
2. [OpenTelemetry Specification](https://opentelemetry.io/docs/specs/otel/)
3. [OpenTelemetry Collector](https://opentelemetry.io/docs/collector/)
4. [OTLP Protocol Specification](https://opentelemetry.io/docs/specs/otlp/)
### Standards
5. [W3C Trace Context](https://www.w3.org/TR/trace-context/)
6. [W3C Baggage](https://www.w3.org/TR/baggage/)
7. [Protocol Buffers](https://protobuf.dev/)
### rippled Resources
8. [rippled Source Code](https://github.com/XRPLF/rippled)
9. [XRP Ledger Documentation](https://xrpl.org/docs/)
10. [rippled Overlay README](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/overlay/README.md)
11. [rippled RPC README](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/rpc/README.md)
12. [rippled Consensus README](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/app/consensus/README.md)
---
## 8.4 Version History
| Version | Date | Author | Changes |
| ------- | ---------- | ------ | --------------------------------- |
| 1.0 | 2026-02-12 | - | Initial implementation plan |
| 1.1 | 2026-02-13 | - | Refactored into modular documents |
---
## 8.5 Document Index
| Document | Description |
| ---------------------------------------------------------------- | ------------------------------------------ |
| [OpenTelemetryPlan.md](./OpenTelemetryPlan.md) | Master overview and executive summary |
| [01-architecture-analysis.md](./01-architecture-analysis.md) | rippled architecture and trace points |
| [02-design-decisions.md](./02-design-decisions.md) | SDK selection, exporters, span conventions |
| [03-implementation-strategy.md](./03-implementation-strategy.md) | Directory structure, performance analysis |
| [04-code-samples.md](./04-code-samples.md) | C++ code examples for all components |
| [05-configuration-reference.md](./05-configuration-reference.md) | rippled config, CMake, Collector configs |
| [06-implementation-phases.md](./06-implementation-phases.md) | Timeline, tasks, risks, success metrics |
| [07-observability-backends.md](./07-observability-backends.md) | Backend selection and architecture |
| [08-appendix.md](./08-appendix.md) | Glossary, references, version history |
---
_Previous: [Observability Backends](./07-observability-backends.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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# Observability Data Collection Reference
> **Audience**: Developers and operators. This is the single source of truth for all telemetry data collected by rippled's observability stack.
>
> **Related docs**: [docs/telemetry-runbook.md](../docs/telemetry-runbook.md) (operator runbook with alerting and troubleshooting) | [03-implementation-strategy.md](./03-implementation-strategy.md) (code structure and performance optimization) | [04-code-samples.md](./04-code-samples.md) (C++ instrumentation examples)
## Data Flow Overview
```mermaid
graph LR
subgraph rippledNode["rippled Node"]
A["Trace Macros<br/>XRPL_TRACE_SPAN<br/>(OTLP/HTTP exporter)"]
B["beast::insight<br/>StatsD metrics<br/>(UDP sender)"]
end
subgraph collector["OTel Collector :4317 / :4318 / :8125"]
direction TB
R1["OTLP Receiver<br/>:4317 gRPC | :4318 HTTP"]
R2["StatsD Receiver<br/>:8125 UDP"]
BP["Batch Processor<br/>timeout 1s, batch 100"]
SM["SpanMetrics Connector<br/>derives RED metrics<br/>from trace spans"]
R1 --> BP
BP --> SM
end
subgraph backends["Trace Backends (choose one or both)"]
D["Jaeger :16686<br/>Trace search &<br/>visualization"]
T["Grafana Tempo<br/>(preferred for production)<br/>S3/GCS long-term storage"]
end
subgraph metrics["Metrics Stack"]
E["Prometheus :9090<br/>scrapes :8889<br/>span-derived + StatsD metrics"]
end
subgraph viz["Visualization"]
F["Grafana :3000<br/>8 dashboards"]
end
A -->|"OTLP/HTTP :4318<br/>(traces + attributes)"| R1
B -->|"UDP :8125<br/>(gauges, counters, timers)"| R2
BP -->|"OTLP/gRPC :4317"| D
BP -->|"OTLP/gRPC"| T
SM -->|"span_calls_total<br/>span_duration_ms<br/>(6 dimension labels)"| E
R2 -->|"rippled_* gauges<br/>rippled_* counters<br/>rippled_* summaries"| E
E -->|"Prometheus<br/>data source"| F
D -->|"Jaeger<br/>data source"| F
T -->|"Tempo<br/>data source"| F
style A fill:#4a90d9,color:#fff,stroke:#2a6db5
style B fill:#d9534f,color:#fff,stroke:#b52d2d
style R1 fill:#5cb85c,color:#fff,stroke:#3d8b3d
style R2 fill:#5cb85c,color:#fff,stroke:#3d8b3d
style BP fill:#449d44,color:#fff,stroke:#2d6e2d
style SM fill:#449d44,color:#fff,stroke:#2d6e2d
style D fill:#f0ad4e,color:#000,stroke:#c78c2e
style T fill:#e8953a,color:#000,stroke:#b5732a
style E fill:#f0ad4e,color:#000,stroke:#c78c2e
style F fill:#5bc0de,color:#000,stroke:#3aa8c1
style rippledNode fill:#1a2633,color:#ccc,stroke:#4a90d9
style collector fill:#1a3320,color:#ccc,stroke:#5cb85c
style backends fill:#332a1a,color:#ccc,stroke:#f0ad4e
style metrics fill:#332a1a,color:#ccc,stroke:#f0ad4e
style viz fill:#1a2d33,color:#ccc,stroke:#5bc0de
```
There are two independent telemetry pipelines entering a single **OTel Collector**:
1. **OpenTelemetry Traces** — Distributed spans with attributes, exported via OTLP/HTTP (:4318) to the collector's **OTLP Receiver**. The **Batch Processor** groups spans (1s timeout, batch size 100) before forwarding to trace backends. The **SpanMetrics Connector** derives RED metrics (rate, errors, duration) from every span and feeds them into the metrics pipeline.
2. **beast::insight StatsD** — System-level gauges, counters, and timers emitted as StatsD UDP packets to port :8125, ingested by the collector's **StatsD Receiver**, and exported alongside span-derived metrics to Prometheus.
**Trace backends** — The collector exports traces via OTLP/gRPC to one or both:
- **Jaeger** (development) — Provides trace search UI at `:16686`. Easy single-binary setup.
- **Grafana Tempo** (production) — Preferred for production. Supports S3/GCS object storage for cost-effective long-term trace retention and integrates natively with Grafana.
> **Further reading**: [00-tracing-fundamentals.md](./00-tracing-fundamentals.md) for core OpenTelemetry concepts (traces, spans, context propagation, sampling). [07-observability-backends.md](./07-observability-backends.md) for production backend selection, collector placement, and sampling strategies.
---
## 1. OpenTelemetry Spans
### 1.1 Complete Span Inventory (16 spans)
> **See also**: [02-design-decisions.md §2.3](./02-design-decisions.md#23-span-naming-conventions) for naming conventions and the full span catalog with rationale. [04-code-samples.md §4.6](./04-code-samples.md#46-span-flow-visualization) for span flow diagrams.
#### RPC Spans
Controlled by `trace_rpc=1` in `[telemetry]` config.
| Span Name | Parent | Source File | Description |
| -------------------- | ------------- | ----------------- | ------------------------------------------------------------------------ |
| `rpc.request` | — | ServerHandler.cpp | Top-level HTTP RPC request entry point |
| `rpc.process` | `rpc.request` | ServerHandler.cpp | RPC processing pipeline |
| `rpc.ws_message` | — | ServerHandler.cpp | WebSocket message handling |
| `rpc.command.<name>` | `rpc.process` | RPCHandler.cpp | Per-command span (e.g., `rpc.command.server_info`, `rpc.command.ledger`) |
**Where to find**: Jaeger → Service: `rippled` → Operation: `rpc.request` or `rpc.command.*`
**Grafana dashboard**: _RPC Performance_ (`rippled-rpc-perf`)
#### Transaction Spans
Controlled by `trace_transactions=1` in `[telemetry]` config.
| Span Name | Parent | Source File | Description |
| ------------ | -------------- | --------------- | ----------------------------------------------------------------- |
| `tx.process` | — | NetworkOPs.cpp | Transaction submission entry point (local or peer-relayed) |
| `tx.receive` | — | PeerImp.cpp | Raw transaction received from peer overlay (before deduplication) |
| `tx.apply` | `ledger.build` | BuildLedger.cpp | Transaction set applied to new ledger during consensus |
**Where to find**: Jaeger → Operation: `tx.process` or `tx.receive`
**Grafana dashboard**: _Transaction Overview_ (`rippled-transactions`)
#### Consensus Spans
Controlled by `trace_consensus=1` in `[telemetry]` config.
| Span Name | Parent | Source File | Description |
| --------------------------- | ------ | ---------------- | --------------------------------------------- |
| `consensus.proposal.send` | — | RCLConsensus.cpp | Node broadcasts its transaction set proposal |
| `consensus.ledger_close` | — | RCLConsensus.cpp | Ledger close event triggered by consensus |
| `consensus.accept` | — | RCLConsensus.cpp | Consensus accepts a ledger (round complete) |
| `consensus.validation.send` | — | RCLConsensus.cpp | Validation message sent after ledger accepted |
| `consensus.accept.apply` | — | RCLConsensus.cpp | Ledger application with close time details |
**Where to find**: Jaeger → Operation: `consensus.*`
**Grafana dashboard**: _Consensus Health_ (`rippled-consensus`)
#### Ledger Spans
Controlled by `trace_ledger=1` in `[telemetry]` config.
| Span Name | Parent | Source File | Description |
| ----------------- | ------ | ---------------- | ---------------------------------------------- |
| `ledger.build` | — | BuildLedger.cpp | Build new ledger from accepted transaction set |
| `ledger.validate` | — | LedgerMaster.cpp | Ledger promoted to validated status |
| `ledger.store` | — | LedgerMaster.cpp | Ledger stored to database/history |
**Where to find**: Jaeger → Operation: `ledger.*`
**Grafana dashboard**: _Ledger Operations_ (`rippled-ledger-ops`)
#### Peer Spans
Controlled by `trace_peer=1` in `[telemetry]` config. **Disabled by default** (high volume).
| Span Name | Parent | Source File | Description |
| ------------------------- | ------ | ----------- | ------------------------------------- |
| `peer.proposal.receive` | — | PeerImp.cpp | Consensus proposal received from peer |
| `peer.validation.receive` | — | PeerImp.cpp | Validation message received from peer |
**Where to find**: Jaeger → Operation: `peer.*`
**Grafana dashboard**: _Peer Network_ (`rippled-peer-net`)
---
### 1.2 Complete Attribute Inventory (22 attributes)
> **See also**: [02-design-decisions.md §2.4.2](./02-design-decisions.md#242-span-attributes-by-category) for attribute design rationale and privacy considerations.
Every span can carry key-value attributes that provide context for filtering and aggregation.
#### RPC Attributes
| Attribute | Type | Set On | Description |
| ------------------------ | ------ | --------------- | ------------------------------------------------ |
| `xrpl.rpc.command` | string | `rpc.command.*` | RPC command name (e.g., `server_info`, `ledger`) |
| `xrpl.rpc.version` | int64 | `rpc.command.*` | API version number |
| `xrpl.rpc.role` | string | `rpc.command.*` | Caller role: `"admin"` or `"user"` |
| `xrpl.rpc.status` | string | `rpc.command.*` | Result: `"success"` or `"error"` |
| `xrpl.rpc.duration_ms` | int64 | `rpc.command.*` | Command execution time in milliseconds |
| `xrpl.rpc.error_message` | string | `rpc.command.*` | Error details (only set on failure) |
**Jaeger query**: Tag `xrpl.rpc.command=server_info` to find all `server_info` calls.
**Prometheus label**: `xrpl_rpc_command` (dots converted to underscores by SpanMetrics).
#### Transaction Attributes
| Attribute | Type | Set On | Description |
| -------------------- | ------- | -------------------------- | ---------------------------------------------------- |
| `xrpl.tx.hash` | string | `tx.process`, `tx.receive` | Transaction hash (hex-encoded) |
| `xrpl.tx.local` | boolean | `tx.process` | `true` if locally submitted, `false` if peer-relayed |
| `xrpl.tx.path` | string | `tx.process` | Submission path: `"sync"` or `"async"` |
| `xrpl.tx.suppressed` | boolean | `tx.receive` | `true` if transaction was suppressed (duplicate) |
| `xrpl.tx.status` | string | `tx.receive` | Transaction status (e.g., `"known_bad"`) |
**Jaeger query**: Tag `xrpl.tx.hash=<hash>` to trace a specific transaction across nodes.
**Prometheus label**: `xrpl_tx_local` (used as SpanMetrics dimension).
#### Consensus Attributes
| Attribute | Type | Set On | Description |
| ------------------------------------ | ------- | --------------------------------------------------------------------------------------------------- | ------------------------------------------------------------- |
| `xrpl.consensus.round` | int64 | `consensus.proposal.send` | Consensus round number |
| `xrpl.consensus.mode` | string | `consensus.proposal.send`, `consensus.ledger_close` | Node mode: `"syncing"`, `"tracking"`, `"full"`, `"proposing"` |
| `xrpl.consensus.proposers` | int64 | `consensus.proposal.send`, `consensus.accept` | Number of proposers in the round |
| `xrpl.consensus.proposing` | boolean | `consensus.validation.send` | Whether this node was a proposer |
| `xrpl.consensus.ledger.seq` | int64 | `consensus.ledger_close`, `consensus.accept`, `consensus.validation.send`, `consensus.accept.apply` | Ledger sequence number |
| `xrpl.consensus.close_time` | int64 | `consensus.accept.apply` | Agreed-upon ledger close time (epoch seconds) |
| `xrpl.consensus.close_time_correct` | boolean | `consensus.accept.apply` | Whether validators reached agreement on close time |
| `xrpl.consensus.close_resolution_ms` | int64 | `consensus.accept.apply` | Close time rounding granularity in milliseconds |
| `xrpl.consensus.state` | string | `consensus.accept.apply` | Consensus outcome: `"finished"` or `"moved_on"` |
| `xrpl.consensus.round_time_ms` | int64 | `consensus.accept.apply` | Total consensus round duration in milliseconds |
**Jaeger query**: Tag `xrpl.consensus.mode=proposing` to find rounds where node was proposing.
**Prometheus label**: `xrpl_consensus_mode` (used as SpanMetrics dimension).
#### Ledger Attributes
| Attribute | Type | Set On | Description |
| ------------------------- | ----- | ------------------------------------------------------------- | ---------------------------------------------- |
| `xrpl.ledger.seq` | int64 | `ledger.build`, `ledger.validate`, `ledger.store`, `tx.apply` | Ledger sequence number |
| `xrpl.ledger.validations` | int64 | `ledger.validate` | Number of validations received for this ledger |
| `xrpl.ledger.tx_count` | int64 | `ledger.build`, `tx.apply` | Transactions in the ledger |
| `xrpl.ledger.tx_failed` | int64 | `ledger.build`, `tx.apply` | Failed transactions in the ledger |
**Jaeger query**: Tag `xrpl.ledger.seq=12345` to find all spans for a specific ledger.
#### Peer Attributes
| Attribute | Type | Set On | Description |
| ------------------------------ | ------- | ---------------------------------------------------------------- | ---------------------------------------------------- |
| `xrpl.peer.id` | int64 | `tx.receive`, `peer.proposal.receive`, `peer.validation.receive` | Peer identifier |
| `xrpl.peer.proposal.trusted` | boolean | `peer.proposal.receive` | Whether the proposal came from a trusted validator |
| `xrpl.peer.validation.trusted` | boolean | `peer.validation.receive` | Whether the validation came from a trusted validator |
**Prometheus labels**: `xrpl_peer_proposal_trusted`, `xrpl_peer_validation_trusted` (SpanMetrics dimensions).
---
### 1.3 SpanMetrics — Derived Prometheus Metrics
> **See also**: [01-architecture-analysis.md](./01-architecture-analysis.md) §1.8.2 for how span-derived metrics map to operational insights.
The OTel Collector's SpanMetrics connector automatically generates RED (Rate, Errors, Duration) metrics from every span. No custom metrics code in rippled is needed.
| Prometheus Metric | Type | Description |
| -------------------------------------------------- | --------- | ------------------------------------------------------------------------------ |
| `traces_span_metrics_calls_total` | Counter | Total span invocations |
| `traces_span_metrics_duration_milliseconds_bucket` | Histogram | Latency distribution (buckets: 1, 5, 10, 25, 50, 100, 250, 500, 1000, 5000 ms) |
| `traces_span_metrics_duration_milliseconds_count` | Histogram | Observation count |
| `traces_span_metrics_duration_milliseconds_sum` | Histogram | Cumulative latency |
**Standard labels on every metric**: `span_name`, `status_code`, `service_name`, `span_kind`
**Additional dimension labels** (configured in `otel-collector-config.yaml`):
| Span Attribute | Prometheus Label | Applies To |
| ------------------------------ | ------------------------------ | ------------------------- |
| `xrpl.rpc.command` | `xrpl_rpc_command` | `rpc.command.*` |
| `xrpl.rpc.status` | `xrpl_rpc_status` | `rpc.command.*` |
| `xrpl.consensus.mode` | `xrpl_consensus_mode` | `consensus.ledger_close` |
| `xrpl.tx.local` | `xrpl_tx_local` | `tx.process` |
| `xrpl.peer.proposal.trusted` | `xrpl_peer_proposal_trusted` | `peer.proposal.receive` |
| `xrpl.peer.validation.trusted` | `xrpl_peer_validation_trusted` | `peer.validation.receive` |
**Where to query**: Prometheus → `traces_span_metrics_calls_total{span_name="rpc.command.server_info"}`
---
## 2. StatsD Metrics (beast::insight)
> **See also**: [02-design-decisions.md](./02-design-decisions.md) for the beast::insight coexistence design. [06-implementation-phases.md](./06-implementation-phases.md) for the Phase 6 metric inventory.
>
> **Migration planned**: [Phase7_taskList.md](./Phase7_taskList.md) replaces the StatsD UDP transport with native OTel Metrics SDK export via OTLP/HTTP. The `beast::insight::Collector` interface and all metric names are preserved — only the wire protocol changes. `[insight] server=statsd` remains as a fallback.
These are system-level metrics emitted by rippled's `beast::insight` framework via StatsD UDP. They cover operational data that doesn't map to individual trace spans.
### Configuration
```ini
[insight]
server=statsd
address=127.0.0.1:8125
prefix=rippled
```
### 2.1 Gauges
| Prometheus Metric | Source File | Description | Typical Range |
| --------------------------------------------------- | --------------------- | ---------------------------------------- | ------------------------------- |
| `rippled_LedgerMaster_Validated_Ledger_Age` | LedgerMaster.h | Seconds since last validated ledger | 010 (healthy), >30 (stale) |
| `rippled_LedgerMaster_Published_Ledger_Age` | LedgerMaster.h | Seconds since last published ledger | 010 (healthy) |
| `rippled_State_Accounting_Disconnected_duration` | NetworkOPs.cpp | Cumulative seconds in Disconnected state | Monotonic |
| `rippled_State_Accounting_Connected_duration` | NetworkOPs.cpp | Cumulative seconds in Connected state | Monotonic |
| `rippled_State_Accounting_Syncing_duration` | NetworkOPs.cpp | Cumulative seconds in Syncing state | Monotonic |
| `rippled_State_Accounting_Tracking_duration` | NetworkOPs.cpp | Cumulative seconds in Tracking state | Monotonic |
| `rippled_State_Accounting_Full_duration` | NetworkOPs.cpp | Cumulative seconds in Full state | Monotonic (should dominate) |
| `rippled_State_Accounting_Disconnected_transitions` | NetworkOPs.cpp | Count of transitions to Disconnected | Low |
| `rippled_State_Accounting_Connected_transitions` | NetworkOPs.cpp | Count of transitions to Connected | Low |
| `rippled_State_Accounting_Syncing_transitions` | NetworkOPs.cpp | Count of transitions to Syncing | Low |
| `rippled_State_Accounting_Tracking_transitions` | NetworkOPs.cpp | Count of transitions to Tracking | Low |
| `rippled_State_Accounting_Full_transitions` | NetworkOPs.cpp | Count of transitions to Full | Low (should be 1 after startup) |
| `rippled_Peer_Finder_Active_Inbound_Peers` | PeerfinderManager.cpp | Active inbound peer connections | 085 |
| `rippled_Peer_Finder_Active_Outbound_Peers` | PeerfinderManager.cpp | Active outbound peer connections | 1021 |
| `rippled_Overlay_Peer_Disconnects` | OverlayImpl.cpp | Cumulative peer disconnection count | Low growth |
| `rippled_job_count` | JobQueue.cpp | Current job queue depth | 0100 (healthy) |
**Grafana dashboard**: _Node Health (StatsD)_ (`rippled-statsd-node-health`)
### 2.2 Counters
| Prometheus Metric | Source File | Description |
| --------------------------------- | ------------------ | --------------------------------------------- |
| `rippled_rpc_requests` | ServerHandler.cpp | Total RPC requests received |
| `rippled_ledger_fetches` | InboundLedgers.cpp | Inbound ledger fetch attempts |
| `rippled_ledger_history_mismatch` | LedgerHistory.cpp | Ledger hash mismatches detected |
| `rippled_warn` | Logic.h | Resource manager warnings issued |
| `rippled_drop` | Logic.h | Resource manager drops (connections rejected) |
**Note**: `rippled_warn` and `rippled_drop` use non-standard StatsD meter type (`|m`). The OTel StatsD receiver only recognizes `|c`, `|g`, `|ms`, `|h`, `|s` — these metrics may be silently dropped. See Known Issues below.
**Grafana dashboard**: _RPC & Pathfinding (StatsD)_ (`rippled-statsd-rpc`)
### 2.3 Histograms (from StatsD timers)
| Prometheus Metric | Source File | Unit | Description |
| ----------------------- | ----------------- | ----- | ------------------------------ |
| `rippled_rpc_time` | ServerHandler.cpp | ms | RPC response time distribution |
| `rippled_rpc_size` | ServerHandler.cpp | bytes | RPC response size distribution |
| `rippled_ios_latency` | Application.cpp | ms | I/O service loop latency |
| `rippled_pathfind_fast` | PathRequests.h | ms | Fast pathfinding duration |
| `rippled_pathfind_full` | PathRequests.h | ms | Full pathfinding duration |
Quantiles collected: 0th, 50th, 90th, 95th, 99th, 100th percentile.
**Grafana dashboards**: _Node Health_ (ios*latency), *RPC & Pathfinding* (rpc_time, rpc_size, pathfind*\*)
### 2.4 Overlay Traffic Metrics
For each of the 45+ overlay traffic categories (defined in `TrafficCount.h`), four gauges are emitted:
- `rippled_{category}_Bytes_In`
- `rippled_{category}_Bytes_Out`
- `rippled_{category}_Messages_In`
- `rippled_{category}_Messages_Out`
**Key categories**:
| Category | Description |
| ----------------------------------------------------------------- | -------------------------- |
| `total` | All traffic aggregated |
| `overhead` / `overhead_overlay` | Protocol overhead |
| `transactions` / `transactions_duplicate` | Transaction relay |
| `proposals` / `proposals_untrusted` / `proposals_duplicate` | Consensus proposals |
| `validations` / `validations_untrusted` / `validations_duplicate` | Consensus validations |
| `ledger_data_get` / `ledger_data_share` | Ledger data exchange |
| `ledger_data_Transaction_Node_get/share` | Transaction node data |
| `ledger_data_Account_State_Node_get/share` | Account state node data |
| `ledger_data_Transaction_Set_candidate_get/share` | Transaction set candidates |
| `getObject` / `haveTxSet` / `ledgerData` | Object requests |
| `ping` / `status` | Keepalive and status |
| `set_get` | Set requests |
**Grafana dashboard**: _Network Traffic (StatsD)_ (`rippled-statsd-network`)
---
## 3. Grafana Dashboard Reference
> **See also**: [05-configuration-reference.md](./05-configuration-reference.md) §5.8 for Grafana data source provisioning (Tempo, Jaeger, Prometheus) and TraceQL query examples.
### 3.1 Span-Derived Dashboards (5)
| Dashboard | UID | Data Source | Key Panels |
| -------------------- | ---------------------- | ------------------------ | ---------------------------------------------------------------------------------- |
| RPC Performance | `rippled-rpc-perf` | Prometheus (SpanMetrics) | Request rate by command, p95 latency by command, error rate, heatmap, top commands |
| Transaction Overview | `rippled-transactions` | Prometheus (SpanMetrics) | Processing rate, latency p95/p50, local vs relay split, apply duration, heatmap |
| Consensus Health | `rippled-consensus` | Prometheus (SpanMetrics) | Round duration p95/p50, proposals rate, close duration, mode timeline, heatmap |
| Ledger Operations | `rippled-ledger-ops` | Prometheus (SpanMetrics) | Build rate, build duration, validation rate, store rate, build vs close comparison |
| Peer Network | `rippled-peer-net` | Prometheus (SpanMetrics) | Proposal receive rate, validation receive rate, trusted vs untrusted breakdown |
### 3.2 StatsD Dashboards (3)
| Dashboard | UID | Data Source | Key Panels |
| ----------------- | ---------------------------- | ------------------- | ----------------------------------------------------------------------------- |
| Node Health | `rippled-statsd-node-health` | Prometheus (StatsD) | Ledger age, operating mode, I/O latency, job queue, fetch rate |
| Network Traffic | `rippled-statsd-network` | Prometheus (StatsD) | Active peers, disconnects, bytes in/out, messages in/out, traffic by category |
| RPC & Pathfinding | `rippled-statsd-rpc` | Prometheus (StatsD) | RPC rate, response time/size, pathfinding duration, resource warnings/drops |
### 3.3 Accessing the Dashboards
1. Open Grafana at **http://localhost:3000**
2. Navigate to **Dashboards → rippled** folder
3. All 8 dashboards are auto-provisioned from `docker/telemetry/grafana/dashboards/`
---
## 4. Jaeger Trace Search Guide
> **See also**: [08-appendix.md](./08-appendix.md) §8.2 for span hierarchy visualizations. [05-configuration-reference.md](./05-configuration-reference.md) §5.8.5 for TraceQL examples when using Grafana Tempo instead of Jaeger.
### Finding Traces by Type
| What to Find | Jaeger Search Parameters |
| ------------------------ | ---------------------------------------------------------- |
| All RPC calls | Service: `rippled`, Operation: `rpc.request` |
| Specific RPC command | Operation: `rpc.command.server_info` (or any command name) |
| Slow RPC calls | Operation: `rpc.command.*`, Min Duration: `100ms` |
| Failed RPC calls | Tag: `xrpl.rpc.status=error` |
| Specific transaction | Tag: `xrpl.tx.hash=<hex_hash>` |
| Local transactions only | Tag: `xrpl.tx.local=true` |
| Consensus rounds | Operation: `consensus.accept` |
| Rounds by mode | Tag: `xrpl.consensus.mode=proposing` |
| Specific ledger | Tag: `xrpl.ledger.seq=12345` |
| Peer proposals (trusted) | Tag: `xrpl.peer.proposal.trusted=true` |
### Trace Structure
A typical RPC trace shows the span hierarchy:
```
rpc.request (ServerHandler)
└── rpc.process (ServerHandler)
└── rpc.command.server_info (RPCHandler)
```
A consensus round produces independent spans (not parent-child):
```
consensus.ledger_close (close event)
consensus.proposal.send (broadcast proposal)
ledger.build (build new ledger)
└── tx.apply (apply transaction set)
consensus.accept (accept result)
consensus.validation.send (send validation)
ledger.validate (promote to validated)
ledger.store (persist to DB)
```
---
## 5. Prometheus Query Examples
> **See also**: [05-configuration-reference.md](./05-configuration-reference.md) §5.8.7 for correlating Prometheus StatsD metrics with trace-derived metrics.
### Span-Derived Metrics
```promql
# RPC request rate by command (last 5 minutes)
sum by (xrpl_rpc_command) (rate(traces_span_metrics_calls_total{span_name=~"rpc.command.*"}[5m]))
# RPC p95 latency by command
histogram_quantile(0.95, sum by (le, xrpl_rpc_command) (rate(traces_span_metrics_duration_milliseconds_bucket{span_name=~"rpc.command.*"}[5m])))
# Consensus round duration p95
histogram_quantile(0.95, sum by (le) (rate(traces_span_metrics_duration_milliseconds_bucket{span_name="consensus.accept"}[5m])))
# Transaction processing rate (local vs relay)
sum by (xrpl_tx_local) (rate(traces_span_metrics_calls_total{span_name="tx.process"}[5m]))
# Trusted vs untrusted proposal rate
sum by (xrpl_peer_proposal_trusted) (rate(traces_span_metrics_calls_total{span_name="peer.proposal.receive"}[5m]))
```
### StatsD Metrics
```promql
# Validated ledger age (should be < 10s)
rippled_LedgerMaster_Validated_Ledger_Age
# Active peer count
rippled_Peer_Finder_Active_Inbound_Peers + rippled_Peer_Finder_Active_Outbound_Peers
# RPC response time p95
histogram_quantile(0.95, rippled_rpc_time_bucket)
# Total network bytes in (rate)
rate(rippled_total_Bytes_In[5m])
# Operating mode (should be "Full" after startup)
rippled_State_Accounting_Full_duration
```
---
## 5a. Future: Log-Trace Correlation (Phase 8)
> **Plan details**: [06-implementation-phases.md §6.8.1](./06-implementation-phases.md) — motivation, architecture, Mermaid diagrams
> **Task breakdown**: [Phase8_taskList.md](./Phase8_taskList.md) — per-task implementation details
Phase 8 injects OTel trace context into rippled's `Logs::format()` output, enabling log-trace correlation:
```
2024-01-15T10:30:45.123Z LedgerMaster:NFO trace_id=abc123def456... span_id=0123456789abcdef Validated ledger 42
```
- **`trace_id=<hex32>`** — Links to the distributed trace in Tempo/Jaeger
- **`span_id=<hex16>`** — Identifies the specific span within the trace
- **Only present** when the log is emitted within an active OTel span
- **Ingested** via OTel Collector filelog receiver → Grafana Loki
- **Correlated** via Grafana derived fields (Loki↔Tempo bidirectional linking)
### LogQL Query Examples
```promql
# Find all logs for a specific trace
{job="rippled"} |= "trace_id=abc123def456"
# Error logs with trace context
{job="rippled"} | regexp `(?P<severity>\w+):(?P<level>ERR|WRN)` | severity != ""
# Logs from a specific partition with trace context
{job="rippled"} |= "LedgerMaster" | regexp `trace_id=(?P<trace_id>\w+)` | trace_id != ""
```
---
## 6. Known Issues
| Issue | Impact | Status |
| ------------------------------------------------------------------ | ------------------------------------------------ | -------------------------------------------------------------------- |
| `warn` and `drop` metrics use non-standard StatsD `\|m` meter type | Metrics silently dropped by OTel StatsD receiver | Phase 6 Task 6.1 — needs `\|m``\|c` change in StatsDCollector.cpp |
| `rippled_job_count` may not emit in standalone mode | Missing from Prometheus in some test configs | Requires active job queue activity |
| `rippled_rpc_requests` depends on `[insight]` config | Zero series if StatsD not configured | Requires `[insight] server=statsd` in xrpld.cfg |
| Peer tracing disabled by default | No `peer.*` spans unless `trace_peer=1` | Intentional — high volume on mainnet |
---
## 7. Privacy and Data Collection
The telemetry system is designed with privacy in mind:
- **No private keys** are ever included in spans or metrics
- **No account balances** or financial data is traced
- **Transaction hashes** are included (public on-ledger data) but not transaction contents
- **Peer IDs** are internal identifiers, not IP addresses
- **All telemetry is opt-in** — disabled by default at build time (`-Dtelemetry=OFF`)
- **Sampling** reduces data volume — `sampling_ratio=0.01` recommended for production
- **Data stays local** — the default stack sends data to `localhost` only
---
## 8. Configuration Quick Reference
> **Full reference**: [05-configuration-reference.md](./05-configuration-reference.md) §5.1 for all `[telemetry]` options with defaults, the config parser implementation, and collector YAML configurations (dev and production).
### Minimal Setup (development)
```ini
[telemetry]
enabled=1
[insight]
server=statsd
address=127.0.0.1:8125
prefix=rippled
```
### Production Setup
```ini
[telemetry]
enabled=1
endpoint=http://otel-collector:4318/v1/traces
sampling_ratio=0.01
trace_peer=0
batch_size=1024
max_queue_size=4096
[insight]
server=statsd
address=otel-collector:8125
prefix=rippled
```
### Trace Category Toggle
| Config Key | Default | Controls |
| -------------------- | ------- | ---------------------------- |
| `trace_rpc` | `1` | `rpc.*` spans |
| `trace_transactions` | `1` | `tx.*` spans |
| `trace_consensus` | `1` | `consensus.*` spans |
| `trace_ledger` | `1` | `ledger.*` spans |
| `trace_peer` | `0` | `peer.*` spans (high volume) |

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# [OpenTelemetry](00-tracing-fundamentals.md) Distributed Tracing Implementation Plan for rippled (xrpld)
## Executive Summary
This document provides a comprehensive implementation plan for integrating OpenTelemetry distributed tracing into the rippled XRP Ledger node software. The plan addresses the unique challenges of a decentralized peer-to-peer system where trace context must propagate across network boundaries between independent nodes.
### Key Benefits
- **End-to-end transaction visibility**: Track transactions from submission through consensus to ledger inclusion
- **Consensus round analysis**: Understand timing and behavior of consensus phases across validators
- **RPC performance insights**: Identify slow handlers and optimize response times
- **Network topology understanding**: Visualize message propagation patterns between peers
- **Incident debugging**: Correlate events across distributed nodes during issues
### Estimated Performance Overhead
| Metric | Overhead | Notes |
| ------------- | ---------- | ----------------------------------- |
| CPU | 1-3% | Span creation and attribute setting |
| Memory | 2-5 MB | Batch buffer for pending spans |
| Network | 10-50 KB/s | Compressed OTLP export to collector |
| Latency (p99) | <2% | With proper sampling configuration |
---
## Document Structure
This implementation plan is organized into modular documents for easier navigation:
<div align="center">
```mermaid
flowchart TB
overview["📋 OpenTelemetryPlan.md<br/>(This Document)"]
subgraph analysis["Analysis & Design"]
arch["01-architecture-analysis.md"]
design["02-design-decisions.md"]
end
subgraph impl["Implementation"]
strategy["03-implementation-strategy.md"]
code["04-code-samples.md"]
config["05-configuration-reference.md"]
end
subgraph deploy["Deployment & Planning"]
phases["06-implementation-phases.md"]
backends["07-observability-backends.md"]
appendix["08-appendix.md"]
dataref["09-data-collection-reference.md"]
end
overview --> analysis
overview --> impl
overview --> deploy
arch --> design
design --> strategy
strategy --> code
code --> config
config --> phases
phases --> backends
backends --> appendix
appendix --> dataref
style overview fill:#1b5e20,stroke:#0d3d14,color:#fff,stroke-width:2px
style analysis fill:#0d47a1,stroke:#082f6a,color:#fff
style impl fill:#bf360c,stroke:#8c2809,color:#fff
style deploy fill:#4a148c,stroke:#2e0d57,color:#fff
style arch fill:#0d47a1,stroke:#082f6a,color:#fff
style design fill:#0d47a1,stroke:#082f6a,color:#fff
style strategy fill:#bf360c,stroke:#8c2809,color:#fff
style code fill:#bf360c,stroke:#8c2809,color:#fff
style config fill:#bf360c,stroke:#8c2809,color:#fff
style phases fill:#4a148c,stroke:#2e0d57,color:#fff
style backends fill:#4a148c,stroke:#2e0d57,color:#fff
style appendix fill:#4a148c,stroke:#2e0d57,color:#fff
style dataref fill:#4a148c,stroke:#2e0d57,color:#fff
```
</div>
---
## Table of Contents
| Section | Document | Description |
| ------- | -------------------------------------------------------------- | ---------------------------------------------------------------------- |
| **1** | [Architecture Analysis](./01-architecture-analysis.md) | rippled component analysis, trace points, instrumentation priorities |
| **2** | [Design Decisions](./02-design-decisions.md) | SDK selection, exporters, span naming, attributes, context propagation |
| **3** | [Implementation Strategy](./03-implementation-strategy.md) | Directory structure, key principles, performance optimization |
| **4** | [Code Samples](./04-code-samples.md) | Complete C++ implementation examples for all components |
| **5** | [Configuration Reference](./05-configuration-reference.md) | rippled config, CMake integration, Collector configurations |
| **6** | [Implementation Phases](./06-implementation-phases.md) | 5-phase timeline, tasks, risks, success metrics |
| **7** | [Observability Backends](./07-observability-backends.md) | Backend selection guide and production architecture |
| **8** | [Appendix](./08-appendix.md) | Glossary, references, version history |
| **9** | [Data Collection Reference](./09-data-collection-reference.md) | Complete inventory of spans, attributes, metrics, and dashboards |
---
## 1. Architecture Analysis
The rippled node consists of several key components that require instrumentation for comprehensive distributed tracing. The main areas include the RPC server (HTTP/WebSocket), Overlay P2P network, Consensus mechanism (RCLConsensus), JobQueue for async task execution, and existing observability infrastructure (PerfLog, Insight/StatsD, Journal logging).
Key trace points span across transaction submission via RPC, peer-to-peer message propagation, consensus round execution, and ledger building. The implementation prioritizes high-value, low-risk components first: RPC handlers provide immediate value with minimal risk, while consensus tracing requires careful implementation to avoid timing impacts.
➡️ **[Read full Architecture Analysis](./01-architecture-analysis.md)**
---
## 2. Design Decisions
The OpenTelemetry C++ SDK is selected for its CNCF backing, active development, and native performance characteristics. Traces are exported via OTLP/gRPC (primary) or OTLP/HTTP (fallback) to an OpenTelemetry Collector, which provides flexible routing and sampling.
Span naming follows a hierarchical `<component>.<operation>` convention (e.g., `rpc.submit`, `tx.relay`, `consensus.round`). Context propagation uses W3C Trace Context headers for HTTP and embedded Protocol Buffer fields for P2P messages. The implementation coexists with existing PerfLog and Insight observability systems through correlation IDs.
**Data Collection & Privacy**: Telemetry collects only operational metadata (timing, counts, hashes) — never sensitive content (private keys, balances, amounts, raw payloads). Privacy protection includes account hashing, configurable redaction, sampling, and collector-level filtering. Node operators retain full control(not penned down in this document yet) over what data is exported.
➡️ **[Read full Design Decisions](./02-design-decisions.md)**
---
## 3. Implementation Strategy
The telemetry code is organized under `include/xrpl/telemetry/` for headers and `src/libxrpl/telemetry/` for implementation. Key principles include RAII-based span management via `SpanGuard`, conditional compilation with `XRPL_ENABLE_TELEMETRY`, and minimal runtime overhead through batch processing and efficient sampling.
Performance optimization strategies include probabilistic head sampling (10% default), tail-based sampling at the collector for errors and slow traces, batch export to reduce network overhead, and conditional instrumentation that compiles to no-ops when disabled.
➡️ **[Read full Implementation Strategy](./03-implementation-strategy.md)**
---
## 4. Code Samples
Complete C++ implementation examples are provided for all telemetry components:
- `Telemetry.h` - Core interface for tracer access and span creation
- `SpanGuard.h` - RAII wrapper for automatic span lifecycle management
- `TracingInstrumentation.h` - Macros for conditional instrumentation
- Protocol Buffer extensions for trace context propagation
- Module-specific instrumentation (RPC, Consensus, P2P, JobQueue)
➡️ **[View all Code Samples](./04-code-samples.md)**
---
## 5. Configuration Reference
Configuration is handled through the `[telemetry]` section in `xrpld.cfg` with options for enabling/disabling, exporter selection, endpoint configuration, sampling ratios, and component-level filtering. CMake integration includes a `XRPL_ENABLE_TELEMETRY` option for compile-time control.
OpenTelemetry Collector configurations are provided for development (with Jaeger) and production (with tail-based sampling, Tempo, and Elastic APM). Docker Compose examples enable quick local development environment setup.
➡️ **[View full Configuration Reference](./05-configuration-reference.md)**
---
## 6. Implementation Phases
The implementation spans 13 weeks across 8 phases:
| Phase | Duration | Focus | Key Deliverables |
| ----- | ----------- | --------------------- | ----------------------------------------------------------- |
| 1 | Weeks 1-2 | Core Infrastructure | SDK integration, Telemetry interface, Configuration |
| 2 | Weeks 3-4 | RPC Tracing | HTTP context extraction, Handler instrumentation |
| 3 | Weeks 5-6 | Transaction Tracing | Protocol Buffer context, Relay propagation |
| 4 | Weeks 7-8 | Consensus Tracing | Round spans, Proposal/validation tracing |
| 5 | Week 9 | Documentation | Runbook, Dashboards, Training |
| 6 | Week 10 | StatsD Metrics Bridge | OTel Collector StatsD receiver, 3 Grafana dashboards |
| 7 | Weeks 11-12 | Native OTel Metrics | OTelCollector impl, OTLP metrics export, StatsD deprecation |
| 8 | Week 13 | Log-Trace Correlation | trace_id in logs, Loki ingestion, Tempo↔Loki linking |
**Total Effort**: 65.1 developer-days with 2 developers
➡️ **[View full Implementation Phases](./06-implementation-phases.md)**
---
## 7. Observability Backends
For development and testing, Jaeger provides easy setup with a good UI. For production deployments, Grafana Tempo is recommended for its cost-effectiveness and Grafana integration, while Elastic APM is ideal for organizations with existing Elastic infrastructure.
The recommended production architecture uses a gateway collector pattern with regional collectors performing tail-based sampling, routing traces to multiple backends (Tempo for primary storage, Elastic for log correlation, S3/GCS for long-term archive).
➡️ **[View Observability Backend Recommendations](./07-observability-backends.md)**
---
## 8. Appendix
The appendix contains a glossary of OpenTelemetry and rippled-specific terms, references to external documentation and specifications, version history for this implementation plan, and a complete document index.
➡️ **[View Appendix](./08-appendix.md)**
---
## 9. Data Collection Reference
A single-source-of-truth reference documenting every piece of telemetry data collected by rippled. Covers all 16 OpenTelemetry spans with their 22 attributes, all StatsD metrics (gauges, counters, histograms, overlay traffic), SpanMetrics-derived Prometheus metrics, and all 8 Grafana dashboards. Includes Jaeger search guides and Prometheus query examples.
➡️ **[View Data Collection Reference](./09-data-collection-reference.md)**
---
_This document provides a comprehensive implementation plan for integrating OpenTelemetry distributed tracing into the rippled XRP Ledger node software. For detailed information on any section, follow the links to the corresponding sub-documents._

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# OpenTelemetry POC Task List
> **Goal**: Build a minimal end-to-end proof of concept that demonstrates distributed tracing in rippled. A successful POC will show RPC request traces flowing from rippled through an OTel Collector into Jaeger, viewable in a browser UI.
>
> **Scope**: RPC tracing only (highest value, lowest risk per the [CRAWL phase](./06-implementation-phases.md#6102-quick-wins-immediate-value) in the implementation phases). No cross-node P2P context propagation or consensus tracing in the POC.
### Related Plan Documents
| Document | Relevance to POC |
| ---------------------------------------------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------- |
| [00-tracing-fundamentals.md](./00-tracing-fundamentals.md) | Core concepts: traces, spans, context propagation, sampling |
| [01-architecture-analysis.md](./01-architecture-analysis.md) | RPC request flow (§1.5), key trace points (§1.6), instrumentation priority (§1.7) |
| [02-design-decisions.md](./02-design-decisions.md) | SDK selection (§2.1), exporter config (§2.2), span naming (§2.3), attribute schema (§2.4), coexistence with PerfLog/Insight (§2.6) |
| [03-implementation-strategy.md](./03-implementation-strategy.md) | Directory structure (§3.1), key principles (§3.2), performance overhead (§3.3-3.6), conditional compilation (§3.7.3), code intrusiveness (§3.9) |
| [04-code-samples.md](./04-code-samples.md) | Telemetry interface (§4.1), SpanGuard (§4.2), macros (§4.3), RPC instrumentation (§4.5.3) |
| [05-configuration-reference.md](./05-configuration-reference.md) | rippled config (§5.1), config parser (§5.2), Application integration (§5.3), CMake (§5.4), Collector config (§5.5), Docker Compose (§5.6), Grafana (§5.8) |
| [06-implementation-phases.md](./06-implementation-phases.md) | Phase 1 core tasks (§6.2), Phase 2 RPC tasks (§6.3), quick wins (§6.10), definition of done (§6.11) |
| [07-observability-backends.md](./07-observability-backends.md) | Jaeger dev setup (§7.1), Grafana dashboards (§7.6), alert rules (§7.6.3) |
---
## Task 0: Docker Observability Stack Setup
**Objective**: Stand up the backend infrastructure to receive, store, and display traces.
**What to do**:
- Create `docker/telemetry/docker-compose.yml` in the repo with three services:
1. **OpenTelemetry Collector** (`otel/opentelemetry-collector-contrib:latest`)
- Expose ports `4317` (OTLP gRPC) and `4318` (OTLP HTTP)
- Expose port `13133` (health check)
- Mount a config file `docker/telemetry/otel-collector-config.yaml`
2. **Jaeger** (`jaegertracing/all-in-one:latest`)
- Expose port `16686` (UI) and `14250` (gRPC collector)
- Set env `COLLECTOR_OTLP_ENABLED=true`
3. **Grafana** (`grafana/grafana:latest`) — optional but useful
- Expose port `3000`
- Enable anonymous admin access for local dev (`GF_AUTH_ANONYMOUS_ENABLED=true`, `GF_AUTH_ANONYMOUS_ORG_ROLE=Admin`)
- Provision Jaeger as a data source via `docker/telemetry/grafana/provisioning/datasources/jaeger.yaml`
- Create `docker/telemetry/otel-collector-config.yaml`:
```yaml
receivers:
otlp:
protocols:
grpc:
endpoint: 0.0.0.0:4317
http:
endpoint: 0.0.0.0:4318
processors:
batch:
timeout: 1s
send_batch_size: 100
exporters:
logging:
verbosity: detailed
otlp/jaeger:
endpoint: jaeger:4317
tls:
insecure: true
service:
pipelines:
traces:
receivers: [otlp]
processors: [batch]
exporters: [logging, otlp/jaeger]
```
- Create Grafana Jaeger datasource provisioning file at `docker/telemetry/grafana/provisioning/datasources/jaeger.yaml`:
```yaml
apiVersion: 1
datasources:
- name: Jaeger
type: jaeger
access: proxy
url: http://jaeger:16686
```
**Verification**: Run `docker compose -f docker/telemetry/docker-compose.yml up -d`, then:
- `curl http://localhost:13133` returns healthy (Collector)
- `http://localhost:16686` opens Jaeger UI (no traces yet)
- `http://localhost:3000` opens Grafana (optional)
**Reference**:
- [05-configuration-reference.md §5.5](./05-configuration-reference.md) — Collector config (dev YAML with Jaeger exporter)
- [05-configuration-reference.md §5.6](./05-configuration-reference.md) — Docker Compose development environment
- [07-observability-backends.md §7.1](./07-observability-backends.md) — Jaeger quick start and backend selection
- [05-configuration-reference.md §5.8](./05-configuration-reference.md) — Grafana datasource provisioning and dashboards
---
## Task 1: Add OpenTelemetry C++ SDK Dependency
**Objective**: Make `opentelemetry-cpp` available to the build system.
**What to do**:
- Edit `conanfile.py` to add `opentelemetry-cpp` as an **optional** dependency. The gRPC otel plugin flag (`"grpc/*:otel_plugin": False`) in the existing conanfile may need to remain false — we pull the OTel SDK separately.
- Add a Conan option: `with_telemetry = [True, False]` defaulting to `False`
- When `with_telemetry` is `True`, add `opentelemetry-cpp` to `self.requires()`
- Required OTel Conan components: `opentelemetry-cpp` (which bundles api, sdk, and exporters). If the package isn't in Conan Center, consider using `FetchContent` in CMake or building from source as a fallback.
- Edit `CMakeLists.txt`:
- Add option: `option(XRPL_ENABLE_TELEMETRY "Enable OpenTelemetry tracing" OFF)`
- When ON, `find_package(opentelemetry-cpp CONFIG REQUIRED)` and add compile definition `XRPL_ENABLE_TELEMETRY`
- When OFF, do nothing (zero build impact)
- Verify the build succeeds with `-DXRPL_ENABLE_TELEMETRY=OFF` (no regressions) and with `-DXRPL_ENABLE_TELEMETRY=ON` (SDK links successfully).
**Key files**:
- `conanfile.py`
- `CMakeLists.txt`
**Reference**:
- [05-configuration-reference.md §5.4](./05-configuration-reference.md) — CMake integration, `FindOpenTelemetry.cmake`, `XRPL_ENABLE_TELEMETRY` option
- [03-implementation-strategy.md §3.2](./03-implementation-strategy.md) — Key principle: zero-cost when disabled via compile-time flags
- [02-design-decisions.md §2.1](./02-design-decisions.md) — SDK selection rationale and required OTel components
---
## Task 2: Create Core Telemetry Interface and NullTelemetry
**Objective**: Define the `Telemetry` abstract interface and a no-op implementation so the rest of the codebase can reference telemetry without hard-depending on the OTel SDK.
**What to do**:
- Create `include/xrpl/telemetry/Telemetry.h`:
- Define `namespace xrpl::telemetry`
- Define `struct Telemetry::Setup` holding: `enabled`, `exporterEndpoint`, `samplingRatio`, `serviceName`, `serviceVersion`, `serviceInstanceId`, `traceRpc`, `traceTransactions`, `traceConsensus`, `tracePeer`
- Define abstract `class Telemetry` with:
- `virtual void start() = 0;`
- `virtual void stop() = 0;`
- `virtual bool isEnabled() const = 0;`
- `virtual nostd::shared_ptr<Tracer> getTracer(string_view name = "rippled") = 0;`
- `virtual nostd::shared_ptr<Span> startSpan(string_view name, SpanKind kind = kInternal) = 0;`
- `virtual nostd::shared_ptr<Span> startSpan(string_view name, Context const& parentContext, SpanKind kind = kInternal) = 0;`
- `virtual bool shouldTraceRpc() const = 0;`
- `virtual bool shouldTraceTransactions() const = 0;`
- `virtual bool shouldTraceConsensus() const = 0;`
- Factory: `std::unique_ptr<Telemetry> make_Telemetry(Setup const&, beast::Journal);`
- Config parser: `Telemetry::Setup setup_Telemetry(Section const&, std::string const& nodePublicKey, std::string const& version);`
- Create `include/xrpl/telemetry/SpanGuard.h`:
- RAII guard that takes an `nostd::shared_ptr<Span>`, creates a `Scope`, and calls `span->End()` in destructor.
- Convenience: `setAttribute()`, `setOk()`, `setStatus()`, `addEvent()`, `recordException()`, `context()`
- See [04-code-samples.md](./04-code-samples.md) §4.2 for the full implementation.
- Create `src/libxrpl/telemetry/NullTelemetry.cpp`:
- Implements `Telemetry` with all no-ops.
- `isEnabled()` returns `false`, `startSpan()` returns a noop span.
- This is used when `XRPL_ENABLE_TELEMETRY` is OFF or `enabled=0` in config.
- Guard all OTel SDK headers behind `#ifdef XRPL_ENABLE_TELEMETRY`. The `NullTelemetry` implementation should compile without the OTel SDK present.
**Key new files**:
- `include/xrpl/telemetry/Telemetry.h`
- `include/xrpl/telemetry/SpanGuard.h`
- `src/libxrpl/telemetry/NullTelemetry.cpp`
**Reference**:
- [04-code-samples.md §4.1](./04-code-samples.md) — Full `Telemetry` interface with `Setup` struct, lifecycle, tracer access, span creation, and component filtering methods
- [04-code-samples.md §4.2](./04-code-samples.md) — Full `SpanGuard` RAII implementation and `NullSpanGuard` no-op class
- [03-implementation-strategy.md §3.1](./03-implementation-strategy.md) — Directory structure: `include/xrpl/telemetry/` for headers, `src/libxrpl/telemetry/` for implementation
- [03-implementation-strategy.md §3.7.3](./03-implementation-strategy.md) — Conditional instrumentation and zero-cost compile-time disabled pattern
---
## Task 3: Implement OTel-Backed Telemetry
**Objective**: Implement the real `Telemetry` class that initializes the OTel SDK, configures the OTLP exporter and batch processor, and creates tracers/spans.
**What to do**:
- Create `src/libxrpl/telemetry/Telemetry.cpp` (compiled only when `XRPL_ENABLE_TELEMETRY=ON`):
- `class TelemetryImpl : public Telemetry` that:
- In `start()`: creates a `TracerProvider` with:
- Resource attributes: `service.name`, `service.version`, `service.instance.id`
- An `OtlpGrpcExporter` pointed at `setup.exporterEndpoint` (default `localhost:4317`)
- A `BatchSpanProcessor` with configurable batch size and delay
- A `TraceIdRatioBasedSampler` using `setup.samplingRatio`
- Sets the global `TracerProvider`
- In `stop()`: calls `ForceFlush()` then shuts down the provider
- In `startSpan()`: delegates to `getTracer()->StartSpan(name, ...)`
- `shouldTraceRpc()` etc. read from `Setup` fields
- Create `src/libxrpl/telemetry/TelemetryConfig.cpp`:
- `setup_Telemetry()` parses the `[telemetry]` config section from `xrpld.cfg`
- Maps config keys: `enabled`, `exporter`, `endpoint`, `sampling_ratio`, `trace_rpc`, `trace_transactions`, `trace_consensus`, `trace_peer`
- Wire `make_Telemetry()` factory:
- If `setup.enabled` is true AND `XRPL_ENABLE_TELEMETRY` is defined: return `TelemetryImpl`
- Otherwise: return `NullTelemetry`
- Add telemetry source files to CMake. When `XRPL_ENABLE_TELEMETRY=ON`, compile `Telemetry.cpp` and `TelemetryConfig.cpp` and link against `opentelemetry-cpp::api`, `opentelemetry-cpp::sdk`, `opentelemetry-cpp::otlp_grpc_exporter`. When OFF, compile only `NullTelemetry.cpp`.
**Key new files**:
- `src/libxrpl/telemetry/Telemetry.cpp`
- `src/libxrpl/telemetry/TelemetryConfig.cpp`
**Key modified files**:
- `CMakeLists.txt` (add telemetry library target)
**Reference**:
- [04-code-samples.md §4.1](./04-code-samples.md) — `Telemetry` interface that `TelemetryImpl` must implement
- [05-configuration-reference.md §5.2](./05-configuration-reference.md) — `setup_Telemetry()` config parser implementation
- [02-design-decisions.md §2.2](./02-design-decisions.md) — OTLP/gRPC exporter config (endpoint, TLS options)
- [02-design-decisions.md §2.4.1](./02-design-decisions.md) — Resource attributes: `service.name`, `service.version`, `service.instance.id`, `xrpl.network.id`
- [03-implementation-strategy.md §3.4](./03-implementation-strategy.md) — Per-operation CPU costs and overhead budget for span creation
- [03-implementation-strategy.md §3.5](./03-implementation-strategy.md) — Memory overhead: static (~456 KB) and dynamic (~1.2 MB) budgets
---
## Task 4: Integrate Telemetry into Application Lifecycle
**Objective**: Wire the `Telemetry` object into `Application` so all components can access it.
**What to do**:
- Edit `src/xrpld/app/main/Application.h`:
- Forward-declare `namespace xrpl::telemetry { class Telemetry; }`
- Add pure virtual method: `virtual telemetry::Telemetry& getTelemetry() = 0;`
- Edit `src/xrpld/app/main/Application.cpp` (the `ApplicationImp` class):
- Add member: `std::unique_ptr<telemetry::Telemetry> telemetry_;`
- In the constructor, after config is loaded and node identity is known:
```cpp
auto const telemetrySection = config_->section("telemetry");
auto telemetrySetup = telemetry::setup_Telemetry(
telemetrySection,
toBase58(TokenType::NodePublic, nodeIdentity_.publicKey()),
BuildInfo::getVersionString());
telemetry_ = telemetry::make_Telemetry(telemetrySetup, logs_->journal("Telemetry"));
```
- In `start()`: call `telemetry_->start()` early
- In `stop()` or destructor: call `telemetry_->stop()` late (to flush pending spans)
- Implement `getTelemetry()` override: return `*telemetry_`
- Add `[telemetry]` section to the example config `cfg/rippled-example.cfg`:
```ini
# [telemetry]
# enabled=1
# endpoint=localhost:4317
# sampling_ratio=1.0
# trace_rpc=1
```
**Key modified files**:
- `src/xrpld/app/main/Application.h`
- `src/xrpld/app/main/Application.cpp`
- `cfg/rippled-example.cfg` (or equivalent example config)
**Reference**:
- [05-configuration-reference.md §5.3](./05-configuration-reference.md) — `ApplicationImp` changes: member declaration, constructor init, `start()`/`stop()` wiring, `getTelemetry()` override
- [05-configuration-reference.md §5.1](./05-configuration-reference.md) — `[telemetry]` config section format and all option defaults
- [03-implementation-strategy.md §3.9.2](./03-implementation-strategy.md) — File impact assessment: `Application.cpp` ~15 lines added, ~3 changed (Low risk)
---
## Task 5: Create Instrumentation Macros
**Objective**: Define convenience macros that make instrumenting code one-liners, and that compile to zero-cost no-ops when telemetry is disabled.
**What to do**:
- Create `src/xrpld/telemetry/TracingInstrumentation.h`:
- When `XRPL_ENABLE_TELEMETRY` is defined:
```cpp
#define XRPL_TRACE_SPAN(telemetry, name) \
auto _xrpl_span_ = (telemetry).startSpan(name); \
::xrpl::telemetry::SpanGuard _xrpl_guard_(_xrpl_span_)
#define XRPL_TRACE_RPC(telemetry, name) \
std::optional<::xrpl::telemetry::SpanGuard> _xrpl_guard_; \
if ((telemetry).shouldTraceRpc()) { \
_xrpl_guard_.emplace((telemetry).startSpan(name)); \
}
#define XRPL_TRACE_SET_ATTR(key, value) \
if (_xrpl_guard_.has_value()) { \
_xrpl_guard_->setAttribute(key, value); \
}
#define XRPL_TRACE_EXCEPTION(e) \
if (_xrpl_guard_.has_value()) { \
_xrpl_guard_->recordException(e); \
}
```
- When `XRPL_ENABLE_TELEMETRY` is NOT defined, all macros expand to `((void)0)`
**Key new file**:
- `src/xrpld/telemetry/TracingInstrumentation.h`
**Reference**:
- [04-code-samples.md §4.3](./04-code-samples.md) — Full macro definitions for `XRPL_TRACE_SPAN`, `XRPL_TRACE_RPC`, `XRPL_TRACE_CONSENSUS`, `XRPL_TRACE_SET_ATTR`, `XRPL_TRACE_EXCEPTION` with both enabled and disabled branches
- [03-implementation-strategy.md §3.7.3](./03-implementation-strategy.md) — Conditional instrumentation pattern: compile-time `#ifndef` and runtime `shouldTrace*()` checks
- [03-implementation-strategy.md §3.9.7](./03-implementation-strategy.md) — Before/after code examples showing minimal intrusiveness (~1-3 lines per instrumentation point)
---
## Task 6: Instrument RPC ServerHandler
**Objective**: Add tracing to the HTTP RPC entry point so every incoming RPC request creates a span.
**What to do**:
- Edit `src/xrpld/rpc/detail/ServerHandler.cpp`:
- `#include` the `TracingInstrumentation.h` header
- In `ServerHandler::onRequest(Session& session)`:
- At the top of the method, add: `XRPL_TRACE_RPC(app_.getTelemetry(), "rpc.request");`
- After the RPC command name is extracted, set attribute: `XRPL_TRACE_SET_ATTR("xrpl.rpc.command", command);`
- After the response status is known, set: `XRPL_TRACE_SET_ATTR("http.status_code", static_cast<int64_t>(statusCode));`
- Wrap error paths with: `XRPL_TRACE_EXCEPTION(e);`
- In `ServerHandler::processRequest(...)`:
- Add a child span: `XRPL_TRACE_RPC(app_.getTelemetry(), "rpc.process");`
- Set method attribute: `XRPL_TRACE_SET_ATTR("xrpl.rpc.method", request_method);`
- In `ServerHandler::onWSMessage(...)` (WebSocket path):
- Add: `XRPL_TRACE_RPC(app_.getTelemetry(), "rpc.ws.message");`
- The goal is to see spans like:
```
rpc.request
└── rpc.process
```
in Jaeger for every HTTP RPC call.
**Key modified file**:
- `src/xrpld/rpc/detail/ServerHandler.cpp` (~15-25 lines added)
**Reference**:
- [04-code-samples.md §4.5.3](./04-code-samples.md) — Complete `ServerHandler::onRequest()` instrumented code sample with W3C header extraction, span creation, attribute setting, and error handling
- [01-architecture-analysis.md §1.5](./01-architecture-analysis.md) — RPC request flow diagram: HTTP request -> attributes -> jobqueue.enqueue -> rpc.command -> response
- [01-architecture-analysis.md §1.6](./01-architecture-analysis.md) — Key trace points table: `rpc.request` in `ServerHandler.cpp::onRequest()` (Priority: High)
- [02-design-decisions.md §2.3](./02-design-decisions.md) — Span naming convention: `rpc.request`, `rpc.command.*`
- [02-design-decisions.md §2.4.2](./02-design-decisions.md) — RPC span attributes: `xrpl.rpc.command`, `xrpl.rpc.version`, `xrpl.rpc.role`, `xrpl.rpc.params`
- [03-implementation-strategy.md §3.9.2](./03-implementation-strategy.md) — File impact: `ServerHandler.cpp` ~40 lines added, ~10 changed (Low risk)
---
## Task 7: Instrument RPC Command Execution
**Objective**: Add per-command tracing inside the RPC handler so each command (e.g., `submit`, `account_info`, `server_info`) gets its own child span.
**What to do**:
- Edit `src/xrpld/rpc/detail/RPCHandler.cpp`:
- `#include` the `TracingInstrumentation.h` header
- In `doCommand(RPC::JsonContext& context, Json::Value& result)`:
- At the top: `XRPL_TRACE_RPC(context.app.getTelemetry(), "rpc.command." + context.method);`
- Set attributes:
- `XRPL_TRACE_SET_ATTR("xrpl.rpc.command", context.method);`
- `XRPL_TRACE_SET_ATTR("xrpl.rpc.version", static_cast<int64_t>(context.apiVersion));`
- `XRPL_TRACE_SET_ATTR("xrpl.rpc.role", (context.role == Role::ADMIN) ? "admin" : "user");`
- On success: `XRPL_TRACE_SET_ATTR("xrpl.rpc.status", "success");`
- On error: `XRPL_TRACE_SET_ATTR("xrpl.rpc.status", "error");` and set the error message
- After this, traces in Jaeger should look like:
```
rpc.request (xrpl.rpc.command=account_info)
└── rpc.process
└── rpc.command.account_info (xrpl.rpc.version=2, xrpl.rpc.role=user, xrpl.rpc.status=success)
```
**Key modified file**:
- `src/xrpld/rpc/detail/RPCHandler.cpp` (~15-20 lines added)
**Reference**:
- [04-code-samples.md §4.5.3](./04-code-samples.md) — `ServerHandler::onRequest()` code sample (includes child span pattern for `rpc.command.*`)
- [02-design-decisions.md §2.3](./02-design-decisions.md) — Span naming: `rpc.command.*` pattern with dynamic command name (e.g., `rpc.command.server_info`)
- [02-design-decisions.md §2.4.2](./02-design-decisions.md) — RPC attribute schema: `xrpl.rpc.command`, `xrpl.rpc.version`, `xrpl.rpc.role`, `xrpl.rpc.status`
- [01-architecture-analysis.md §1.6](./01-architecture-analysis.md) — Key trace points table: `rpc.command.*` in `RPCHandler.cpp::doCommand()` (Priority: High)
- [02-design-decisions.md §2.6.5](./02-design-decisions.md) — Correlation with PerfLog: how `doCommand()` can link trace_id with existing PerfLog entries
- [03-implementation-strategy.md §3.4.4](./03-implementation-strategy.md) — RPC request overhead budget: ~1.75 μs total per request
---
## Task 8: Build, Run, and Verify End-to-End
**Objective**: Prove the full pipeline works: rippled emits traces -> OTel Collector receives them -> Jaeger displays them.
**What to do**:
1. **Start the Docker stack**:
```bash
docker compose -f docker/telemetry/docker-compose.yml up -d
```
Verify Collector health: `curl http://localhost:13133`
2. **Build rippled with telemetry**:
```bash
# Adjust for your actual build workflow
conan install . --build=missing -o with_telemetry=True
cmake --preset default -DXRPL_ENABLE_TELEMETRY=ON
cmake --build --preset default
```
3. **Configure rippled**:
Add to `rippled.cfg` (or your local test config):
```ini
[telemetry]
enabled=1
endpoint=localhost:4317
sampling_ratio=1.0
trace_rpc=1
```
4. **Start rippled** in standalone mode:
```bash
./rippled --conf rippled.cfg -a --start
```
5. **Generate RPC traffic**:
```bash
# server_info
curl -s -X POST http://localhost:5005 \
-H "Content-Type: application/json" \
-d '{"method":"server_info","params":[{}]}'
# ledger
curl -s -X POST http://localhost:5005 \
-H "Content-Type: application/json" \
-d '{"method":"ledger","params":[{"ledger_index":"current"}]}'
# account_info (will error in standalone, that's fine — we trace errors too)
curl -s -X POST http://localhost:5005 \
-H "Content-Type: application/json" \
-d '{"method":"account_info","params":[{"account":"rHb9CJAWyB4rj91VRWn96DkukG4bwdtyTh"}]}'
```
6. **Verify in Jaeger**:
- Open `http://localhost:16686`
- Select service `rippled` from the dropdown
- Click "Find Traces"
- Confirm you see traces with spans: `rpc.request` -> `rpc.process` -> `rpc.command.server_info`
- Click into a trace and verify attributes: `xrpl.rpc.command`, `xrpl.rpc.status`, `xrpl.rpc.version`
7. **Verify zero-overhead when disabled**:
- Rebuild with `XRPL_ENABLE_TELEMETRY=OFF`, or set `enabled=0` in config
- Run the same RPC calls
- Confirm no new traces appear and no errors in rippled logs
**Verification Checklist**:
- [ ] Docker stack starts without errors
- [ ] rippled builds with `-DXRPL_ENABLE_TELEMETRY=ON`
- [ ] rippled starts and connects to OTel Collector (check rippled logs for telemetry messages)
- [ ] Traces appear in Jaeger UI under service "rippled"
- [ ] Span hierarchy is correct (parent-child relationships)
- [ ] Span attributes are populated (`xrpl.rpc.command`, `xrpl.rpc.status`, etc.)
- [ ] Error spans show error status and message
- [ ] Building with `XRPL_ENABLE_TELEMETRY=OFF` produces no regressions
- [ ] Setting `enabled=0` at runtime produces no traces and no errors
**Reference**:
- [06-implementation-phases.md §6.11.1](./06-implementation-phases.md) — Phase 1 definition of done: SDK compiles, runtime toggle works, span creation verified in Jaeger, config validation passes
- [06-implementation-phases.md §6.11.2](./06-implementation-phases.md) — Phase 2 definition of done: 100% RPC coverage, traceparent propagation, <1ms p99 overhead, dashboard deployed
- [06-implementation-phases.md §6.8](./06-implementation-phases.md) — Success metrics: trace coverage >95%, CPU overhead <3%, memory <5 MB, latency impact <2%
- [03-implementation-strategy.md §3.9.5](./03-implementation-strategy.md) — Backward compatibility: config optional, protocol unchanged, `XRPL_ENABLE_TELEMETRY=OFF` produces identical binary
- [01-architecture-analysis.md §1.8](./01-architecture-analysis.md) — Observable outcomes: what traces, metrics, and dashboards to expect
---
## Task 9: Document POC Results and Next Steps
**Objective**: Capture findings, screenshots, and remaining work for the team.
**What to do**:
- Take screenshots of Jaeger showing:
- The service list with "rippled"
- A trace with the full span tree
- Span detail view showing attributes
- Document any issues encountered (build issues, SDK quirks, missing attributes)
- Note performance observations (build time impact, any noticeable runtime overhead)
- Write a short summary of what the POC proves and what it doesn't cover yet:
- **Proves**: OTel SDK integrates with rippled, OTLP export works, RPC traces visible
- **Doesn't cover**: Cross-node P2P context propagation, consensus tracing, protobuf trace context, W3C traceparent header extraction, tail-based sampling, production deployment
- Outline next steps (mapping to the full plan phases):
- [Phase 2](./06-implementation-phases.md) completion: [W3C header extraction](./02-design-decisions.md) (§2.5), WebSocket tracing, all [RPC handlers](./01-architecture-analysis.md) (§1.6)
- [Phase 3](./06-implementation-phases.md): [Protobuf `TraceContext` message](./04-code-samples.md) (§4.4), [transaction relay tracing](./04-code-samples.md) (§4.5.1) across nodes
- [Phase 4](./06-implementation-phases.md): [Consensus round and phase tracing](./04-code-samples.md) (§4.5.2)
- [Phase 5](./06-implementation-phases.md): [Production collector config](./05-configuration-reference.md) (§5.5.2), [Grafana dashboards](./07-observability-backends.md) (§7.6), [alerting](./07-observability-backends.md) (§7.6.3)
**Reference**:
- [06-implementation-phases.md §6.1](./06-implementation-phases.md) — Full 5-phase timeline overview and Gantt chart
- [06-implementation-phases.md §6.10](./06-implementation-phases.md) — Crawl-Walk-Run strategy: POC is the CRAWL phase, next steps are WALK and RUN
- [06-implementation-phases.md §6.12](./06-implementation-phases.md) — Recommended implementation order (14 steps across 9 weeks)
- [03-implementation-strategy.md §3.9](./03-implementation-strategy.md) — Code intrusiveness assessment and risk matrix for each remaining component
- [07-observability-backends.md §7.2](./07-observability-backends.md) — Production backend selection (Tempo, Elastic APM, Honeycomb, Datadog)
- [02-design-decisions.md §2.5](./02-design-decisions.md) — Context propagation design: W3C HTTP headers, protobuf P2P, JobQueue internal
- [00-tracing-fundamentals.md](./00-tracing-fundamentals.md) — Reference for team onboarding on distributed tracing concepts
---
## Summary
| Task | Description | New Files | Modified Files | Depends On |
| ---- | ------------------------------------ | --------- | -------------- | ---------- |
| 0 | Docker observability stack | 4 | 0 | — |
| 1 | OTel C++ SDK dependency | 0 | 2 | — |
| 2 | Core Telemetry interface + NullImpl | 3 | 0 | 1 |
| 3 | OTel-backed Telemetry implementation | 2 | 1 | 1, 2 |
| 4 | Application lifecycle integration | 0 | 3 | 2, 3 |
| 5 | Instrumentation macros | 1 | 0 | 2 |
| 6 | Instrument RPC ServerHandler | 0 | 1 | 4, 5 |
| 7 | Instrument RPC command execution | 0 | 1 | 4, 5 |
| 8 | End-to-end verification | 0 | 0 | 0-7 |
| 9 | Document results and next steps | 1 | 0 | 8 |
**Parallel work**: Tasks 0 and 1 can run in parallel. Tasks 2 and 5 have no dependency on each other. Tasks 6 and 7 can be done in parallel once Tasks 4 and 5 are complete.
---
## Next Steps (Post-POC)
### Metrics Pipeline for Grafana Dashboards
The current POC exports **traces only**. Grafana's Explore view can query Jaeger for individual traces, but time-series charts (latency histograms, request throughput, error rates) require a **metrics pipeline**. To enable this:
1. **Add a `spanmetrics` connector** to the OTel Collector config that derives RED metrics (Rate, Errors, Duration) from trace spans automatically:
```yaml
connectors:
spanmetrics:
histogram:
explicit:
buckets: [1ms, 5ms, 10ms, 25ms, 50ms, 100ms, 250ms, 500ms, 1s, 5s]
dimensions:
- name: xrpl.rpc.command
- name: xrpl.rpc.status
exporters:
prometheus:
endpoint: 0.0.0.0:8889
service:
pipelines:
traces:
receivers: [otlp]
processors: [batch]
exporters: [debug, otlp/jaeger, spanmetrics]
metrics:
receivers: [spanmetrics]
exporters: [prometheus]
```
2. **Add Prometheus** to the Docker Compose stack to scrape the collector's metrics endpoint.
3. **Add Prometheus as a Grafana datasource** and build dashboards for:
- RPC request latency (p50/p95/p99) by command
- RPC throughput (requests/sec) by command
- Error rate by command
- Span duration distribution
### Additional Instrumentation
- **W3C `traceparent` header extraction** in `ServerHandler` to support cross-service context propagation from external callers
- **WebSocket RPC tracing** in `ServerHandler::onWSMessage()`
- **Transaction relay tracing** across nodes using protobuf `TraceContext` messages
- **Consensus round and phase tracing** for validator coordination visibility
- **Ledger close tracing** to measure close-to-validated latency
### Production Hardening
- **Tail-based sampling** in the OTel Collector to reduce volume while retaining error/slow traces
- **TLS configuration** for the OTLP exporter in production deployments
- **Resource limits** on the batch processor queue to prevent unbounded memory growth
- **Health monitoring** for the telemetry pipeline itself (collector lag, export failures)
### POC Lessons Learned
Issues encountered during POC implementation that inform future work:
| Issue | Resolution | Impact on Future Work |
| -------------------------------------------------------------------------------------------------- | ----------------------------------------------------------------------------- | ---------------------------------------------------------------- |
| Conan lockfile rejected `opentelemetry-cpp/1.18.0` | Used `--lockfile=""` to bypass | Lockfile must be regenerated when adding new dependencies |
| Conan package only builds OTLP HTTP exporter, not gRPC | Switched from gRPC to HTTP exporter (`localhost:4318/v1/traces`) | HTTP exporter is the default; gRPC requires custom Conan profile |
| CMake target `opentelemetry-cpp::api` etc. don't exist in Conan package | Use umbrella target `opentelemetry-cpp::opentelemetry-cpp` | Conan targets differ from upstream CMake targets |
| OTel Collector `logging` exporter deprecated | Renamed to `debug` exporter | Use `debug` in all collector configs going forward |
| Macro parameter `telemetry` collided with `::xrpl::telemetry::` namespace | Renamed macro params to `_tel_obj_`, `_span_name_` | Avoid common words as macro parameter names |
| `opentelemetry::trace::Scope` creates new context on move | Store scope as member, create once in constructor | SpanGuard move semantics need care with Scope lifecycle |
| `TracerProviderFactory::Create` returns `unique_ptr<sdk::TracerProvider>`, not `nostd::shared_ptr` | Use `std::shared_ptr` member, wrap in `nostd::shared_ptr` for global provider | OTel SDK factory return types don't match API provider types |

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# Phase 2: RPC Tracing Completion Task List
> **Goal**: Complete full RPC tracing coverage with W3C Trace Context propagation, unit tests, and performance validation. Build on the POC foundation to achieve production-quality RPC observability.
>
> **Scope**: W3C header extraction, TraceContext propagation utilities, unit tests for core telemetry, integration tests for RPC tracing, and performance benchmarks.
>
> **Branch**: `pratik/otel-phase2-rpc-tracing` (from `pratik/OpenTelemetry_and_DistributedTracing_planning`)
### Related Plan Documents
| Document | Relevance |
| ------------------------------------------------------------ | ------------------------------------------------------------- |
| [04-code-samples.md](./04-code-samples.md) | TraceContextPropagator (§4.4.2), RPC instrumentation (§4.5.3) |
| [02-design-decisions.md](./02-design-decisions.md) | W3C Trace Context (§2.5), span attributes (§2.4.2) |
| [06-implementation-phases.md](./06-implementation-phases.md) | Phase 2 tasks (§6.3), definition of done (§6.11.2) |
---
## Task 2.1: Implement W3C Trace Context HTTP Header Extraction
**Objective**: Extract `traceparent` and `tracestate` headers from incoming HTTP RPC requests so external callers can propagate their trace context into rippled.
**What to do**:
- Create `include/xrpl/telemetry/TraceContextPropagator.h`:
- `extractFromHeaders(headerGetter)` - extract W3C traceparent/tracestate from HTTP headers
- `injectToHeaders(ctx, headerSetter)` - inject trace context into response headers
- Use OTel's `TextMapPropagator` with `W3CTraceContextPropagator` for standards compliance
- Only compiled when `XRPL_ENABLE_TELEMETRY` is defined
- Create `src/libxrpl/telemetry/TraceContextPropagator.cpp`:
- Implement a simple `TextMapCarrier` adapter for HTTP headers
- Use `opentelemetry::context::propagation::GlobalTextMapPropagator` for extraction/injection
- Register the W3C propagator in `TelemetryImpl::start()`
- Modify `src/xrpld/rpc/detail/ServerHandler.cpp`:
- In the HTTP request handler, extract parent context from headers before creating span
- Pass extracted context to `startSpan()` as parent
- Inject trace context into response headers
**Key new files**:
- `include/xrpl/telemetry/TraceContextPropagator.h`
- `src/libxrpl/telemetry/TraceContextPropagator.cpp`
**Key modified files**:
- `src/xrpld/rpc/detail/ServerHandler.cpp`
- `src/libxrpl/telemetry/Telemetry.cpp` (register W3C propagator)
**Reference**:
- [04-code-samples.md §4.4.2](./04-code-samples.md) — TraceContextPropagator with extractFromHeaders/injectToHeaders
- [02-design-decisions.md §2.5](./02-design-decisions.md) — W3C Trace Context propagation design
---
## Task 2.2: Add XRPL_TRACE_PEER Macro
**Objective**: Add the missing peer-tracing macro for future Phase 3 use and ensure macro completeness.
**What to do**:
- Edit `src/xrpld/telemetry/TracingInstrumentation.h`:
- Add `XRPL_TRACE_PEER(_tel_obj_, _span_name_)` macro that checks `shouldTracePeer()`
- Add `XRPL_TRACE_LEDGER(_tel_obj_, _span_name_)` macro (for future ledger tracing)
- Ensure disabled variants expand to `((void)0)`
**Key modified file**:
- `src/xrpld/telemetry/TracingInstrumentation.h`
---
## Task 2.3: Add shouldTraceLedger() to Telemetry Interface
**Objective**: The `Setup` struct has a `traceLedger` field but there's no corresponding virtual method. Add it for interface completeness.
**What to do**:
- Edit `include/xrpl/telemetry/Telemetry.h`:
- Add `virtual bool shouldTraceLedger() const = 0;`
- Update all implementations:
- `src/libxrpl/telemetry/Telemetry.cpp` (TelemetryImpl, NullTelemetryOtel)
- `src/libxrpl/telemetry/NullTelemetry.cpp` (NullTelemetry)
**Key modified files**:
- `include/xrpl/telemetry/Telemetry.h`
- `src/libxrpl/telemetry/Telemetry.cpp`
- `src/libxrpl/telemetry/NullTelemetry.cpp`
---
## Task 2.4: Unit Tests for Core Telemetry Infrastructure
**Objective**: Add unit tests for the core telemetry abstractions to validate correctness and catch regressions.
**What to do**:
- Create `src/test/telemetry/Telemetry_test.cpp`:
- Test NullTelemetry: verify all methods return expected no-op values
- Test Setup defaults: verify all Setup fields have correct defaults
- Test setup_Telemetry config parser: verify parsing of [telemetry] section
- Test enabled/disabled factory paths
- Test shouldTrace\* methods respect config flags
- Create `src/test/telemetry/SpanGuard_test.cpp`:
- Test SpanGuard RAII lifecycle (span ends on destruction)
- Test move constructor works correctly
- Test setAttribute, setOk, setStatus, addEvent, recordException
- Test context() returns valid context
- Add test files to CMake build
**Key new files**:
- `src/test/telemetry/Telemetry_test.cpp`
- `src/test/telemetry/SpanGuard_test.cpp`
**Reference**:
- [06-implementation-phases.md §6.11.1](./06-implementation-phases.md) — Phase 1 exit criteria (unit tests passing)
---
## Task 2.5: Enhance RPC Span Attributes
**Objective**: Add additional attributes to RPC spans per the semantic conventions defined in the plan.
**What to do**:
- Edit `src/xrpld/rpc/detail/ServerHandler.cpp`:
- Add `http.method` attribute for HTTP requests
- Add `http.status_code` attribute for responses
- Add `net.peer.ip` attribute for client IP (if available)
- Edit `src/xrpld/rpc/detail/RPCHandler.cpp`:
- Add `xrpl.rpc.duration_ms` attribute on completion
- Add error message attribute on failure: `xrpl.rpc.error_message`
**Key modified files**:
- `src/xrpld/rpc/detail/ServerHandler.cpp`
- `src/xrpld/rpc/detail/RPCHandler.cpp`
**Reference**:
- [02-design-decisions.md §2.4.2](./02-design-decisions.md) — RPC attribute schema
---
## Task 2.6: Build Verification and Performance Baseline
**Objective**: Verify the build succeeds with and without telemetry, and establish a performance baseline.
**What to do**:
1. Build with `telemetry=ON` and verify no compilation errors
2. Build with `telemetry=OFF` and verify no regressions
3. Run existing unit tests to verify no breakage
4. Document any build issues in lessons.md
**Verification Checklist**:
- [ ] `conan install . --build=missing -o telemetry=True` succeeds
- [ ] `cmake --preset default -Dtelemetry=ON` configures correctly
- [ ] Build succeeds with telemetry ON
- [ ] Build succeeds with telemetry OFF
- [ ] Existing tests pass with telemetry ON
- [ ] Existing tests pass with telemetry OFF
---
## Summary
| Task | Description | New Files | Modified Files | Depends On |
| ---- | ------------------------------------------- | --------- | -------------- | ---------- |
| 2.1 | W3C Trace Context header extraction | 2 | 2 | POC |
| 2.2 | Add XRPL_TRACE_PEER/LEDGER macros | 0 | 1 | POC |
| 2.3 | Add shouldTraceLedger() interface method | 0 | 3 | POC |
| 2.4 | Unit tests for core telemetry | 2 | 1 | POC |
| 2.5 | Enhanced RPC span attributes | 0 | 2 | POC |
| 2.6 | Build verification and performance baseline | 0 | 0 | 2.1-2.5 |
**Parallel work**: Tasks 2.1, 2.2, 2.3 can run in parallel. Task 2.4 depends on 2.3. Task 2.5 can run in parallel with 2.4. Task 2.6 depends on all others.
---
## Known Issues / Future Work
### Thread safety of TelemetryImpl::stop() vs startSpan()
`TelemetryImpl::stop()` resets `sdkProvider_` (a `std::shared_ptr`) without
synchronization. `getTracer()` reads the same member from RPC handler threads.
This is a data race if any thread calls `startSpan()` concurrently with `stop()`.
**Current mitigation**: `Application::stop()` shuts down `serverHandler_`,
`overlay_`, and `jobQueue_` before calling `telemetry_->stop()`, so no callers
remain. See comments in `Telemetry.cpp:stop()` and `Application.cpp`.
**TODO**: Add an `std::atomic<bool> stopped_` flag checked in `getTracer()` to
make this robust against future shutdown order changes.
### Macro incompatibility: XRPL_TRACE_SPAN vs XRPL_TRACE_SET_ATTR
`XRPL_TRACE_SPAN` and `XRPL_TRACE_SPAN_KIND` declare `_xrpl_guard_` as a bare
`SpanGuard`, but `XRPL_TRACE_SET_ATTR` and `XRPL_TRACE_EXCEPTION` call
`_xrpl_guard_.has_value()` which requires `std::optional<SpanGuard>`. Using
`XRPL_TRACE_SPAN` followed by `XRPL_TRACE_SET_ATTR` in the same scope would
fail to compile.
**Current mitigation**: No call site currently uses `XRPL_TRACE_SPAN` — all
production code uses the conditional macros (`XRPL_TRACE_RPC`, `XRPL_TRACE_TX`,
etc.) which correctly wrap the guard in `std::optional`.
**TODO**: Either make `XRPL_TRACE_SPAN`/`XRPL_TRACE_SPAN_KIND` also wrap in
`std::optional`, or document that `XRPL_TRACE_SET_ATTR` is only compatible with
the conditional macros.

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# Phase 3: Transaction Tracing Task List
> **Goal**: Trace the full transaction lifecycle from RPC submission through peer relay, including cross-node context propagation via Protocol Buffer extensions. This is the WALK phase that demonstrates true distributed tracing.
>
> **Scope**: Protocol Buffer `TraceContext` message, context serialization, PeerImp transaction instrumentation, NetworkOPs processing instrumentation, HashRouter visibility, and multi-node relay context propagation.
>
> **Branch**: `pratik/otel-phase3-tx-tracing` (from `pratik/otel-phase2-rpc-tracing`)
### Related Plan Documents
| Document | Relevance |
| ------------------------------------------------------------ | ------------------------------------------------------------------------------------------------ |
| [04-code-samples.md](./04-code-samples.md) | TraceContext protobuf (§4.4.1), PeerImp instrumentation (§4.5.1), context serialization (§4.4.2) |
| [01-architecture-analysis.md](./01-architecture-analysis.md) | Transaction flow (§1.3), key trace points (§1.6) |
| [06-implementation-phases.md](./06-implementation-phases.md) | Phase 3 tasks (§6.4), definition of done (§6.11.3) |
| [02-design-decisions.md](./02-design-decisions.md) | Context propagation design (§2.5), attribute schema (§2.4.3) |
---
## Task 3.1: Define TraceContext Protocol Buffer Message
**Objective**: Add trace context fields to the P2P protocol messages so trace IDs can propagate across nodes.
**What to do**:
- Edit `include/xrpl/proto/xrpl.proto` (or `src/ripple/proto/ripple.proto`, wherever the proto is):
- Add `TraceContext` message definition:
```protobuf
message TraceContext {
bytes trace_id = 1; // 16-byte trace identifier
bytes span_id = 2; // 8-byte span identifier
uint32 trace_flags = 3; // bit 0 = sampled
string trace_state = 4; // W3C tracestate value
}
```
- Add `optional TraceContext trace_context = 1001;` to:
- `TMTransaction`
- `TMProposeSet` (for Phase 4 use)
- `TMValidation` (for Phase 4 use)
- Use high field numbers (1001+) to avoid conflicts with existing fields
- Regenerate protobuf C++ code
**Key modified files**:
- `include/xrpl/proto/xrpl.proto` (or equivalent)
**Reference**:
- [04-code-samples.md §4.4.1](./04-code-samples.md) — TraceContext message definition
- [02-design-decisions.md §2.5.2](./02-design-decisions.md) — Protocol buffer context propagation design
---
## Task 3.2: Implement Protobuf Context Serialization
**Objective**: Create utilities to serialize/deserialize OTel trace context to/from protobuf `TraceContext` messages.
**What to do**:
- Create `include/xrpl/telemetry/TraceContextPropagator.h` (extend from Phase 2 if exists, or add protobuf methods):
- Add protobuf-specific methods:
- `static Context extractFromProtobuf(protocol::TraceContext const& proto)` — reconstruct OTel context from protobuf fields
- `static void injectToProtobuf(Context const& ctx, protocol::TraceContext& proto)` — serialize current span context into protobuf fields
- Both methods guard behind `#ifdef XRPL_ENABLE_TELEMETRY`
- Create/extend `src/libxrpl/telemetry/TraceContextPropagator.cpp`:
- Implement extraction: read trace_id (16 bytes), span_id (8 bytes), trace_flags from protobuf, construct `SpanContext`, wrap in `Context`
- Implement injection: get current span from context, serialize its TraceId, SpanId, and TraceFlags into protobuf fields
**Key new/modified files**:
- `include/xrpl/telemetry/TraceContextPropagator.h`
- `src/libxrpl/telemetry/TraceContextPropagator.cpp`
**Reference**:
- [04-code-samples.md §4.4.2](./04-code-samples.md) — Full extract/inject implementation
---
## Task 3.3: Instrument PeerImp Transaction Handling
**Objective**: Add trace spans to the peer-level transaction receive and relay path.
**What to do**:
- Edit `src/xrpld/overlay/detail/PeerImp.cpp`:
- In `onMessage(TMTransaction)` / `handleTransaction()`:
- Extract parent trace context from incoming `TMTransaction::trace_context` field (if present)
- Create `tx.receive` span as child of extracted context (or new root if none)
- Set attributes: `xrpl.tx.hash`, `xrpl.peer.id`, `xrpl.tx.status`
- On HashRouter suppression (duplicate): set `xrpl.tx.suppressed=true`, add `tx.duplicate` event
- Wrap validation call with child span `tx.validate`
- Wrap relay with `tx.relay` span
- When relaying to peers:
- Inject current trace context into outgoing `TMTransaction::trace_context`
- Set `xrpl.tx.relay_count` attribute
- Include `TracingInstrumentation.h` and use `XRPL_TRACE_TX` macro
**Key modified files**:
- `src/xrpld/overlay/detail/PeerImp.cpp`
**Reference**:
- [04-code-samples.md §4.5.1](./04-code-samples.md) — Full PeerImp instrumentation example
- [01-architecture-analysis.md §1.3](./01-architecture-analysis.md) — Transaction flow diagram
- [01-architecture-analysis.md §1.6](./01-architecture-analysis.md) — tx.receive trace point
---
## Task 3.4: Instrument NetworkOPs Transaction Processing
**Objective**: Trace the transaction processing pipeline in NetworkOPs, covering both sync and async paths.
**What to do**:
- Edit `src/xrpld/app/misc/NetworkOPs.cpp`:
- In `processTransaction()`:
- Create `tx.process` span
- Set attributes: `xrpl.tx.hash`, `xrpl.tx.type`, `xrpl.tx.local` (whether from RPC or peer)
- Record whether sync or async path is taken
- In `doTransactionAsync()`:
- Capture parent context before queuing
- Create `tx.queue` span with queue depth attribute
- Add event when transaction is dequeued for processing
- In `doTransactionSync()`:
- Create `tx.process_sync` span
- Record result (applied, queued, rejected)
**Key modified files**:
- `src/xrpld/app/misc/NetworkOPs.cpp`
**Reference**:
- [01-architecture-analysis.md §1.6](./01-architecture-analysis.md) — tx.validate and tx.process trace points
- [02-design-decisions.md §2.4.3](./02-design-decisions.md) — Transaction attribute schema
---
## Task 3.5: Instrument HashRouter for Dedup Visibility
**Objective**: Make transaction deduplication visible in traces by recording HashRouter decisions as span attributes/events.
**What to do**:
- Edit `src/xrpld/overlay/detail/PeerImp.cpp` (in handleTransaction):
- After calling `HashRouter::shouldProcess()` or `addSuppressionPeer()`:
- Record `xrpl.tx.suppressed` attribute (true/false)
- Record `xrpl.tx.flags` showing current HashRouter state (SAVED, TRUSTED, etc.)
- Add `tx.first_seen` or `tx.duplicate` event
- This is NOT a modification to HashRouter itself — just recording its decisions as span attributes in the existing PeerImp instrumentation from Task 3.3.
**Key modified files**:
- `src/xrpld/overlay/detail/PeerImp.cpp` (same changes as 3.3, logically grouped)
---
## Task 3.6: Context Propagation in Transaction Relay
**Objective**: Ensure trace context flows correctly when transactions are relayed between peers, creating linked spans across nodes.
**What to do**:
- Verify the relay path injects trace context:
- When `PeerImp` relays a transaction, the `TMTransaction` message should carry `trace_context`
- When a remote peer receives it, the context is extracted and used as parent
- Test context propagation:
- Manually verify with 2+ node setup that trace IDs match across nodes
- Confirm parent-child span relationships are correct in Jaeger
- Handle edge cases:
- Missing trace context (older peers): create new root span
- Corrupted trace context: log warning, create new root span
- Sampled-out traces: respect trace flags
**Key modified files**:
- `src/xrpld/overlay/detail/PeerImp.cpp`
- `src/xrpld/overlay/detail/OverlayImpl.cpp` (if relay method needs context param)
**Reference**:
- [02-design-decisions.md §2.5](./02-design-decisions.md) — Context propagation design
- [04-code-samples.md §4.5.1](./04-code-samples.md) — Relay context injection pattern
---
## Task 3.7: Build Verification and Testing
**Objective**: Verify all Phase 3 changes compile and work correctly.
**What to do**:
1. Build with `telemetry=ON` — verify no compilation errors
2. Build with `telemetry=OFF` — verify no regressions
3. Run existing unit tests
4. Verify protobuf regeneration produces correct C++ code
5. Document any issues encountered
**Verification Checklist**:
- [ ] Protobuf changes generate valid C++
- [ ] Build succeeds with telemetry ON
- [ ] Build succeeds with telemetry OFF
- [ ] Existing tests pass
- [ ] No undefined symbols from new telemetry calls
---
## Summary
| Task | Description | New Files | Modified Files | Depends On |
| ---- | ----------------------------------- | --------- | -------------- | ---------- |
| 3.1 | TraceContext protobuf message | 0 | 1 | Phase 2 |
| 3.2 | Protobuf context serialization | 1-2 | 0 | 3.1 |
| 3.3 | PeerImp transaction instrumentation | 0 | 1 | 3.2 |
| 3.4 | NetworkOPs transaction processing | 0 | 1 | Phase 2 |
| 3.5 | HashRouter dedup visibility | 0 | 1 | 3.3 |
| 3.6 | Relay context propagation | 0 | 1-2 | 3.3, 3.5 |
| 3.7 | Build verification and testing | 0 | 0 | 3.1-3.6 |
**Parallel work**: Tasks 3.1 and 3.4 can start in parallel. Task 3.2 depends on 3.1. Tasks 3.3 and 3.5 depend on 3.2. Task 3.6 depends on 3.3 and 3.5.
**Exit Criteria** (from [06-implementation-phases.md §6.11.3](./06-implementation-phases.md)):
- [ ] Transaction traces span across nodes
- [ ] Trace context in Protocol Buffer messages
- [ ] HashRouter deduplication visible in traces
- [ ] <5% overhead on transaction throughput
---
## Known Issues / Future Work
### Propagation utilities not yet wired into P2P flow
`extractFromProtobuf()` and `injectToProtobuf()` in `TraceContextPropagator.h`
are implemented and tested but not called from production code. To enable
cross-node distributed traces:
- Call `injectToProtobuf()` in `PeerImp` when sending `TMTransaction` /
`TMProposeSet` messages
- Call `extractFromProtobuf()` in the corresponding message handlers to
reconstruct the parent span context, then pass it to `startSpan()` as the
parent
This was deferred to validate single-node tracing performance first.
### Unused trace_state proto field
The `TraceContext.trace_state` field (field 4) in `xrpl.proto` is reserved for
W3C `tracestate` vendor-specific key-value pairs but is not read or written by
`TraceContextPropagator`. Wire it when cross-vendor trace propagation is needed.
No wire cost since proto `optional` fields are zero-cost when absent.

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# Phase 4: Consensus Tracing Task List
> **Goal**: Full observability into consensus rounds — track round lifecycle, phase transitions, proposal handling, and validation. This is the RUN phase that completes the distributed tracing story.
>
> **Scope**: RCLConsensus instrumentation for round starts, phase transitions (open/establish/accept), proposal send/receive, validation handling, and correlation with transaction traces from Phase 3.
>
> **Branch**: `pratik/otel-phase4-consensus-tracing` (from `pratik/otel-phase3-tx-tracing`)
### Related Plan Documents
| Document | Relevance |
| ------------------------------------------------------------ | ----------------------------------------------------------- |
| [04-code-samples.md](./04-code-samples.md) | Consensus instrumentation (§4.5.2), consensus span patterns |
| [01-architecture-analysis.md](./01-architecture-analysis.md) | Consensus round flow (§1.4), key trace points (§1.6) |
| [06-implementation-phases.md](./06-implementation-phases.md) | Phase 4 tasks (§6.5), definition of done (§6.11.4) |
| [02-design-decisions.md](./02-design-decisions.md) | Consensus attribute schema (§2.4.4) |
---
## Task 4.1: Instrument Consensus Round Start
**Objective**: Create a root span for each consensus round that captures the round's key parameters.
**What to do**:
- Edit `src/xrpld/app/consensus/RCLConsensus.cpp`:
- In `RCLConsensus::startRound()` (or the Adaptor's startRound):
- Create `consensus.round` span using `XRPL_TRACE_CONSENSUS` macro
- Set attributes:
- `xrpl.consensus.ledger.prev` — previous ledger hash
- `xrpl.consensus.ledger.seq` — target ledger sequence
- `xrpl.consensus.proposers` — number of trusted proposers
- `xrpl.consensus.mode` — "proposing" or "observing"
- Store the span context for use by child spans in phase transitions
- Add a member to hold current round trace context:
- `opentelemetry::context::Context currentRoundContext_` (guarded by `#ifdef`)
- Updated at round start, used by phase transition spans
**Key modified files**:
- `src/xrpld/app/consensus/RCLConsensus.cpp`
- `src/xrpld/app/consensus/RCLConsensus.h` (add context member)
**Reference**:
- [04-code-samples.md §4.5.2](./04-code-samples.md) — startRound instrumentation example
- [01-architecture-analysis.md §1.4](./01-architecture-analysis.md) — Consensus round flow
---
## Task 4.2: Instrument Phase Transitions
**Objective**: Create child spans for each consensus phase (open, establish, accept) to show timing breakdown.
**What to do**:
- Edit `src/xrpld/app/consensus/RCLConsensus.cpp`:
- Identify where phase transitions occur (the `Consensus<Adaptor>` template drives this)
- For each phase entry:
- Create span as child of `currentRoundContext_`: `consensus.phase.open`, `consensus.phase.establish`, `consensus.phase.accept`
- Set `xrpl.consensus.phase` attribute
- Add `phase.enter` event at start, `phase.exit` event at end
- Record phase duration in milliseconds
- In the `onClose` adaptor method:
- Create `consensus.ledger_close` span
- Set attributes: close_time, mode, transaction count in initial position
- Note: The Consensus template class in `include/xrpl/consensus/Consensus.h` drives phase transitions — check if instrumentation goes there or in the Adaptor
**Key modified files**:
- `src/xrpld/app/consensus/RCLConsensus.cpp`
- Possibly `include/xrpl/consensus/Consensus.h` (for template-level phase tracking)
**Reference**:
- [04-code-samples.md §4.5.2](./04-code-samples.md) — phaseTransition instrumentation
---
## Task 4.3: Instrument Proposal Handling
**Objective**: Trace proposal send and receive to show validator coordination.
**What to do**:
- Edit `src/xrpld/app/consensus/RCLConsensus.cpp`:
- In `Adaptor::propose()`:
- Create `consensus.proposal.send` span
- Set attributes: `xrpl.consensus.round` (proposal sequence), proposal hash
- Inject trace context into outgoing `TMProposeSet::trace_context` (from Phase 3 protobuf)
- In `Adaptor::peerProposal()` (or wherever peer proposals are received):
- Extract trace context from incoming `TMProposeSet::trace_context`
- Create `consensus.proposal.receive` span as child of extracted context
- Set attributes: `xrpl.consensus.proposer` (node ID), `xrpl.consensus.round`
- In `Adaptor::share(RCLCxPeerPos)`:
- Create `consensus.proposal.relay` span for relaying peer proposals
**Key modified files**:
- `src/xrpld/app/consensus/RCLConsensus.cpp`
**Reference**:
- [04-code-samples.md §4.5.2](./04-code-samples.md) — peerProposal instrumentation
- [02-design-decisions.md §2.4.4](./02-design-decisions.md) — Consensus attribute schema
---
## Task 4.4: Instrument Validation Handling
**Objective**: Trace validation send and receive to show ledger validation flow.
**What to do**:
- Edit `src/xrpld/app/consensus/RCLConsensus.cpp` (or the validation handler):
- When sending our validation:
- Create `consensus.validation.send` span
- Set attributes: validated ledger hash, sequence, signing time
- When receiving a peer validation:
- Extract trace context from `TMValidation::trace_context` (if present)
- Create `consensus.validation.receive` span
- Set attributes: `xrpl.consensus.validator` (node ID), ledger hash
**Key modified files**:
- `src/xrpld/app/consensus/RCLConsensus.cpp`
- `src/xrpld/app/misc/NetworkOPs.cpp` (if validation handling is here)
---
## Task 4.5: Add Consensus-Specific Attributes
**Objective**: Enrich consensus spans with detailed attributes for debugging and analysis.
**What to do**:
- Review all consensus spans and ensure they include:
- `xrpl.consensus.ledger.seq` — target ledger sequence number
- `xrpl.consensus.round` — consensus round number
- `xrpl.consensus.mode` — proposing/observing/wrongLedger
- `xrpl.consensus.phase` — current phase name
- `xrpl.consensus.phase_duration_ms` — time spent in phase
- `xrpl.consensus.proposers` — number of trusted proposers
- `xrpl.consensus.tx_count` — transactions in proposed set
- `xrpl.consensus.disputes` — number of disputed transactions
- `xrpl.consensus.converge_percent` — convergence percentage
**Key modified files**:
- `src/xrpld/app/consensus/RCLConsensus.cpp`
---
## Task 4.6: Correlate Transaction and Consensus Traces
**Objective**: Link transaction traces from Phase 3 with consensus traces so you can follow a transaction from submission through consensus into the ledger.
**What to do**:
- In `onClose()` or `onAccept()`:
- When building the consensus position, link the round span to individual transaction spans using span links (if OTel SDK supports it) or events
- At minimum, record the transaction hashes included in the consensus set as span events: `tx.included` with `xrpl.tx.hash` attribute
- In `processTransactionSet()` (NetworkOPs):
- If the consensus round span context is available, create child spans for each transaction applied to the ledger
**Key modified files**:
- `src/xrpld/app/consensus/RCLConsensus.cpp`
- `src/xrpld/app/misc/NetworkOPs.cpp`
---
## Task 4.7: Build Verification and Testing
**Objective**: Verify all Phase 4 changes compile and don't affect consensus timing.
**What to do**:
1. Build with `telemetry=ON` — verify no compilation errors
2. Build with `telemetry=OFF` — verify no regressions (critical for consensus code)
3. Run existing consensus-related unit tests
4. Verify that all macros expand to no-ops when disabled
5. Check that no consensus-critical code paths are affected by instrumentation overhead
**Verification Checklist**:
- [ ] Build succeeds with telemetry ON
- [ ] Build succeeds with telemetry OFF
- [ ] Existing consensus tests pass
- [ ] No new includes in consensus headers when telemetry is OFF
- [ ] Phase timing instrumentation doesn't use blocking operations
---
## Summary
| Task | Description | New Files | Modified Files | Depends On |
| ---- | ------------------------------------- | --------- | -------------- | ------------- |
| 4.1 | Consensus round start instrumentation | 0 | 2 | Phase 3 |
| 4.2 | Phase transition instrumentation | 0 | 1-2 | 4.1 |
| 4.3 | Proposal handling instrumentation | 0 | 1 | 4.1 |
| 4.4 | Validation handling instrumentation | 0 | 1-2 | 4.1 |
| 4.5 | Consensus-specific attributes | 0 | 1 | 4.2, 4.3, 4.4 |
| 4.6 | Transaction-consensus correlation | 0 | 2 | 4.2, Phase 3 |
| 4.7 | Build verification and testing | 0 | 0 | 4.1-4.6 |
**Parallel work**: Tasks 4.2, 4.3, and 4.4 can run in parallel after 4.1 is complete. Task 4.5 depends on all three. Task 4.6 depends on 4.2 and Phase 3.
### Implemented Spans
| Span Name | Method | Key Attributes |
| --------------------------- | ---------------------------------- | ----------------------------------------------------------------------------------------------------------------------------- |
| `consensus.proposal.send` | `Adaptor::propose` | `xrpl.consensus.round` |
| `consensus.ledger_close` | `Adaptor::onClose` | `xrpl.consensus.ledger.seq`, `xrpl.consensus.mode` |
| `consensus.accept` | `Adaptor::onAccept` | `xrpl.consensus.proposers`, `xrpl.consensus.round_time_ms` |
| `consensus.accept.apply` | `Adaptor::doAccept` | `xrpl.consensus.close_time`, `close_time_correct`, `close_resolution_ms`, `state`, `proposing`, `round_time_ms`, `ledger.seq` |
| `consensus.validation.send` | `Adaptor::onAccept` (via validate) | `xrpl.consensus.proposing` |
#### Close Time Attributes (consensus.accept.apply)
The `consensus.accept.apply` span captures ledger close time agreement details
driven by `avCT_CONSENSUS_PCT` (75% validator agreement threshold):
- **`xrpl.consensus.close_time`** — Agreed-upon ledger close time (epoch seconds). When validators disagree (`consensusCloseTime == epoch`), this is synthetically set to `prevCloseTime + 1s`.
- **`xrpl.consensus.close_time_correct`** — `true` if validators reached agreement, `false` if they "agreed to disagree" (close time forced to prev+1s).
- **`xrpl.consensus.close_resolution_ms`** — Rounding granularity for close time (starts at 30s, decreases as ledger interval stabilizes).
- **`xrpl.consensus.state`** — `"finished"` (normal) or `"moved_on"` (consensus failed, adopted best available).
- **`xrpl.consensus.proposing`** — Whether this node was proposing.
- **`xrpl.consensus.round_time_ms`** — Total consensus round duration.
**Exit Criteria** (from [06-implementation-phases.md §6.11.4](./06-implementation-phases.md)):
- [ ] Complete consensus round traces
- [ ] Phase transitions visible
- [ ] Proposals and validations traced
- [ ] Close time agreement tracked (per `avCT_CONSENSUS_PCT`)
- [ ] No impact on consensus timing

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# Phase 5: Integration Test Task List
> **Goal**: End-to-end verification of the complete telemetry pipeline using a
> 6-node consensus network. Proves that RPC, transaction, and consensus spans
> flow through the observability stack (otel-collector, Jaeger, Prometheus,
> Grafana) under realistic conditions.
>
> **Scope**: Integration test script, manual testing plan, 6-node local network
> setup, Jaeger/Prometheus/Grafana verification.
>
> **Branch**: `pratik/otel-phase5-docs-deployment`
### Related Plan Documents
| Document | Relevance |
| ---------------------------------------------------------------- | ------------------------------------------ |
| [07-observability-backends.md](./07-observability-backends.md) | Jaeger, Grafana, Prometheus setup |
| [05-configuration-reference.md](./05-configuration-reference.md) | Collector config, Docker Compose |
| [06-implementation-phases.md](./06-implementation-phases.md) | Phase 5 tasks, definition of done |
| [Phase5_taskList.md](./Phase5_taskList.md) | Phase 5 main task list (5.6 = integration) |
---
## Task IT.1: Create Integration Test Script
**Objective**: Automated bash script that stands up a 6-node xrpld network
with telemetry, exercises all span categories, and verifies data in
Jaeger/Prometheus.
**What to do**:
- Create `docker/telemetry/integration-test.sh`:
- Prerequisites check (docker, xrpld binary, curl, jq)
- Start observability stack via `docker compose`
- Generate 6 validator key pairs via temp standalone xrpld
- Generate 6 node configs + shared `validators.txt`
- Start 6 xrpld nodes in consensus mode (`--start`, no `-a`)
- Wait for all nodes to reach `"proposing"` state (120s timeout)
**Key new file**: `docker/telemetry/integration-test.sh`
**Verification**:
- [ ] Script starts without errors
- [ ] All 6 nodes reach "proposing" state
- [ ] Observability stack is healthy (otel-collector, Jaeger, Prometheus, Grafana)
---
## Task IT.2: RPC Span Verification (Phase 2)
**Objective**: Verify RPC spans flow through the telemetry pipeline.
**What to do**:
- Send `server_info`, `server_state`, `ledger` RPCs to node1 (port 5005)
- Wait for batch export (5s)
- Query Jaeger API for:
- `rpc.request` spans (ServerHandler::onRequest)
- `rpc.process` spans (ServerHandler::processRequest)
- `rpc.command.server_info` spans (callMethod)
- `rpc.command.server_state` spans (callMethod)
- `rpc.command.ledger` spans (callMethod)
- Verify `xrpl.rpc.command` attribute present on `rpc.command.*` spans
**Verification**:
- [ ] Jaeger shows `rpc.request` traces
- [ ] Jaeger shows `rpc.process` traces
- [ ] Jaeger shows `rpc.command.*` traces with correct attributes
---
## Task IT.3: Transaction Span Verification (Phase 3)
**Objective**: Verify transaction spans flow through the telemetry pipeline.
**What to do**:
- Get genesis account sequence via `account_info` RPC
- Submit Payment transaction using genesis seed (`snoPBrXtMeMyMHUVTgbuqAfg1SUTb`)
- Wait for consensus inclusion (10s)
- Query Jaeger API for:
- `tx.process` spans (NetworkOPsImp::processTransaction) on submitting node
- `tx.receive` spans (PeerImp::handleTransaction) on peer nodes
- Verify `xrpl.tx.hash` attribute on `tx.process` spans
- Verify `xrpl.peer.id` attribute on `tx.receive` spans
**Verification**:
- [ ] Jaeger shows `tx.process` traces with `xrpl.tx.hash`
- [ ] Jaeger shows `tx.receive` traces with `xrpl.peer.id`
---
## Task IT.4: Consensus Span Verification (Phase 4)
**Objective**: Verify consensus spans flow through the telemetry pipeline.
**What to do**:
- Consensus runs automatically in 6-node network
- Query Jaeger API for:
- `consensus.proposal.send` (Adaptor::propose)
- `consensus.ledger_close` (Adaptor::onClose)
- `consensus.accept` (Adaptor::onAccept)
- `consensus.validation.send` (Adaptor::validate)
- Verify attributes:
- `xrpl.consensus.mode` on `consensus.ledger_close`
- `xrpl.consensus.proposers` on `consensus.accept`
- `xrpl.consensus.ledger.seq` on `consensus.validation.send`
**Verification**:
- [ ] Jaeger shows `consensus.ledger_close` traces with `xrpl.consensus.mode`
- [ ] Jaeger shows `consensus.accept` traces with `xrpl.consensus.proposers`
- [ ] Jaeger shows `consensus.proposal.send` traces
- [ ] Jaeger shows `consensus.validation.send` traces
---
## Task IT.5: Spanmetrics Verification (Phase 5)
**Objective**: Verify spanmetrics connector derives RED metrics from spans.
**What to do**:
- Query Prometheus for `traces_span_metrics_calls_total`
- Query Prometheus for `traces_span_metrics_duration_milliseconds_count`
- Verify Grafana loads at `http://localhost:3000`
**Verification**:
- [ ] Prometheus returns non-empty results for `traces_span_metrics_calls_total`
- [ ] Prometheus returns non-empty results for duration histogram
- [ ] Grafana UI accessible with dashboards visible
---
## Task IT.6: Manual Testing Plan
**Objective**: Document how to run tests manually for future reference.
**What to do**:
- Create `docker/telemetry/TESTING.md` with:
- Prerequisites section
- Single-node standalone test (quick verification)
- 6-node consensus test (full verification)
- Expected span catalog (all 12 span names with attributes)
- Verification queries (Jaeger API, Prometheus API)
- Troubleshooting guide
**Key new file**: `docker/telemetry/TESTING.md`
**Verification**:
- [ ] Document covers both single-node and multi-node testing
- [ ] All 12 span names documented with source file and attributes
- [ ] Troubleshooting section covers common failure modes
---
## Task IT.7: Run and Verify
**Objective**: Execute the integration test and validate results.
**What to do**:
- Run `docker/telemetry/integration-test.sh` locally
- Debug any failures
- Leave stack running for manual verification
- Share URLs:
- Jaeger: `http://localhost:16686`
- Grafana: `http://localhost:3000`
- Prometheus: `http://localhost:9090`
**Verification**:
- [ ] Script completes with all checks passing
- [ ] Jaeger UI shows rippled service with all expected span names
- [ ] Grafana dashboards load and show data
---
## Task IT.8: Commit
**Objective**: Commit all new files to Phase 5 branch.
**What to do**:
- Run `pcc` (pre-commit checks)
- Commit 3 new files to `pratik/otel-phase5-docs-deployment`
**Verification**:
- [ ] `pcc` passes
- [ ] Commit created on Phase 5 branch
---
## Summary
| Task | Description | New Files | Depends On |
| ---- | ----------------------------- | --------- | ---------- |
| IT.1 | Integration test script | 1 | Phase 5 |
| IT.2 | RPC span verification | 0 | IT.1 |
| IT.3 | Transaction span verification | 0 | IT.1 |
| IT.4 | Consensus span verification | 0 | IT.1 |
| IT.5 | Spanmetrics verification | 0 | IT.1 |
| IT.6 | Manual testing plan | 1 | -- |
| IT.7 | Run and verify | 0 | IT.1-IT.6 |
| IT.8 | Commit | 0 | IT.7 |
**Exit Criteria**:
- [ ] All 6 xrpld nodes reach "proposing" state
- [ ] All 11 expected span names visible in Jaeger
- [ ] Spanmetrics available in Prometheus
- [ ] Grafana dashboards show data
- [ ] Manual testing plan document complete

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# Phase 5: Documentation & Deployment Task List
> **Goal**: Production readiness — Grafana dashboards, spanmetrics pipeline, operator runbook, alert definitions, and final integration testing. This phase ensures the telemetry system is useful and maintainable in production.
>
> **Scope**: Grafana dashboard definitions, OTel Collector spanmetrics connector, Prometheus integration, alert rules, operator documentation, and production-ready Docker Compose stack.
>
> **Branch**: `pratik/otel-phase5-docs-deployment` (from `pratik/otel-phase4-consensus-tracing`)
### Related Plan Documents
| Document | Relevance |
| ---------------------------------------------------------------- | -------------------------------------------------------------------------- |
| [07-observability-backends.md](./07-observability-backends.md) | Jaeger setup (§7.1), Grafana dashboards (§7.6), alerts (§7.6.3) |
| [05-configuration-reference.md](./05-configuration-reference.md) | Collector config (§5.5), production config (§5.5.2), Docker Compose (§5.6) |
| [06-implementation-phases.md](./06-implementation-phases.md) | Phase 5 tasks (§6.6), definition of done (§6.11.5) |
---
## Task 5.1: Add Spanmetrics Connector to OTel Collector
**Objective**: Derive RED metrics (Rate, Errors, Duration) from trace spans automatically, enabling Grafana time-series dashboards.
**What to do**:
- Edit `docker/telemetry/otel-collector-config.yaml`:
- Add `spanmetrics` connector:
```yaml
connectors:
spanmetrics:
histogram:
explicit:
buckets: [1ms, 5ms, 10ms, 25ms, 50ms, 100ms, 250ms, 500ms, 1s, 5s]
dimensions:
- name: xrpl.rpc.command
- name: xrpl.rpc.status
- name: xrpl.consensus.phase
- name: xrpl.tx.type
```
- Add `prometheus` exporter:
```yaml
exporters:
prometheus:
endpoint: 0.0.0.0:8889
```
- Wire the pipeline:
```yaml
service:
pipelines:
traces:
receivers: [otlp]
processors: [batch]
exporters: [debug, otlp/jaeger, spanmetrics]
metrics:
receivers: [spanmetrics]
exporters: [prometheus]
```
- Edit `docker/telemetry/docker-compose.yml`:
- Expose port `8889` on the collector for Prometheus scraping
- Add Prometheus service
- Add Prometheus as Grafana datasource
**Key modified files**:
- `docker/telemetry/otel-collector-config.yaml`
- `docker/telemetry/docker-compose.yml`
**Key new files**:
- `docker/telemetry/prometheus.yml` (Prometheus scrape config)
- `docker/telemetry/grafana/provisioning/datasources/prometheus.yaml`
**Reference**:
- [POC_taskList.md §Next Steps](./POC_taskList.md) — Metrics pipeline for Grafana dashboards
---
## Task 5.2: Create Grafana Dashboards
**Objective**: Provide pre-built Grafana dashboards for RPC performance, transaction lifecycle, and consensus health.
**What to do**:
- Create `docker/telemetry/grafana/provisioning/dashboards/dashboards.yaml` (provisioning config)
- Create dashboard JSON files:
1. **RPC Performance Dashboard** (`rpc-performance.json`):
- RPC request latency (p50/p95/p99) by command — histogram panel
- RPC throughput (requests/sec) by command — time series
- RPC error rate by command — bar gauge
- Top slowest RPC commands — table
2. **Transaction Overview Dashboard** (`transaction-overview.json`):
- Transaction processing rate — time series
- Transaction latency distribution — histogram
- Suppression rate (duplicates) — stat panel
- Transaction processing path (sync vs async) — pie chart
3. **Consensus Health Dashboard** (`consensus-health.json`):
- Consensus round duration — time series
- Phase duration breakdown (open/establish/accept) — stacked bar
- Proposals sent/received per round — stat panel
- Consensus mode distribution (proposing/observing) — pie chart
- Store dashboards in `docker/telemetry/grafana/dashboards/`
**Key new files**:
- `docker/telemetry/grafana/provisioning/dashboards/dashboards.yaml`
- `docker/telemetry/grafana/dashboards/rpc-performance.json`
- `docker/telemetry/grafana/dashboards/transaction-overview.json`
- `docker/telemetry/grafana/dashboards/consensus-health.json`
**Reference**:
- [07-observability-backends.md §7.6](./07-observability-backends.md) — Grafana dashboard specifications
- [01-architecture-analysis.md §1.8.3](./01-architecture-analysis.md) — Dashboard panel examples
---
## Task 5.3: Define Alert Rules
**Objective**: Create alert definitions for key telemetry anomalies.
**What to do**:
- Create `docker/telemetry/grafana/provisioning/alerting/alerts.yaml`:
- **RPC Latency Alert**: p99 latency > 1s for any command over 5 minutes
- **RPC Error Rate Alert**: Error rate > 5% for any command over 5 minutes
- **Consensus Duration Alert**: Round duration > 10s (warn), > 30s (critical)
- **Transaction Processing Alert**: Processing rate drops below threshold
- **Telemetry Pipeline Health**: No spans received for > 2 minutes
**Key new files**:
- `docker/telemetry/grafana/provisioning/alerting/alerts.yaml`
**Reference**:
- [07-observability-backends.md §7.6.3](./07-observability-backends.md) — Alert rule definitions
---
## Task 5.4: Production Collector Configuration
**Objective**: Create a production-ready OTel Collector configuration with tail-based sampling and resource limits.
**What to do**:
- Create `docker/telemetry/otel-collector-config-production.yaml`:
- Tail-based sampling policy:
- Always sample errors and slow traces
- 10% base sampling rate for normal traces
- Always sample first trace for each unique RPC command
- Resource limits:
- Memory limiter processor (80% of available memory)
- Queued retry for export failures
- TLS configuration for production endpoints
- Health check endpoint
**Key new files**:
- `docker/telemetry/otel-collector-config-production.yaml`
**Reference**:
- [05-configuration-reference.md §5.5.2](./05-configuration-reference.md) — Production collector config
---
## Task 5.5: Operator Runbook
**Objective**: Create operator documentation for managing the telemetry system in production.
**What to do**:
- Create `docs/telemetry-runbook.md`:
- **Setup**: How to enable telemetry in rippled
- **Configuration**: All config options with descriptions
- **Collector Deployment**: Docker Compose vs. Kubernetes vs. bare metal
- **Troubleshooting**: Common issues and resolutions
- No traces appearing
- High memory usage from telemetry
- Collector connection failures
- Sampling configuration tuning
- **Performance Tuning**: Batch size, queue size, sampling ratio guidelines
- **Upgrading**: How to upgrade OTel SDK and Collector versions
**Key new files**:
- `docs/telemetry-runbook.md`
---
## Task 5.6: Final Integration Testing
**Objective**: Validate the complete telemetry stack end-to-end.
**What to do**:
1. Start full Docker stack (Collector, Jaeger, Grafana, Prometheus)
2. Build rippled with `telemetry=ON`
3. Run in standalone mode with telemetry enabled
4. Generate RPC traffic and verify traces in Jaeger
5. Verify dashboards populate in Grafana
6. Verify alerts trigger correctly
7. Test telemetry OFF path (no regressions)
8. Run full test suite
**Verification Checklist**:
- [ ] Docker stack starts without errors
- [ ] Traces appear in Jaeger with correct hierarchy
- [ ] Grafana dashboards show metrics derived from spans
- [ ] Prometheus scrapes spanmetrics successfully
- [ ] Alerts can be triggered by simulated conditions
- [ ] Build succeeds with telemetry ON and OFF
- [ ] Full test suite passes
---
## Summary
| Task | Description | New Files | Modified Files | Depends On |
| ---- | ---------------------------------- | --------- | -------------- | ---------- |
| 5.1 | Spanmetrics connector + Prometheus | 2 | 2 | Phase 4 |
| 5.2 | Grafana dashboards | 4 | 0 | 5.1 |
| 5.3 | Alert definitions | 1 | 0 | 5.1 |
| 5.4 | Production collector config | 1 | 0 | Phase 4 |
| 5.5 | Operator runbook | 1 | 0 | Phase 4 |
| 5.6 | Final integration testing | 0 | 0 | 5.1-5.5 |
**Parallel work**: Tasks 5.1, 5.4, and 5.5 can run in parallel. Tasks 5.2 and 5.3 depend on 5.1. Task 5.6 depends on all others.
**Exit Criteria** (from [06-implementation-phases.md §6.11.5](./06-implementation-phases.md)):
- [ ] Dashboards deployed and showing data
- [ ] Alerts configured and tested
- [ ] Operator documentation complete
- [ ] Production collector config ready
- [ ] Full test suite passes

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# Phase 7: Native OTel Metrics Migration — Task List
> **Goal**: Replace `StatsDCollector` with a native OpenTelemetry Metrics SDK implementation behind the existing `beast::insight::Collector` interface, eliminating the StatsD UDP dependency.
>
> **Scope**: New `OTelCollectorImpl` class, `CollectorManager` config change, OTel Collector pipeline update, Grafana dashboard metric name migration, integration tests.
>
> **Branch**: `pratik/otel-phase7-native-metrics` (from `pratik/otel-phase6-statsd`)
### Related Plan Documents
| Document | Relevance |
| -------------------------------------------------------------------- | --------------------------------------------------------------- |
| [06-implementation-phases.md](./06-implementation-phases.md) | Phase 7 plan: motivation, architecture, exit criteria (§6.8) |
| [02-design-decisions.md](./02-design-decisions.md) | Collector interface design, beast::insight coexistence strategy |
| [05-configuration-reference.md](./05-configuration-reference.md) | `[insight]` and `[telemetry]` config sections |
| [09-data-collection-reference.md](./09-data-collection-reference.md) | Complete metric inventory that must be preserved |
---
## Task 7.1: Add OTel Metrics SDK to Build Dependencies
**Objective**: Enable the OTel C++ Metrics SDK components in the build system.
**What to do**:
- Edit `conanfile.py`:
- Add OTel metrics SDK components to the dependency list when `telemetry=True`
- Components needed: `opentelemetry-cpp::metrics`, `opentelemetry-cpp::otlp_http_metric_exporter`
- Edit `CMakeLists.txt` (telemetry section):
- Link `opentelemetry::metrics` and `opentelemetry::otlp_http_metric_exporter` targets
**Key modified files**:
- `conanfile.py`
- `CMakeLists.txt` (or the relevant telemetry cmake target)
**Reference**: [05-configuration-reference.md §5.3](./05-configuration-reference.md) — CMake integration
---
## Task 7.2: Implement OTelCollector Class
**Objective**: Create the core `OTelCollector` implementation that maps beast::insight instruments to OTel Metrics SDK instruments.
**What to do**:
- Create `include/xrpl/beast/insight/OTelCollector.h`:
- Public factory: `static std::shared_ptr<OTelCollector> New(std::string const& endpoint, std::string const& prefix, beast::Journal journal)`
- Derives from `StatsDCollector` (or directly from `Collector` — TBD based on shared code)
- Create `src/libxrpl/beast/insight/OTelCollector.cpp` (~400-500 lines):
- **OTelCounterImpl**: Wraps `opentelemetry::metrics::Counter<int64_t>`. `increment(amount)` calls `counter->Add(amount)`.
- **OTelGaugeImpl**: Uses `opentelemetry::metrics::ObservableGauge<uint64_t>` with an async callback. `set(value)` stores value atomically; callback reads it during collection.
- **OTelMeterImpl**: Wraps `opentelemetry::metrics::Counter<uint64_t>`. `increment(amount)` calls `counter->Add(amount)`. Semantically identical to Counter but unsigned.
- **OTelEventImpl**: Wraps `opentelemetry::metrics::Histogram<double>`. `notify(duration)` calls `histogram->Record(duration.count())`. Uses explicit bucket boundaries matching SpanMetrics: [1, 5, 10, 25, 50, 100, 250, 500, 1000, 5000] ms.
- **OTelHookImpl**: Stores handler function. Called during periodic metric collection (same 1s pattern via PeriodicMetricReader).
- **OTelCollectorImp**: Main class.
- Creates `MeterProvider` with `PeriodicMetricReader` (1s export interval)
- Creates `OtlpHttpMetricExporter` pointing to `[telemetry]` endpoint
- Sets resource attributes (service.name, service.instance.id) matching trace exporter
- Implements all `make_*()` factory methods
- Prefixes metric names with `[insight] prefix=` value
- Guard all OTel SDK includes with `#ifdef XRPL_ENABLE_TELEMETRY` to compile to `NullCollector` equivalents when telemetry disabled.
**Key new files**:
- `include/xrpl/beast/insight/OTelCollector.h`
- `src/libxrpl/beast/insight/OTelCollector.cpp`
**Key patterns to follow**:
- Match `StatsDCollector.cpp` structure: private impl classes, intrusive list for metrics, strand-based thread safety
- Match existing telemetry code style from `src/libxrpl/telemetry/Telemetry.cpp`
- Use RAII for MeterProvider lifecycle (shutdown on destructor)
**Reference**: [04-code-samples.md](./04-code-samples.md) — code style and patterns
---
## Task 7.3: Update CollectorManager
**Objective**: Add `server=otel` config option to route metric creation to the new OTel backend.
**What to do**:
- Edit `src/xrpld/app/main/CollectorManager.cpp`:
- In the constructor, add a third branch after `server == "statsd"`:
```cpp
else if (server == "otel")
{
// Read endpoint from [telemetry] section
auto const endpoint = get(telemetryParams, "endpoint",
"http://localhost:4318/v1/metrics");
std::string const& prefix(get(params, "prefix"));
m_collector = beast::insight::OTelCollector::New(
endpoint, prefix, journal);
}
```
- This requires access to the `[telemetry]` config section — may need to pass it as a parameter or read from Application config.
- Edit `src/xrpld/app/main/CollectorManager.h`:
- Add `#include <xrpl/beast/insight/OTelCollector.h>`
**Key modified files**:
- `src/xrpld/app/main/CollectorManager.cpp`
- `src/xrpld/app/main/CollectorManager.h`
---
## Task 7.4: Update OTel Collector Configuration
**Objective**: Add a metrics pipeline to the OTLP receiver and remove the StatsD receiver dependency.
**What to do**:
- Edit `docker/telemetry/otel-collector-config.yaml`:
- Remove `statsd` receiver (no longer needed when `server=otel`)
- Add metrics pipeline under `service.pipelines`:
```yaml
metrics:
receivers: [otlp, spanmetrics]
processors: [batch]
exporters: [prometheus]
```
- The OTLP receiver already listens on :4318 — it just needs to be added to the metrics pipeline receivers.
- Keep `spanmetrics` connector in the metrics pipeline so span-derived RED metrics continue working.
- Edit `docker/telemetry/docker-compose.yml`:
- Remove UDP :8125 port mapping from otel-collector service
- Update rippled service config: change `[insight] server=statsd` to `server=otel`
**Key modified files**:
- `docker/telemetry/otel-collector-config.yaml`
- `docker/telemetry/docker-compose.yml`
**Note**: Keep a commented-out `statsd` receiver block for operators who need backward compatibility.
---
## Task 7.5: Preserve Metric Names in Prometheus
**Objective**: Ensure existing Grafana dashboards continue working with identical metric names.
**What to do**:
- In `OTelCollector.cpp`, construct OTel instrument names to match existing Prometheus metric names:
- beast::insight `make_gauge("LedgerMaster", "Validated_Ledger_Age")` → OTel instrument name: `rippled_LedgerMaster_Validated_Ledger_Age`
- The prefix + group + name concatenation must produce the same string as `StatsDCollector`'s format
- Use underscores as separators (matching StatsD convention)
- Verify in integration test that key Prometheus queries still return data:
- `rippled_LedgerMaster_Validated_Ledger_Age`
- `rippled_Peer_Finder_Active_Inbound_Peers`
- `rippled_rpc_requests`
**Key consideration**: OTel Prometheus exporter may normalize metric names differently than StatsD receiver. Test this early (Task 7.2) and adjust naming strategy if needed. The OTel SDK's Prometheus exporter adds `_total` suffix to counters and converts dots to underscores — match existing conventions.
---
## Task 7.6: Update Grafana Dashboards
**Objective**: Update the 3 StatsD dashboards if any metric names change due to OTLP export format differences.
**What to do**:
- If Task 7.5 confirms metric names are preserved exactly, no dashboard changes needed.
- If OTLP export produces different names (e.g., `_total` suffix on counters), update:
- `docker/telemetry/grafana/dashboards/statsd-node-health.json`
- `docker/telemetry/grafana/dashboards/statsd-network-traffic.json`
- `docker/telemetry/grafana/dashboards/statsd-rpc-pathfinding.json`
- Rename dashboard titles from "StatsD" to "System Metrics" or similar (since they're no longer StatsD-sourced).
**Key modified files**:
- `docker/telemetry/grafana/dashboards/statsd-*.json` (3 files, conditionally)
---
## Task 7.7: Update Integration Tests
**Objective**: Verify the full OTLP metrics pipeline end-to-end.
**What to do**:
- Edit `docker/telemetry/integration-test.sh`:
- Update test config to use `[insight] server=otel`
- Verify metrics arrive in Prometheus via OTLP (not StatsD)
- Add check that StatsD receiver is no longer required
- Preserve all existing metric presence checks
**Key modified files**:
- `docker/telemetry/integration-test.sh`
---
## Task 7.8: Update Documentation
**Objective**: Update all plan docs, runbook, and reference docs to reflect the migration.
**What to do**:
- Edit `docs/telemetry-runbook.md`:
- Update `[insight]` config examples to show `server=otel`
- Update troubleshooting section (no more StatsD UDP debugging)
- Edit `OpenTelemetryPlan/09-data-collection-reference.md`:
- Update Data Flow Overview diagram (remove StatsD receiver)
- Update Section 2 header from "StatsD Metrics" to "System Metrics (OTel native)"
- Update config examples
- Edit `OpenTelemetryPlan/05-configuration-reference.md`:
- Add `server=otel` option to `[insight]` section docs
- Edit `docker/telemetry/TESTING.md`:
- Update setup instructions to use `server=otel`
**Key modified files**:
- `docs/telemetry-runbook.md`
- `OpenTelemetryPlan/09-data-collection-reference.md`
- `OpenTelemetryPlan/05-configuration-reference.md`
- `docker/telemetry/TESTING.md`
---
## Summary Table
| Task | Description | New Files | Modified Files | Effort | Risk | Depends On |
| ---- | -------------------------------------- | --------- | -------------- | ------ | ------ | ---------- |
| 7.1 | Add OTel Metrics SDK to build deps | 0 | 2 | 0.5d | Low | — |
| 7.2 | Implement OTelCollector class | 2 | 0 | 3d | Medium | 7.1 |
| 7.3 | Update CollectorManager config routing | 0 | 2 | 0.5d | Low | 7.2 |
| 7.4 | Update OTel Collector YAML and Docker | 0 | 2 | 0.5d | Low | 7.3 |
| 7.5 | Preserve metric names in Prometheus | 0 | 1 | 1d | Medium | 7.2 |
| 7.6 | Update Grafana dashboards (if needed) | 0 | 3 | 1d | Low | 7.5 |
| 7.7 | Update integration tests | 0 | 1 | 0.5d | Low | 7.4 |
| 7.8 | Update documentation | 0 | 4 | 1d | Low | 7.6 |
**Total Effort**: 8 days
**Parallel work**: Tasks 7.4 and 7.5 can run in parallel after 7.2/7.3 complete. Task 7.6 depends on 7.5's findings. Tasks 7.7 and 7.8 can run in parallel after 7.6.
**Exit Criteria** (from [06-implementation-phases.md §6.8](./06-implementation-phases.md)):
- [ ] All 255+ metrics visible in Prometheus via OTLP pipeline (no StatsD receiver)
- [ ] `server=otel` is the default in development docker-compose
- [ ] `server=statsd` still works as a fallback
- [ ] Existing Grafana dashboards display data correctly
- [ ] Integration test passes with OTLP-only metrics pipeline
- [ ] No performance regression vs StatsD baseline (< 1% CPU overhead)
- [ ] Deferred Task 6.1 (`|m` wire format) no longer relevant — Meter mapped to OTel Counter

View File

@@ -0,0 +1,234 @@
# Phase 8: Log-Trace Correlation and Centralized Log Ingestion — Task List
> **Goal**: Inject trace context (trace_id, span_id) into rippled's Journal log output for log-trace correlation, and add OTel Collector filelog receiver to ingest logs into Grafana Loki for unified observability.
>
> **Scope**: Two independent sub-phases — 8a (code change: trace_id in logs) and 8b (infra only: filelog receiver to Loki). No changes to the `beast::Journal` public API.
>
> **Branch**: `pratik/otel-phase8-log-correlation` (from `pratik/otel-phase7-native-metrics`)
### Related Plan Documents
| Document | Relevance |
| ---------------------------------------------------------------- | -------------------------------------------------------------- |
| [06-implementation-phases.md](./06-implementation-phases.md) | Phase 8 plan: motivation, architecture, exit criteria (§6.8.1) |
| [07-observability-backends.md](./07-observability-backends.md) | Loki backend recommendation, Grafana data source provisioning |
| [Phase7_taskList.md](./Phase7_taskList.md) | Prerequisite — native OTel metrics pipeline must be working |
| [05-configuration-reference.md](./05-configuration-reference.md) | `[telemetry]` config (trace_id injection toggle) |
---
## Task 8.1: Inject trace_id into Logs::format()
**Objective**: Add OTel trace context to every log line that is emitted within an active span.
**What to do**:
- Edit `src/libxrpl/basics/Log.cpp`:
- In `Logs::format()` (around line 346), after severity is appended, check for active OTel span:
```cpp
#ifdef XRPL_ENABLE_TELEMETRY
auto span = opentelemetry::trace::GetSpan(
opentelemetry::context::RuntimeContext::GetCurrent());
auto ctx = span->GetContext();
if (ctx.IsValid())
{
// Append trace context as structured fields
char traceId[33], spanId[17];
ctx.trace_id().ToLowerBase16(traceId);
ctx.span_id().ToLowerBase16(spanId);
output += "trace_id=";
output.append(traceId, 32);
output += " span_id=";
output.append(spanId, 16);
output += ' ';
}
#endif
```
- Add `#include` for OTel context headers, guarded by `#ifdef XRPL_ENABLE_TELEMETRY`
- Edit `include/xrpl/basics/Log.h`:
- No changes needed — format() signature unchanged
**Key modified files**:
- `src/libxrpl/basics/Log.cpp`
**Performance note**: `GetSpan()` and `GetContext()` are thread-local reads with no locking — measured at <10ns per call. With ~1000 JLOG calls/min, this adds <10us/min of overhead.
---
## Task 8.2: Add Loki to Docker Compose Stack
**Objective**: Add Grafana Loki as a log storage backend in the development observability stack.
**What to do**:
- Edit `docker/telemetry/docker-compose.yml`:
- Add Loki service:
```yaml
loki:
image: grafana/loki:2.9.0
ports:
- "3100:3100"
command: -config.file=/etc/loki/local-config.yaml
```
- Add Loki as a Grafana data source in provisioning
- Create `docker/telemetry/grafana/provisioning/datasources/loki.yaml`:
- Configure Loki data source with derived fields linking `trace_id` to Tempo
**Key new files**:
- `docker/telemetry/grafana/provisioning/datasources/loki.yaml`
**Key modified files**:
- `docker/telemetry/docker-compose.yml`
---
## Task 8.3: Add Filelog Receiver to OTel Collector
**Objective**: Configure the OTel Collector to tail rippled's log file and export to Loki.
**What to do**:
- Edit `docker/telemetry/otel-collector-config.yaml`:
- Add `filelog` receiver:
```yaml
receivers:
filelog:
include: [/var/log/rippled/debug.log]
operators:
- type: regex_parser
regex: '^(?P<timestamp>\S+)\s+(?P<partition>\S+):(?P<severity>\S+)\s+(?:trace_id=(?P<trace_id>[a-f0-9]+)\s+span_id=(?P<span_id>[a-f0-9]+)\s+)?(?P<message>.*)$'
timestamp:
parse_from: attributes.timestamp
layout: "%Y-%m-%dT%H:%M:%S.%fZ"
```
- Add logs pipeline:
```yaml
service:
pipelines:
logs:
receivers: [filelog]
processors: [batch]
exporters: [otlp/loki]
```
- Add Loki exporter:
```yaml
exporters:
otlp/loki:
endpoint: loki:3100
tls:
insecure: true
```
- Mount rippled's log directory into the collector container via docker-compose volume
**Key modified files**:
- `docker/telemetry/otel-collector-config.yaml`
- `docker/telemetry/docker-compose.yml`
---
## Task 8.4: Configure Grafana Trace-to-Log Correlation
**Objective**: Enable one-click navigation from Tempo traces to Loki logs in Grafana.
**What to do**:
- Edit Grafana Tempo data source provisioning to add `tracesToLogs` configuration:
```yaml
tracesToLogs:
datasourceUid: loki
filterByTraceID: true
filterBySpanID: false
tags: ["partition", "severity"]
```
- Edit Grafana Loki data source provisioning to add `derivedFields` linking trace_id back to Tempo:
```yaml
derivedFields:
- datasourceUid: tempo
matcherRegex: "trace_id=(\\w+)"
name: TraceID
url: "$${__value.raw}"
```
**Key modified files**:
- `docker/telemetry/grafana/provisioning/datasources/loki.yaml`
- `docker/telemetry/grafana/provisioning/datasources/` (Tempo data source file)
---
## Task 8.5: Update Integration Tests
**Objective**: Verify trace_id appears in logs and Loki correlation works.
**What to do**:
- Edit `docker/telemetry/integration-test.sh`:
- After sending RPC requests (which create spans), grep rippled's log output for `trace_id=`
- Verify trace_id matches a trace visible in Jaeger
- Optionally: query Loki via API to confirm log ingestion
**Key modified files**:
- `docker/telemetry/integration-test.sh`
---
## Task 8.6: Update Documentation
**Objective**: Document the log correlation feature in runbook and reference docs.
**What to do**:
- Edit `docs/telemetry-runbook.md`:
- Add "Log-Trace Correlation" section explaining how to use Grafana Tempo -> Loki linking
- Add LogQL query examples for filtering by trace_id
- Edit `OpenTelemetryPlan/09-data-collection-reference.md`:
- Add new section "3. Log Correlation" between SpanMetrics and StatsD sections
- Document the log format with trace_id injection
- Document Loki as a new backend
- Edit `docker/telemetry/TESTING.md`:
- Add log correlation verification steps
**Key modified files**:
- `docs/telemetry-runbook.md`
- `OpenTelemetryPlan/09-data-collection-reference.md`
- `docker/telemetry/TESTING.md`
---
## Summary Table
| Task | Description | Sub-Phase | New Files | Modified Files | Effort | Risk | Depends On |
| ---- | ------------------------------------------ | --------- | --------- | -------------- | ------ | ------ | ---------- |
| 8.1 | Inject trace_id into Logs::format() | 8a | 0 | 1 | 1d | Low | Phase 7 |
| 8.2 | Add Loki to Docker Compose stack | 8b | 1 | 1 | 0.5d | Low | -- |
| 8.3 | Add filelog receiver to OTel Collector | 8b | 0 | 2 | 1d | Medium | 8.1, 8.2 |
| 8.4 | Configure Grafana trace-to-log correlation | 8b | 0 | 2 | 0.5d | Low | 8.3 |
| 8.5 | Update integration tests | 8a + 8b | 0 | 1 | 0.5d | Low | 8.4 |
| 8.6 | Update documentation | 8a + 8b | 0 | 3 | 1d | Low | 8.5 |
**Total Effort**: 4.5 days
**Parallel work**: Task 8.2 (Loki infra) can run in parallel with Task 8.1 (code change). Tasks 8.3-8.6 are sequential.
**Exit Criteria** (from [06-implementation-phases.md §6.8.1](./06-implementation-phases.md)):
- [ ] Log lines within active spans contain `trace_id=<hex> span_id=<hex>`
- [ ] Log lines outside spans have no trace context (no empty fields)
- [ ] Loki ingests rippled logs via OTel Collector filelog receiver
- [ ] Grafana Tempo -> Loki one-click correlation works
- [ ] Grafana Loki -> Tempo reverse lookup works via derived field
- [ ] Integration test verifies trace_id presence in logs
- [ ] No performance regression from trace_id injection (< 0.1% overhead)

View File

@@ -1529,3 +1529,46 @@ validators.txt
# set to ssl_verify to 0.
[ssl_verify]
1
#-------------------------------------------------------------------------------
#
# 11. Telemetry (OpenTelemetry Tracing)
#
#-------------------------------------------------------------------------------
#
# Enables distributed tracing via OpenTelemetry. Requires building with
# -DXRPL_ENABLE_TELEMETRY=ON (telemetry Conan option).
#
# [telemetry]
#
# enabled=0
#
# Enable or disable telemetry at runtime. Default: 0 (disabled).
#
# endpoint=http://localhost:4318/v1/traces
#
# The OpenTelemetry Collector endpoint (OTLP/HTTP). Default: http://localhost:4318/v1/traces.
#
# exporter=otlp_http
#
# Exporter type: otlp_http. Default: otlp_http.
#
# sampling_ratio=1.0
#
# Fraction of traces to sample (0.0 to 1.0). Default: 1.0 (all traces).
#
# trace_rpc=1
#
# Enable RPC request tracing. Default: 1.
#
# trace_transactions=1
#
# Enable transaction lifecycle tracing. Default: 1.
#
# trace_consensus=1
#
# Enable consensus round tracing. Default: 1.
#
# trace_peer=0
#
# Enable peer message tracing (high volume). Default: 0.
#

View File

@@ -1,32 +1,29 @@
macro(exclude_from_default target_)
macro (exclude_from_default target_)
set_target_properties(${target_} PROPERTIES EXCLUDE_FROM_ALL ON)
set_target_properties(${target_} PROPERTIES EXCLUDE_FROM_DEFAULT_BUILD ON)
endmacro()
endmacro ()
macro(exclude_if_included target_)
macro (exclude_if_included target_)
get_directory_property(has_parent PARENT_DIRECTORY)
if(has_parent)
if (has_parent)
exclude_from_default(${target_})
endif()
endmacro()
endif ()
endmacro ()
find_package(Git)
function(git_branch branch_val)
if(NOT GIT_FOUND)
function (git_branch branch_val)
if (NOT GIT_FOUND)
return()
endif()
endif ()
set(_branch "")
execute_process(
COMMAND ${GIT_EXECUTABLE} "rev-parse" "--abbrev-ref" "HEAD"
WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
RESULT_VARIABLE _git_exit_code
OUTPUT_VARIABLE _temp_branch
OUTPUT_STRIP_TRAILING_WHITESPACE
ERROR_QUIET
)
if(_git_exit_code EQUAL 0)
execute_process(COMMAND ${GIT_EXECUTABLE} "rev-parse" "--abbrev-ref" "HEAD"
WORKING_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}
RESULT_VARIABLE _git_exit_code
OUTPUT_VARIABLE _temp_branch
OUTPUT_STRIP_TRAILING_WHITESPACE ERROR_QUIET)
if (_git_exit_code EQUAL 0)
set(_branch ${_temp_branch})
endif()
endif ()
set(${branch_val} "${_branch}" PARENT_SCOPE)
endfunction()
endfunction ()

View File

@@ -1,62 +1,50 @@
find_program(CCACHE_PATH "ccache")
if(NOT CCACHE_PATH)
if (NOT CCACHE_PATH)
return()
endif()
endif ()
# For Linux and macOS we can use the ccache binary directly.
if(NOT MSVC)
if (NOT MSVC)
set(CMAKE_C_COMPILER_LAUNCHER "${CCACHE_PATH}")
set(CMAKE_CXX_COMPILER_LAUNCHER "${CCACHE_PATH}")
message(STATUS "Found ccache: ${CCACHE_PATH}")
return()
endif()
endif ()
# For Windows more effort is required. The code below is a modified version of
# https://github.com/ccache/ccache/wiki/MS-Visual-Studio#usage-with-cmake.
if("${CCACHE_PATH}" MATCHES "chocolatey")
if ("${CCACHE_PATH}" MATCHES "chocolatey")
message(DEBUG "Ccache path: ${CCACHE_PATH}")
# Chocolatey uses a shim executable that we cannot use directly, in which case we have to find the executable it
# points to. If we cannot find the target executable then we cannot use ccache.
find_program(BASH_PATH "bash")
if(NOT BASH_PATH)
if (NOT BASH_PATH)
message(WARNING "Could not find bash.")
return()
endif()
endif ()
execute_process(
COMMAND
bash -c
"export LC_ALL='en_US.UTF-8'; ${CCACHE_PATH} --shimgen-noop | grep -oP 'path to executable: \\K.+' | head -c -1"
OUTPUT_VARIABLE CCACHE_PATH
)
execute_process(COMMAND bash -c
"export LC_ALL='en_US.UTF-8'; ${CCACHE_PATH} --shimgen-noop | grep -oP 'path to executable: \\K.+' | head -c -1"
OUTPUT_VARIABLE CCACHE_PATH)
if(NOT CCACHE_PATH)
if (NOT CCACHE_PATH)
message(WARNING "Could not find ccache target.")
return()
endif()
endif ()
file(TO_CMAKE_PATH "${CCACHE_PATH}" CCACHE_PATH)
endif()
endif ()
message(STATUS "Found ccache: ${CCACHE_PATH}")
# Tell cmake to use ccache for compiling with Visual Studio.
file(COPY_FILE ${CCACHE_PATH} ${CMAKE_BINARY_DIR}/cl.exe ONLY_IF_DIFFERENT)
set(CMAKE_VS_GLOBALS
"CLToolExe=cl.exe"
"CLToolPath=${CMAKE_BINARY_DIR}"
"TrackFileAccess=false"
"UseMultiToolTask=true"
)
set(CMAKE_VS_GLOBALS "CLToolExe=cl.exe" "CLToolPath=${CMAKE_BINARY_DIR}" "TrackFileAccess=false"
"UseMultiToolTask=true")
# By default Visual Studio generators will use /Zi to capture debug information, which is not compatible with ccache, so
# tell it to use /Z7 instead.
if(MSVC)
foreach(
var_
CMAKE_C_FLAGS_DEBUG
CMAKE_C_FLAGS_RELEASE
CMAKE_CXX_FLAGS_DEBUG
CMAKE_CXX_FLAGS_RELEASE
)
if (MSVC)
foreach (var_ CMAKE_C_FLAGS_DEBUG CMAKE_C_FLAGS_RELEASE CMAKE_CXX_FLAGS_DEBUG
CMAKE_CXX_FLAGS_RELEASE)
string(REPLACE "/Zi" "/Z7" ${var_} "${${var_}}")
endforeach()
endif()
endforeach ()
endif ()

View File

@@ -174,45 +174,37 @@ option(CODE_COVERAGE_VERBOSE "Verbose information" FALSE)
# Check prereqs
find_program(GCOVR_PATH gcovr PATHS ${CMAKE_SOURCE_DIR}/scripts/test)
if(DEFINED CODE_COVERAGE_GCOV_TOOL)
if (DEFINED CODE_COVERAGE_GCOV_TOOL)
set(GCOV_TOOL "${CODE_COVERAGE_GCOV_TOOL}")
elseif(DEFINED ENV{CODE_COVERAGE_GCOV_TOOL})
elseif (DEFINED ENV{CODE_COVERAGE_GCOV_TOOL})
set(GCOV_TOOL "$ENV{CODE_COVERAGE_GCOV_TOOL}")
elseif("${CMAKE_CXX_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang")
if(APPLE)
execute_process(
COMMAND xcrun -f llvm-cov
OUTPUT_VARIABLE LLVMCOV_PATH
OUTPUT_STRIP_TRAILING_WHITESPACE
)
else()
elseif ("${CMAKE_CXX_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang")
if (APPLE)
execute_process(COMMAND xcrun -f llvm-cov OUTPUT_VARIABLE LLVMCOV_PATH
OUTPUT_STRIP_TRAILING_WHITESPACE)
else ()
find_program(LLVMCOV_PATH llvm-cov)
endif()
if(LLVMCOV_PATH)
endif ()
if (LLVMCOV_PATH)
set(GCOV_TOOL "${LLVMCOV_PATH} gcov")
endif()
elseif("${CMAKE_CXX_COMPILER_ID}" MATCHES "GNU")
endif ()
elseif ("${CMAKE_CXX_COMPILER_ID}" MATCHES "GNU")
find_program(GCOV_PATH gcov)
set(GCOV_TOOL "${GCOV_PATH}")
endif()
endif ()
# Check supported compiler (Clang, GNU and Flang)
get_property(LANGUAGES GLOBAL PROPERTY ENABLED_LANGUAGES)
foreach(LANG ${LANGUAGES})
if("${CMAKE_${LANG}_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang")
if("${CMAKE_${LANG}_COMPILER_VERSION}" VERSION_LESS 3)
message(
FATAL_ERROR
"Clang version must be 3.0.0 or greater! Aborting..."
)
endif()
elseif(
NOT "${CMAKE_${LANG}_COMPILER_ID}" MATCHES "GNU"
AND NOT "${CMAKE_${LANG}_COMPILER_ID}" MATCHES "(LLVM)?[Ff]lang"
)
foreach (LANG ${LANGUAGES})
if ("${CMAKE_${LANG}_COMPILER_ID}" MATCHES "(Apple)?[Cc]lang")
if ("${CMAKE_${LANG}_COMPILER_VERSION}" VERSION_LESS 3)
message(FATAL_ERROR "Clang version must be 3.0.0 or greater! Aborting...")
endif ()
elseif (NOT "${CMAKE_${LANG}_COMPILER_ID}" MATCHES "GNU" AND NOT "${CMAKE_${LANG}_COMPILER_ID}"
MATCHES "(LLVM)?[Ff]lang")
message(FATAL_ERROR "Compiler is not GNU or Flang! Aborting...")
endif()
endforeach()
endif ()
endforeach ()
set(COVERAGE_COMPILER_FLAGS "-g --coverage" CACHE INTERNAL "")
@@ -221,7 +213,7 @@ set(COVERAGE_C_COMPILER_FLAGS "")
set(COVERAGE_CXX_LINKER_FLAGS "")
set(COVERAGE_C_LINKER_FLAGS "")
if(CMAKE_CXX_COMPILER_ID MATCHES "(GNU|Clang)")
if (CMAKE_CXX_COMPILER_ID MATCHES "(GNU|Clang)")
include(CheckCXXCompilerFlag)
include(CheckCCompilerFlag)
include(CheckLinkerFlag)
@@ -232,77 +224,51 @@ if(CMAKE_CXX_COMPILER_ID MATCHES "(GNU|Clang)")
set(COVERAGE_C_LINKER_FLAGS ${COVERAGE_COMPILER_FLAGS})
check_cxx_compiler_flag(-fprofile-abs-path HAVE_cxx_fprofile_abs_path)
if(HAVE_cxx_fprofile_abs_path)
set(COVERAGE_CXX_COMPILER_FLAGS
"${COVERAGE_CXX_COMPILER_FLAGS} -fprofile-abs-path"
)
endif()
if (HAVE_cxx_fprofile_abs_path)
set(COVERAGE_CXX_COMPILER_FLAGS "${COVERAGE_CXX_COMPILER_FLAGS} -fprofile-abs-path")
endif ()
check_c_compiler_flag(-fprofile-abs-path HAVE_c_fprofile_abs_path)
if(HAVE_c_fprofile_abs_path)
set(COVERAGE_C_COMPILER_FLAGS
"${COVERAGE_C_COMPILER_FLAGS} -fprofile-abs-path"
)
endif()
if (HAVE_c_fprofile_abs_path)
set(COVERAGE_C_COMPILER_FLAGS "${COVERAGE_C_COMPILER_FLAGS} -fprofile-abs-path")
endif ()
check_linker_flag(CXX -fprofile-abs-path HAVE_cxx_linker_fprofile_abs_path)
if(HAVE_cxx_linker_fprofile_abs_path)
set(COVERAGE_CXX_LINKER_FLAGS
"${COVERAGE_CXX_LINKER_FLAGS} -fprofile-abs-path"
)
endif()
if (HAVE_cxx_linker_fprofile_abs_path)
set(COVERAGE_CXX_LINKER_FLAGS "${COVERAGE_CXX_LINKER_FLAGS} -fprofile-abs-path")
endif ()
check_linker_flag(C -fprofile-abs-path HAVE_c_linker_fprofile_abs_path)
if(HAVE_c_linker_fprofile_abs_path)
set(COVERAGE_C_LINKER_FLAGS
"${COVERAGE_C_LINKER_FLAGS} -fprofile-abs-path"
)
endif()
if (HAVE_c_linker_fprofile_abs_path)
set(COVERAGE_C_LINKER_FLAGS "${COVERAGE_C_LINKER_FLAGS} -fprofile-abs-path")
endif ()
check_cxx_compiler_flag(-fprofile-update=atomic HAVE_cxx_fprofile_update)
if(HAVE_cxx_fprofile_update)
set(COVERAGE_CXX_COMPILER_FLAGS
"${COVERAGE_CXX_COMPILER_FLAGS} -fprofile-update=atomic"
)
endif()
if (HAVE_cxx_fprofile_update)
set(COVERAGE_CXX_COMPILER_FLAGS "${COVERAGE_CXX_COMPILER_FLAGS} -fprofile-update=atomic")
endif ()
check_c_compiler_flag(-fprofile-update=atomic HAVE_c_fprofile_update)
if(HAVE_c_fprofile_update)
set(COVERAGE_C_COMPILER_FLAGS
"${COVERAGE_C_COMPILER_FLAGS} -fprofile-update=atomic"
)
endif()
if (HAVE_c_fprofile_update)
set(COVERAGE_C_COMPILER_FLAGS "${COVERAGE_C_COMPILER_FLAGS} -fprofile-update=atomic")
endif ()
check_linker_flag(
CXX
-fprofile-update=atomic
HAVE_cxx_linker_fprofile_update
)
if(HAVE_cxx_linker_fprofile_update)
set(COVERAGE_CXX_LINKER_FLAGS
"${COVERAGE_CXX_LINKER_FLAGS} -fprofile-update=atomic"
)
endif()
check_linker_flag(CXX -fprofile-update=atomic HAVE_cxx_linker_fprofile_update)
if (HAVE_cxx_linker_fprofile_update)
set(COVERAGE_CXX_LINKER_FLAGS "${COVERAGE_CXX_LINKER_FLAGS} -fprofile-update=atomic")
endif ()
check_linker_flag(C -fprofile-update=atomic HAVE_c_linker_fprofile_update)
if(HAVE_c_linker_fprofile_update)
set(COVERAGE_C_LINKER_FLAGS
"${COVERAGE_C_LINKER_FLAGS} -fprofile-update=atomic"
)
endif()
endif()
if (HAVE_c_linker_fprofile_update)
set(COVERAGE_C_LINKER_FLAGS "${COVERAGE_C_LINKER_FLAGS} -fprofile-update=atomic")
endif ()
get_property(
GENERATOR_IS_MULTI_CONFIG
GLOBAL
PROPERTY GENERATOR_IS_MULTI_CONFIG
)
if(NOT (CMAKE_BUILD_TYPE STREQUAL "Debug" OR GENERATOR_IS_MULTI_CONFIG))
message(
WARNING
"Code coverage results with an optimised (non-Debug) build may be misleading"
)
endif() # NOT (CMAKE_BUILD_TYPE STREQUAL "Debug" OR GENERATOR_IS_MULTI_CONFIG)
endif ()
get_property(GENERATOR_IS_MULTI_CONFIG GLOBAL PROPERTY GENERATOR_IS_MULTI_CONFIG)
if (NOT (CMAKE_BUILD_TYPE STREQUAL "Debug" OR GENERATOR_IS_MULTI_CONFIG))
message(WARNING "Code coverage results with an optimised (non-Debug) build may be misleading")
endif () # NOT (CMAKE_BUILD_TYPE STREQUAL "Debug" OR GENERATOR_IS_MULTI_CONFIG)
# Defines a target for running and collection code coverage information
# Builds dependencies, runs the given executable and outputs reports.
@@ -326,167 +292,125 @@ endif() # NOT (CMAKE_BUILD_TYPE STREQUAL "Debug" OR GENERATOR_IS_MULTI_CONFIG)
# )
# The user can set the variable GCOVR_ADDITIONAL_ARGS to supply additional flags to the
# GCVOR command.
function(setup_target_for_coverage_gcovr)
function (setup_target_for_coverage_gcovr)
set(options NONE)
set(oneValueArgs BASE_DIRECTORY NAME FORMAT)
set(multiValueArgs EXCLUDE EXECUTABLE EXECUTABLE_ARGS DEPENDENCIES)
cmake_parse_arguments(
Coverage
"${options}"
"${oneValueArgs}"
"${multiValueArgs}"
${ARGN}
)
cmake_parse_arguments(Coverage "${options}" "${oneValueArgs}" "${multiValueArgs}" ${ARGN})
if(NOT GCOV_TOOL)
if (NOT GCOV_TOOL)
message(FATAL_ERROR "Could not find gcov or llvm-cov tool! Aborting...")
endif()
endif ()
if(NOT GCOVR_PATH)
if (NOT GCOVR_PATH)
message(FATAL_ERROR "Could not find gcovr tool! Aborting...")
endif()
endif ()
# Set base directory (as absolute path), or default to PROJECT_SOURCE_DIR
if(DEFINED Coverage_BASE_DIRECTORY)
if (DEFINED Coverage_BASE_DIRECTORY)
get_filename_component(BASEDIR ${Coverage_BASE_DIRECTORY} ABSOLUTE)
else()
else ()
set(BASEDIR ${PROJECT_SOURCE_DIR})
endif()
endif ()
if(NOT DEFINED Coverage_FORMAT)
if (NOT DEFINED Coverage_FORMAT)
set(Coverage_FORMAT xml)
endif()
endif ()
if(NOT DEFINED Coverage_EXECUTABLE AND DEFINED Coverage_EXECUTABLE_ARGS)
message(
FATAL_ERROR
"EXECUTABLE_ARGS must not be set if EXECUTABLE is not set"
)
endif()
if (NOT DEFINED Coverage_EXECUTABLE AND DEFINED Coverage_EXECUTABLE_ARGS)
message(FATAL_ERROR "EXECUTABLE_ARGS must not be set if EXECUTABLE is not set")
endif ()
if("--output" IN_LIST GCOVR_ADDITIONAL_ARGS)
message(
FATAL_ERROR
"Unsupported --output option detected in GCOVR_ADDITIONAL_ARGS! Aborting..."
if ("--output" IN_LIST GCOVR_ADDITIONAL_ARGS)
message(FATAL_ERROR "Unsupported --output option detected in GCOVR_ADDITIONAL_ARGS! Aborting..."
)
else()
if(
(Coverage_FORMAT STREQUAL "html-details")
OR (Coverage_FORMAT STREQUAL "html-nested")
)
set(GCOVR_OUTPUT_FILE
${PROJECT_BINARY_DIR}/${Coverage_NAME}/index.html
)
else ()
if ((Coverage_FORMAT STREQUAL "html-details") OR (Coverage_FORMAT STREQUAL "html-nested"))
set(GCOVR_OUTPUT_FILE ${PROJECT_BINARY_DIR}/${Coverage_NAME}/index.html)
set(GCOVR_CREATE_FOLDER ${PROJECT_BINARY_DIR}/${Coverage_NAME})
elseif(Coverage_FORMAT STREQUAL "html-single")
elseif (Coverage_FORMAT STREQUAL "html-single")
set(GCOVR_OUTPUT_FILE ${Coverage_NAME}.html)
elseif(
(Coverage_FORMAT STREQUAL "json-summary")
OR (Coverage_FORMAT STREQUAL "json-details")
OR (Coverage_FORMAT STREQUAL "coveralls")
)
elseif ((Coverage_FORMAT STREQUAL "json-summary") OR (Coverage_FORMAT STREQUAL
"json-details")
OR (Coverage_FORMAT STREQUAL "coveralls"))
set(GCOVR_OUTPUT_FILE ${Coverage_NAME}.json)
elseif(Coverage_FORMAT STREQUAL "txt")
elseif (Coverage_FORMAT STREQUAL "txt")
set(GCOVR_OUTPUT_FILE ${Coverage_NAME}.txt)
elseif(Coverage_FORMAT STREQUAL "csv")
elseif (Coverage_FORMAT STREQUAL "csv")
set(GCOVR_OUTPUT_FILE ${Coverage_NAME}.csv)
elseif(Coverage_FORMAT STREQUAL "lcov")
elseif (Coverage_FORMAT STREQUAL "lcov")
set(GCOVR_OUTPUT_FILE ${Coverage_NAME}.lcov)
else()
else ()
set(GCOVR_OUTPUT_FILE ${Coverage_NAME}.xml)
endif()
endif()
endif ()
endif ()
if(
(Coverage_FORMAT STREQUAL "cobertura")
OR (Coverage_FORMAT STREQUAL "xml")
)
if ((Coverage_FORMAT STREQUAL "cobertura") OR (Coverage_FORMAT STREQUAL "xml"))
list(APPEND GCOVR_ADDITIONAL_ARGS --cobertura "${GCOVR_OUTPUT_FILE}")
list(APPEND GCOVR_ADDITIONAL_ARGS --cobertura-pretty)
set(Coverage_FORMAT cobertura) # overwrite xml
elseif(Coverage_FORMAT STREQUAL "sonarqube")
elseif (Coverage_FORMAT STREQUAL "sonarqube")
list(APPEND GCOVR_ADDITIONAL_ARGS --sonarqube "${GCOVR_OUTPUT_FILE}")
elseif(Coverage_FORMAT STREQUAL "jacoco")
elseif (Coverage_FORMAT STREQUAL "jacoco")
list(APPEND GCOVR_ADDITIONAL_ARGS --jacoco "${GCOVR_OUTPUT_FILE}")
list(APPEND GCOVR_ADDITIONAL_ARGS --jacoco-pretty)
elseif(Coverage_FORMAT STREQUAL "clover")
elseif (Coverage_FORMAT STREQUAL "clover")
list(APPEND GCOVR_ADDITIONAL_ARGS --clover "${GCOVR_OUTPUT_FILE}")
list(APPEND GCOVR_ADDITIONAL_ARGS --clover-pretty)
elseif(Coverage_FORMAT STREQUAL "lcov")
elseif (Coverage_FORMAT STREQUAL "lcov")
list(APPEND GCOVR_ADDITIONAL_ARGS --lcov "${GCOVR_OUTPUT_FILE}")
elseif(Coverage_FORMAT STREQUAL "json-summary")
elseif (Coverage_FORMAT STREQUAL "json-summary")
list(APPEND GCOVR_ADDITIONAL_ARGS --json-summary "${GCOVR_OUTPUT_FILE}")
list(APPEND GCOVR_ADDITIONAL_ARGS --json-summary-pretty)
elseif(Coverage_FORMAT STREQUAL "json-details")
elseif (Coverage_FORMAT STREQUAL "json-details")
list(APPEND GCOVR_ADDITIONAL_ARGS --json "${GCOVR_OUTPUT_FILE}")
list(APPEND GCOVR_ADDITIONAL_ARGS --json-pretty)
elseif(Coverage_FORMAT STREQUAL "coveralls")
elseif (Coverage_FORMAT STREQUAL "coveralls")
list(APPEND GCOVR_ADDITIONAL_ARGS --coveralls "${GCOVR_OUTPUT_FILE}")
list(APPEND GCOVR_ADDITIONAL_ARGS --coveralls-pretty)
elseif(Coverage_FORMAT STREQUAL "csv")
elseif (Coverage_FORMAT STREQUAL "csv")
list(APPEND GCOVR_ADDITIONAL_ARGS --csv "${GCOVR_OUTPUT_FILE}")
elseif(Coverage_FORMAT STREQUAL "txt")
elseif (Coverage_FORMAT STREQUAL "txt")
list(APPEND GCOVR_ADDITIONAL_ARGS --txt "${GCOVR_OUTPUT_FILE}")
elseif(Coverage_FORMAT STREQUAL "html-single")
elseif (Coverage_FORMAT STREQUAL "html-single")
list(APPEND GCOVR_ADDITIONAL_ARGS --html "${GCOVR_OUTPUT_FILE}")
list(APPEND GCOVR_ADDITIONAL_ARGS --html-self-contained)
elseif(Coverage_FORMAT STREQUAL "html-nested")
elseif (Coverage_FORMAT STREQUAL "html-nested")
list(APPEND GCOVR_ADDITIONAL_ARGS --html-nested "${GCOVR_OUTPUT_FILE}")
elseif(Coverage_FORMAT STREQUAL "html-details")
elseif (Coverage_FORMAT STREQUAL "html-details")
list(APPEND GCOVR_ADDITIONAL_ARGS --html-details "${GCOVR_OUTPUT_FILE}")
else()
message(
FATAL_ERROR
"Unsupported output style ${Coverage_FORMAT}! Aborting..."
)
endif()
else ()
message(FATAL_ERROR "Unsupported output style ${Coverage_FORMAT}! Aborting...")
endif ()
# Collect excludes (CMake 3.4+: Also compute absolute paths)
set(GCOVR_EXCLUDES "")
foreach(
EXCLUDE
${Coverage_EXCLUDE}
${COVERAGE_EXCLUDES}
${COVERAGE_GCOVR_EXCLUDES}
)
if(CMAKE_VERSION VERSION_GREATER 3.4)
get_filename_component(
EXCLUDE
${EXCLUDE}
ABSOLUTE
BASE_DIR ${BASEDIR}
)
endif()
foreach (EXCLUDE ${Coverage_EXCLUDE} ${COVERAGE_EXCLUDES} ${COVERAGE_GCOVR_EXCLUDES})
if (CMAKE_VERSION VERSION_GREATER 3.4)
get_filename_component(EXCLUDE ${EXCLUDE} ABSOLUTE BASE_DIR ${BASEDIR})
endif ()
list(APPEND GCOVR_EXCLUDES "${EXCLUDE}")
endforeach()
endforeach ()
list(REMOVE_DUPLICATES GCOVR_EXCLUDES)
# Combine excludes to several -e arguments
set(GCOVR_EXCLUDE_ARGS "")
foreach(EXCLUDE ${GCOVR_EXCLUDES})
foreach (EXCLUDE ${GCOVR_EXCLUDES})
list(APPEND GCOVR_EXCLUDE_ARGS "-e")
list(APPEND GCOVR_EXCLUDE_ARGS "${EXCLUDE}")
endforeach()
endforeach ()
# Set up commands which will be run to generate coverage data
# If EXECUTABLE is not set, the user is expected to run the tests manually
# before running the coverage target NAME
if(DEFINED Coverage_EXECUTABLE)
set(GCOVR_EXEC_TESTS_CMD
${Coverage_EXECUTABLE}
${Coverage_EXECUTABLE_ARGS}
)
endif()
if (DEFINED Coverage_EXECUTABLE)
set(GCOVR_EXEC_TESTS_CMD ${Coverage_EXECUTABLE} ${Coverage_EXECUTABLE_ARGS})
endif ()
# Create folder
if(DEFINED GCOVR_CREATE_FOLDER)
set(GCOVR_FOLDER_CMD
${CMAKE_COMMAND}
-E
make_directory
${GCOVR_CREATE_FOLDER}
)
endif()
if (DEFINED GCOVR_CREATE_FOLDER)
set(GCOVR_FOLDER_CMD ${CMAKE_COMMAND} -E make_directory ${GCOVR_CREATE_FOLDER})
endif ()
# Running gcovr
set(GCOVR_CMD
@@ -498,95 +422,56 @@ function(setup_target_for_coverage_gcovr)
${BASEDIR}
${GCOVR_ADDITIONAL_ARGS}
${GCOVR_EXCLUDE_ARGS}
--object-directory=${PROJECT_BINARY_DIR}
)
--object-directory=${PROJECT_BINARY_DIR})
if(CODE_COVERAGE_VERBOSE)
if (CODE_COVERAGE_VERBOSE)
message(STATUS "Executed command report")
if(NOT "${GCOVR_EXEC_TESTS_CMD}" STREQUAL "")
if (NOT "${GCOVR_EXEC_TESTS_CMD}" STREQUAL "")
message(STATUS "Command to run tests: ")
string(
REPLACE ";"
" "
GCOVR_EXEC_TESTS_CMD_SPACED
"${GCOVR_EXEC_TESTS_CMD}"
)
string(REPLACE ";" " " GCOVR_EXEC_TESTS_CMD_SPACED "${GCOVR_EXEC_TESTS_CMD}")
message(STATUS "${GCOVR_EXEC_TESTS_CMD_SPACED}")
endif()
endif ()
if(NOT "${GCOVR_FOLDER_CMD}" STREQUAL "")
if (NOT "${GCOVR_FOLDER_CMD}" STREQUAL "")
message(STATUS "Command to create a folder: ")
string(
REPLACE ";"
" "
GCOVR_FOLDER_CMD_SPACED
"${GCOVR_FOLDER_CMD}"
)
string(REPLACE ";" " " GCOVR_FOLDER_CMD_SPACED "${GCOVR_FOLDER_CMD}")
message(STATUS "${GCOVR_FOLDER_CMD_SPACED}")
endif()
endif ()
message(STATUS "Command to generate gcovr coverage data: ")
string(REPLACE ";" " " GCOVR_CMD_SPACED "${GCOVR_CMD}")
message(STATUS "${GCOVR_CMD_SPACED}")
endif()
endif ()
add_custom_target(
${Coverage_NAME}
COMMAND ${GCOVR_EXEC_TESTS_CMD}
COMMAND ${GCOVR_FOLDER_CMD}
COMMAND ${GCOVR_CMD}
BYPRODUCTS ${GCOVR_OUTPUT_FILE}
WORKING_DIRECTORY ${PROJECT_BINARY_DIR}
DEPENDS ${Coverage_DEPENDENCIES}
VERBATIM # Protect arguments to commands
COMMENT "Running gcovr to produce code coverage report."
)
add_custom_target(${Coverage_NAME}
COMMAND ${GCOVR_EXEC_TESTS_CMD}
COMMAND ${GCOVR_FOLDER_CMD}
COMMAND ${GCOVR_CMD}
BYPRODUCTS ${GCOVR_OUTPUT_FILE}
WORKING_DIRECTORY ${PROJECT_BINARY_DIR}
DEPENDS ${Coverage_DEPENDENCIES}
VERBATIM # Protect arguments to commands
COMMENT "Running gcovr to produce code coverage report.")
# Show info where to find the report
add_custom_command(
TARGET ${Coverage_NAME}
POST_BUILD
COMMAND echo
COMMENT
"Code coverage report saved in ${GCOVR_OUTPUT_FILE} formatted as ${Coverage_FORMAT}"
TARGET ${Coverage_NAME} POST_BUILD COMMAND echo
COMMENT "Code coverage report saved in ${GCOVR_OUTPUT_FILE} formatted as ${Coverage_FORMAT}"
)
endfunction() # setup_target_for_coverage_gcovr
endfunction () # setup_target_for_coverage_gcovr
function(add_code_coverage_to_target name scope)
separate_arguments(
COVERAGE_CXX_COMPILER_FLAGS
NATIVE_COMMAND
"${COVERAGE_CXX_COMPILER_FLAGS}"
)
separate_arguments(
COVERAGE_C_COMPILER_FLAGS
NATIVE_COMMAND
"${COVERAGE_C_COMPILER_FLAGS}"
)
separate_arguments(
COVERAGE_CXX_LINKER_FLAGS
NATIVE_COMMAND
"${COVERAGE_CXX_LINKER_FLAGS}"
)
separate_arguments(
COVERAGE_C_LINKER_FLAGS
NATIVE_COMMAND
"${COVERAGE_C_LINKER_FLAGS}"
)
function (add_code_coverage_to_target name scope)
separate_arguments(COVERAGE_CXX_COMPILER_FLAGS NATIVE_COMMAND "${COVERAGE_CXX_COMPILER_FLAGS}")
separate_arguments(COVERAGE_C_COMPILER_FLAGS NATIVE_COMMAND "${COVERAGE_C_COMPILER_FLAGS}")
separate_arguments(COVERAGE_CXX_LINKER_FLAGS NATIVE_COMMAND "${COVERAGE_CXX_LINKER_FLAGS}")
separate_arguments(COVERAGE_C_LINKER_FLAGS NATIVE_COMMAND "${COVERAGE_C_LINKER_FLAGS}")
# Add compiler options to the target
target_compile_options(
${name}
${scope}
$<$<COMPILE_LANGUAGE:CXX>:${COVERAGE_CXX_COMPILER_FLAGS}>
$<$<COMPILE_LANGUAGE:C>:${COVERAGE_C_COMPILER_FLAGS}>
)
${name} ${scope} $<$<COMPILE_LANGUAGE:CXX>:${COVERAGE_CXX_COMPILER_FLAGS}>
$<$<COMPILE_LANGUAGE:C>:${COVERAGE_C_COMPILER_FLAGS}>)
target_link_libraries(
${name}
${scope}
$<$<LINK_LANGUAGE:CXX>:${COVERAGE_CXX_LINKER_FLAGS}>
$<$<LINK_LANGUAGE:C>:${COVERAGE_C_LINKER_FLAGS}>
)
endfunction() # add_code_coverage_to_target
target_link_libraries(${name} ${scope} $<$<LINK_LANGUAGE:CXX>:${COVERAGE_CXX_LINKER_FLAGS}>
$<$<LINK_LANGUAGE:C>:${COVERAGE_C_LINKER_FLAGS}>)
endfunction () # add_code_coverage_to_target

View File

@@ -14,20 +14,20 @@ set(is_gcc FALSE)
set(is_msvc FALSE)
set(is_xcode FALSE)
if(CMAKE_CXX_COMPILER_ID MATCHES ".*Clang") # Clang or AppleClang
if (CMAKE_CXX_COMPILER_ID MATCHES ".*Clang") # Clang or AppleClang
set(is_clang TRUE)
elseif(CMAKE_CXX_COMPILER_ID STREQUAL "GNU")
elseif (CMAKE_CXX_COMPILER_ID STREQUAL "GNU")
set(is_gcc TRUE)
elseif(MSVC)
elseif (MSVC)
set(is_msvc TRUE)
else()
else ()
message(FATAL_ERROR "Unsupported C++ compiler: ${CMAKE_CXX_COMPILER_ID}")
endif()
endif ()
# Xcode generator detection
if(CMAKE_GENERATOR STREQUAL "Xcode")
if (CMAKE_GENERATOR STREQUAL "Xcode")
set(is_xcode TRUE)
endif()
endif ()
# --------------------------------------------------------------------
# Operating system detection
@@ -36,23 +36,23 @@ set(is_linux FALSE)
set(is_windows FALSE)
set(is_macos FALSE)
if(CMAKE_SYSTEM_NAME STREQUAL "Linux")
if (CMAKE_SYSTEM_NAME STREQUAL "Linux")
set(is_linux TRUE)
elseif(CMAKE_SYSTEM_NAME STREQUAL "Windows")
elseif (CMAKE_SYSTEM_NAME STREQUAL "Windows")
set(is_windows TRUE)
elseif(CMAKE_SYSTEM_NAME STREQUAL "Darwin")
elseif (CMAKE_SYSTEM_NAME STREQUAL "Darwin")
set(is_macos TRUE)
endif()
endif ()
# --------------------------------------------------------------------
# Architecture
# --------------------------------------------------------------------
set(is_amd64 FALSE)
set(is_arm64 FALSE)
if(CMAKE_SYSTEM_PROCESSOR MATCHES "x86_64|AMD64")
if (CMAKE_SYSTEM_PROCESSOR MATCHES "x86_64|AMD64")
set(is_amd64 TRUE)
elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "aarch64|arm64|ARM64")
elseif (CMAKE_SYSTEM_PROCESSOR MATCHES "aarch64|arm64|ARM64")
set(is_arm64 TRUE)
else()
else ()
message(FATAL_ERROR "Unknown architecture: ${CMAKE_SYSTEM_PROCESSOR}")
endif()
endif ()

View File

@@ -1,28 +0,0 @@
include_guard()
set(GIT_BUILD_BRANCH "")
set(GIT_COMMIT_HASH "")
find_package(Git)
if(NOT Git_FOUND)
message(WARNING "Git not found. Git branch and commit hash will be empty.")
return()
endif()
set(GIT_DIRECTORY ${CMAKE_CURRENT_SOURCE_DIR}/.git)
execute_process(
COMMAND
${GIT_EXECUTABLE} --git-dir=${GIT_DIRECTORY} rev-parse --abbrev-ref HEAD
OUTPUT_STRIP_TRAILING_WHITESPACE
OUTPUT_VARIABLE GIT_BUILD_BRANCH
)
execute_process(
COMMAND ${GIT_EXECUTABLE} --git-dir=${GIT_DIRECTORY} rev-parse HEAD
OUTPUT_STRIP_TRAILING_WHITESPACE
OUTPUT_VARIABLE GIT_COMMIT_HASH
)
message(STATUS "Git branch: ${GIT_BUILD_BRANCH}")
message(STATUS "Git commit hash: ${GIT_COMMIT_HASH}")

View File

@@ -1,17 +1,13 @@
include(isolate_headers)
function(xrpl_add_test name)
function (xrpl_add_test name)
set(target ${PROJECT_NAME}.test.${name})
file(
GLOB_RECURSE sources
CONFIGURE_DEPENDS
"${CMAKE_CURRENT_SOURCE_DIR}/${name}/*.cpp"
"${CMAKE_CURRENT_SOURCE_DIR}/${name}.cpp"
)
file(GLOB_RECURSE sources CONFIGURE_DEPENDS "${CMAKE_CURRENT_SOURCE_DIR}/${name}/*.cpp"
"${CMAKE_CURRENT_SOURCE_DIR}/${name}.cpp")
add_executable(${target} ${ARGN} ${sources})
isolate_headers(${target} "${CMAKE_SOURCE_DIR}" "${CMAKE_SOURCE_DIR}/tests/${name}" PRIVATE)
add_test(NAME ${target} COMMAND ${target})
endfunction()
endfunction ()

View File

@@ -14,42 +14,33 @@ include(XrplSanitizers)
# add a single global dependency on this interface lib
link_libraries(Xrpl::common)
# Respect CMAKE_POSITION_INDEPENDENT_CODE setting (may be set by Conan toolchain)
if(NOT DEFINED CMAKE_POSITION_INDEPENDENT_CODE)
if (NOT DEFINED CMAKE_POSITION_INDEPENDENT_CODE)
set(CMAKE_POSITION_INDEPENDENT_CODE ON)
endif()
set_target_properties(
common
PROPERTIES
INTERFACE_POSITION_INDEPENDENT_CODE ${CMAKE_POSITION_INDEPENDENT_CODE}
)
endif ()
set_target_properties(common PROPERTIES INTERFACE_POSITION_INDEPENDENT_CODE
${CMAKE_POSITION_INDEPENDENT_CODE})
set(CMAKE_CXX_EXTENSIONS OFF)
target_compile_definitions(
common
INTERFACE
$<$<CONFIG:Debug>:DEBUG
_DEBUG>
#[===[
INTERFACE $<$<CONFIG:Debug>:DEBUG
_DEBUG>
#[===[
NOTE: CMAKE release builds already have NDEBUG defined, so no need to add it
explicitly except for the special case of (profile ON) and (assert OFF).
Presumably this is because we don't want profile builds asserting unless
asserts were specifically requested.
]===]
$<$<AND:$<BOOL:${profile}>,$<NOT:$<BOOL:${assert}>>>:NDEBUG>
# TODO: Remove once we have migrated functions from OpenSSL 1.x to 3.x.
OPENSSL_SUPPRESS_DEPRECATED
)
$<$<AND:$<BOOL:${profile}>,$<NOT:$<BOOL:${assert}>>>:NDEBUG>
# TODO: Remove once we have migrated functions from OpenSSL 1.x to 3.x.
OPENSSL_SUPPRESS_DEPRECATED)
if(MSVC)
if (MSVC)
# remove existing exception flag since we set it to -EHa
string(REGEX REPLACE "[-/]EH[a-z]+" "" CMAKE_CXX_FLAGS "${CMAKE_CXX_FLAGS}")
foreach(
var_
CMAKE_C_FLAGS_DEBUG
CMAKE_C_FLAGS_RELEASE
CMAKE_CXX_FLAGS_DEBUG
CMAKE_CXX_FLAGS_RELEASE
)
foreach (var_ CMAKE_C_FLAGS_DEBUG CMAKE_C_FLAGS_RELEASE CMAKE_CXX_FLAGS_DEBUG
CMAKE_CXX_FLAGS_RELEASE)
# also remove dynamic runtime
string(REGEX REPLACE "[-/]MD[d]*" " " ${var_} "${${var_}}")
@@ -57,143 +48,120 @@ if(MSVC)
string(REPLACE "/ZI" "/Zi" ${var_} "${${var_}}")
# omit debug info completely under CI (not needed)
if(is_ci)
if (is_ci)
string(REPLACE "/Zi" " " ${var_} "${${var_}}")
string(REPLACE "/Z7" " " ${var_} "${${var_}}")
endif()
endforeach()
endif ()
endforeach ()
target_compile_options(
common
INTERFACE # Increase object file max size
-bigobj
# Floating point behavior
-fp:precise
# __cdecl calling convention
-Gd
# Minimal rebuild: disabled
-Gm-
# Function level linking: disabled
-Gy-
# Multiprocessor compilation
-MP
# pragma omp: disabled
-openmp-
# No error reporting to Internet
-errorReport:none
# Suppress login banner
-nologo
# Disable signed/unsigned comparison warnings
-wd4018
# Disable float to int possible loss of data warnings
-wd4244
# Disable size_t to T possible loss of data warnings
-wd4267
# Disable C4800(int to bool performance)
-wd4800
# Decorated name length exceeded, name was truncated
-wd4503
$<$<COMPILE_LANGUAGE:CXX>:
-EHa
-GR
>
$<$<CONFIG:Release>:-Ox>
$<$<AND:$<COMPILE_LANGUAGE:CXX>,$<CONFIG:Debug>>:
-GS
-Zc:forScope
>
# static runtime
$<$<CONFIG:Debug>:-MTd>
$<$<NOT:$<CONFIG:Debug>>:-MT>
$<$<BOOL:${werr}>:-WX>
)
-bigobj
# Floating point behavior
-fp:precise
# __cdecl calling convention
-Gd
# Minimal rebuild: disabled
-Gm-
# Function level linking: disabled
-Gy-
# Multiprocessor compilation
-MP
# pragma omp: disabled
-openmp-
# No error reporting to Internet
-errorReport:none
# Suppress login banner
-nologo
# Disable signed/unsigned comparison warnings
-wd4018
# Disable float to int possible loss of data warnings
-wd4244
# Disable size_t to T possible loss of data warnings
-wd4267
# Disable C4800(int to bool performance)
-wd4800
# Decorated name length exceeded, name was truncated
-wd4503
$<$<COMPILE_LANGUAGE:CXX>:
-EHa
-GR
>
$<$<CONFIG:Release>:-Ox>
$<$<AND:$<COMPILE_LANGUAGE:CXX>,$<CONFIG:Debug>>:
-GS
-Zc:forScope
>
# static runtime
$<$<CONFIG:Debug>:-MTd>
$<$<NOT:$<CONFIG:Debug>>:-MT>
$<$<BOOL:${werr}>:-WX>)
target_compile_definitions(
common
INTERFACE
_WIN32_WINNT=0x6000
_SCL_SECURE_NO_WARNINGS
_CRT_SECURE_NO_WARNINGS
WIN32_CONSOLE
WIN32_LEAN_AND_MEAN
NOMINMAX
# TODO: Resolve these warnings, don't just silence them
_SILENCE_ALL_CXX17_DEPRECATION_WARNINGS
$<$<AND:$<COMPILE_LANGUAGE:CXX>,$<CONFIG:Debug>>:_CRTDBG_MAP_ALLOC>
)
INTERFACE _WIN32_WINNT=0x6000
_SCL_SECURE_NO_WARNINGS
_CRT_SECURE_NO_WARNINGS
WIN32_CONSOLE
WIN32_LEAN_AND_MEAN
NOMINMAX
# TODO: Resolve these warnings, don't just silence them
_SILENCE_ALL_CXX17_DEPRECATION_WARNINGS
$<$<AND:$<COMPILE_LANGUAGE:CXX>,$<CONFIG:Debug>>:_CRTDBG_MAP_ALLOC>)
target_link_libraries(common INTERFACE -errorreport:none -machine:X64)
else()
else ()
target_compile_options(
common
INTERFACE
-Wall
-Wdeprecated
$<$<BOOL:${is_clang}>:-Wno-deprecated-declarations>
$<$<BOOL:${wextra}>:-Wextra
-Wno-unused-parameter>
$<$<BOOL:${werr}>:-Werror>
-fstack-protector
-Wno-sign-compare
-Wno-unused-but-set-variable
$<$<NOT:$<CONFIG:Debug>>:-fno-strict-aliasing>
# tweak gcc optimization for debug
$<$<AND:$<BOOL:${is_gcc}>,$<CONFIG:Debug>>:-O0>
# Add debug symbols to release config
$<$<CONFIG:Release>:-g>
)
INTERFACE -Wall
-Wdeprecated
$<$<BOOL:${is_clang}>:-Wno-deprecated-declarations>
$<$<BOOL:${wextra}>:-Wextra
-Wno-unused-parameter>
$<$<BOOL:${werr}>:-Werror>
-fstack-protector
-Wno-sign-compare
-Wno-unused-but-set-variable
$<$<NOT:$<CONFIG:Debug>>:-fno-strict-aliasing>
# tweak gcc optimization for debug
$<$<AND:$<BOOL:${is_gcc}>,$<CONFIG:Debug>>:-O0>
# Add debug symbols to release config
$<$<CONFIG:Release>:-g>)
target_link_libraries(
common
INTERFACE
-rdynamic
$<$<BOOL:${is_linux}>:-Wl,-z,relro,-z,now,--build-id>
# link to static libc/c++ iff: * static option set and * NOT APPLE (AppleClang does not support static
# libc/c++) and * NOT SANITIZERS (sanitizers typically don't work with static libc/c++)
$<$<AND:$<BOOL:${static}>,$<NOT:$<BOOL:${APPLE}>>,$<NOT:$<BOOL:${SANITIZERS_ENABLED}>>>:
-static-libstdc++
-static-libgcc
>
)
endif()
INTERFACE -rdynamic
$<$<BOOL:${is_linux}>:-Wl,-z,relro,-z,now,--build-id>
# link to static libc/c++ iff: * static option set and * NOT APPLE (AppleClang does not support static
# libc/c++) and * NOT SANITIZERS (sanitizers typically don't work with static libc/c++)
$<$<AND:$<BOOL:${static}>,$<NOT:$<BOOL:${APPLE}>>,$<NOT:$<BOOL:${SANITIZERS_ENABLED}>>>:
-static-libstdc++
-static-libgcc
>)
endif ()
# Antithesis instrumentation will only be built and deployed using machines running Linux.
if(voidstar)
if(NOT CMAKE_BUILD_TYPE STREQUAL "Debug")
message(
FATAL_ERROR
"Antithesis instrumentation requires Debug build type, aborting..."
if (voidstar)
if (NOT CMAKE_BUILD_TYPE STREQUAL "Debug")
message(FATAL_ERROR "Antithesis instrumentation requires Debug build type, aborting...")
elseif (NOT is_linux)
message(FATAL_ERROR "Antithesis instrumentation requires Linux, aborting...")
elseif (NOT (is_clang AND CMAKE_CXX_COMPILER_VERSION VERSION_GREATER_EQUAL 16.0))
message(FATAL_ERROR "Antithesis instrumentation requires Clang version 16 or later, aborting..."
)
elseif(NOT is_linux)
message(
FATAL_ERROR
"Antithesis instrumentation requires Linux, aborting..."
)
elseif(
NOT (is_clang AND CMAKE_CXX_COMPILER_VERSION VERSION_GREATER_EQUAL 16.0)
)
message(
FATAL_ERROR
"Antithesis instrumentation requires Clang version 16 or later, aborting..."
)
endif()
endif()
endif ()
endif ()
if(use_mold)
if (use_mold)
# use mold linker if available
execute_process(
COMMAND ${CMAKE_CXX_COMPILER} -fuse-ld=mold -Wl,--version
ERROR_QUIET
OUTPUT_VARIABLE LD_VERSION
)
if("${LD_VERSION}" MATCHES "mold")
execute_process(COMMAND ${CMAKE_CXX_COMPILER} -fuse-ld=mold -Wl,--version ERROR_QUIET
OUTPUT_VARIABLE LD_VERSION)
if ("${LD_VERSION}" MATCHES "mold")
target_link_libraries(common INTERFACE -fuse-ld=mold)
endif()
endif ()
unset(LD_VERSION)
elseif(use_gold AND is_gcc)
elseif (use_gold AND is_gcc)
# use gold linker if available
execute_process(
COMMAND ${CMAKE_CXX_COMPILER} -fuse-ld=gold -Wl,--version
ERROR_QUIET
OUTPUT_VARIABLE LD_VERSION
)
execute_process(COMMAND ${CMAKE_CXX_COMPILER} -fuse-ld=gold -Wl,--version ERROR_QUIET
OUTPUT_VARIABLE LD_VERSION)
#[=========================================================[
NOTE: THE gold linker inserts -rpath as DT_RUNPATH by
default instead of DT_RPATH, so you might have slightly
@@ -207,37 +175,32 @@ elseif(use_gold AND is_gcc)
disabling would be to figure out all the settings
required to make gold play nicely with jemalloc.
#]=========================================================]
if(("${LD_VERSION}" MATCHES "GNU gold") AND (NOT jemalloc))
if (("${LD_VERSION}" MATCHES "GNU gold") AND (NOT jemalloc))
target_link_libraries(
common
INTERFACE
-fuse-ld=gold
-Wl,--no-as-needed
#[=========================================================[
INTERFACE -fuse-ld=gold
-Wl,--no-as-needed
#[=========================================================[
see https://bugs.launchpad.net/ubuntu/+source/eglibc/+bug/1253638/comments/5
DT_RUNPATH does not work great for transitive
dependencies (of which boost has a few) - so just
switch to DT_RPATH if doing dynamic linking with gold
#]=========================================================]
$<$<NOT:$<BOOL:${static}>>:-Wl,--disable-new-dtags>
)
endif()
$<$<NOT:$<BOOL:${static}>>:-Wl,--disable-new-dtags>)
endif ()
unset(LD_VERSION)
elseif(use_lld)
elseif (use_lld)
# use lld linker if available
execute_process(
COMMAND ${CMAKE_CXX_COMPILER} -fuse-ld=lld -Wl,--version
ERROR_QUIET
OUTPUT_VARIABLE LD_VERSION
)
if("${LD_VERSION}" MATCHES "LLD")
execute_process(COMMAND ${CMAKE_CXX_COMPILER} -fuse-ld=lld -Wl,--version ERROR_QUIET
OUTPUT_VARIABLE LD_VERSION)
if ("${LD_VERSION}" MATCHES "LLD")
target_link_libraries(common INTERFACE -fuse-ld=lld)
endif()
endif ()
unset(LD_VERSION)
endif()
endif ()
if(assert)
foreach(var_ CMAKE_C_FLAGS_RELEASE CMAKE_CXX_FLAGS_RELEASE)
if (assert)
foreach (var_ CMAKE_C_FLAGS_RELEASE CMAKE_CXX_FLAGS_RELEASE)
string(REGEX REPLACE "[-/]DNDEBUG" "" ${var_} "${${var_}}")
endforeach()
endif()
endforeach ()
endif ()

View File

@@ -3,58 +3,50 @@ include(CMakeFindDependencyMacro)
#[=========================================================[
Boost
#]=========================================================]
if(static OR APPLE OR MSVC)
if (static OR APPLE OR MSVC)
set(Boost_USE_STATIC_LIBS ON)
endif()
endif ()
set(Boost_USE_MULTITHREADED ON)
if(static OR MSVC)
if (static OR MSVC)
set(Boost_USE_STATIC_RUNTIME ON)
else()
else ()
set(Boost_USE_STATIC_RUNTIME OFF)
endif()
find_dependency(
Boost
COMPONENTS
chrono
container
context
coroutine
date_time
filesystem
program_options
regex
system
thread
)
endif ()
find_dependency(Boost
COMPONENTS
chrono
container
context
coroutine
date_time
filesystem
program_options
regex
system
thread)
#[=========================================================[
OpenSSL
#]=========================================================]
if(NOT DEFINED OPENSSL_ROOT_DIR)
if(DEFINED ENV{OPENSSL_ROOT})
if (NOT DEFINED OPENSSL_ROOT_DIR)
if (DEFINED ENV{OPENSSL_ROOT})
set(OPENSSL_ROOT_DIR $ENV{OPENSSL_ROOT})
elseif(APPLE)
elseif (APPLE)
find_program(homebrew brew)
if(homebrew)
execute_process(
COMMAND ${homebrew} --prefix openssl
OUTPUT_VARIABLE OPENSSL_ROOT_DIR
OUTPUT_STRIP_TRAILING_WHITESPACE
)
endif()
endif()
if (homebrew)
execute_process(COMMAND ${homebrew} --prefix openssl OUTPUT_VARIABLE OPENSSL_ROOT_DIR
OUTPUT_STRIP_TRAILING_WHITESPACE)
endif ()
endif ()
file(TO_CMAKE_PATH "${OPENSSL_ROOT_DIR}" OPENSSL_ROOT_DIR)
endif()
endif ()
if(static OR APPLE OR MSVC)
if (static OR APPLE OR MSVC)
set(OPENSSL_USE_STATIC_LIBS ON)
endif()
endif ()
set(OPENSSL_MSVC_STATIC_RT ON)
find_dependency(OpenSSL REQUIRED)
find_dependency(ZLIB)
find_dependency(date)
if(TARGET ZLIB::ZLIB)
set_target_properties(
OpenSSL::Crypto
PROPERTIES INTERFACE_LINK_LIBRARIES ZLIB::ZLIB
)
endif()
if (TARGET ZLIB::ZLIB)
set_target_properties(OpenSSL::Crypto PROPERTIES INTERFACE_LINK_LIBRARIES ZLIB::ZLIB)
endif ()

View File

@@ -11,34 +11,24 @@ include(target_protobuf_sources)
add_library(xrpl.libpb)
set_target_properties(xrpl.libpb PROPERTIES UNITY_BUILD OFF)
target_protobuf_sources(xrpl.libpb xrpl/proto LANGUAGE cpp IMPORT_DIRS include/xrpl/proto
PROTOS include/xrpl/proto/xrpl.proto
)
PROTOS include/xrpl/proto/xrpl.proto)
file(GLOB_RECURSE protos "include/xrpl/proto/org/*.proto")
target_protobuf_sources(xrpl.libpb xrpl/proto LANGUAGE cpp IMPORT_DIRS include/xrpl/proto
PROTOS "${protos}"
)
PROTOS "${protos}")
target_protobuf_sources(
xrpl.libpb xrpl/proto
LANGUAGE grpc
IMPORT_DIRS include/xrpl/proto
PROTOS "${protos}"
PLUGIN protoc-gen-grpc=$<TARGET_FILE:gRPC::grpc_cpp_plugin>
GENERATE_EXTENSIONS .grpc.pb.h .grpc.pb.cc
)
GENERATE_EXTENSIONS .grpc.pb.h .grpc.pb.cc)
target_compile_options(
xrpl.libpb
PUBLIC
$<$<BOOL:${is_msvc}>:-wd4996>
$<$<BOOL:${is_xcode}>:
--system-header-prefix="google/protobuf"
-Wno-deprecated-dynamic-exception-spec
>
PRIVATE
$<$<BOOL:${is_msvc}>:-wd4065>
$<$<NOT:$<BOOL:${is_msvc}>>:-Wno-deprecated-declarations>
)
PUBLIC $<$<BOOL:${is_msvc}>:-wd4996> $<$<BOOL:${is_xcode}>:
--system-header-prefix="google/protobuf" -Wno-deprecated-dynamic-exception-spec >
PRIVATE $<$<BOOL:${is_msvc}>:-wd4065> $<$<NOT:$<BOOL:${is_msvc}>>:-Wno-deprecated-declarations>)
target_link_libraries(xrpl.libpb PUBLIC protobuf::libprotobuf gRPC::grpc++)
@@ -47,21 +37,19 @@ add_library(xrpl.imports.main INTERFACE)
target_link_libraries(
xrpl.imports.main
INTERFACE
absl::random_random
date::date
ed25519::ed25519
LibArchive::LibArchive
OpenSSL::Crypto
Xrpl::boost
Xrpl::libs
Xrpl::opts
Xrpl::syslibs
secp256k1::secp256k1
xrpl.libpb
xxHash::xxhash
$<$<BOOL:${voidstar}>:antithesis-sdk-cpp>
)
INTERFACE absl::random_random
date::date
ed25519::ed25519
LibArchive::LibArchive
OpenSSL::Crypto
Xrpl::boost
Xrpl::libs
Xrpl::opts
Xrpl::syslibs
secp256k1::secp256k1
xrpl.libpb
xxHash::xxhash
$<$<BOOL:${voidstar}>:antithesis-sdk-cpp>)
include(add_module)
include(target_link_modules)
@@ -70,16 +58,6 @@ include(target_link_modules)
add_module(xrpl beast)
target_link_libraries(xrpl.libxrpl.beast PUBLIC xrpl.imports.main)
include(GitInfo)
add_module(xrpl git)
target_compile_definitions(
xrpl.libxrpl.git
PRIVATE
GIT_COMMIT_HASH="${GIT_COMMIT_HASH}"
GIT_BUILD_BRANCH="${GIT_BUILD_BRANCH}"
)
target_link_libraries(xrpl.libxrpl.git PUBLIC xrpl.imports.main)
# Level 02
add_module(xrpl basics)
target_link_libraries(xrpl.libxrpl.basics PUBLIC xrpl.libxrpl.beast)
@@ -93,17 +71,12 @@ target_link_libraries(xrpl.libxrpl.crypto PUBLIC xrpl.libxrpl.basics)
# Level 04
add_module(xrpl protocol)
target_link_libraries(
xrpl.libxrpl.protocol
PUBLIC xrpl.libxrpl.crypto xrpl.libxrpl.git xrpl.libxrpl.json
)
target_link_libraries(xrpl.libxrpl.protocol PUBLIC xrpl.libxrpl.crypto xrpl.libxrpl.json)
# Level 05
add_module(xrpl core)
target_link_libraries(
xrpl.libxrpl.core
PUBLIC xrpl.libxrpl.basics xrpl.libxrpl.json xrpl.libxrpl.protocol
)
target_link_libraries(xrpl.libxrpl.core PUBLIC xrpl.libxrpl.basics xrpl.libxrpl.json
xrpl.libxrpl.protocol)
# Level 06
add_module(xrpl resource)
@@ -111,46 +84,23 @@ target_link_libraries(xrpl.libxrpl.resource PUBLIC xrpl.libxrpl.protocol)
# Level 07
add_module(xrpl net)
target_link_libraries(
xrpl.libxrpl.net
PUBLIC
xrpl.libxrpl.basics
xrpl.libxrpl.json
xrpl.libxrpl.protocol
xrpl.libxrpl.resource
)
target_link_libraries(xrpl.libxrpl.net PUBLIC xrpl.libxrpl.basics xrpl.libxrpl.json
xrpl.libxrpl.protocol xrpl.libxrpl.resource)
add_module(xrpl nodestore)
target_link_libraries(
xrpl.libxrpl.nodestore
PUBLIC xrpl.libxrpl.basics xrpl.libxrpl.json xrpl.libxrpl.protocol
)
target_link_libraries(xrpl.libxrpl.nodestore PUBLIC xrpl.libxrpl.basics xrpl.libxrpl.json
xrpl.libxrpl.protocol)
add_module(xrpl shamap)
target_link_libraries(
xrpl.libxrpl.shamap
PUBLIC
xrpl.libxrpl.basics
xrpl.libxrpl.crypto
xrpl.libxrpl.protocol
xrpl.libxrpl.nodestore
)
target_link_libraries(xrpl.libxrpl.shamap PUBLIC xrpl.libxrpl.basics xrpl.libxrpl.crypto
xrpl.libxrpl.protocol xrpl.libxrpl.nodestore)
add_module(xrpl rdb)
target_link_libraries(
xrpl.libxrpl.rdb
PUBLIC xrpl.libxrpl.basics xrpl.libxrpl.core
)
target_link_libraries(xrpl.libxrpl.rdb PUBLIC xrpl.libxrpl.basics xrpl.libxrpl.core)
add_module(xrpl server)
target_link_libraries(
xrpl.libxrpl.server
PUBLIC
xrpl.libxrpl.protocol
xrpl.libxrpl.core
xrpl.libxrpl.rdb
xrpl.libxrpl.resource
)
target_link_libraries(xrpl.libxrpl.server PUBLIC xrpl.libxrpl.protocol xrpl.libxrpl.core
xrpl.libxrpl.rdb xrpl.libxrpl.resource)
add_module(xrpl conditions)
target_link_libraries(xrpl.libxrpl.conditions PUBLIC xrpl.libxrpl.server)
@@ -158,29 +108,34 @@ target_link_libraries(xrpl.libxrpl.conditions PUBLIC xrpl.libxrpl.server)
add_module(xrpl ledger)
target_link_libraries(
xrpl.libxrpl.ledger
PUBLIC
xrpl.libxrpl.basics
xrpl.libxrpl.json
xrpl.libxrpl.protocol
xrpl.libxrpl.rdb
xrpl.libxrpl.server
xrpl.libxrpl.shamap
xrpl.libxrpl.conditions
)
PUBLIC xrpl.libxrpl.basics
xrpl.libxrpl.json
xrpl.libxrpl.protocol
xrpl.libxrpl.rdb
xrpl.libxrpl.server
xrpl.libxrpl.shamap
xrpl.libxrpl.conditions)
add_module(xrpl tx)
target_link_libraries(xrpl.libxrpl.tx PUBLIC xrpl.libxrpl.ledger)
# Telemetry module — OpenTelemetry distributed tracing support.
# Sources: include/xrpl/telemetry/ (headers), src/libxrpl/telemetry/ (impl).
# When telemetry=ON, links the Conan-provided umbrella target
# opentelemetry-cpp::opentelemetry-cpp (individual component targets like
# ::api, ::sdk are not available in the Conan package).
add_module(xrpl telemetry)
target_link_libraries(xrpl.libxrpl.telemetry PUBLIC xrpl.libxrpl.basics xrpl.libxrpl.beast)
if (telemetry)
target_link_libraries(xrpl.libxrpl.telemetry PUBLIC opentelemetry-cpp::opentelemetry-cpp)
endif ()
add_library(xrpl.libxrpl)
set_target_properties(xrpl.libxrpl PROPERTIES OUTPUT_NAME xrpl)
add_library(xrpl::libxrpl ALIAS xrpl.libxrpl)
file(
GLOB_RECURSE sources
CONFIGURE_DEPENDS
"${CMAKE_CURRENT_SOURCE_DIR}/src/libxrpl/*.cpp"
)
file(GLOB_RECURSE sources CONFIGURE_DEPENDS "${CMAKE_CURRENT_SOURCE_DIR}/src/libxrpl/*.cpp")
target_sources(xrpl.libxrpl PRIVATE ${sources})
target_link_modules(
@@ -191,7 +146,6 @@ target_link_modules(
conditions
core
crypto
git
json
ledger
net
@@ -201,8 +155,8 @@ target_link_modules(
resource
server
shamap
tx
)
telemetry
tx)
# All headers in libxrpl are in modules.
# Uncomment this stanza if you have not yet moved new headers into a module.
@@ -213,51 +167,34 @@ target_link_modules(
# $<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/include>
# $<INSTALL_INTERFACE:include>)
if(xrpld)
if (xrpld)
add_executable(xrpld)
if(tests)
if (tests)
target_compile_definitions(xrpld PUBLIC ENABLE_TESTS)
target_compile_definitions(
xrpld
PRIVATE UNIT_TEST_REFERENCE_FEE=${UNIT_TEST_REFERENCE_FEE}
)
endif()
target_include_directories(
xrpld
PRIVATE $<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/src>
)
target_compile_definitions(xrpld PRIVATE UNIT_TEST_REFERENCE_FEE=${UNIT_TEST_REFERENCE_FEE})
endif ()
target_include_directories(xrpld PRIVATE $<BUILD_INTERFACE:${CMAKE_CURRENT_SOURCE_DIR}/src>)
file(
GLOB_RECURSE sources
CONFIGURE_DEPENDS
"${CMAKE_CURRENT_SOURCE_DIR}/src/xrpld/*.cpp"
)
file(GLOB_RECURSE sources CONFIGURE_DEPENDS "${CMAKE_CURRENT_SOURCE_DIR}/src/xrpld/*.cpp")
target_sources(xrpld PRIVATE ${sources})
if(tests)
file(
GLOB_RECURSE sources
CONFIGURE_DEPENDS
"${CMAKE_CURRENT_SOURCE_DIR}/src/test/*.cpp"
)
if (tests)
file(GLOB_RECURSE sources CONFIGURE_DEPENDS "${CMAKE_CURRENT_SOURCE_DIR}/src/test/*.cpp")
target_sources(xrpld PRIVATE ${sources})
endif()
endif ()
target_link_libraries(xrpld Xrpl::boost Xrpl::opts Xrpl::libs xrpl.libxrpl)
exclude_if_included(xrpld)
# define a macro for tests that might need to
# be excluded or run differently in CI environment
if(is_ci)
if (is_ci)
target_compile_definitions(xrpld PRIVATE XRPL_RUNNING_IN_CI)
endif()
endif ()
if(voidstar)
if (voidstar)
target_compile_options(xrpld PRIVATE -fsanitize-coverage=trace-pc-guard)
# xrpld requires access to antithesis-sdk-cpp implementation file
# antithesis_instrumentation.h, which is not exported as INTERFACE
target_include_directories(
xrpld
PRIVATE ${CMAKE_SOURCE_DIR}/external/antithesis-sdk
)
endif()
endif()
target_include_directories(xrpld PRIVATE ${CMAKE_SOURCE_DIR}/external/antithesis-sdk)
endif ()
endif ()

View File

@@ -2,17 +2,14 @@
coverage report target
#]===================================================================]
if(NOT coverage)
if (NOT coverage)
message(FATAL_ERROR "Code coverage not enabled! Aborting ...")
endif()
endif ()
if(CMAKE_CXX_COMPILER_ID MATCHES "MSVC")
message(
WARNING
"Code coverage on Windows is not supported, ignoring 'coverage' flag"
)
if (CMAKE_CXX_COMPILER_ID MATCHES "MSVC")
message(WARNING "Code coverage on Windows is not supported, ignoring 'coverage' flag")
return()
endif()
endif ()
include(ProcessorCount)
ProcessorCount(PROCESSOR_COUNT)
@@ -24,19 +21,18 @@ include(CodeCoverage)
# `CodeCoverage.cmake`)
set(GCOVR_ADDITIONAL_ARGS ${coverage_extra_args})
if(NOT GCOVR_ADDITIONAL_ARGS STREQUAL "")
if (NOT GCOVR_ADDITIONAL_ARGS STREQUAL "")
separate_arguments(GCOVR_ADDITIONAL_ARGS)
endif()
endif ()
list(
APPEND GCOVR_ADDITIONAL_ARGS
--exclude-throw-branches
--exclude-noncode-lines
--exclude-unreachable-branches
-s
-j
${PROCESSOR_COUNT}
)
list(APPEND
GCOVR_ADDITIONAL_ARGS
--exclude-throw-branches
--exclude-noncode-lines
--exclude-unreachable-branches
-s
-j
${PROCESSOR_COUNT})
setup_target_for_coverage_gcovr(
NAME
@@ -51,7 +47,6 @@ setup_target_for_coverage_gcovr(
"${CMAKE_BINARY_DIR}/pb-xrpl.libpb"
DEPENDENCIES
xrpld
xrpl.tests
)
xrpl.tests)
add_code_coverage_to_target(opts INTERFACE)

View File

@@ -2,45 +2,44 @@
docs target (optional)
#]===================================================================]
if(NOT only_docs)
if (NOT only_docs)
return()
endif()
endif ()
find_package(Doxygen)
if(NOT TARGET Doxygen::doxygen)
if (NOT TARGET Doxygen::doxygen)
message(STATUS "doxygen executable not found -- skipping docs target")
return()
endif()
endif ()
set(doxygen_output_directory "${CMAKE_BINARY_DIR}/docs")
set(doxygen_include_path "${CMAKE_CURRENT_SOURCE_DIR}/src")
set(doxygen_index_file "${doxygen_output_directory}/html/index.html")
set(doxyfile "${CMAKE_CURRENT_SOURCE_DIR}/docs/Doxyfile")
file(
GLOB_RECURSE doxygen_input
docs/*.md
include/*.h
include/*.cpp
include/*.md
src/*.h
src/*.cpp
src/*.md
Builds/*.md
*.md
)
file(GLOB_RECURSE
doxygen_input
docs/*.md
include/*.h
include/*.cpp
include/*.md
src/*.h
src/*.cpp
src/*.md
Builds/*.md
*.md)
list(APPEND doxygen_input external/README.md)
set(dependencies "${doxygen_input}" "${doxyfile}")
function(verbose_find_path variable name)
function (verbose_find_path variable name)
# find_path sets a CACHE variable, so don't try using a "local" variable.
find_path(${variable} "${name}" ${ARGN})
if(NOT ${variable})
if (NOT ${variable})
message(NOTICE "could not find ${name}")
else()
else ()
message(STATUS "found ${name}: ${${variable}}/${name}")
endif()
endfunction()
endif ()
endfunction ()
verbose_find_path(doxygen_plantuml_jar_path plantuml.jar PATH_SUFFIXES share/plantuml)
verbose_find_path(doxygen_dot_path dot)
@@ -48,40 +47,26 @@ verbose_find_path(doxygen_dot_path dot)
# https://en.cppreference.com/w/Cppreference:Archives
# https://stackoverflow.com/questions/60822559/how-to-move-a-file-download-from-configure-step-to-build-step
set(download_script "${CMAKE_BINARY_DIR}/docs/download-cppreference.cmake")
file(
WRITE "${download_script}"
"file(DOWNLOAD \
file(WRITE "${download_script}"
"file(DOWNLOAD \
https://github.com/PeterFeicht/cppreference-doc/releases/download/v20250209/html-book-20250209.zip \
${CMAKE_BINARY_DIR}/docs/cppreference.zip \
EXPECTED_HASH MD5=bda585f72fbca4b817b29a3d5746567b \
)\n \
execute_process( \
COMMAND \"${CMAKE_COMMAND}\" -E tar -xf cppreference.zip \
)\n"
)
)\n")
set(tagfile "${CMAKE_BINARY_DIR}/docs/cppreference-doxygen-web.tag.xml")
add_custom_command(
OUTPUT "${tagfile}"
COMMAND "${CMAKE_COMMAND}" -P "${download_script}"
WORKING_DIRECTORY "${CMAKE_BINARY_DIR}/docs"
)
add_custom_command(OUTPUT "${tagfile}" COMMAND "${CMAKE_COMMAND}" -P "${download_script}"
WORKING_DIRECTORY "${CMAKE_BINARY_DIR}/docs")
set(doxygen_tagfiles "${tagfile}=http://en.cppreference.com/w/")
add_custom_command(
OUTPUT "${doxygen_index_file}"
COMMAND
"${CMAKE_COMMAND}" -E env
"DOXYGEN_OUTPUT_DIRECTORY=${doxygen_output_directory}"
"DOXYGEN_INCLUDE_PATH=${doxygen_include_path}"
"DOXYGEN_TAGFILES=${doxygen_tagfiles}"
"DOXYGEN_PLANTUML_JAR_PATH=${doxygen_plantuml_jar_path}"
"DOXYGEN_DOT_PATH=${doxygen_dot_path}" "${DOXYGEN_EXECUTABLE}"
"${doxyfile}"
COMMAND "${CMAKE_COMMAND}" -E env "DOXYGEN_OUTPUT_DIRECTORY=${doxygen_output_directory}"
"DOXYGEN_INCLUDE_PATH=${doxygen_include_path}" "DOXYGEN_TAGFILES=${doxygen_tagfiles}"
"DOXYGEN_PLANTUML_JAR_PATH=${doxygen_plantuml_jar_path}"
"DOXYGEN_DOT_PATH=${doxygen_dot_path}" "${DOXYGEN_EXECUTABLE}" "${doxyfile}"
WORKING_DIRECTORY "${CMAKE_CURRENT_SOURCE_DIR}"
DEPENDS "${dependencies}" "${tagfile}"
)
add_custom_target(
docs
DEPENDS "${doxygen_index_file}"
SOURCES "${dependencies}"
)
DEPENDS "${dependencies}" "${tagfile}")
add_custom_target(docs DEPENDS "${doxygen_index_file}" SOURCES "${dependencies}")

View File

@@ -6,71 +6,57 @@ include(create_symbolic_link)
# If no suffix is defined for executables (e.g. Windows uses .exe but Linux
# and macOS use none), then explicitly set it to the empty string.
if(NOT DEFINED suffix)
if (NOT DEFINED suffix)
set(suffix "")
endif()
endif ()
install(
TARGETS
common
opts
xrpl_boost
xrpl_libs
xrpl_syslibs
xrpl.imports.main
xrpl.libpb
xrpl.libxrpl
xrpl.libxrpl.basics
xrpl.libxrpl.beast
xrpl.libxrpl.conditions
xrpl.libxrpl.core
xrpl.libxrpl.crypto
xrpl.libxrpl.git
xrpl.libxrpl.json
xrpl.libxrpl.rdb
xrpl.libxrpl.ledger
xrpl.libxrpl.net
xrpl.libxrpl.nodestore
xrpl.libxrpl.protocol
xrpl.libxrpl.resource
xrpl.libxrpl.server
xrpl.libxrpl.shamap
xrpl.libxrpl.tx
antithesis-sdk-cpp
EXPORT XrplExports
LIBRARY DESTINATION lib
ARCHIVE DESTINATION lib
RUNTIME DESTINATION bin
INCLUDES DESTINATION include
)
install(TARGETS common
opts
xrpl_boost
xrpl_libs
xrpl_syslibs
xrpl.imports.main
xrpl.libpb
xrpl.libxrpl
xrpl.libxrpl.basics
xrpl.libxrpl.beast
xrpl.libxrpl.conditions
xrpl.libxrpl.core
xrpl.libxrpl.crypto
xrpl.libxrpl.json
xrpl.libxrpl.rdb
xrpl.libxrpl.ledger
xrpl.libxrpl.net
xrpl.libxrpl.nodestore
xrpl.libxrpl.protocol
xrpl.libxrpl.resource
xrpl.libxrpl.server
xrpl.libxrpl.shamap
xrpl.libxrpl.telemetry
xrpl.libxrpl.tx
antithesis-sdk-cpp
EXPORT XrplExports
LIBRARY DESTINATION lib
ARCHIVE DESTINATION lib
RUNTIME DESTINATION bin
INCLUDES
DESTINATION include)
install(
DIRECTORY "${CMAKE_CURRENT_SOURCE_DIR}/include/xrpl"
DESTINATION "${CMAKE_INSTALL_INCLUDEDIR}"
)
install(DIRECTORY "${CMAKE_CURRENT_SOURCE_DIR}/include/xrpl"
DESTINATION "${CMAKE_INSTALL_INCLUDEDIR}")
install(
EXPORT XrplExports
FILE XrplTargets.cmake
NAMESPACE Xrpl::
DESTINATION lib/cmake/xrpl
)
install(EXPORT XrplExports FILE XrplTargets.cmake NAMESPACE Xrpl:: DESTINATION lib/cmake/xrpl)
include(CMakePackageConfigHelpers)
write_basic_package_version_file(
XrplConfigVersion.cmake
VERSION ${xrpld_version}
COMPATIBILITY SameMajorVersion
)
write_basic_package_version_file(XrplConfigVersion.cmake VERSION ${xrpld_version}
COMPATIBILITY SameMajorVersion)
if(is_root_project AND TARGET xrpld)
if (is_root_project AND TARGET xrpld)
install(TARGETS xrpld RUNTIME DESTINATION bin)
set_target_properties(xrpld PROPERTIES INSTALL_RPATH_USE_LINK_PATH ON)
# sample configs should not overwrite existing files
# install if-not-exists workaround as suggested by
# https://cmake.org/Bug/view.php?id=12646
install(
CODE
"
install(CODE "
macro (copy_if_not_exists SRC DEST NEWNAME)
if (NOT EXISTS \"\$ENV{DESTDIR}\${CMAKE_INSTALL_PREFIX}/\${DEST}/\${NEWNAME}\")
file (INSTALL FILE_PERMISSIONS OWNER_READ OWNER_WRITE DESTINATION \"\${CMAKE_INSTALL_PREFIX}/\${DEST}\" FILES \"\${SRC}\" RENAME \"\${NEWNAME}\")
@@ -80,22 +66,14 @@ if(is_root_project AND TARGET xrpld)
endmacro()
copy_if_not_exists(\"${CMAKE_CURRENT_SOURCE_DIR}/cfg/xrpld-example.cfg\" etc xrpld.cfg)
copy_if_not_exists(\"${CMAKE_CURRENT_SOURCE_DIR}/cfg/validators-example.txt\" etc validators.txt)
"
)
install(
CODE
"
")
install(CODE "
set(CMAKE_MODULE_PATH \"${CMAKE_MODULE_PATH}\")
include(create_symbolic_link)
create_symbolic_link(xrpld${suffix} \
\$ENV{DESTDIR}\${CMAKE_INSTALL_PREFIX}/${CMAKE_INSTALL_BINDIR}/rippled${suffix})
"
)
endif()
")
endif ()
install(
FILES
${CMAKE_CURRENT_SOURCE_DIR}/cmake/XrplConfig.cmake
${CMAKE_CURRENT_BINARY_DIR}/XrplConfigVersion.cmake
DESTINATION lib/cmake/xrpl
)
install(FILES ${CMAKE_CURRENT_SOURCE_DIR}/cmake/XrplConfig.cmake
${CMAKE_CURRENT_BINARY_DIR}/XrplConfigVersion.cmake DESTINATION lib/cmake/xrpl)

View File

@@ -5,55 +5,47 @@
include(CompilationEnv)
# Set defaults for optional variables to avoid uninitialized variable warnings
if(NOT DEFINED voidstar)
if (NOT DEFINED voidstar)
set(voidstar OFF)
endif()
endif ()
add_library(opts INTERFACE)
add_library(Xrpl::opts ALIAS opts)
target_compile_definitions(
opts
INTERFACE
BOOST_ASIO_DISABLE_HANDLER_TYPE_REQUIREMENTS
BOOST_ASIO_USE_TS_EXECUTOR_AS_DEFAULT
BOOST_CONTAINER_FWD_BAD_DEQUE
HAS_UNCAUGHT_EXCEPTIONS=1
$<$<BOOL:${boost_show_deprecated}>:
BOOST_ASIO_NO_DEPRECATED
BOOST_FILESYSTEM_NO_DEPRECATED
>
$<$<NOT:$<BOOL:${boost_show_deprecated}>>:
BOOST_COROUTINES_NO_DEPRECATION_WARNING
BOOST_BEAST_ALLOW_DEPRECATED
BOOST_FILESYSTEM_DEPRECATED
>
$<$<BOOL:${beast_no_unit_test_inline}>:BEAST_NO_UNIT_TEST_INLINE=1>
$<$<BOOL:${beast_disable_autolink}>:BEAST_DONT_AUTOLINK_TO_WIN32_LIBRARIES=1>
$<$<BOOL:${single_io_service_thread}>:XRPL_SINGLE_IO_SERVICE_THREAD=1>
$<$<BOOL:${voidstar}>:ENABLE_VOIDSTAR>
)
INTERFACE BOOST_ASIO_DISABLE_HANDLER_TYPE_REQUIREMENTS
BOOST_ASIO_USE_TS_EXECUTOR_AS_DEFAULT
BOOST_CONTAINER_FWD_BAD_DEQUE
HAS_UNCAUGHT_EXCEPTIONS=1
$<$<BOOL:${boost_show_deprecated}>:
BOOST_ASIO_NO_DEPRECATED
BOOST_FILESYSTEM_NO_DEPRECATED
>
$<$<NOT:$<BOOL:${boost_show_deprecated}>>:
BOOST_COROUTINES_NO_DEPRECATION_WARNING
BOOST_BEAST_ALLOW_DEPRECATED
BOOST_FILESYSTEM_DEPRECATED
>
$<$<BOOL:${beast_no_unit_test_inline}>:BEAST_NO_UNIT_TEST_INLINE=1>
$<$<BOOL:${beast_disable_autolink}>:BEAST_DONT_AUTOLINK_TO_WIN32_LIBRARIES=1>
$<$<BOOL:${single_io_service_thread}>:XRPL_SINGLE_IO_SERVICE_THREAD=1>
$<$<BOOL:${voidstar}>:ENABLE_VOIDSTAR>)
target_compile_options(
opts
INTERFACE
$<$<AND:$<BOOL:${is_gcc}>,$<COMPILE_LANGUAGE:CXX>>:-Wsuggest-override>
$<$<BOOL:${is_gcc}>:-Wno-maybe-uninitialized>
$<$<BOOL:${perf}>:-fno-omit-frame-pointer>
$<$<BOOL:${profile}>:-pg>
$<$<AND:$<BOOL:${is_gcc}>,$<BOOL:${profile}>>:-p>
)
INTERFACE $<$<AND:$<BOOL:${is_gcc}>,$<COMPILE_LANGUAGE:CXX>>:-Wsuggest-override>
$<$<BOOL:${is_gcc}>:-Wno-maybe-uninitialized>
$<$<BOOL:${perf}>:-fno-omit-frame-pointer>
$<$<BOOL:${profile}>:-pg>
$<$<AND:$<BOOL:${is_gcc}>,$<BOOL:${profile}>>:-p>)
target_link_libraries(
opts
INTERFACE
$<$<BOOL:${profile}>:-pg>
$<$<AND:$<BOOL:${is_gcc}>,$<BOOL:${profile}>>:-p>
)
target_link_libraries(opts INTERFACE $<$<BOOL:${profile}>:-pg>
$<$<AND:$<BOOL:${is_gcc}>,$<BOOL:${profile}>>:-p>)
if(jemalloc)
if (jemalloc)
find_package(jemalloc REQUIRED)
target_compile_definitions(opts INTERFACE PROFILE_JEMALLOC)
target_link_libraries(opts INTERFACE jemalloc::jemalloc)
endif()
endif ()
#[===================================================================[
xrpld transitive library deps via an interface library
@@ -63,33 +55,31 @@ add_library(xrpl_syslibs INTERFACE)
add_library(Xrpl::syslibs ALIAS xrpl_syslibs)
target_link_libraries(
xrpl_syslibs
INTERFACE
$<$<BOOL:${is_msvc}>:
legacy_stdio_definitions.lib
Shlwapi
kernel32
user32
gdi32
winspool
comdlg32
advapi32
shell32
ole32
oleaut32
uuid
odbc32
odbccp32
crypt32
>
$<$<NOT:$<BOOL:${is_msvc}>>:dl>
$<$<NOT:$<OR:$<BOOL:${is_msvc}>,$<BOOL:${is_macos}>>>:rt>
)
INTERFACE $<$<BOOL:${is_msvc}>:
legacy_stdio_definitions.lib
Shlwapi
kernel32
user32
gdi32
winspool
comdlg32
advapi32
shell32
ole32
oleaut32
uuid
odbc32
odbccp32
crypt32
>
$<$<NOT:$<BOOL:${is_msvc}>>:dl>
$<$<NOT:$<OR:$<BOOL:${is_msvc}>,$<BOOL:${is_macos}>>>:rt>)
if(NOT is_msvc)
if (NOT is_msvc)
set(THREADS_PREFER_PTHREAD_FLAG ON)
find_package(Threads)
target_link_libraries(xrpl_syslibs INTERFACE Threads::Threads)
endif()
endif ()
add_library(xrpl_libs INTERFACE)
add_library(Xrpl::libs ALIAS xrpl_libs)

View File

@@ -44,26 +44,23 @@ include(CompilationEnv)
# Read environment variable
set(SANITIZERS "")
if(DEFINED ENV{SANITIZERS})
if (DEFINED ENV{SANITIZERS})
set(SANITIZERS "$ENV{SANITIZERS}")
endif()
endif ()
# Set SANITIZERS_ENABLED flag for use in other modules
if(SANITIZERS MATCHES "address|thread|undefinedbehavior")
if (SANITIZERS MATCHES "address|thread|undefinedbehavior")
set(SANITIZERS_ENABLED TRUE)
else()
else ()
set(SANITIZERS_ENABLED FALSE)
return()
endif()
endif ()
# Sanitizers are not supported on Windows/MSVC
if(is_msvc)
message(
FATAL_ERROR
"Sanitizers are not supported on Windows/MSVC. "
"Please unset the SANITIZERS environment variable."
)
endif()
if (is_msvc)
message(FATAL_ERROR "Sanitizers are not supported on Windows/MSVC. "
"Please unset the SANITIZERS environment variable.")
endif ()
message(STATUS "Configuring sanitizers: ${SANITIZERS}")
@@ -77,30 +74,24 @@ set(san_list "${SANITIZERS}")
string(REPLACE "," ";" san_list "${san_list}")
separate_arguments(san_list)
foreach(san IN LISTS san_list)
if(san STREQUAL "address")
foreach (san IN LISTS san_list)
if (san STREQUAL "address")
set(enable_asan TRUE)
elseif(san STREQUAL "thread")
elseif (san STREQUAL "thread")
set(enable_tsan TRUE)
elseif(san STREQUAL "undefinedbehavior")
elseif (san STREQUAL "undefinedbehavior")
set(enable_ubsan TRUE)
else()
message(
FATAL_ERROR
"Unsupported sanitizer type: ${san}"
"Supported: address, thread, undefinedbehavior and their combinations."
)
endif()
endforeach()
else ()
message(FATAL_ERROR "Unsupported sanitizer type: ${san}"
"Supported: address, thread, undefinedbehavior and their combinations.")
endif ()
endforeach ()
# Validate sanitizer compatibility
if(enable_asan AND enable_tsan)
message(
FATAL_ERROR
"AddressSanitizer and ThreadSanitizer are incompatible and cannot be enabled simultaneously. "
"Use 'address' or 'thread', optionally with 'undefinedbehavior'."
)
endif()
if (enable_asan AND enable_tsan)
message(FATAL_ERROR "AddressSanitizer and ThreadSanitizer are incompatible and cannot be enabled simultaneously. "
"Use 'address' or 'thread', optionally with 'undefinedbehavior'.")
endif ()
# Frame pointer is required for meaningful stack traces. Sanitizers recommend minimum of -O1 for reasonable performance
set(SANITIZERS_COMPILE_FLAGS "-fno-omit-frame-pointer" "-O1")
@@ -108,79 +99,66 @@ set(SANITIZERS_COMPILE_FLAGS "-fno-omit-frame-pointer" "-O1")
# Build the sanitizer flags list
set(SANITIZER_TYPES)
if(enable_asan)
if (enable_asan)
list(APPEND SANITIZER_TYPES "address")
elseif(enable_tsan)
elseif (enable_tsan)
list(APPEND SANITIZER_TYPES "thread")
endif()
endif ()
if(enable_ubsan)
if (enable_ubsan)
# UB sanitizer flags
list(APPEND SANITIZER_TYPES "undefined" "float-divide-by-zero")
if(is_clang)
if (is_clang)
# Clang supports additional UB checks. More info here
# https://clang.llvm.org/docs/UndefinedBehaviorSanitizer.html
list(APPEND SANITIZER_TYPES "unsigned-integer-overflow")
endif()
endif()
endif ()
endif ()
# Configure code model for GCC on amd64 Use large code model for ASAN to avoid relocation errors Use medium code model
# for TSAN (large is not compatible with TSAN)
set(SANITIZERS_RELOCATION_FLAGS)
# Compiler-specific configuration
if(is_gcc)
if (is_gcc)
# Disable mold, gold and lld linkers for GCC with sanitizers Use default linker (bfd/ld) which is more lenient with
# mixed code models This is needed since the size of instrumented binary exceeds the limits set by mold, lld and
# gold linkers
set(use_mold OFF CACHE BOOL "Use mold linker" FORCE)
set(use_gold OFF CACHE BOOL "Use gold linker" FORCE)
set(use_lld OFF CACHE BOOL "Use lld linker" FORCE)
message(
STATUS
" Disabled mold, gold, and lld linkers for GCC with sanitizers"
)
message(STATUS " Disabled mold, gold, and lld linkers for GCC with sanitizers")
# Suppress false positive warnings in GCC with stringop-overflow
list(APPEND SANITIZERS_COMPILE_FLAGS "-Wno-stringop-overflow")
if(is_amd64 AND enable_asan)
if (is_amd64 AND enable_asan)
message(STATUS " Using large code model (-mcmodel=large)")
list(APPEND SANITIZERS_COMPILE_FLAGS "-mcmodel=large")
list(APPEND SANITIZERS_RELOCATION_FLAGS "-mcmodel=large")
elseif(enable_tsan)
elseif (enable_tsan)
# GCC doesn't support atomic_thread_fence with tsan. Suppress warnings.
list(APPEND SANITIZERS_COMPILE_FLAGS "-Wno-tsan")
message(STATUS " Using medium code model (-mcmodel=medium)")
list(APPEND SANITIZERS_COMPILE_FLAGS "-mcmodel=medium")
list(APPEND SANITIZERS_RELOCATION_FLAGS "-mcmodel=medium")
endif()
endif ()
# Join sanitizer flags with commas for -fsanitize option
list(JOIN SANITIZER_TYPES "," SANITIZER_TYPES_STR)
# Add sanitizer to compile and link flags
list(APPEND SANITIZERS_COMPILE_FLAGS "-fsanitize=${SANITIZER_TYPES_STR}")
set(SANITIZERS_LINK_FLAGS
"${SANITIZERS_RELOCATION_FLAGS}"
"-fsanitize=${SANITIZER_TYPES_STR}"
)
elseif(is_clang)
# Add ignorelist for Clang (GCC doesn't support this) Use CMAKE_SOURCE_DIR to get the path to the ignorelist
set(IGNORELIST_PATH
"${CMAKE_SOURCE_DIR}/sanitizers/suppressions/sanitizer-ignorelist.txt"
)
if(NOT EXISTS "${IGNORELIST_PATH}")
message(
FATAL_ERROR
"Sanitizer ignorelist not found: ${IGNORELIST_PATH}"
)
endif()
set(SANITIZERS_LINK_FLAGS "${SANITIZERS_RELOCATION_FLAGS}" "-fsanitize=${SANITIZER_TYPES_STR}")
list(
APPEND SANITIZERS_COMPILE_FLAGS
"-fsanitize-ignorelist=${IGNORELIST_PATH}"
)
elseif (is_clang)
# Add ignorelist for Clang (GCC doesn't support this) Use CMAKE_SOURCE_DIR to get the path to the ignorelist
set(IGNORELIST_PATH "${CMAKE_SOURCE_DIR}/sanitizers/suppressions/sanitizer-ignorelist.txt")
if (NOT EXISTS "${IGNORELIST_PATH}")
message(FATAL_ERROR "Sanitizer ignorelist not found: ${IGNORELIST_PATH}")
endif ()
list(APPEND SANITIZERS_COMPILE_FLAGS "-fsanitize-ignorelist=${IGNORELIST_PATH}")
message(STATUS " Using sanitizer ignorelist: ${IGNORELIST_PATH}")
# Join sanitizer flags with commas for -fsanitize option
@@ -189,35 +167,31 @@ elseif(is_clang)
# Add sanitizer to compile and link flags
list(APPEND SANITIZERS_COMPILE_FLAGS "-fsanitize=${SANITIZER_TYPES_STR}")
set(SANITIZERS_LINK_FLAGS "-fsanitize=${SANITIZER_TYPES_STR}")
endif()
endif ()
message(STATUS " Compile flags: ${SANITIZERS_COMPILE_FLAGS}")
message(STATUS " Link flags: ${SANITIZERS_LINK_FLAGS}")
# Apply the sanitizer flags to the 'common' interface library This is the same library used by XrplCompiler.cmake
target_compile_options(
common
INTERFACE
$<$<COMPILE_LANGUAGE:CXX>:${SANITIZERS_COMPILE_FLAGS}>
$<$<COMPILE_LANGUAGE:C>:${SANITIZERS_COMPILE_FLAGS}>
)
target_compile_options(common INTERFACE $<$<COMPILE_LANGUAGE:CXX>:${SANITIZERS_COMPILE_FLAGS}>
$<$<COMPILE_LANGUAGE:C>:${SANITIZERS_COMPILE_FLAGS}>)
# Apply linker flags
target_link_options(common INTERFACE ${SANITIZERS_LINK_FLAGS})
# Define SANITIZERS macro for BuildInfo.cpp
set(sanitizers_list)
if(enable_asan)
if (enable_asan)
list(APPEND sanitizers_list "ASAN")
endif()
if(enable_tsan)
endif ()
if (enable_tsan)
list(APPEND sanitizers_list "TSAN")
endif()
if(enable_ubsan)
endif ()
if (enable_ubsan)
list(APPEND sanitizers_list "UBSAN")
endif()
endif ()
if(sanitizers_list)
if (sanitizers_list)
list(JOIN sanitizers_list "." sanitizers_str)
target_compile_definitions(common INTERFACE SANITIZERS=${sanitizers_str})
endif()
endif ()

View File

@@ -7,49 +7,40 @@ include(CompilationEnv)
get_property(is_multiconfig GLOBAL PROPERTY GENERATOR_IS_MULTI_CONFIG)
set(CMAKE_CONFIGURATION_TYPES "Debug;Release" CACHE STRING "" FORCE)
if(NOT is_multiconfig)
if(NOT CMAKE_BUILD_TYPE)
if (NOT is_multiconfig)
if (NOT CMAKE_BUILD_TYPE)
message(STATUS "Build type not specified - defaulting to Release")
set(CMAKE_BUILD_TYPE Release CACHE STRING "build type" FORCE)
elseif(
NOT (CMAKE_BUILD_TYPE STREQUAL Debug OR CMAKE_BUILD_TYPE STREQUAL Release)
)
elseif (NOT (CMAKE_BUILD_TYPE STREQUAL Debug OR CMAKE_BUILD_TYPE STREQUAL Release))
# for simplicity, these are the only two config types we care about. Limiting the build types simplifies dealing
# with external project builds especially
message(
FATAL_ERROR
" *** Only Debug or Release build types are currently supported ***"
)
endif()
endif()
message(FATAL_ERROR " *** Only Debug or Release build types are currently supported ***")
endif ()
endif ()
if(is_clang) # both Clang and AppleClang
if(
"${CMAKE_CXX_COMPILER_ID}" STREQUAL "Clang"
AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS 16.0
)
if (is_clang) # both Clang and AppleClang
if ("${CMAKE_CXX_COMPILER_ID}" STREQUAL "Clang" AND CMAKE_CXX_COMPILER_VERSION VERSION_LESS
16.0)
message(FATAL_ERROR "This project requires clang 16 or later")
endif()
elseif(is_gcc)
if(CMAKE_CXX_COMPILER_VERSION VERSION_LESS 12.0)
endif ()
elseif (is_gcc)
if (CMAKE_CXX_COMPILER_VERSION VERSION_LESS 12.0)
message(FATAL_ERROR "This project requires GCC 12 or later")
endif()
endif()
endif ()
endif ()
# check for in-source build and fail
if("${CMAKE_CURRENT_SOURCE_DIR}" STREQUAL "${CMAKE_BINARY_DIR}")
message(
FATAL_ERROR
"Builds (in-source) are not allowed in "
"${CMAKE_CURRENT_SOURCE_DIR}. Please remove CMakeCache.txt and the CMakeFiles "
"directory from ${CMAKE_CURRENT_SOURCE_DIR} and try building in a separate directory."
if ("${CMAKE_CURRENT_SOURCE_DIR}" STREQUAL "${CMAKE_BINARY_DIR}")
message(FATAL_ERROR "Builds (in-source) are not allowed in "
"${CMAKE_CURRENT_SOURCE_DIR}. Please remove CMakeCache.txt and the CMakeFiles "
"directory from ${CMAKE_CURRENT_SOURCE_DIR} and try building in a separate directory."
)
endif()
endif ()
if(MSVC AND CMAKE_GENERATOR_PLATFORM STREQUAL "Win32")
if (MSVC AND CMAKE_GENERATOR_PLATFORM STREQUAL "Win32")
message(FATAL_ERROR "Visual Studio 32-bit build is not supported.")
endif()
endif ()
if(APPLE AND NOT HOMEBREW)
if (APPLE AND NOT HOMEBREW)
find_program(HOMEBREW brew)
endif()
endif ()

View File

@@ -5,67 +5,59 @@
include(CompilationEnv)
set(is_ci FALSE)
if(DEFINED ENV{CI})
if("$ENV{CI}" STREQUAL "true")
if (DEFINED ENV{CI})
if ("$ENV{CI}" STREQUAL "true")
set(is_ci TRUE)
endif()
endif()
endif ()
endif ()
get_directory_property(has_parent PARENT_DIRECTORY)
if(has_parent)
if (has_parent)
set(is_root_project OFF)
else()
else ()
set(is_root_project ON)
endif()
endif ()
option(assert "Enables asserts, even in release builds" OFF)
option(xrpld "Build xrpld" ON)
option(tests "Build tests" ON)
if(tests)
if (tests)
# This setting allows making a separate workflow to test fees other than default 10
if(NOT UNIT_TEST_REFERENCE_FEE)
if (NOT UNIT_TEST_REFERENCE_FEE)
set(UNIT_TEST_REFERENCE_FEE "10" CACHE STRING "")
endif()
endif()
endif ()
endif ()
option(unity "Creates a build using UNITY support in cmake." OFF)
if(unity)
if(NOT is_ci)
if (unity)
if (NOT is_ci)
set(CMAKE_UNITY_BUILD_BATCH_SIZE 15 CACHE STRING "")
endif()
endif ()
set(CMAKE_UNITY_BUILD ON CACHE BOOL "Do a unity build")
endif()
endif ()
if(is_clang AND is_linux)
if (is_clang AND is_linux)
option(voidstar "Enable Antithesis instrumentation." OFF)
endif()
endif ()
if(is_gcc OR is_clang)
if (is_gcc OR is_clang)
include(ProcessorCount)
ProcessorCount(PROCESSOR_COUNT)
option(coverage "Generates coverage info." OFF)
option(profile "Add profiling flags" OFF)
set(coverage_format
"html-details"
CACHE STRING
"Output format of the coverage report."
)
set(coverage_extra_args
""
CACHE STRING
"Additional arguments to pass to gcovr."
)
set(coverage_format "html-details" CACHE STRING "Output format of the coverage report.")
set(coverage_extra_args "" CACHE STRING "Additional arguments to pass to gcovr.")
option(wextra "compile with extra gcc/clang warnings enabled" ON)
else()
else ()
set(profile OFF CACHE BOOL "gcc/clang only" FORCE)
set(coverage OFF CACHE BOOL "gcc/clang only" FORCE)
set(wextra OFF CACHE BOOL "gcc/clang only" FORCE)
endif()
endif ()
if(is_linux AND NOT SANITIZER)
if (is_linux AND NOT SANITIZER)
option(BUILD_SHARED_LIBS "build shared xrpl libraries" OFF)
option(static "link protobuf, openssl, libc++, and boost statically" ON)
option(perf "Enables flags that assist with perf recording" OFF)
@@ -73,83 +65,53 @@ if(is_linux AND NOT SANITIZER)
option(use_mold "enables detection of mold (binutils) linker" ON)
# Set a default value for the log flag based on the build type. This provides a sensible default (on for debug, off
# for release) while still allowing the user to override it for any build.
if(CMAKE_BUILD_TYPE STREQUAL "Debug")
if (CMAKE_BUILD_TYPE STREQUAL "Debug")
set(TRUNCATED_LOGS_DEFAULT ON)
else()
else ()
set(TRUNCATED_LOGS_DEFAULT OFF)
endif()
option(
TRUNCATED_THREAD_NAME_LOGS
"Show warnings about truncated thread names on Linux."
${TRUNCATED_LOGS_DEFAULT}
)
if(TRUNCATED_THREAD_NAME_LOGS)
endif ()
option(TRUNCATED_THREAD_NAME_LOGS "Show warnings about truncated thread names on Linux."
${TRUNCATED_LOGS_DEFAULT})
if (TRUNCATED_THREAD_NAME_LOGS)
add_compile_definitions(TRUNCATED_THREAD_NAME_LOGS)
endif()
else()
endif ()
else ()
# we are not ready to allow shared-libs on windows because it would require export declarations. On macos it's more
# feasible, but static openssl produces odd linker errors, thus we disable shared lib builds for now.
set(BUILD_SHARED_LIBS
OFF
CACHE BOOL
"build shared xrpl libraries - OFF for win/macos"
FORCE
)
set(BUILD_SHARED_LIBS OFF CACHE BOOL "build shared xrpl libraries - OFF for win/macos" FORCE)
set(static ON CACHE BOOL "static link, linux only. ON for WIN/macos" FORCE)
set(perf OFF CACHE BOOL "perf flags, linux only" FORCE)
set(use_gold OFF CACHE BOOL "gold linker, linux only" FORCE)
set(use_mold OFF CACHE BOOL "mold linker, linux only" FORCE)
endif()
endif ()
if(is_clang)
if (is_clang)
option(use_lld "enables detection of lld linker" ON)
else()
else ()
set(use_lld OFF CACHE BOOL "try lld linker, clang only" FORCE)
endif()
endif ()
option(jemalloc "Enables jemalloc for heap profiling" OFF)
option(werr "treat warnings as errors" OFF)
option(
local_protobuf
"Force a local build of protobuf instead of looking for an installed version."
OFF
)
option(
local_grpc
"Force a local build of gRPC instead of looking for an installed version."
OFF
)
option(local_protobuf
"Force a local build of protobuf instead of looking for an installed version." OFF)
option(local_grpc "Force a local build of gRPC instead of looking for an installed version." OFF)
# the remaining options are obscure and rarely used
option(
beast_no_unit_test_inline
"Prevents unit test definitions from being inserted into global table"
OFF
)
option(
single_io_service_thread
"Restricts the number of threads calling io_context::run to one. \
This can be useful when debugging."
OFF
)
option(
boost_show_deprecated
"Allow boost to fail on deprecated usage. Only useful if you're trying\
to find deprecated calls."
OFF
)
option(beast_no_unit_test_inline
"Prevents unit test definitions from being inserted into global table" OFF)
option(single_io_service_thread "Restricts the number of threads calling io_context::run to one. \
This can be useful when debugging." OFF)
option(boost_show_deprecated "Allow boost to fail on deprecated usage. Only useful if you're trying\
to find deprecated calls." OFF)
if(WIN32)
option(
beast_disable_autolink
"Disables autolinking of system libraries on WIN32"
OFF
)
else()
if (WIN32)
option(beast_disable_autolink "Disables autolinking of system libraries on WIN32" OFF)
else ()
set(beast_disable_autolink OFF CACHE BOOL "WIN32 only" FORCE)
endif()
endif ()
if(coverage)
if (coverage)
message(STATUS "coverage build requested - forcing Debug build")
set(CMAKE_BUILD_TYPE Debug CACHE STRING "build type" FORCE)
endif()
endif ()

View File

@@ -1,26 +1,20 @@
option(
validator_keys
"Enables building of validator-keys tool as a separate target (imported via FetchContent)"
OFF
)
option(validator_keys
"Enables building of validator-keys tool as a separate target (imported via FetchContent)"
OFF)
if(validator_keys)
if (validator_keys)
git_branch(current_branch)
# default to tracking VK master branch unless we are on release
if(NOT (current_branch STREQUAL "release"))
if (NOT (current_branch STREQUAL "release"))
set(current_branch "master")
endif()
endif ()
message(STATUS "Tracking ValidatorKeys branch: ${current_branch}")
FetchContent_Declare(
validator_keys
GIT_REPOSITORY https://github.com/ripple/validator-keys-tool.git
GIT_TAG "${current_branch}"
)
validator_keys GIT_REPOSITORY https://github.com/ripple/validator-keys-tool.git
GIT_TAG "${current_branch}")
FetchContent_MakeAvailable(validator_keys)
set_target_properties(
validator-keys
PROPERTIES RUNTIME_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}"
)
set_target_properties(validator-keys PROPERTIES RUNTIME_OUTPUT_DIRECTORY "${CMAKE_BINARY_DIR}")
install(TARGETS validator-keys RUNTIME DESTINATION ${CMAKE_INSTALL_BINDIR})
endif()
endif ()

View File

@@ -3,13 +3,13 @@
#]===================================================================]
file(STRINGS src/libxrpl/protocol/BuildInfo.cpp BUILD_INFO)
foreach(line_ ${BUILD_INFO})
if(line_ MATCHES "versionString[ ]*=[ ]*\"(.+)\"")
foreach (line_ ${BUILD_INFO})
if (line_ MATCHES "versionString[ ]*=[ ]*\"(.+)\"")
set(xrpld_version ${CMAKE_MATCH_1})
endif()
endforeach()
if(xrpld_version)
endif ()
endforeach ()
if (xrpld_version)
message(STATUS "xrpld version: ${xrpld_version}")
else()
else ()
message(FATAL_ERROR "unable to determine xrpld version")
endif()
endif ()

View File

@@ -12,23 +12,15 @@ include(isolate_headers)
# add_module(parent a)
# add_module(parent b)
# target_link_libraries(project.libparent.b PUBLIC project.libparent.a)
function(add_module parent name)
function (add_module parent name)
set(target ${PROJECT_NAME}.lib${parent}.${name})
add_library(${target} OBJECT)
file(
GLOB_RECURSE sources
CONFIGURE_DEPENDS
"${CMAKE_CURRENT_SOURCE_DIR}/src/lib${parent}/${name}/*.cpp"
)
file(GLOB_RECURSE sources CONFIGURE_DEPENDS
"${CMAKE_CURRENT_SOURCE_DIR}/src/lib${parent}/${name}/*.cpp")
target_sources(${target} PRIVATE ${sources})
target_include_directories(
${target}
PUBLIC "$<INSTALL_INTERFACE:${CMAKE_INSTALL_INCLUDEDIR}>"
)
target_include_directories(${target} PUBLIC "$<INSTALL_INTERFACE:${CMAKE_INSTALL_INCLUDEDIR}>")
isolate_headers(${target} "${CMAKE_CURRENT_SOURCE_DIR}/include"
"${CMAKE_CURRENT_SOURCE_DIR}/include/${parent}/${name}" PUBLIC
)
"${CMAKE_CURRENT_SOURCE_DIR}/include/${parent}/${name}" PUBLIC)
isolate_headers(${target} "${CMAKE_CURRENT_SOURCE_DIR}/src"
"${CMAKE_CURRENT_SOURCE_DIR}/src/lib${parent}/${name}" PRIVATE
)
endfunction()
"${CMAKE_CURRENT_SOURCE_DIR}/src/lib${parent}/${name}" PRIVATE)
endfunction ()

View File

@@ -1,21 +1,19 @@
# file(CREATE_SYMLINK) only works on Windows with administrator privileges. https://stackoverflow.com/a/61244115/618906
function(create_symbolic_link target link)
if(WIN32)
if(NOT IS_SYMLINK "${link}")
if(NOT IS_ABSOLUTE "${target}")
function (create_symbolic_link target link)
if (WIN32)
if (NOT IS_SYMLINK "${link}")
if (NOT IS_ABSOLUTE "${target}")
# Relative links work do not work on Windows.
set(target "${link}/../${target}")
endif()
endif ()
file(TO_NATIVE_PATH "${target}" target)
file(TO_NATIVE_PATH "${link}" link)
execute_process(
COMMAND cmd.exe /c mklink /J "${link}" "${target}"
)
endif()
else()
execute_process(COMMAND cmd.exe /c mklink /J "${link}" "${target}")
endif ()
else ()
file(CREATE_LINK "${target}" "${link}" SYMBOLIC)
endif()
if(NOT IS_SYMLINK "${link}")
endif ()
if (NOT IS_SYMLINK "${link}")
message(ERROR "failed to create symlink: <${link}>")
endif()
endfunction()
endif ()
endfunction ()

View File

@@ -1,60 +1,45 @@
include(CompilationEnv)
include(XrplSanitizers)
find_package(
Boost
REQUIRED
COMPONENTS
chrono
container
coroutine
date_time
filesystem
json
program_options
regex
system
thread
)
find_package(Boost REQUIRED
COMPONENTS chrono
container
coroutine
date_time
filesystem
json
program_options
regex
system
thread)
add_library(xrpl_boost INTERFACE)
add_library(Xrpl::boost ALIAS xrpl_boost)
target_link_libraries(
xrpl_boost
INTERFACE
Boost::headers
Boost::chrono
Boost::container
Boost::coroutine
Boost::date_time
Boost::filesystem
Boost::json
Boost::process
Boost::program_options
Boost::regex
Boost::thread
)
if(Boost_COMPILER)
INTERFACE Boost::headers
Boost::chrono
Boost::container
Boost::coroutine
Boost::date_time
Boost::filesystem
Boost::json
Boost::process
Boost::program_options
Boost::regex
Boost::thread)
if (Boost_COMPILER)
target_link_libraries(xrpl_boost INTERFACE Boost::disable_autolinking)
endif()
if(SANITIZERS_ENABLED AND is_clang)
endif ()
if (SANITIZERS_ENABLED AND is_clang)
# TODO: gcc does not support -fsanitize-blacklist...can we do something else for gcc ?
if(NOT Boost_INCLUDE_DIRS AND TARGET Boost::headers)
get_target_property(
Boost_INCLUDE_DIRS
Boost::headers
INTERFACE_INCLUDE_DIRECTORIES
)
endif()
if (NOT Boost_INCLUDE_DIRS AND TARGET Boost::headers)
get_target_property(Boost_INCLUDE_DIRS Boost::headers INTERFACE_INCLUDE_DIRECTORIES)
endif ()
message(STATUS "Adding [${Boost_INCLUDE_DIRS}] to sanitizer blacklist")
file(
WRITE ${CMAKE_CURRENT_BINARY_DIR}/san_bl.txt
"src:${Boost_INCLUDE_DIRS}/*"
)
file(WRITE ${CMAKE_CURRENT_BINARY_DIR}/san_bl.txt "src:${Boost_INCLUDE_DIRS}/*")
target_compile_options(
opts
INTERFACE # ignore boost headers for sanitizing
-fsanitize-blacklist=${CMAKE_CURRENT_BINARY_DIR}/san_bl.txt
)
endif()
opts INTERFACE # ignore boost headers for sanitizing
-fsanitize-blacklist=${CMAKE_CURRENT_BINARY_DIR}/san_bl.txt)
endif ()

View File

@@ -37,7 +37,7 @@ include(create_symbolic_link)
# `${CMAKE_CURRENT_BINARY_DIR}/include/${target}`.
#
# isolate_headers(target A B scope)
function(isolate_headers target A B scope)
function (isolate_headers target A B scope)
file(RELATIVE_PATH C "${A}" "${B}")
set(X "${CMAKE_CURRENT_BINARY_DIR}/modules/${target}")
set(Y "${X}/${C}")
@@ -45,4 +45,4 @@ function(isolate_headers target A B scope)
file(MAKE_DIRECTORY "${parent}")
create_symbolic_link("${B}" "${Y}")
target_include_directories(${target} ${scope} "$<BUILD_INTERFACE:${X}>")
endfunction()
endfunction ()

View File

@@ -6,9 +6,9 @@
# target_link_libraries(project.libparent.b PUBLIC project.libparent.a)
# add_library(project.libparent)
# target_link_modules(parent PUBLIC a b)
function(target_link_modules parent scope)
function (target_link_modules parent scope)
set(library ${PROJECT_NAME}.lib${parent})
foreach(name ${ARGN})
foreach (name ${ARGN})
set(module ${library}.${name})
get_target_property(sources ${library} SOURCES)
list(LENGTH sources before)
@@ -17,11 +17,8 @@ function(target_link_modules parent scope)
list(REMOVE_ITEM sources ${dupes})
list(LENGTH sources after)
math(EXPR actual "${before} - ${after}")
message(
STATUS
"${module} with ${expected} sources took ${actual} sources from ${library}"
)
message(STATUS "${module} with ${expected} sources took ${actual} sources from ${library}")
set_target_properties(${library} PROPERTIES SOURCES "${sources}")
target_link_libraries(${library} ${scope} ${module})
endforeach()
endfunction()
endforeach ()
endfunction ()

View File

@@ -35,31 +35,20 @@ find_package(Protobuf REQUIRED)
# This prefix should appear at the start of all your consumer includes.
# ARGN:
# A list of .proto files.
function(target_protobuf_sources target prefix)
function (target_protobuf_sources target prefix)
set(dir "${CMAKE_CURRENT_BINARY_DIR}/pb-${target}")
file(MAKE_DIRECTORY "${dir}/${prefix}")
protobuf_generate(
TARGET ${target}
PROTOC_OUT_DIR "${dir}/${prefix}"
"${ARGN}"
)
protobuf_generate(TARGET ${target} PROTOC_OUT_DIR "${dir}/${prefix}" "${ARGN}")
target_include_directories(
${target}
SYSTEM
${target} SYSTEM
PUBLIC # Allows #include <package/path/to/file.proto> used by consumer files.
$<BUILD_INTERFACE:${dir}>
# Allows #include "path/to/file.proto" used by generated files.
$<BUILD_INTERFACE:${dir}/${prefix}>
# Allows #include <package/path/to/file.proto> used by consumer files.
$<INSTALL_INTERFACE:${CMAKE_INSTALL_INCLUDEDIR}>
# Allows #include "path/to/file.proto" used by generated files.
$<INSTALL_INTERFACE:${CMAKE_INSTALL_INCLUDEDIR}/${prefix}>
)
install(
DIRECTORY ${dir}/
DESTINATION ${CMAKE_INSTALL_INCLUDEDIR}
FILES_MATCHING
PATTERN "*.h"
)
endfunction()
$<BUILD_INTERFACE:${dir}>
# Allows #include "path/to/file.proto" used by generated files.
$<BUILD_INTERFACE:${dir}/${prefix}>
# Allows #include <package/path/to/file.proto> used by consumer files.
$<INSTALL_INTERFACE:${CMAKE_INSTALL_INCLUDEDIR}>
# Allows #include "path/to/file.proto" used by generated files.
$<INSTALL_INTERFACE:${CMAKE_INSTALL_INCLUDEDIR}/${prefix}>)
install(DIRECTORY ${dir}/ DESTINATION ${CMAKE_INSTALL_INCLUDEDIR} FILES_MATCHING PATTERN "*.h")
endfunction ()

View File

@@ -10,10 +10,13 @@
"rocksdb/10.5.1#4a197eca381a3e5ae8adf8cffa5aacd0%1765850186.86",
"re2/20230301#ca3b241baec15bd31ea9187150e0b333%1765850148.103",
"protobuf/6.32.1#f481fd276fc23a33b85a3ed1e898b693%1765850161.038",
"openssl/3.5.5#05a4ac5b7323f7a329b2db1391d9941f%1769599205.414",
"opentelemetry-cpp/1.18.0#efd9851e173f8a13b9c7d35232de8cf1%1750409186.472",
"openssl/3.5.5#05a4ac5b7323f7a329b2db1391d9941f%1770229825.601",
"nudb/2.0.9#0432758a24204da08fee953ec9ea03cb%1769436073.32",
"nlohmann_json/3.11.3#45828be26eb619a2e04ca517bb7b828d%1701220705.259",
"lz4/1.10.0#59fc63cac7f10fbe8e05c7e62c2f3504%1765850143.914",
"libiconv/1.17#1e65319e945f2d31941a9d28cc13c058%1765842973.492",
"libcurl/8.18.0#364bc3755cb9ef84ed9a7ae9c7efc1c1%1770984390.024",
"libbacktrace/cci.20210118#a7691bfccd8caaf66309df196790a5a1%1765842973.03",
"libarchive/3.8.1#ffee18995c706e02bf96e7a2f7042e0d%1765850144.736",
"jemalloc/5.3.0#e951da9cf599e956cebc117880d2d9f8%1729241615.244",
@@ -30,9 +33,15 @@
"zlib/1.3.1#b8bc2603263cf7eccbd6e17e66b0ed76%1765850150.075",
"strawberryperl/5.32.1.1#707032463aa0620fa17ec0d887f5fe41%1765850165.196",
"protobuf/6.32.1#f481fd276fc23a33b85a3ed1e898b693%1765850161.038",
"pkgconf/2.5.1#93c2051284cba1279494a43a4fcfeae2%1757684701.089",
"opentelemetry-proto/1.4.0#4096a3b05916675ef9628f3ffd571f51%1732731336.11",
"ninja/1.13.2#c8c5dc2a52ed6e4e42a66d75b4717ceb%1764096931.974",
"nasm/2.16.01#31e26f2ee3c4346ecd347911bd126904%1765850144.707",
"msys2/cci.latest#eea83308ad7e9023f7318c60d5a9e6cb%1770199879.083",
"meson/1.10.0#60786758ea978964c24525de19603cf4%1768294926.103",
"m4/1.4.19#70dc8bbb33e981d119d2acc0175cf381%1763158052.846",
"libtool/2.4.7#14e7739cc128bc1623d2ed318008e47e%1755679003.847",
"gnu-config/cci.20210814#466e9d4d7779e1c142443f7ea44b4284%1762363589.329",
"cmake/4.2.0#ae0a44f44a1ef9ab68fd4b3e9a1f8671%1765850153.937",
"cmake/3.31.10#313d16a1aa16bbdb2ca0792467214b76%1765850153.479",
"b2/5.3.3#107c15377719889654eb9a162a673975%1765850144.355",

View File

@@ -22,6 +22,7 @@ class Xrpl(ConanFile):
"rocksdb": [True, False],
"shared": [True, False],
"static": [True, False],
"telemetry": [True, False],
"tests": [True, False],
"unity": [True, False],
"xrpld": [True, False],
@@ -54,6 +55,7 @@ class Xrpl(ConanFile):
"rocksdb": True,
"shared": False,
"static": True,
"telemetry": True,
"tests": False,
"unity": False,
"xrpld": False,
@@ -140,6 +142,10 @@ class Xrpl(ConanFile):
self.requires("jemalloc/5.3.0")
if self.options.rocksdb:
self.requires("rocksdb/10.5.1")
# OpenTelemetry C++ SDK for distributed tracing (optional).
# Provides OTLP/HTTP exporter, batch span processor, and trace API.
if self.options.telemetry:
self.requires("opentelemetry-cpp/1.18.0")
self.requires("xxhash/0.8.3", **transitive_headers_opt)
exports_sources = (
@@ -168,6 +174,7 @@ class Xrpl(ConanFile):
tc.variables["rocksdb"] = self.options.rocksdb
tc.variables["BUILD_SHARED_LIBS"] = self.options.shared
tc.variables["static"] = self.options.static
tc.variables["telemetry"] = self.options.telemetry
tc.variables["unity"] = self.options.unity
tc.variables["xrpld"] = self.options.xrpld
tc.generate()
@@ -220,3 +227,5 @@ class Xrpl(ConanFile):
]
if self.options.rocksdb:
libxrpl.requires.append("rocksdb::librocksdb")
if self.options.telemetry:
libxrpl.requires.append("opentelemetry-cpp::opentelemetry-cpp")

View File

@@ -87,6 +87,8 @@ words:
- daria
- dcmake
- dearmor
- Dedup
- dedup
- deleteme
- demultiplexer
- deserializaton
@@ -97,6 +99,7 @@ words:
- doxyfile
- dxrpl
- endmacro
- EOCFG
- exceptioned
- Falco
- finalizers
@@ -176,10 +179,9 @@ words:
- nixfmt
- nixos
- nixpkgs
- NOLINT
- NOLINTNEXTLINE
- nonxrp
- noripple
- nostd
- nudb
- nullptr
- nunl
@@ -192,8 +194,11 @@ words:
- permdex
- perminute
- permissioned
- pgrep
- pkill
- pointee
- populator
- pratik
- preauth
- preauthorization
- preauthorize
@@ -208,6 +213,7 @@ words:
- queuable
- Raphson
- replayer
- reqps
- rerere
- retriable
- RIPD
@@ -302,6 +308,10 @@ words:
- xchain
- ximinez
- EXPECT_STREQ
- Gantt
- gantt
- otelc
- traceql
- XMACRO
- xrpkuwait
- xrpl
@@ -309,3 +319,5 @@ words:
- xrplf
- xxhash
- xxhasher
- xychart
- zpages

584
docker/telemetry/TESTING.md Normal file
View File

@@ -0,0 +1,584 @@
# OpenTelemetry Integration Testing Guide
This document describes how to verify the rippled OpenTelemetry telemetry
pipeline end-to-end, from span generation through the observability stack
(otel-collector, Jaeger, Prometheus, Grafana).
---
## Prerequisites
### Build xrpld with telemetry
```bash
conan install . --build=missing -o telemetry=True
cmake --preset default -Dtelemetry=ON
cmake --build --preset default --target xrpld
```
The binary is at `.build/xrpld`.
### Required tools
- **Docker** with `docker compose` (v2)
- **curl**
- **jq** (JSON processor)
### Verify binary
```bash
.build/xrpld --version
```
---
## Test 1: Single-Node Standalone (Quick Verification)
This test verifies RPC and transaction spans in standalone mode. Consensus
spans will not fire because standalone mode does not run consensus.
### Step 1: Start the observability stack
```bash
docker compose -f docker/telemetry/docker-compose.yml up -d
```
Wait for services to be ready:
```bash
# otel-collector health
curl -sf http://localhost:13133/ && echo "collector ready"
# Jaeger UI
curl -sf http://localhost:16686/ > /dev/null && echo "jaeger ready"
```
### Step 2: Start xrpld in standalone mode
```bash
.build/xrpld --conf docker/telemetry/xrpld-telemetry.cfg -a --start
```
Wait a few seconds for the node to initialize.
### Step 3: Exercise RPC spans
```bash
# server_info
curl -s http://localhost:5005 \
-d '{"method":"server_info"}' | jq .result.info.server_state
# server_state
curl -s http://localhost:5005 \
-d '{"method":"server_state"}' | jq .result.state.server_state
# ledger
curl -s http://localhost:5005 \
-d '{"method":"ledger","params":[{"ledger_index":"current"}]}' \
| jq .result.ledger_current_index
```
### Step 4: Submit a transaction
Close the ledger first (required in standalone mode):
```bash
curl -s http://localhost:5005 -d '{"method":"ledger_accept"}'
```
Submit a Payment from the genesis account:
```bash
curl -s http://localhost:5005 -d '{
"method": "submit",
"params": [{
"secret": "snoPBrXtMeMyMHUVTgbuqAfg1SUTb",
"tx_json": {
"TransactionType": "Payment",
"Account": "rHb9CJAWyB4rj91VRWn96DkukG4bwdtyTh",
"Destination": "rPMh7Pi9ct699iZUTWzJaUMR1o42VEfGqF",
"Amount": "10000000"
}
}]
}' | jq .result.engine_result
```
Expected result: `"tesSUCCESS"`.
Close the ledger again to finalize:
```bash
curl -s http://localhost:5005 -d '{"method":"ledger_accept"}'
```
### Step 5: Verify traces in Jaeger
Wait 5 seconds for the batch export, then:
```bash
JAEGER="http://localhost:16686"
# Check rippled service is registered
curl -s "$JAEGER/api/services" | jq '.data'
# Check RPC spans
curl -s "$JAEGER/api/traces?service=rippled&operation=rpc.request&limit=5&lookback=1h" \
| jq '.data | length'
curl -s "$JAEGER/api/traces?service=rippled&operation=rpc.process&limit=5&lookback=1h" \
| jq '.data | length'
curl -s "$JAEGER/api/traces?service=rippled&operation=rpc.command.server_info&limit=5&lookback=1h" \
| jq '.data | length'
# Check transaction spans
curl -s "$JAEGER/api/traces?service=rippled&operation=tx.process&limit=5&lookback=1h" \
| jq '.data | length'
```
Or open the Jaeger UI: http://localhost:16686
### Step 6: Teardown
```bash
# Kill xrpld (Ctrl+C or)
kill $(pgrep -f 'xrpld.*xrpld-telemetry')
# Stop observability stack
docker compose -f docker/telemetry/docker-compose.yml down
# Clean xrpld data
rm -rf data/
```
### Expected spans (standalone mode)
| Span Name | Expected | Notes |
| --------------------------- | -------- | ----------------------------- |
| `rpc.request` | Yes | Every HTTP RPC call |
| `rpc.process` | Yes | Every RPC processing |
| `rpc.command.server_info` | Yes | server_info RPC |
| `rpc.command.server_state` | Yes | server_state RPC |
| `rpc.command.ledger` | Yes | ledger RPC |
| `rpc.command.submit` | Yes | submit RPC |
| `rpc.command.ledger_accept` | Yes | ledger_accept RPC |
| `tx.process` | Yes | Transaction submission |
| `tx.receive` | No | No peers in standalone |
| `consensus.*` | No | Consensus disabled standalone |
---
## Test 2: 6-Node Consensus Network (Full Verification)
This test verifies ALL span categories including consensus and peer
transaction relay, using a 6-node validator network.
### Automated
Run the integration test script:
```bash
bash docker/telemetry/integration-test.sh
```
The script will:
1. Start the observability stack
2. Generate 6 validator key pairs
3. Create config files for each node
4. Start all 6 nodes
5. Wait for consensus ("proposing" state)
6. Exercise RPC, submit transactions
7. Verify all span categories in Jaeger
8. Verify spanmetrics in Prometheus
9. Print results and leave the stack running
### Manual
If you prefer to run the steps manually:
#### Step 1: Start observability stack
```bash
docker compose -f docker/telemetry/docker-compose.yml up -d
```
#### Step 2: Generate validator keys
Start a temporary standalone xrpld:
```bash
.build/xrpld --conf docker/telemetry/xrpld-telemetry.cfg -a --start &
TEMP_PID=$!
sleep 5
```
Generate 6 key pairs:
```bash
for i in $(seq 1 6); do
curl -s http://localhost:5005 \
-d '{"method":"validation_create"}' | jq '.result'
done
```
Record the `validation_seed` and `validation_public_key` for each.
Kill the temporary node:
```bash
kill $TEMP_PID
rm -rf data/
```
#### Step 3: Create node configs
For each node (1-6), create a config file. Template:
```ini
[server]
port_rpc
port_peer
[port_rpc]
port = {5004 + node_number}
ip = 127.0.0.1
admin = 127.0.0.1
protocol = http
[port_peer]
port = {51234 + node_number}
ip = 0.0.0.0
protocol = peer
[node_db]
type=NuDB
path=/tmp/xrpld-integration/node{N}/nudb
online_delete=256
[database_path]
/tmp/xrpld-integration/node{N}/db
[debug_logfile]
/tmp/xrpld-integration/node{N}/debug.log
[validation_seed]
{seed from step 2}
[validators_file]
/tmp/xrpld-integration/validators.txt
[ips_fixed]
127.0.0.1 51235
127.0.0.1 51236
127.0.0.1 51237
127.0.0.1 51238
127.0.0.1 51239
127.0.0.1 51240
[peer_private]
1
[telemetry]
enabled=1
endpoint=http://localhost:4318/v1/traces
exporter=otlp_http
sampling_ratio=1.0
batch_size=512
batch_delay_ms=2000
max_queue_size=2048
trace_rpc=1
trace_transactions=1
trace_consensus=1
trace_peer=0
trace_ledger=1
[rpc_startup]
{ "command": "log_level", "severity": "warning" }
[ssl_verify]
0
```
#### Step 4: Create validators.txt
```ini
[validators]
{public_key_1}
{public_key_2}
{public_key_3}
{public_key_4}
{public_key_5}
{public_key_6}
```
#### Step 5: Start all 6 nodes
```bash
for i in $(seq 1 6); do
.build/xrpld --conf /tmp/xrpld-integration/node$i/xrpld.cfg --start &
echo $! > /tmp/xrpld-integration/node$i/xrpld.pid
done
```
#### Step 6: Wait for consensus
Poll each node until `server_state` = `"proposing"`:
```bash
for port in 5005 5006 5007 5008 5009 5010; do
while true; do
state=$(curl -s http://localhost:$port \
-d '{"method":"server_info"}' \
| jq -r '.result.info.server_state')
echo "Port $port: $state"
[ "$state" = "proposing" ] && break
sleep 5
done
done
```
#### Step 7: Exercise RPC and submit transaction
```bash
# RPC calls
curl -s http://localhost:5005 -d '{"method":"server_info"}'
curl -s http://localhost:5005 -d '{"method":"server_state"}'
curl -s http://localhost:5005 -d '{"method":"ledger","params":[{"ledger_index":"current"}]}'
# Submit transaction
curl -s http://localhost:5005 -d '{
"method": "submit",
"params": [{
"secret": "snoPBrXtMeMyMHUVTgbuqAfg1SUTb",
"tx_json": {
"TransactionType": "Payment",
"Account": "rHb9CJAWyB4rj91VRWn96DkukG4bwdtyTh",
"Destination": "rPMh7Pi9ct699iZUTWzJaUMR1o42VEfGqF",
"Amount": "10000000"
}
}]
}'
```
Wait 15 seconds for consensus and batch export.
#### Step 8: Verify in Jaeger
See the "Verification Queries" section below.
---
## Expected Span Catalog
All 16 production span names instrumented across Phases 2-5:
| Span Name | Source File | Phase | Key Attributes | How to Trigger |
| --------------------------- | --------------------- | ----- | --------------------------------------------------------------------------------- | ------------------------- |
| `rpc.request` | ServerHandler.cpp:271 | 2 | -- | Any HTTP RPC call |
| `rpc.process` | ServerHandler.cpp:573 | 2 | -- | Any HTTP RPC call |
| `rpc.ws_message` | ServerHandler.cpp:384 | 2 | -- | WebSocket RPC message |
| `rpc.command.<name>` | RPCHandler.cpp:161 | 2 | `xrpl.rpc.command`, `xrpl.rpc.version`, `xrpl.rpc.role` | Any RPC command |
| `tx.process` | NetworkOPs.cpp:1227 | 3 | `xrpl.tx.hash`, `xrpl.tx.local`, `xrpl.tx.path` | Submit transaction |
| `tx.receive` | PeerImp.cpp:1273 | 3 | `xrpl.peer.id` | Peer relays transaction |
| `consensus.proposal.send` | RCLConsensus.cpp:177 | 4 | `xrpl.consensus.round` | Consensus proposing phase |
| `consensus.ledger_close` | RCLConsensus.cpp:282 | 4 | `xrpl.consensus.ledger.seq`, `xrpl.consensus.mode` | Ledger close event |
| `consensus.accept` | RCLConsensus.cpp:395 | 4 | `xrpl.consensus.proposers`, `xrpl.consensus.round_time_ms` | Ledger accepted |
| `consensus.validation.send` | RCLConsensus.cpp:753 | 4 | `xrpl.consensus.ledger.seq`, `xrpl.consensus.proposing` | Validation sent |
| `consensus.accept.apply` | RCLConsensus.cpp:453 | 4 | `xrpl.consensus.close_time`, `close_time_correct`, `close_resolution_ms`, `state` | Ledger apply + close time |
| `tx.apply` | BuildLedger.cpp:88 | 5 | `xrpl.ledger.tx_count`, `xrpl.ledger.tx_failed` | Ledger close (tx set) |
| `ledger.build` | BuildLedger.cpp:31 | 5 | `xrpl.ledger.seq` | Ledger build |
| `ledger.validate` | LedgerMaster.cpp:915 | 5 | `xrpl.ledger.seq`, `xrpl.ledger.validations` | Ledger validated |
| `ledger.store` | LedgerMaster.cpp:409 | 5 | `xrpl.ledger.seq` | Ledger stored |
| `peer.proposal.receive` | PeerImp.cpp:1667 | 5 | `xrpl.peer.id`, `xrpl.peer.proposal.trusted` | Peer sends proposal |
| `peer.validation.receive` | PeerImp.cpp:2264 | 5 | `xrpl.peer.id`, `xrpl.peer.validation.trusted` | Peer sends validation |
---
## Verification Queries
### Jaeger API
Base URL: `http://localhost:16686`
```bash
JAEGER="http://localhost:16686"
# List all services
curl -s "$JAEGER/api/services" | jq '.data'
# List operations for rippled
curl -s "$JAEGER/api/services/rippled/operations" | jq '.data'
# Query traces by operation
for op in "rpc.request" "rpc.process" \
"rpc.command.server_info" "rpc.command.server_state" "rpc.command.ledger" \
"tx.process" "tx.receive" "tx.apply" \
"consensus.proposal.send" "consensus.ledger_close" \
"consensus.accept" "consensus.accept.apply" \
"consensus.validation.send" \
"ledger.build" "ledger.validate" "ledger.store" \
"peer.proposal.receive" "peer.validation.receive"; do
count=$(curl -s "$JAEGER/api/traces?service=rippled&operation=$op&limit=5&lookback=1h" \
| jq '.data | length')
printf "%-35s %s traces\n" "$op" "$count"
done
```
### Prometheus API
Base URL: `http://localhost:9090`
```bash
PROM="http://localhost:9090"
# Span call counts (from spanmetrics connector)
curl -s "$PROM/api/v1/query?query=traces_span_metrics_calls_total" \
| jq '.data.result[] | {span: .metric.span_name, count: .value[1]}'
# Latency histogram
curl -s "$PROM/api/v1/query?query=traces_span_metrics_duration_milliseconds_count" \
| jq '.data.result[] | {span: .metric.span_name, count: .value[1]}'
# RPC calls by command
curl -s "$PROM/api/v1/query?query=traces_span_metrics_calls_total{span_name=~\"rpc.command.*\"}" \
| jq '.data.result[] | {command: .metric["xrpl.rpc.command"], count: .value[1]}'
```
### StatsD Metrics (beast::insight)
rippled's built-in `beast::insight` framework emits StatsD metrics over UDP to the OTel Collector
on port 8125. These appear in Prometheus alongside spanmetrics.
Requires `[insight]` config in `xrpld.cfg`:
```ini
[insight]
server=statsd
address=127.0.0.1:8125
prefix=rippled
```
Verify StatsD metrics in Prometheus:
```bash
# Ledger age gauge
curl -s "$PROM/api/v1/query?query=rippled_LedgerMaster_Validated_Ledger_Age" | jq '.data.result'
# Peer counts
curl -s "$PROM/api/v1/query?query=rippled_Peer_Finder_Active_Inbound_Peers" | jq '.data.result'
# RPC request counter
curl -s "$PROM/api/v1/query?query=rippled_rpc_requests" | jq '.data.result'
# State accounting
curl -s "$PROM/api/v1/query?query=rippled_State_Accounting_Full_duration" | jq '.data.result'
# Overlay traffic
curl -s "$PROM/api/v1/query?query=rippled_total_Bytes_In" | jq '.data.result'
```
Key StatsD metrics (prefix `rippled_`):
| Metric | Type | Source |
| ------------------------------------- | --------- | ----------------------------------------- |
| `LedgerMaster_Validated_Ledger_Age` | gauge | LedgerMaster.h:373 |
| `LedgerMaster_Published_Ledger_Age` | gauge | LedgerMaster.h:374 |
| `State_Accounting_{Mode}_duration` | gauge | NetworkOPs.cpp:774 |
| `State_Accounting_{Mode}_transitions` | gauge | NetworkOPs.cpp:780 |
| `Peer_Finder_Active_Inbound_Peers` | gauge | PeerfinderManager.cpp:214 |
| `Peer_Finder_Active_Outbound_Peers` | gauge | PeerfinderManager.cpp:215 |
| `Overlay_Peer_Disconnects` | gauge | OverlayImpl.h:557 |
| `job_count` | gauge | JobQueue.cpp:26 |
| `rpc_requests` | counter | ServerHandler.cpp:108 |
| `rpc_time` | histogram | ServerHandler.cpp:110 |
| `rpc_size` | histogram | ServerHandler.cpp:109 |
| `ios_latency` | histogram | Application.cpp:438 |
| `pathfind_fast` | histogram | PathRequests.h:23 |
| `pathfind_full` | histogram | PathRequests.h:24 |
| `ledger_fetches` | counter | InboundLedgers.cpp:44 |
| `ledger_history_mismatch` | counter | LedgerHistory.cpp:16 |
| `warn` | counter | Logic.h:33 |
| `drop` | counter | Logic.h:34 |
| `{category}_Bytes_In/Out` | gauge | OverlayImpl.h:535 (57 traffic categories) |
| `{category}_Messages_In/Out` | gauge | OverlayImpl.h:535 (57 traffic categories) |
### Grafana
Open http://localhost:3000 (anonymous admin access enabled).
Pre-configured dashboards (span-derived):
- **RPC Performance**: Request rates, latency percentiles by command, top commands, WebSocket rate
- **Transaction Overview**: Transaction processing rates, apply duration, peer relay, failed tx rate
- **Consensus Health**: Consensus round duration, proposer counts, mode tracking, accept heatmap
- **Ledger Operations**: Build/validate/store rates and durations, TX apply metrics
- **Peer Network**: Proposal/validation receive rates, trusted vs untrusted breakdown (requires `trace_peer=1`)
Pre-configured dashboards (StatsD):
- **Node Health (StatsD)**: Validated/published ledger age, operating mode, I/O latency, job queue
- **Network Traffic (StatsD)**: Peer counts, disconnects, overlay traffic by category
- **RPC & Pathfinding (StatsD)**: RPC request rate/time/size, pathfinding duration, resource warnings
Pre-configured datasources:
- **Jaeger**: Trace data at `http://jaeger:16686`
- **Tempo**: Trace data at `http://tempo:3200` (via Grafana Explore)
- **Prometheus**: Metrics at `http://prometheus:9090`
---
## Troubleshooting
### No traces in Jaeger
1. Check otel-collector logs:
```bash
docker compose -f docker/telemetry/docker-compose.yml logs otel-collector
```
2. Verify xrpld telemetry config has `enabled=1` and correct endpoint
3. Check that otel-collector port 4318 is accessible:
```bash
curl -sf http://localhost:4318 && echo "reachable"
```
4. Increase `batch_delay_ms` or decrease `batch_size` in xrpld config
### Nodes not reaching "proposing" state
1. Check that all peer ports (51235-51240) are not in use:
```bash
for p in 51235 51236 51237 51238 51239 51240; do
ss -tlnp | grep ":$p " && echo "port $p in use"
done
```
2. Verify `[ips_fixed]` lists all 6 peer ports
3. Verify `validators.txt` has all 6 public keys
4. Check node debug logs: `tail -50 /tmp/xrpld-integration/node1/debug.log`
5. Ensure `[peer_private]` is set to `1` (prevents reaching out to public network)
### Transaction not processing
1. Verify genesis account exists:
```bash
curl -s http://localhost:5005 \
-d '{"method":"account_info","params":[{"account":"rHb9CJAWyB4rj91VRWn96DkukG4bwdtyTh"}]}' \
| jq .result.account_data.Balance
```
2. Check submit response for error codes
3. In standalone mode, remember to call `ledger_accept` after submitting
### Spanmetrics not appearing in Prometheus
1. Verify otel-collector config has `spanmetrics` connector
2. Check that the metrics pipeline is configured:
```yaml
service:
pipelines:
metrics:
receivers: [spanmetrics]
exporters: [prometheus]
```
3. Verify Prometheus can reach collector:
```bash
curl -s http://localhost:9090/api/v1/targets | jq '.data.activeTargets'
```

View File

@@ -0,0 +1,95 @@
# Docker Compose stack for rippled OpenTelemetry observability.
#
# Provides services for local development:
# - otel-collector: receives OTLP traces from rippled, batches and
# forwards them to Jaeger and Tempo. Listens on ports 4317 (gRPC)
# and 4318 (HTTP).
# - jaeger: all-in-one tracing backend with UI on port 16686.
# - tempo: Grafana Tempo tracing backend, queryable via Grafana Explore
# on port 3000. Recommended for production (S3/GCS storage, TraceQL).
# - grafana: dashboards on port 3000, pre-configured with Jaeger, Tempo,
# and Prometheus datasources.
#
# Usage:
# docker compose -f docker/telemetry/docker-compose.yml up -d
#
# Configure rippled to export traces by adding to xrpld.cfg:
# [telemetry]
# enabled=1
# endpoint=http://localhost:4318/v1/traces
version: "3.8"
services:
otel-collector:
image: otel/opentelemetry-collector-contrib:latest
command: ["--config=/etc/otel-collector-config.yaml"]
ports:
- "4317:4317" # OTLP gRPC
- "4318:4318" # OTLP HTTP
- "8125:8125/udp" # StatsD UDP (beast::insight metrics)
- "8889:8889" # Prometheus metrics (spanmetrics + statsd)
- "13133:13133" # Health check
volumes:
- ./otel-collector-config.yaml:/etc/otel-collector-config.yaml:ro
depends_on:
- jaeger
- tempo
networks:
- rippled-telemetry
jaeger:
image: jaegertracing/all-in-one:latest
environment:
- COLLECTOR_OTLP_ENABLED=true
ports:
- "16686:16686" # Jaeger UI
- "14250:14250" # gRPC
networks:
- rippled-telemetry
tempo:
image: grafana/tempo:2.7.2
command: ["-config.file=/etc/tempo.yaml"]
ports:
- "3200:3200" # Tempo HTTP API (health, query)
volumes:
- ./tempo.yaml:/etc/tempo.yaml:ro
- tempo-data:/var/tempo
networks:
- rippled-telemetry
prometheus:
image: prom/prometheus:latest
ports:
- "9090:9090"
volumes:
- ./prometheus.yml:/etc/prometheus/prometheus.yml:ro
depends_on:
- otel-collector
networks:
- rippled-telemetry
grafana:
image: grafana/grafana:latest
environment:
- GF_AUTH_ANONYMOUS_ENABLED=true
- GF_AUTH_ANONYMOUS_ORG_ROLE=Admin
ports:
- "3000:3000"
volumes:
- ./grafana/provisioning:/etc/grafana/provisioning:ro
- ./grafana/dashboards:/var/lib/grafana/dashboards:ro
depends_on:
- jaeger
- tempo
- prometheus
networks:
- rippled-telemetry
volumes:
tempo-data:
networks:
rippled-telemetry:
driver: bridge

View File

@@ -0,0 +1,444 @@
{
"annotations": {
"list": []
},
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 1,
"id": null,
"links": [],
"panels": [
{
"title": "Consensus Round Duration",
"description": "p95 and p50 duration of consensus accept rounds. The consensus.accept span (RCLConsensus.cpp:395) measures the time to process an accepted ledger including transaction application and state finalization. The span carries xrpl.consensus.proposers and xrpl.consensus.round_time_ms attributes. Normal range is 3-6 seconds on mainnet.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 0
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "histogram_quantile(0.95, sum by (le) (rate(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", span_name=\"consensus.accept\"}[5m])))",
"legendFormat": "P95 Round Duration"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "histogram_quantile(0.50, sum by (le) (rate(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", span_name=\"consensus.accept\"}[5m])))",
"legendFormat": "P50 Round Duration"
}
],
"fieldConfig": {
"defaults": {
"unit": "ms",
"custom": {
"axisLabel": "Duration (ms)",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Consensus Proposals Sent Rate",
"description": "Rate at which this node sends consensus proposals to the network. Sourced from the consensus.proposal.send span (RCLConsensus.cpp:177) which fires each time the node proposes a transaction set. The span carries xrpl.consensus.round identifying the consensus round number. A healthy proposing node should show steady proposal output.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 0
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"consensus.proposal.send\"}[5m]))",
"legendFormat": "Proposals / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops",
"custom": {
"axisLabel": "Proposals / Sec",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Ledger Close Duration",
"description": "p95 duration of the ledger close event. The consensus.ledger_close span (RCLConsensus.cpp:282) measures the time from when consensus triggers a ledger close to completion. Carries xrpl.consensus.ledger.seq and xrpl.consensus.mode attributes. Compare with Consensus Round Duration to understand how close timing relates to overall round time.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 8
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "histogram_quantile(0.95, sum by (le) (rate(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", span_name=\"consensus.ledger_close\"}[5m])))",
"legendFormat": "P95 Close Duration"
}
],
"fieldConfig": {
"defaults": {
"unit": "ms",
"custom": {
"axisLabel": "Duration (ms)",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Validation Send Rate",
"description": "Rate at which this node sends ledger validations to the network. Sourced from the consensus.validation.send span (RCLConsensus.cpp:753). Each validation confirms the node has fully validated a ledger. The span carries xrpl.consensus.ledger.seq and xrpl.consensus.proposing. Should closely track the ledger close rate when the node is healthy.",
"type": "stat",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 8
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"consensus.validation.send\"}[5m]))",
"legendFormat": "Validations / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops"
},
"overrides": []
}
},
{
"title": "Ledger Apply Duration (doAccept)",
"description": "Time spent applying the consensus result to build a new ledger. Measured by the consensus.accept.apply span in doAccept().",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 16
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "histogram_quantile(0.95, sum by (le) (rate(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", span_name=\"consensus.accept.apply\"}[5m])))",
"legendFormat": "p95 apply duration"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "histogram_quantile(0.50, sum by (le) (rate(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", span_name=\"consensus.accept.apply\"}[5m])))",
"legendFormat": "p50 apply duration"
}
],
"fieldConfig": {
"defaults": {
"unit": "ms"
},
"overrides": []
}
},
{
"title": "Close Time Agreement",
"description": "Rate of close time agreement vs disagreement across consensus rounds. Based on xrpl.consensus.close_time_correct attribute (true = validators agreed, false = agreed to disagree per avCT_CONSENSUS_PCT).",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 16
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"consensus.accept.apply\"}[5m]))",
"legendFormat": "total rounds/sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops"
},
"overrides": []
}
},
{
"title": "Consensus Mode Over Time",
"description": "Breakdown of consensus ledger close events by the node's consensus mode (proposing, observing, wrongLedger, switchedLedger). Grouped by the xrpl.consensus.mode span attribute from consensus.ledger_close. A healthy validator should be predominantly in 'proposing' mode. Frequent 'wrongLedger' or 'switchedLedger' indicates sync issues.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 24
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum by (xrpl_consensus_mode) (rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"consensus.ledger_close\"}[5m]))",
"legendFormat": "{{xrpl_consensus_mode}}"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops",
"custom": {
"axisLabel": "Events / Sec",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Accept vs Close Rate",
"description": "Compares the rate of consensus.accept (ledger accepted after consensus) vs consensus.ledger_close (ledger close initiated). These should track closely in a healthy network. A divergence means some close events are not completing the accept phase, potentially indicating consensus failures or timeouts.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 24
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"consensus.accept\"}[5m]))",
"legendFormat": "Accepts / Sec"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"consensus.ledger_close\"}[5m]))",
"legendFormat": "Closes / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops",
"custom": {
"axisLabel": "Events / Sec",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Validation vs Close Rate",
"description": "Compares the rate of consensus.validation.send vs consensus.ledger_close. Each validated ledger should produce one validation message. If validations lag behind closes, the node may be falling behind on validation or experiencing issues with the validation pipeline.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 32
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"consensus.validation.send\"}[5m]))",
"legendFormat": "Validations / Sec"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"consensus.ledger_close\"}[5m]))",
"legendFormat": "Closes / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops",
"custom": {
"axisLabel": "Events / Sec",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Consensus Accept Duration Heatmap",
"description": "Heatmap showing the distribution of consensus.accept span durations across histogram buckets over time. Each cell represents how many accept events fell into that duration bucket in a 5m window. Useful for detecting outlier consensus rounds that take abnormally long.",
"type": "heatmap",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 32
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
},
"yAxis": {
"axisLabel": "Duration (ms)"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(increase(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", span_name=\"consensus.accept\"}[5m])) by (le)",
"legendFormat": "{{le}}",
"format": "heatmap"
}
]
}
],
"schemaVersion": 39,
"tags": [
"rippled",
"consensus",
"telemetry"
],
"templating": {
"list": [
{
"name": "node",
"label": "Node",
"description": "Filter by rippled node (service.instance.id \u2014 defaults to node public key)",
"type": "query",
"query": "label_values(traces_span_metrics_calls_total, service_instance_id)",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"includeAll": true,
"allValue": ".*",
"current": {
"text": "All",
"value": "$__all"
},
"multi": true,
"refresh": 2,
"sort": 1
},
{
"name": "consensus_mode",
"label": "Consensus Mode",
"description": "Filter by consensus mode (proposing, observing, wrongLedger, switchedLedger)",
"type": "query",
"query": "label_values(traces_span_metrics_calls_total{span_name=\"consensus.ledger_close\"}, xrpl_consensus_mode)",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"includeAll": true,
"allValue": ".*",
"current": {
"text": "All",
"value": "$__all"
},
"multi": true,
"refresh": 2,
"sort": 1
}
]
},
"time": {
"from": "now-1h",
"to": "now"
},
"title": "rippled Consensus Health",
"uid": "rippled-consensus"
}

View File

@@ -0,0 +1,351 @@
{
"annotations": {
"list": []
},
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 1,
"id": null,
"links": [],
"panels": [
{
"title": "Ledger Build Rate",
"description": "Rate at which new ledgers are being built. The ledger.build span (BuildLedger.cpp:31) wraps the entire buildLedgerImpl() function which creates a new ledger from a parent, applies transactions, flushes SHAMap nodes, and sets the accepted state. Should match the consensus close rate (~0.25/sec on mainnet with ~4s rounds).",
"type": "stat",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 0
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"ledger.build\"}[5m]))",
"legendFormat": "Builds / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops"
},
"overrides": []
}
},
{
"title": "Ledger Build Duration",
"description": "p95 and p50 duration of ledger builds. Measures the full buildLedgerImpl() call including transaction application, SHAMap flushing, and ledger acceptance. The span records xrpl.ledger.seq as an attribute. Long build times indicate expensive transaction sets or I/O pressure from SHAMap flushes.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 0
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "histogram_quantile(0.95, sum by (le) (rate(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", span_name=\"ledger.build\"}[5m])))",
"legendFormat": "P95 Build Duration"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "histogram_quantile(0.50, sum by (le) (rate(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", span_name=\"ledger.build\"}[5m])))",
"legendFormat": "P50 Build Duration"
}
],
"fieldConfig": {
"defaults": {
"unit": "ms",
"custom": {
"axisLabel": "Duration (ms)",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Ledger Validation Rate",
"description": "Rate at which ledgers pass the validation threshold and are accepted as fully validated. The ledger.validate span (LedgerMaster.cpp:915) fires in checkAccept() only after the ledger receives sufficient trusted validations (>= quorum). Records xrpl.ledger.seq and xrpl.ledger.validations (the number of validations received).",
"type": "stat",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 8
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"ledger.validate\"}[5m]))",
"legendFormat": "Validations / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops"
},
"overrides": []
}
},
{
"title": "Ledger Build Duration Heatmap",
"description": "Heatmap showing the distribution of ledger.build durations across histogram buckets over time. Each cell represents the count of ledger builds that fell into that duration bucket in a 5m window. Useful for spotting occasional slow ledger builds that may not appear in percentile charts.",
"type": "heatmap",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 8
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
},
"yAxis": {
"axisLabel": "Duration (ms)"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(increase(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", span_name=\"ledger.build\"}[5m])) by (le)",
"legendFormat": "{{le}}",
"format": "heatmap"
}
]
},
{
"title": "Transaction Apply Duration",
"description": "p95 and p50 duration of applying the consensus transaction set during ledger building. The tx.apply span (BuildLedger.cpp:88) wraps applyTransactions() which iterates through the CanonicalTXSet with multiple retry passes. Records xrpl.ledger.tx_count (successful) and xrpl.ledger.tx_failed (failed) as attributes.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 16
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "histogram_quantile(0.95, sum by (le) (rate(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", span_name=\"tx.apply\"}[5m])))",
"legendFormat": "P95 tx.apply"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "histogram_quantile(0.50, sum by (le) (rate(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", span_name=\"tx.apply\"}[5m])))",
"legendFormat": "P50 tx.apply"
}
],
"fieldConfig": {
"defaults": {
"unit": "ms",
"custom": {
"axisLabel": "Duration (ms)",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Transaction Apply Rate",
"description": "Rate of tx.apply span invocations, reflecting how frequently the transaction application phase runs during ledger building. Each ledger build triggers one tx.apply call. Should closely match the ledger build rate.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 16
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"tx.apply\"}[5m]))",
"legendFormat": "tx.apply / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops",
"custom": {
"axisLabel": "Operations / Sec",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Ledger Store Rate",
"description": "Rate at which ledgers are stored into the ledger history. The ledger.store span (LedgerMaster.cpp:409) wraps storeLedger() which inserts the ledger into the LedgerHistory cache. Records xrpl.ledger.seq. Should match the ledger build rate under normal operation.",
"type": "stat",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 24
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"ledger.store\"}[5m]))",
"legendFormat": "Stores / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops"
},
"overrides": []
}
},
{
"title": "Build vs Close Duration",
"description": "Compares p95 durations of ledger.build (the actual ledger construction in BuildLedger.cpp) vs consensus.ledger_close (the consensus close event in RCLConsensus.cpp). Build time is a subset of close time. A large gap between them indicates overhead in the consensus pipeline outside of ledger construction itself.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 24
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "histogram_quantile(0.95, sum by (le) (rate(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", span_name=\"ledger.build\"}[5m])))",
"legendFormat": "P95 ledger.build"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "histogram_quantile(0.95, sum by (le) (rate(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", span_name=\"consensus.ledger_close\"}[5m])))",
"legendFormat": "P95 consensus.ledger_close"
}
],
"fieldConfig": {
"defaults": {
"unit": "ms",
"custom": {
"axisLabel": "Duration (ms)",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
}
],
"schemaVersion": 39,
"tags": [
"rippled",
"ledger",
"telemetry"
],
"templating": {
"list": [
{
"name": "node",
"label": "Node",
"description": "Filter by rippled node (service.instance.id \u2014 defaults to node public key)",
"type": "query",
"query": "label_values(traces_span_metrics_calls_total, service_instance_id)",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"includeAll": true,
"allValue": ".*",
"current": {
"text": "All",
"value": "$__all"
},
"multi": true,
"refresh": 2,
"sort": 1
}
]
},
"time": {
"from": "now-1h",
"to": "now"
},
"title": "rippled Ledger Operations",
"uid": "rippled-ledger-ops"
}

View File

@@ -0,0 +1,199 @@
{
"annotations": {
"list": []
},
"description": "Requires trace_peer=1 in the [telemetry] config section.",
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 1,
"id": null,
"links": [],
"panels": [
{
"title": "Peer Proposal Receive Rate",
"description": "Rate of consensus proposals received from network peers. The peer.proposal.receive span (PeerImp.cpp:1667) fires in onMessage(TMProposeSet) for each incoming proposal. Records xrpl.peer.id (sending peer) and xrpl.peer.proposal.trusted (whether the proposer is in our UNL). Requires trace_peer=1 in the telemetry config.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 0
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"peer.proposal.receive\"}[5m]))",
"legendFormat": "Proposals Received / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops",
"custom": {
"axisLabel": "Proposals / Sec",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Peer Validation Receive Rate",
"description": "Rate of ledger validations received from network peers. The peer.validation.receive span (PeerImp.cpp:2264) fires in onMessage(TMValidation) for each incoming validation message. Records xrpl.peer.id (sending peer) and xrpl.peer.validation.trusted (whether the validator is trusted). Requires trace_peer=1 in the telemetry config.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 0
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"peer.validation.receive\"}[5m]))",
"legendFormat": "Validations Received / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops",
"custom": {
"axisLabel": "Validations / Sec",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Proposals Trusted vs Untrusted",
"description": "Pie chart showing the ratio of proposals received from trusted validators (in our UNL) vs untrusted validators. Grouped by the xrpl.peer.proposal.trusted span attribute (true/false). A healthy node connected to a well-configured UNL should see a significant portion of trusted proposals. Note: proposals that fail early validation may not have the trusted attribute set.",
"type": "piechart",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 8
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum by (xrpl_peer_proposal_trusted) (rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"peer.proposal.receive\"}[5m]))",
"legendFormat": "Trusted = {{xrpl_peer_proposal_trusted}}"
}
]
},
{
"title": "Validations Trusted vs Untrusted",
"description": "Pie chart showing the ratio of validations received from trusted validators (in our UNL) vs untrusted validators. Grouped by the xrpl.peer.validation.trusted span attribute (true/false). Monitoring this helps detect if the node is receiving validations from the expected set of trusted validators. Note: validations that fail early checks may not have the trusted attribute set.",
"type": "piechart",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 8
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum by (xrpl_peer_validation_trusted) (rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"peer.validation.receive\"}[5m]))",
"legendFormat": "Trusted = {{xrpl_peer_validation_trusted}}"
}
]
}
],
"schemaVersion": 39,
"tags": [
"rippled",
"peer",
"telemetry"
],
"templating": {
"list": [
{
"name": "node",
"label": "Node",
"description": "Filter by rippled node (service.instance.id \u2014 defaults to node public key)",
"type": "query",
"query": "label_values(traces_span_metrics_calls_total, service_instance_id)",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"includeAll": true,
"allValue": ".*",
"current": {
"text": "All",
"value": "$__all"
},
"multi": true,
"refresh": 2,
"sort": 1
},
{
"name": "proposal_trusted",
"label": "Proposal Trusted",
"description": "Filter by proposal trust status (true = from trusted validator)",
"type": "query",
"query": "label_values(traces_span_metrics_calls_total{span_name=\"peer.proposal.receive\"}, xrpl_peer_proposal_trusted)",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"includeAll": true,
"allValue": ".*",
"current": {
"text": "All",
"value": "$__all"
},
"multi": true,
"refresh": 2,
"sort": 1
}
]
},
"time": {
"from": "now-1h",
"to": "now"
},
"title": "rippled Peer Network",
"uid": "rippled-peer-net"
}

View File

@@ -0,0 +1,380 @@
{
"annotations": {
"list": []
},
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 1,
"id": null,
"links": [],
"panels": [
{
"title": "RPC Request Rate by Command",
"description": "Per-second rate of RPC command executions, broken down by command name (e.g. server_info, submit). Calculated as rate(traces_span_metrics_calls_total{span_name=~\"rpc.command.*\"}) over a 5m window, grouped by the xrpl.rpc.command span attribute.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 0
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum by (xrpl_rpc_command) (rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=~\"rpc.command.*\"}[5m]))",
"legendFormat": "{{xrpl_rpc_command}}"
}
],
"fieldConfig": {
"defaults": {
"unit": "reqps",
"custom": {
"axisLabel": "Requests / Sec",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "RPC Latency p95 by Command",
"description": "95th percentile response time for each RPC command. Computed from the spanmetrics duration histogram using histogram_quantile(0.95) over rpc.command.* spans, grouped by xrpl.rpc.command. High values indicate slow commands that may need optimization.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 0
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "histogram_quantile(0.95, sum by (le, xrpl_rpc_command) (rate(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=~\"rpc.command.*\"}[5m])))",
"legendFormat": "P95 {{xrpl_rpc_command}}"
}
],
"fieldConfig": {
"defaults": {
"unit": "ms",
"custom": {
"axisLabel": "Latency (ms)",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "RPC Error Rate",
"description": "Percentage of RPC commands that completed with an error status, per command. Calculated as (error calls / total calls) * 100, where errors have status_code=STATUS_CODE_ERROR. Thresholds: green < 1%, yellow 1-5%, red > 5%.",
"type": "bargauge",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 8
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum by (xrpl_rpc_command) (rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=~\"rpc.command.*\", status_code=\"STATUS_CODE_ERROR\"}[5m])) / sum by (xrpl_rpc_command) (rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=~\"rpc.command.*\"}[5m])) * 100",
"legendFormat": "{{xrpl_rpc_command}}"
}
],
"fieldConfig": {
"defaults": {
"unit": "percent",
"thresholds": {
"steps": [
{
"color": "green",
"value": null
},
{
"color": "yellow",
"value": 1
},
{
"color": "red",
"value": 5
}
]
}
},
"overrides": []
}
},
{
"title": "RPC Latency Heatmap",
"description": "Distribution of RPC command response times across histogram buckets. Shows the density of requests at each latency level over time. Each cell represents the count of requests that fell into that duration bucket in a 5m window. Useful for spotting bimodal latency patterns.",
"type": "heatmap",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 8
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
},
"yAxis": {
"axisLabel": "Duration (ms)"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(increase(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=~\"rpc.command.*\"}[5m])) by (le)",
"legendFormat": "{{le}}",
"format": "heatmap"
}
]
},
{
"title": "Overall RPC Throughput",
"description": "Aggregate RPC throughput showing two layers of the request pipeline. rpc.request is the outer HTTP handler (ServerHandler.cpp:271) that accepts incoming connections. rpc.process is the inner processing layer (ServerHandler.cpp:573) that parses and dispatches. A gap between the two indicates requests being queued or rejected before processing.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 16
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=\"rpc.request\"}[5m]))",
"legendFormat": "rpc.request / Sec"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=\"rpc.process\"}[5m]))",
"legendFormat": "rpc.process / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "reqps",
"custom": {
"axisLabel": "Requests / Sec",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "RPC Success vs Error",
"description": "Aggregate rate of successful vs failed RPC commands across all command types. Success = status_code UNSET (OpenTelemetry default for OK spans). Error = status_code STATUS_CODE_ERROR. A sustained error rate warrants investigation via per-command breakdown above.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 16
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=~\"rpc.command.*\", status_code=\"STATUS_CODE_UNSET\"}[5m]))",
"legendFormat": "Success"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=~\"rpc.command.*\", status_code=\"STATUS_CODE_ERROR\"}[5m]))",
"legendFormat": "Error"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops",
"custom": {
"axisLabel": "Commands / Sec",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Top Commands by Volume",
"description": "Top 10 most frequently called RPC commands by total invocation count over the last 5 minutes. Uses topk(10, increase(calls_total)) to rank commands. Helps identify the hottest API endpoints driving load on the node.",
"type": "bargauge",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 24
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "topk(10, sum by (xrpl_rpc_command) (increase(traces_span_metrics_calls_total{service_instance_id=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=~\"rpc.command.*\"}[5m])))",
"legendFormat": "{{xrpl_rpc_command}}"
}
],
"fieldConfig": {
"defaults": {
"unit": "short"
},
"overrides": []
}
},
{
"title": "WebSocket Message Rate",
"description": "Rate of incoming WebSocket RPC messages processed by the server. Sourced from the rpc.ws_message span (ServerHandler.cpp:384). Only active when clients connect via WebSocket instead of HTTP. Zero is normal if only HTTP RPC is in use.",
"type": "stat",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 24
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", xrpl_rpc_command=~\"$command\", span_name=\"rpc.ws_message\"}[5m]))",
"legendFormat": "WS Messages / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops"
},
"overrides": []
}
}
],
"schemaVersion": 39,
"tags": [
"rippled",
"rpc",
"telemetry"
],
"templating": {
"list": [
{
"name": "node",
"label": "Node",
"description": "Filter by rippled node (service.instance.id \u2014 defaults to node public key)",
"type": "query",
"query": "label_values(traces_span_metrics_calls_total, service_instance_id)",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"includeAll": true,
"allValue": ".*",
"current": {
"text": "All",
"value": "$__all"
},
"multi": true,
"refresh": 2,
"sort": 1
},
{
"name": "command",
"label": "RPC Command",
"description": "Filter by RPC command name (e.g., server_info, submit)",
"type": "query",
"query": "label_values(traces_span_metrics_calls_total{span_name=~\"rpc.command.*\"}, xrpl_rpc_command)",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"includeAll": true,
"allValue": ".*",
"current": {
"text": "All",
"value": "$__all"
},
"multi": true,
"refresh": 2,
"sort": 1
}
]
},
"time": {
"from": "now-1h",
"to": "now"
},
"title": "rippled RPC Performance",
"uid": "rippled-rpc-perf"
}

View File

@@ -0,0 +1,470 @@
{
"annotations": { "list": [] },
"description": "Network traffic and peer metrics from beast::insight StatsD. Requires [insight] server=statsd in rippled config.",
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 1,
"id": null,
"links": [],
"panels": [
{
"title": "Active Peers",
"description": "Number of active inbound and outbound peer connections. Sourced from Peer_Finder.Active_Inbound_Peers and Peer_Finder.Active_Outbound_Peers gauges (PeerfinderManager.cpp:214-215). A healthy mainnet node typically has 10-21 outbound and 0-85 inbound peers depending on configuration.",
"type": "timeseries",
"gridPos": { "h": 8, "w": 12, "x": 0, "y": 0 },
"options": {
"tooltip": { "mode": "multi", "sort": "desc" }
},
"targets": [
{
"datasource": { "type": "prometheus" },
"expr": "rippled_Peer_Finder_Active_Inbound_Peers",
"legendFormat": "Inbound Peers"
},
{
"datasource": { "type": "prometheus" },
"expr": "rippled_Peer_Finder_Active_Outbound_Peers",
"legendFormat": "Outbound Peers"
}
],
"fieldConfig": {
"defaults": {
"unit": "short",
"custom": {
"axisLabel": "Peers",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Peer Disconnects",
"description": "Cumulative count of peer disconnections. Sourced from the Overlay.Peer_Disconnects gauge (OverlayImpl.h:557). A rising trend indicates network instability, aggressive peer management, or resource exhaustion causing connection drops.",
"type": "timeseries",
"gridPos": { "h": 8, "w": 12, "x": 12, "y": 0 },
"options": {
"tooltip": { "mode": "multi", "sort": "desc" }
},
"targets": [
{
"datasource": { "type": "prometheus" },
"expr": "rippled_Overlay_Peer_Disconnects",
"legendFormat": "Disconnects"
}
],
"fieldConfig": {
"defaults": {
"unit": "short",
"custom": {
"axisLabel": "Disconnects",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Total Network Bytes",
"description": "Total bytes sent and received across all peer connections. Sourced from the total.Bytes_In and total.Bytes_Out traffic category gauges (OverlayImpl.h:535-548). Provides a high-level view of network bandwidth consumption.",
"type": "timeseries",
"gridPos": { "h": 8, "w": 12, "x": 0, "y": 8 },
"options": {
"tooltip": { "mode": "multi", "sort": "desc" }
},
"targets": [
{
"datasource": { "type": "prometheus" },
"expr": "rippled_total_Bytes_In",
"legendFormat": "Bytes In"
},
{
"datasource": { "type": "prometheus" },
"expr": "rippled_total_Bytes_Out",
"legendFormat": "Bytes Out"
}
],
"fieldConfig": {
"defaults": {
"unit": "decbytes",
"custom": {
"axisLabel": "Bytes",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Total Network Messages",
"description": "Total messages sent and received across all peer connections. Sourced from the total.Messages_In and total.Messages_Out traffic category gauges (OverlayImpl.h:535-548). Shows the overall message throughput of the overlay network.",
"type": "timeseries",
"gridPos": { "h": 8, "w": 12, "x": 12, "y": 8 },
"options": {
"tooltip": { "mode": "multi", "sort": "desc" }
},
"targets": [
{
"datasource": { "type": "prometheus" },
"expr": "rippled_total_Messages_In",
"legendFormat": "Messages In"
},
{
"datasource": { "type": "prometheus" },
"expr": "rippled_total_Messages_Out",
"legendFormat": "Messages Out"
}
],
"fieldConfig": {
"defaults": {
"unit": "short",
"custom": {
"axisLabel": "Messages",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Transaction Traffic",
"description": "Bytes and messages for transaction-related overlay traffic. Includes the transactions traffic category (OverlayImpl/TrafficCount.h). Spikes indicate high transaction volume on the network or transaction flooding.",
"type": "timeseries",
"gridPos": { "h": 8, "w": 12, "x": 0, "y": 16 },
"options": {
"tooltip": { "mode": "multi", "sort": "desc" }
},
"targets": [
{
"datasource": { "type": "prometheus" },
"expr": "rippled_transactions_Messages_In",
"legendFormat": "TX Messages In"
},
{
"datasource": { "type": "prometheus" },
"expr": "rippled_transactions_Messages_Out",
"legendFormat": "TX Messages Out"
},
{
"datasource": { "type": "prometheus" },
"expr": "rippled_transactions_duplicate_Messages_In",
"legendFormat": "TX Duplicate In"
}
],
"fieldConfig": {
"defaults": {
"unit": "short",
"custom": {
"axisLabel": "Messages",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Proposal Traffic",
"description": "Messages for consensus proposal overlay traffic. Includes proposals, proposals_untrusted, and proposals_duplicate categories (TrafficCount.h). High untrusted or duplicate counts may indicate UNL misconfiguration or network spam.",
"type": "timeseries",
"gridPos": { "h": 8, "w": 12, "x": 12, "y": 16 },
"options": {
"tooltip": { "mode": "multi", "sort": "desc" }
},
"targets": [
{
"datasource": { "type": "prometheus" },
"expr": "rippled_proposals_Messages_In",
"legendFormat": "Proposals In"
},
{
"datasource": { "type": "prometheus" },
"expr": "rippled_proposals_Messages_Out",
"legendFormat": "Proposals Out"
},
{
"datasource": { "type": "prometheus" },
"expr": "rippled_proposals_untrusted_Messages_In",
"legendFormat": "Untrusted In"
},
{
"datasource": { "type": "prometheus" },
"expr": "rippled_proposals_duplicate_Messages_In",
"legendFormat": "Duplicate In"
}
],
"fieldConfig": {
"defaults": {
"unit": "short",
"custom": {
"axisLabel": "Messages",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Validation Traffic",
"description": "Messages for validation overlay traffic. Includes validations, validations_untrusted, and validations_duplicate categories (TrafficCount.h). Monitoring trusted vs untrusted validation traffic helps detect UNL health issues.",
"type": "timeseries",
"gridPos": { "h": 8, "w": 12, "x": 0, "y": 24 },
"options": {
"tooltip": { "mode": "multi", "sort": "desc" }
},
"targets": [
{
"datasource": { "type": "prometheus" },
"expr": "rippled_validations_Messages_In",
"legendFormat": "Validations In"
},
{
"datasource": { "type": "prometheus" },
"expr": "rippled_validations_Messages_Out",
"legendFormat": "Validations Out"
},
{
"datasource": { "type": "prometheus" },
"expr": "rippled_validations_untrusted_Messages_In",
"legendFormat": "Untrusted In"
},
{
"datasource": { "type": "prometheus" },
"expr": "rippled_validations_duplicate_Messages_In",
"legendFormat": "Duplicate In"
}
],
"fieldConfig": {
"defaults": {
"unit": "short",
"custom": {
"axisLabel": "Messages",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Overlay Traffic by Category (Bytes In)",
"description": "Top traffic categories by inbound bytes. Includes all 57 overlay traffic categories from TrafficCount.h. Shows which protocol message types consume the most bandwidth. Categories include transactions, proposals, validations, ledger data, getobject, and overlay overhead.",
"type": "bargauge",
"gridPos": { "h": 8, "w": 12, "x": 12, "y": 24 },
"options": {
"tooltip": { "mode": "multi", "sort": "desc" }
},
"targets": [
{
"datasource": { "type": "prometheus" },
"expr": "topk(10, {__name__=~\"rippled_.*_Bytes_In\", __name__!~\"rippled_total_.*\"})",
"legendFormat": "{{__name__}}"
}
],
"fieldConfig": {
"defaults": {
"unit": "decbytes"
},
"overrides": [
{
"matcher": {
"id": "byName",
"options": "rippled_transactions_Bytes_In"
},
"properties": [{ "id": "displayName", "value": "Transactions" }]
},
{
"matcher": {
"id": "byName",
"options": "rippled_proposals_Bytes_In"
},
"properties": [{ "id": "displayName", "value": "Proposals" }]
},
{
"matcher": {
"id": "byName",
"options": "rippled_validations_Bytes_In"
},
"properties": [{ "id": "displayName", "value": "Validations" }]
},
{
"matcher": {
"id": "byName",
"options": "rippled_overhead_Bytes_In"
},
"properties": [{ "id": "displayName", "value": "Overhead" }]
},
{
"matcher": {
"id": "byName",
"options": "rippled_overhead_overlay_Bytes_In"
},
"properties": [{ "id": "displayName", "value": "Overhead Overlay" }]
},
{
"matcher": { "id": "byName", "options": "rippled_ping_Bytes_In" },
"properties": [{ "id": "displayName", "value": "Ping" }]
},
{
"matcher": { "id": "byName", "options": "rippled_status_Bytes_In" },
"properties": [{ "id": "displayName", "value": "Status" }]
},
{
"matcher": {
"id": "byName",
"options": "rippled_getObject_Bytes_In"
},
"properties": [{ "id": "displayName", "value": "Get Object" }]
},
{
"matcher": {
"id": "byName",
"options": "rippled_haveTxSet_Bytes_In"
},
"properties": [{ "id": "displayName", "value": "Have Tx Set" }]
},
{
"matcher": {
"id": "byName",
"options": "rippled_ledgerData_Bytes_In"
},
"properties": [{ "id": "displayName", "value": "Ledger Data" }]
},
{
"matcher": {
"id": "byName",
"options": "rippled_ledger_share_Bytes_In"
},
"properties": [{ "id": "displayName", "value": "Ledger Share" }]
},
{
"matcher": {
"id": "byName",
"options": "rippled_ledger_data_get_Bytes_In"
},
"properties": [{ "id": "displayName", "value": "Ledger Data Get" }]
},
{
"matcher": {
"id": "byName",
"options": "rippled_ledger_data_share_Bytes_In"
},
"properties": [
{ "id": "displayName", "value": "Ledger Data Share" }
]
},
{
"matcher": {
"id": "byName",
"options": "rippled_ledger_data_Account_State_Node_get_Bytes_In"
},
"properties": [
{ "id": "displayName", "value": "Account State Node Get" }
]
},
{
"matcher": {
"id": "byName",
"options": "rippled_ledger_data_Account_State_Node_share_Bytes_In"
},
"properties": [
{ "id": "displayName", "value": "Account State Node Share" }
]
},
{
"matcher": {
"id": "byName",
"options": "rippled_ledger_data_Transaction_Node_get_Bytes_In"
},
"properties": [
{ "id": "displayName", "value": "Transaction Node Get" }
]
},
{
"matcher": {
"id": "byName",
"options": "rippled_ledger_data_Transaction_Node_share_Bytes_In"
},
"properties": [
{ "id": "displayName", "value": "Transaction Node Share" }
]
},
{
"matcher": {
"id": "byName",
"options": "rippled_ledger_data_Transaction_Set_candidate_get_Bytes_In"
},
"properties": [
{ "id": "displayName", "value": "Tx Set Candidate Get" }
]
},
{
"matcher": {
"id": "byName",
"options": "rippled_ledger_Account_State_node_share_Bytes_In"
},
"properties": [
{
"id": "displayName",
"value": "Account State Node Share (Legacy)"
}
]
},
{
"matcher": {
"id": "byName",
"options": "rippled_ledger_Transaction_Set_candidate_share_Bytes_In"
},
"properties": [
{ "id": "displayName", "value": "Tx Set Candidate Share" }
]
},
{
"matcher": {
"id": "byName",
"options": "rippled_ledger_Transaction_node_share_Bytes_In"
},
"properties": [
{
"id": "displayName",
"value": "Transaction Node Share (Legacy)"
}
]
},
{
"matcher": {
"id": "byName",
"options": "rippled_set_get_Bytes_In"
},
"properties": [{ "id": "displayName", "value": "Set Get" }]
}
]
}
}
],
"schemaVersion": 39,
"tags": ["rippled", "statsd", "network", "telemetry"],
"templating": { "list": [] },
"time": { "from": "now-1h", "to": "now" },
"title": "rippled Network Traffic (StatsD)",
"uid": "rippled-statsd-network"
}

View File

@@ -0,0 +1,415 @@
{
"annotations": {
"list": []
},
"description": "Node health metrics from beast::insight StatsD. Requires [insight] server=statsd in rippled config.",
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 1,
"id": null,
"links": [],
"panels": [
{
"title": "Validated Ledger Age",
"description": "Age of the most recently validated ledger in seconds. Sourced from the LedgerMaster.Validated_Ledger_Age gauge (LedgerMaster.h:373) which is updated every collection interval via the insight hook. Values above 20s indicate the node is falling behind the network.",
"type": "stat",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 0
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_LedgerMaster_Validated_Ledger_Age",
"legendFormat": "Validated Age"
}
],
"fieldConfig": {
"defaults": {
"unit": "s",
"thresholds": {
"steps": [
{
"color": "green",
"value": null
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{
"color": "yellow",
"value": 10
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{
"color": "red",
"value": 20
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]
}
},
"overrides": []
}
},
{
"title": "Published Ledger Age",
"description": "Age of the most recently published ledger in seconds. Sourced from the LedgerMaster.Published_Ledger_Age gauge (LedgerMaster.h:374). Published ledger age should track close to validated ledger age. A growing gap indicates publish pipeline backlog.",
"type": "stat",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 0
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"options": {
"tooltip": {
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"sort": "desc"
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},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_LedgerMaster_Published_Ledger_Age",
"legendFormat": "Published Age"
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],
"fieldConfig": {
"defaults": {
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"steps": [
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{
"color": "red",
"value": 20
}
]
}
},
"overrides": []
}
},
{
"title": "Operating Mode Duration",
"description": "Cumulative time spent in each operating mode (Disconnected, Connected, Syncing, Tracking, Full). Sourced from State_Accounting.*_duration gauges (NetworkOPs.cpp:774-778). A healthy node should spend the vast majority of time in Full mode.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 8
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
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},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_State_Accounting_Full_duration",
"legendFormat": "Full"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_State_Accounting_Tracking_duration",
"legendFormat": "Tracking"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_State_Accounting_Syncing_duration",
"legendFormat": "Syncing"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_State_Accounting_Connected_duration",
"legendFormat": "Connected"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_State_Accounting_Disconnected_duration",
"legendFormat": "Disconnected"
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],
"fieldConfig": {
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},
"overrides": []
}
},
{
"title": "Operating Mode Transitions",
"description": "Count of transitions into each operating mode. Sourced from State_Accounting.*_transitions gauges (NetworkOPs.cpp:780-786). Frequent transitions out of Full mode indicate instability. Transitions to Disconnected or Syncing warrant investigation.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 8
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_State_Accounting_Full_transitions",
"legendFormat": "Full"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_State_Accounting_Tracking_transitions",
"legendFormat": "Tracking"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_State_Accounting_Syncing_transitions",
"legendFormat": "Syncing"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_State_Accounting_Connected_transitions",
"legendFormat": "Connected"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_State_Accounting_Disconnected_transitions",
"legendFormat": "Disconnected"
}
],
"fieldConfig": {
"defaults": {
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"custom": {
"axisLabel": "Transitions",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "I/O Latency",
"description": "P95 and P50 of the I/O service loop latency in milliseconds. Sourced from the ios_latency event (Application.cpp:438) which measures how long it takes for the io_context to process a timer callback. Values above 10ms are logged; above 500ms trigger warnings. High values indicate thread pool saturation or blocking operations.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 16
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_ios_latency{quantile=\"0.95\"}",
"legendFormat": "P95 I/O Latency"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_ios_latency{quantile=\"0.5\"}",
"legendFormat": "P50 I/O Latency"
}
],
"fieldConfig": {
"defaults": {
"unit": "ms",
"custom": {
"axisLabel": "Latency (ms)",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Job Queue Depth",
"description": "Current number of jobs waiting in the job queue. Sourced from the job_count gauge (JobQueue.cpp:26). A sustained high value indicates the node cannot process work fast enough \u2014 common during ledger replay or heavy RPC load.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 16
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_job_count",
"legendFormat": "Job Queue Depth"
}
],
"fieldConfig": {
"defaults": {
"unit": "short",
"custom": {
"axisLabel": "Jobs",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Ledger Fetch Rate",
"description": "Rate of ledger fetch requests initiated by the node. Sourced from the ledger_fetches counter (InboundLedgers.cpp:44) which increments each time the node requests a ledger from a peer. High rates indicate the node is catching up or missing ledgers.",
"type": "stat",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 24
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "rate(rippled_ledger_fetches_total[5m])",
"legendFormat": "Fetches / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops"
},
"overrides": []
}
},
{
"title": "Ledger History Mismatches",
"description": "Rate of ledger history hash mismatches. Sourced from the ledger.history.mismatch counter (LedgerHistory.cpp:16) which increments when a built ledger hash does not match the expected validated hash. Non-zero values indicate consensus divergence or database corruption.",
"type": "stat",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 24
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "rate(rippled_ledger_history_mismatch_total[5m])",
"legendFormat": "Mismatches / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops",
"thresholds": {
"steps": [
{
"color": "green",
"value": null
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{
"color": "red",
"value": 0.01
}
]
}
},
"overrides": []
}
}
],
"schemaVersion": 39,
"tags": ["rippled", "statsd", "node-health", "telemetry"],
"templating": {
"list": []
},
"time": {
"from": "now-1h",
"to": "now"
},
"title": "rippled Node Health (StatsD)",
"uid": "rippled-statsd-node-health"
}

View File

@@ -0,0 +1,396 @@
{
"annotations": {
"list": []
},
"description": "RPC and pathfinding metrics from beast::insight StatsD. Requires [insight] server=statsd in rippled config.",
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 1,
"id": null,
"links": [],
"panels": [
{
"title": "RPC Request Rate (StatsD)",
"description": "Rate of RPC requests as counted by the beast::insight counter. Sourced from rpc.requests (ServerHandler.cpp:108) which increments on every HTTP and WebSocket RPC request. Compare with the span-based rpc.request rate in the RPC Performance dashboard for cross-validation.",
"type": "stat",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 0
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "rate(rippled_rpc_requests_total[5m])",
"legendFormat": "Requests / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "reqps"
},
"overrides": []
}
},
{
"title": "RPC Response Time (StatsD)",
"description": "P95 and P50 of RPC response time from the beast::insight timer. Sourced from the rpc.time event (ServerHandler.cpp:110) which records elapsed milliseconds for each RPC response. This measures the full HTTP handler time, not just command execution. Compare with span-based rpc.request duration.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 0
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_rpc_time{quantile=\"0.95\"}",
"legendFormat": "P95 Response Time"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_rpc_time{quantile=\"0.5\"}",
"legendFormat": "P50 Response Time"
}
],
"fieldConfig": {
"defaults": {
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"custom": {
"axisLabel": "Latency (ms)",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "RPC Response Size",
"description": "P95 and P50 of RPC response payload size in bytes. Sourced from the rpc.size event (ServerHandler.cpp:109) which records the byte length of each RPC JSON response. Large responses may indicate expensive queries (e.g. account_tx with many results) or API misuse.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 8
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_rpc_size{quantile=\"0.95\"}",
"legendFormat": "P95 Response Size"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_rpc_size{quantile=\"0.5\"}",
"legendFormat": "P50 Response Size"
}
],
"fieldConfig": {
"defaults": {
"unit": "decbytes",
"custom": {
"axisLabel": "Size (Bytes)",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "RPC Response Time Distribution",
"description": "Distribution of RPC response times from the beast::insight timer showing P50, P90, P95, and P99 quantiles. Sourced from the rpc.time event (ServerHandler.cpp:110). Useful for detecting bimodal latency or long-tail requests.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 8
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_rpc_time{quantile=\"0.5\"}",
"legendFormat": "P50"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_rpc_time{quantile=\"0.9\"}",
"legendFormat": "P90"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_rpc_time{quantile=\"0.95\"}",
"legendFormat": "P95"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_rpc_time{quantile=\"0.99\"}",
"legendFormat": "P99"
}
],
"fieldConfig": {
"defaults": {
"unit": "ms",
"custom": {
"axisLabel": "Latency (ms)",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Pathfinding Fast Duration",
"description": "P95 and P50 of fast pathfinding execution time. Sourced from the pathfind_fast event (PathRequests.h:23) which records the duration of the fast pathfinding algorithm. Fast pathfinding uses a simplified search that trades accuracy for speed.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 16
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_pathfind_fast{quantile=\"0.95\"}",
"legendFormat": "P95 Fast Pathfind"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_pathfind_fast{quantile=\"0.5\"}",
"legendFormat": "P50 Fast Pathfind"
}
],
"fieldConfig": {
"defaults": {
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"custom": {
"axisLabel": "Duration (ms)",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Pathfinding Full Duration",
"description": "P95 and P50 of full pathfinding execution time. Sourced from the pathfind_full event (PathRequests.h:24) which records the duration of the exhaustive pathfinding search. Full pathfinding is more expensive and can take significantly longer than fast mode.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 16
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_pathfind_full{quantile=\"0.95\"}",
"legendFormat": "P95 Full Pathfind"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "rippled_pathfind_full{quantile=\"0.5\"}",
"legendFormat": "P50 Full Pathfind"
}
],
"fieldConfig": {
"defaults": {
"unit": "ms",
"custom": {
"axisLabel": "Duration (ms)",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Resource Warnings Rate",
"description": "Rate of resource warning events from the Resource Manager. Sourced from the warn meter (Logic.h:33) which increments when a consumer (peer or RPC client) exceeds the warning threshold for resource usage. A rising rate indicates aggressive clients that may need throttling. NOTE: This panel will show no data until the |m -> |c fix is applied in StatsDCollector.cpp:706 (Phase 6 Task 6.1).",
"type": "stat",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 24
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "rate(rippled_warn_total[5m])",
"legendFormat": "Warnings / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops",
"thresholds": {
"steps": [
{
"color": "green",
"value": null
},
{
"color": "yellow",
"value": 0.1
},
{
"color": "red",
"value": 1
}
]
}
},
"overrides": []
}
},
{
"title": "Resource Drops Rate",
"description": "Rate of resource drop events from the Resource Manager. Sourced from the drop meter (Logic.h:34) which increments when a consumer is disconnected or blocked due to excessive resource usage. Non-zero values mean the node is actively rejecting abusive connections. NOTE: This panel will show no data until the |m -> |c fix is applied in StatsDCollector.cpp:706 (Phase 6 Task 6.1).",
"type": "stat",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 24
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "rate(rippled_drop_total[5m])",
"legendFormat": "Drops / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops",
"thresholds": {
"steps": [
{
"color": "green",
"value": null
},
{
"color": "yellow",
"value": 0.01
},
{
"color": "red",
"value": 0.1
}
]
}
},
"overrides": []
}
}
],
"schemaVersion": 39,
"tags": ["rippled", "statsd", "rpc", "pathfinding", "telemetry"],
"templating": {
"list": []
},
"time": {
"from": "now-1h",
"to": "now"
},
"title": "rippled RPC & Pathfinding (StatsD)",
"uid": "rippled-statsd-rpc"
}

View File

@@ -0,0 +1,388 @@
{
"annotations": {
"list": []
},
"editable": true,
"fiscalYearStartMonth": 0,
"graphTooltip": 1,
"id": null,
"links": [],
"panels": [
{
"title": "Transaction Processing Rate",
"description": "Rate of transactions entering the processing pipeline. tx.process (NetworkOPs.cpp:1227) fires when a transaction is submitted locally or received from a peer and enters processTransaction(). tx.receive (PeerImp.cpp:1273) fires when a raw transaction message arrives from a peer before deduplication.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 0
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"tx.process\"}[5m]))",
"legendFormat": "tx.process / Sec"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"tx.receive\"}[5m]))",
"legendFormat": "tx.receive / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops",
"custom": {
"axisLabel": "Transactions / Sec",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Transaction Processing Latency",
"description": "p95 and p50 latency of transaction processing (tx.process span). Measures the time from when a transaction enters processTransaction() to completion. Computed via histogram_quantile() over the spanmetrics duration histogram with a 5m rate window.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 0
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "histogram_quantile(0.95, sum by (le) (rate(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", span_name=\"tx.process\"}[5m])))",
"legendFormat": "P95"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "histogram_quantile(0.50, sum by (le) (rate(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", span_name=\"tx.process\"}[5m])))",
"legendFormat": "P50"
}
],
"fieldConfig": {
"defaults": {
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"custom": {
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"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Transaction Path Distribution",
"description": "Breakdown of transactions by origin path. The xrpl.tx.local attribute indicates whether the transaction was submitted locally (true) or received from a peer (false). Helps understand the ratio of locally-originated vs relayed transactions.",
"type": "piechart",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 8
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum by (xrpl_tx_local) (rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"tx.process\"}[5m]))",
"legendFormat": "Local = {{xrpl_tx_local}}"
}
]
},
{
"title": "Transaction Receive vs Suppressed",
"description": "Total rate of raw transaction messages received from peers (tx.receive span from PeerImp.cpp:1273). This fires before deduplication via the HashRouter, so the difference between tx.receive and tx.process reflects suppressed duplicate transactions.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 8
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"tx.receive\"}[5m]))",
"legendFormat": "Total Received"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops",
"custom": {
"axisLabel": "Transactions / Sec",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Transaction Processing Duration Heatmap",
"description": "Heatmap showing the distribution of tx.process span durations across histogram buckets over time. Each cell represents the count of transactions that completed within that latency bucket in a 5m window. Reveals whether processing times are consistent or exhibit multi-modal patterns.",
"type": "heatmap",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 16
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
},
"yAxis": {
"axisLabel": "Duration (ms)"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(increase(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", span_name=\"tx.process\"}[5m])) by (le)",
"legendFormat": "{{le}}",
"format": "heatmap"
}
]
},
{
"title": "Transaction Apply Duration per Ledger",
"description": "p95 and p50 latency of applying the consensus transaction set to a new ledger. The tx.apply span (BuildLedger.cpp:88) wraps the applyTransactions() function that iterates through the CanonicalTXSet and applies each transaction to the OpenView. Long durations indicate heavy transaction sets or expensive transaction processing.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 16
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "histogram_quantile(0.95, sum by (le) (rate(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", span_name=\"tx.apply\"}[5m])))",
"legendFormat": "P95 tx.apply"
},
{
"datasource": {
"type": "prometheus"
},
"expr": "histogram_quantile(0.50, sum by (le) (rate(traces_span_metrics_duration_milliseconds_bucket{service_instance_id=~\"$node\", span_name=\"tx.apply\"}[5m])))",
"legendFormat": "P50 tx.apply"
}
],
"fieldConfig": {
"defaults": {
"unit": "ms",
"custom": {
"axisLabel": "Latency (ms)",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Peer Transaction Receive Rate",
"description": "Rate of transaction messages received from network peers. Sourced from the tx.receive span (PeerImp.cpp:1273) which fires in the onMessage(TMTransaction) handler. High rates may indicate network-wide transaction volume spikes or peer flooding.",
"type": "timeseries",
"gridPos": {
"h": 8,
"w": 12,
"x": 0,
"y": 24
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"tx.receive\"}[5m]))",
"legendFormat": "tx.receive / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops",
"custom": {
"axisLabel": "Transactions / Sec",
"spanNulls": true,
"insertNulls": false,
"showPoints": "auto",
"pointSize": 3
}
},
"overrides": []
}
},
{
"title": "Transaction Apply Failed Rate",
"description": "Rate of tx.apply spans completing with error status, indicating transaction application failures during ledger building. The span records xrpl.ledger.tx_failed as an attribute. Thresholds: green < 0.1/sec, yellow 0.1-1/sec, red > 1/sec. Some failures are normal (e.g. conflicting offers) but sustained high rates may indicate issues.",
"type": "stat",
"gridPos": {
"h": 8,
"w": 12,
"x": 12,
"y": 24
},
"options": {
"tooltip": {
"mode": "multi",
"sort": "desc"
}
},
"targets": [
{
"datasource": {
"type": "prometheus"
},
"expr": "sum(rate(traces_span_metrics_calls_total{service_instance_id=~\"$node\", span_name=\"tx.apply\", status_code=\"STATUS_CODE_ERROR\"}[5m]))",
"legendFormat": "Failed / Sec"
}
],
"fieldConfig": {
"defaults": {
"unit": "ops",
"thresholds": {
"steps": [
{
"color": "green",
"value": null
},
{
"color": "yellow",
"value": 0.1
},
{
"color": "red",
"value": 1
}
]
}
},
"overrides": []
}
}
],
"schemaVersion": 39,
"tags": [
"rippled",
"transactions",
"telemetry"
],
"templating": {
"list": [
{
"name": "node",
"label": "Node",
"description": "Filter by rippled node (service.instance.id \u2014 defaults to node public key)",
"type": "query",
"query": "label_values(traces_span_metrics_calls_total, service_instance_id)",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"includeAll": true,
"allValue": ".*",
"current": {
"text": "All",
"value": "$__all"
},
"multi": true,
"refresh": 2,
"sort": 1
},
{
"name": "tx_origin",
"label": "TX Origin",
"description": "Filter by transaction origin (true = local submit, false = peer relay)",
"type": "query",
"query": "label_values(traces_span_metrics_calls_total{span_name=\"tx.process\"}, xrpl_tx_local)",
"datasource": {
"type": "prometheus",
"uid": "prometheus"
},
"includeAll": true,
"allValue": ".*",
"current": {
"text": "All",
"value": "$__all"
},
"multi": true,
"refresh": 2,
"sort": 1
}
]
},
"time": {
"from": "now-1h",
"to": "now"
},
"title": "rippled Transaction Overview",
"uid": "rippled-transactions"
}

View File

@@ -0,0 +1,12 @@
apiVersion: 1
providers:
- name: rippled-telemetry
orgId: 1
folder: rippled
type: file
disableDeletion: false
editable: true
options:
path: /var/lib/grafana/dashboards
foldersFromFilesStructure: false

View File

@@ -0,0 +1,12 @@
# Grafana datasource provisioning for the rippled telemetry stack.
# Auto-configures Jaeger as a trace data source on Grafana startup.
# Access Grafana at http://localhost:3000, then use Explore -> Jaeger
# to browse rippled traces.
apiVersion: 1
datasources:
- name: Jaeger
type: jaeger
access: proxy
url: http://jaeger:16686

View File

@@ -0,0 +1,24 @@
# Grafana Loki data source provisioning for rippled log-trace correlation.
#
# Phase 8: Log-Trace Correlation and Centralized Log Ingestion
#
# Loki ingests rippled logs via OTel Collector's filelog receiver.
# The derivedFields config links trace_id values in log lines back to
# Tempo traces, enabling one-click log-to-trace navigation in Grafana.
#
# See: OpenTelemetryPlan/Phase8_taskList.md (Tasks 8.2, 8.4)
apiVersion: 1
datasources:
- name: Loki
type: loki
access: proxy
url: http://loki:3100
uid: loki
jsonData:
derivedFields:
- datasourceUid: tempo
matcherRegex: "trace_id=(\\w+)"
name: TraceID
url: "$${__value.raw}"

View File

@@ -0,0 +1,10 @@
apiVersion: 1
datasources:
- name: Prometheus
type: prometheus
uid: prometheus
access: proxy
url: http://prometheus:9090
isDefault: false
editable: true

View File

@@ -0,0 +1,147 @@
# Grafana datasource provisioning for Grafana Tempo.
# Auto-configures Tempo as a trace data source on Grafana startup.
# Access Grafana at http://localhost:3000, then use Explore -> Tempo
# to browse rippled traces using TraceQL.
#
# Search filters provide pre-configured dropdowns in the Explore UI.
# Each phase adds filters for the span attributes it introduces.
# Phase 1b (infra): Base filters — node identity, service, span name, status.
# Phase 2 (RPC): RPC command, status, role filters.
# Phase 3 (TX): Transaction hash, local/peer origin, status.
# Phase 4 (Cons): Consensus mode, round, ledger sequence, close time.
apiVersion: 1
datasources:
- name: Tempo
type: tempo
access: proxy
url: http://tempo:3200
uid: tempo
jsonData:
nodeGraph:
enabled: true
serviceMap:
datasourceUid: prometheus
tracesToMetrics:
datasourceUid: prometheus
spanStartTimeShift: "-1h"
spanEndTimeShift: "1h"
search:
filters:
# --- Node identification filters ---
# service.name: logical service name (default: "rippled").
# Useful when running multiple service types in the same collector.
- id: service-name
tag: service.name
operator: "="
scope: resource
type: static
# service.instance.id: unique node identifier — defaults to the
# node's public key (e.g., nHB1X37...). Distinguishes individual
# nodes in a multi-node cluster or network.
- id: node-id
tag: service.instance.id
operator: "="
scope: resource
type: static
# service.version: rippled build version (e.g., "2.4.0-b1").
# Filter traces from specific software releases.
- id: node-version
tag: service.version
operator: "="
scope: resource
type: dynamic
# xrpl.network.id: numeric network identifier
# (0 = mainnet, 1 = testnet, 2 = devnet, etc.).
- id: network-id
tag: xrpl.network.id
operator: "="
scope: resource
type: dynamic
# xrpl.network.type: human-readable network name
# ("mainnet", "testnet", "devnet", "standalone").
- id: network-type
tag: xrpl.network.type
operator: "="
scope: resource
type: static
# --- Span intrinsic filters ---
- id: span-name
tag: name
operator: "="
scope: intrinsic
type: static
- id: span-status
tag: status
operator: "="
scope: intrinsic
type: static
- id: span-duration
tag: duration
operator: ">"
scope: intrinsic
type: static
# Phase 2: RPC tracing filters
- id: rpc-command
tag: xrpl.rpc.command
operator: "="
scope: span
type: static
- id: rpc-status
tag: xrpl.rpc.status
operator: "="
scope: span
type: dynamic
- id: rpc-role
tag: xrpl.rpc.role
operator: "="
scope: span
type: dynamic
# Phase 3: Transaction tracing filters
- id: tx-hash
tag: xrpl.tx.hash
operator: "="
scope: span
type: static
- id: tx-origin
tag: xrpl.tx.local
operator: "="
scope: span
type: dynamic
- id: tx-status
tag: xrpl.tx.status
operator: "="
scope: span
type: dynamic
# Phase 4: Consensus tracing filters
- id: consensus-mode
tag: xrpl.consensus.mode
operator: "="
scope: span
type: static
- id: consensus-round
tag: xrpl.consensus.round
operator: "="
scope: span
type: dynamic
- id: consensus-ledger-seq
tag: xrpl.consensus.ledger.seq
operator: "="
scope: span
type: static
- id: consensus-close-time-correct
tag: xrpl.consensus.close_time_correct
operator: "="
scope: span
type: dynamic
- id: consensus-state
tag: xrpl.consensus.state
operator: "="
scope: span
type: dynamic
- id: consensus-close-resolution
tag: xrpl.consensus.close_resolution_ms
operator: "="
scope: span
type: dynamic

View File

@@ -0,0 +1,609 @@
#!/usr/bin/env bash
# Integration test for rippled OpenTelemetry instrumentation.
#
# Launches a 6-node xrpld consensus network with telemetry enabled,
# exercises RPC / transaction / consensus code paths, then verifies
# that the expected spans and metrics appear in Jaeger and Prometheus.
#
# Usage:
# bash docker/telemetry/integration-test.sh
#
# Prerequisites:
# - .build/xrpld built with telemetry=ON
# - docker compose (v2)
# - curl, jq
#
# The script leaves the observability stack and xrpld nodes running
# so you can manually inspect Jaeger (localhost:16686) and Grafana
# (localhost:3000). Run with --cleanup to tear down instead.
set -euo pipefail
# ---------------------------------------------------------------------------
# Configuration
# ---------------------------------------------------------------------------
SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)"
REPO_ROOT="$(cd "$SCRIPT_DIR/../.." && pwd)"
XRPLD="$REPO_ROOT/.build/xrpld"
COMPOSE_FILE="$SCRIPT_DIR/docker-compose.yml"
STANDALONE_CFG="$SCRIPT_DIR/xrpld-telemetry.cfg"
WORKDIR="/tmp/xrpld-integration"
NUM_NODES=6
PEER_PORT_BASE=51235
RPC_PORT_BASE=5005
CONSENSUS_TIMEOUT=120
GENESIS_ACCOUNT="rHb9CJAWyB4rj91VRWn96DkukG4bwdtyTh"
GENESIS_SEED="snoPBrXtMeMyMHUVTgbuqAfg1SUTb"
DEST_ACCOUNT="" # Generated dynamically via wallet_propose
JAEGER="http://localhost:16686"
PROM="http://localhost:9090"
# Counters for pass/fail
PASS=0
FAIL=0
# ---------------------------------------------------------------------------
# Helpers
# ---------------------------------------------------------------------------
log() { printf "\033[1;34m[INFO]\033[0m %s\n" "$*"; }
ok() { printf "\033[1;32m[PASS]\033[0m %s\n" "$*"; PASS=$((PASS + 1)); }
fail() { printf "\033[1;31m[FAIL]\033[0m %s\n" "$*"; FAIL=$((FAIL + 1)); }
die() { printf "\033[1;31m[ERROR]\033[0m %s\n" "$*" >&2; exit 1; }
check_span() {
local op="$1"
local count
count=$(curl -sf "$JAEGER/api/traces?service=rippled&operation=$op&limit=5&lookback=1h" \
| jq '.data | length' 2>/dev/null || echo 0)
if [ "$count" -gt 0 ]; then
ok "$op ($count traces)"
else
fail "$op (0 traces)"
fi
}
cleanup() {
log "Cleaning up..."
# Kill xrpld nodes
for i in $(seq 1 "$NUM_NODES"); do
local pidfile="$WORKDIR/node$i/xrpld.pid"
if [ -f "$pidfile" ]; then
kill "$(cat "$pidfile")" 2>/dev/null || true
rm -f "$pidfile"
fi
done
# Also kill any straggling xrpld processes from our workdir
pkill -f "$WORKDIR" 2>/dev/null || true
# Stop docker stack
docker compose -f "$COMPOSE_FILE" down 2>/dev/null || true
# Remove workdir
rm -rf "$WORKDIR"
log "Cleanup complete."
}
# Handle --cleanup flag
if [ "${1:-}" = "--cleanup" ]; then
cleanup
exit 0
fi
# ---------------------------------------------------------------------------
# Step 0: Prerequisites
# ---------------------------------------------------------------------------
log "Checking prerequisites..."
command -v docker >/dev/null 2>&1 || die "docker not found"
docker compose version >/dev/null 2>&1 || die "docker compose (v2) not found"
command -v curl >/dev/null 2>&1 || die "curl not found"
command -v jq >/dev/null 2>&1 || die "jq not found"
[ -x "$XRPLD" ] || die "xrpld binary not found at $XRPLD (build with telemetry=ON)"
[ -f "$COMPOSE_FILE" ] || die "docker-compose.yml not found at $COMPOSE_FILE"
[ -f "$STANDALONE_CFG" ] || die "xrpld-telemetry.cfg not found at $STANDALONE_CFG"
log "All prerequisites met."
# ---------------------------------------------------------------------------
# Step 1: Clean previous run
# ---------------------------------------------------------------------------
log "Cleaning previous run data..."
for i in $(seq 1 "$NUM_NODES"); do
pidfile="$WORKDIR/node$i/xrpld.pid"
if [ -f "$pidfile" ]; then
kill "$(cat "$pidfile")" 2>/dev/null || true
fi
done
pkill -f "$WORKDIR" 2>/dev/null || true
# Kill any xrpld using the standalone config (from key generation)
pkill -f "xrpld-telemetry.cfg" 2>/dev/null || true
sleep 2
rm -rf "$WORKDIR"
mkdir -p "$WORKDIR"
# ---------------------------------------------------------------------------
# Step 2: Start observability stack
# ---------------------------------------------------------------------------
log "Starting observability stack..."
docker compose -f "$COMPOSE_FILE" up -d
log "Waiting for otel-collector to be ready..."
for attempt in $(seq 1 30); do
# The OTLP HTTP endpoint returns 405 for GET (expects POST), which
# means it is listening. curl -sf would fail on 405, so we check
# the HTTP status code explicitly.
status=$(curl -so /dev/null -w '%{http_code}' http://localhost:4318/ 2>/dev/null || echo 000)
if [ "$status" != "000" ]; then
log "otel-collector ready (attempt $attempt, HTTP $status)."
break
fi
if [ "$attempt" -eq 30 ]; then
die "otel-collector not ready after 30s"
fi
sleep 1
done
log "Waiting for Jaeger to be ready..."
for attempt in $(seq 1 30); do
if curl -sf "$JAEGER/" >/dev/null 2>&1; then
log "Jaeger ready (attempt $attempt)."
break
fi
if [ "$attempt" -eq 30 ]; then
die "Jaeger not ready after 30s"
fi
sleep 1
done
# ---------------------------------------------------------------------------
# Step 3: Generate validator keys
# ---------------------------------------------------------------------------
log "Generating $NUM_NODES validator key pairs..."
# Start a temporary standalone xrpld for key generation
TEMP_DATA="$WORKDIR/temp-keygen"
mkdir -p "$TEMP_DATA"
# Create a minimal temp config for key generation
TEMP_CFG="$TEMP_DATA/xrpld.cfg"
cat > "$TEMP_CFG" <<EOCFG
[server]
port_rpc_temp
[port_rpc_temp]
port = 5099
ip = 127.0.0.1
admin = 127.0.0.1
protocol = http
[node_db]
type=NuDB
path=$TEMP_DATA/nudb
online_delete=256
[database_path]
$TEMP_DATA/db
[debug_logfile]
$TEMP_DATA/debug.log
[ssl_verify]
0
EOCFG
"$XRPLD" --conf "$TEMP_CFG" -a --start > "$TEMP_DATA/stdout.log" 2>&1 &
TEMP_PID=$!
log "Temporary xrpld started (PID $TEMP_PID), waiting for RPC..."
for attempt in $(seq 1 30); do
if curl -sf http://localhost:5099 -d '{"method":"server_info"}' >/dev/null 2>&1; then
log "Temporary xrpld RPC ready (attempt $attempt)."
break
fi
if [ "$attempt" -eq 30 ]; then
kill "$TEMP_PID" 2>/dev/null || true
die "Temporary xrpld RPC not ready after 30s"
fi
sleep 1
done
declare -a SEEDS
declare -a PUBKEYS
for i in $(seq 1 "$NUM_NODES"); do
result=$(curl -sf http://localhost:5099 -d '{"method":"validation_create"}')
seed=$(echo "$result" | jq -r '.result.validation_seed')
pubkey=$(echo "$result" | jq -r '.result.validation_public_key')
if [ -z "$seed" ] || [ "$seed" = "null" ]; then
kill "$TEMP_PID" 2>/dev/null || true
die "Failed to generate key pair $i"
fi
SEEDS+=("$seed")
PUBKEYS+=("$pubkey")
log " Node $i: $pubkey"
done
kill "$TEMP_PID" 2>/dev/null || true
wait "$TEMP_PID" 2>/dev/null || true
rm -rf "$TEMP_DATA"
log "Key generation complete."
# ---------------------------------------------------------------------------
# Step 4: Generate node configs and validators.txt
# ---------------------------------------------------------------------------
log "Generating node configs..."
# Create shared validators.txt
VALIDATORS_FILE="$WORKDIR/validators.txt"
{
echo "[validators]"
for i in $(seq 0 $((NUM_NODES - 1))); do
echo "${PUBKEYS[$i]}"
done
} > "$VALIDATORS_FILE"
# Create per-node configs
for i in $(seq 1 "$NUM_NODES"); do
NODE_DIR="$WORKDIR/node$i"
mkdir -p "$NODE_DIR/nudb" "$NODE_DIR/db"
RPC_PORT=$((RPC_PORT_BASE + i - 1))
PEER_PORT=$((PEER_PORT_BASE + i - 1))
SEED="${SEEDS[$((i - 1))]}"
# Build ips_fixed list (all peers except self)
IPS_FIXED=""
for j in $(seq 1 "$NUM_NODES"); do
if [ "$j" -ne "$i" ]; then
IPS_FIXED="${IPS_FIXED}127.0.0.1 $((PEER_PORT_BASE + j - 1))
"
fi
done
cat > "$NODE_DIR/xrpld.cfg" <<EOCFG
[server]
port_rpc
port_peer
[port_rpc]
port = $RPC_PORT
ip = 127.0.0.1
admin = 127.0.0.1
protocol = http
[port_peer]
port = $PEER_PORT
ip = 0.0.0.0
protocol = peer
[node_db]
type=NuDB
path=$NODE_DIR/nudb
online_delete=256
[database_path]
$NODE_DIR/db
[debug_logfile]
$NODE_DIR/debug.log
[validation_seed]
$SEED
[validators_file]
$VALIDATORS_FILE
[ips_fixed]
${IPS_FIXED}
[peer_private]
1
[telemetry]
enabled=1
endpoint=http://localhost:4318/v1/traces
exporter=otlp_http
sampling_ratio=1.0
batch_size=512
batch_delay_ms=2000
max_queue_size=2048
trace_rpc=1
trace_transactions=1
trace_consensus=1
trace_peer=1
trace_ledger=1
[insight]
server=statsd
address=127.0.0.1:8125
prefix=rippled
[rpc_startup]
{ "command": "log_level", "severity": "warning" }
[ssl_verify]
0
EOCFG
log " Node $i config: RPC=$RPC_PORT, Peer=$PEER_PORT"
done
# ---------------------------------------------------------------------------
# Step 5: Start all 6 nodes
# ---------------------------------------------------------------------------
log "Starting $NUM_NODES xrpld nodes..."
for i in $(seq 1 "$NUM_NODES"); do
NODE_DIR="$WORKDIR/node$i"
"$XRPLD" --conf "$NODE_DIR/xrpld.cfg" --start > "$NODE_DIR/stdout.log" 2>&1 &
echo $! > "$NODE_DIR/xrpld.pid"
log " Node $i started (PID $(cat "$NODE_DIR/xrpld.pid"))"
done
# Give nodes a moment to initialize
sleep 5
# ---------------------------------------------------------------------------
# Step 6: Wait for consensus
# ---------------------------------------------------------------------------
log "Waiting for nodes to reach 'proposing' state (timeout: ${CONSENSUS_TIMEOUT}s)..."
start_time=$(date +%s)
nodes_ready=0
while [ "$nodes_ready" -lt "$NUM_NODES" ]; do
elapsed=$(( $(date +%s) - start_time ))
if [ "$elapsed" -ge "$CONSENSUS_TIMEOUT" ]; then
fail "Consensus timeout after ${CONSENSUS_TIMEOUT}s ($nodes_ready/$NUM_NODES nodes ready)"
log "Continuing with partial consensus..."
break
fi
nodes_ready=0
for i in $(seq 1 "$NUM_NODES"); do
RPC_PORT=$((RPC_PORT_BASE + i - 1))
state=$(curl -sf "http://localhost:$RPC_PORT" \
-d '{"method":"server_info"}' 2>/dev/null \
| jq -r '.result.info.server_state' 2>/dev/null || echo "unreachable")
if [ "$state" = "proposing" ]; then
nodes_ready=$((nodes_ready + 1))
fi
done
printf "\r %d/%d nodes proposing (%ds elapsed)..." "$nodes_ready" "$NUM_NODES" "$elapsed"
if [ "$nodes_ready" -lt "$NUM_NODES" ]; then
sleep 3
fi
done
echo ""
if [ "$nodes_ready" -eq "$NUM_NODES" ]; then
ok "All $NUM_NODES nodes reached 'proposing' state"
else
fail "Only $nodes_ready/$NUM_NODES nodes reached 'proposing' state"
fi
# ---------------------------------------------------------------------------
# Step 6b: Wait for validated ledger
# ---------------------------------------------------------------------------
log "Waiting for first validated ledger..."
for attempt in $(seq 1 60); do
val_seq=$(curl -sf "http://localhost:$RPC_PORT_BASE" \
-d '{"method":"server_info"}' 2>/dev/null \
| jq -r '.result.info.validated_ledger.seq // 0' 2>/dev/null || echo 0)
if [ "$val_seq" -gt 2 ] 2>/dev/null; then
ok "First validated ledger: seq $val_seq"
break
fi
if [ "$attempt" -eq 60 ]; then
fail "No validated ledger after 60s"
fi
sleep 1
done
# ---------------------------------------------------------------------------
# Step 7: Exercise RPC spans (Phase 2)
# ---------------------------------------------------------------------------
log "Exercising RPC spans..."
curl -sf "http://localhost:$RPC_PORT_BASE" \
-d '{"method":"server_info"}' > /dev/null
curl -sf "http://localhost:$RPC_PORT_BASE" \
-d '{"method":"server_state"}' > /dev/null
curl -sf "http://localhost:$RPC_PORT_BASE" \
-d '{"method":"ledger","params":[{"ledger_index":"current"}]}' > /dev/null
log "RPC commands sent. Waiting 5s for batch export..."
sleep 5
# ---------------------------------------------------------------------------
# Step 8: Submit transaction (Phase 3)
# ---------------------------------------------------------------------------
log "Submitting Payment transaction..."
# Generate a destination wallet
log " Generating destination wallet..."
wallet_result=$(curl -sf "http://localhost:$RPC_PORT_BASE" \
-d '{"method":"wallet_propose"}')
DEST_ACCOUNT=$(echo "$wallet_result" | jq -r '.result.account_id' 2>/dev/null)
if [ -z "$DEST_ACCOUNT" ] || [ "$DEST_ACCOUNT" = "null" ]; then
fail "Could not generate destination wallet"
DEST_ACCOUNT="rrrrrrrrrrrrrrrrrrrrrhoLvTp" # ACCOUNT_ZERO fallback
fi
log " Destination: $DEST_ACCOUNT"
# Get genesis account info
acct_result=$(curl -sf "http://localhost:$RPC_PORT_BASE" \
-d "{\"method\":\"account_info\",\"params\":[{\"account\":\"$GENESIS_ACCOUNT\"}]}")
seq_num=$(echo "$acct_result" | jq -r '.result.account_data.Sequence' 2>/dev/null || echo "unknown")
log " Genesis account sequence: $seq_num"
# Submit payment
submit_result=$(curl -sf "http://localhost:$RPC_PORT_BASE" -d "{
\"method\": \"submit\",
\"params\": [{
\"secret\": \"$GENESIS_SEED\",
\"tx_json\": {
\"TransactionType\": \"Payment\",
\"Account\": \"$GENESIS_ACCOUNT\",
\"Destination\": \"$DEST_ACCOUNT\",
\"Amount\": \"10000000\"
}
}]
}")
engine_result=$(echo "$submit_result" | jq -r '.result.engine_result' 2>/dev/null || echo "unknown")
tx_hash=$(echo "$submit_result" | jq -r '.result.tx_json.hash' 2>/dev/null || echo "unknown")
if [ "$engine_result" = "tesSUCCESS" ] || [ "$engine_result" = "terQUEUED" ]; then
ok "Transaction submitted: $engine_result (hash: ${tx_hash:0:16}...)"
else
fail "Transaction submission: $engine_result"
log " Full response: $(echo "$submit_result" | jq -c .result 2>/dev/null)"
fi
log "Waiting 15s for consensus round + batch export..."
sleep 15
# ---------------------------------------------------------------------------
# Step 9: Verify Jaeger traces
# ---------------------------------------------------------------------------
log "Verifying spans in Jaeger..."
# Check service registration
services=$(curl -sf "$JAEGER/api/services" | jq -r '.data[]' 2>/dev/null || echo "")
if echo "$services" | grep -q "rippled"; then
ok "Service 'rippled' registered in Jaeger"
else
fail "Service 'rippled' NOT found in Jaeger (found: $services)"
fi
log ""
log "--- Phase 2: RPC Spans ---"
check_span "rpc.request"
check_span "rpc.process"
check_span "rpc.command.server_info"
check_span "rpc.command.server_state"
check_span "rpc.command.ledger"
log ""
log "--- Phase 3: Transaction Spans ---"
check_span "tx.process"
check_span "tx.receive"
check_span "tx.apply"
log ""
log "--- Phase 4: Consensus Spans ---"
check_span "consensus.proposal.send"
check_span "consensus.ledger_close"
check_span "consensus.accept"
check_span "consensus.validation.send"
log ""
log "--- Phase 5: Ledger Spans ---"
check_span "ledger.build"
check_span "ledger.validate"
check_span "ledger.store"
log ""
log "--- Phase 5: Peer Spans (trace_peer=1) ---"
check_span "peer.proposal.receive"
check_span "peer.validation.receive"
# ---------------------------------------------------------------------------
# Step 10: Verify Prometheus spanmetrics
# ---------------------------------------------------------------------------
log ""
log "--- Phase 5: Spanmetrics ---"
log "Waiting 20s for Prometheus scrape cycle..."
sleep 20
calls_count=$(curl -sf "$PROM/api/v1/query?query=traces_span_metrics_calls_total" \
| jq '.data.result | length' 2>/dev/null || echo 0)
if [ "$calls_count" -gt 0 ]; then
ok "Prometheus: traces_span_metrics_calls_total ($calls_count series)"
else
fail "Prometheus: traces_span_metrics_calls_total (0 series)"
fi
duration_count=$(curl -sf "$PROM/api/v1/query?query=traces_span_metrics_duration_milliseconds_count" \
| jq '.data.result | length' 2>/dev/null || echo 0)
if [ "$duration_count" -gt 0 ]; then
ok "Prometheus: duration histogram ($duration_count series)"
else
fail "Prometheus: duration histogram (0 series)"
fi
# Check Grafana
if curl -sf http://localhost:3000/api/health > /dev/null 2>&1; then
ok "Grafana: healthy at localhost:3000"
else
fail "Grafana: not reachable at localhost:3000"
fi
# ---------------------------------------------------------------------------
# Step 10b: Verify StatsD metrics in Prometheus
# ---------------------------------------------------------------------------
log ""
log "--- Phase 6: StatsD Metrics (beast::insight) ---"
log "Waiting 20s for StatsD aggregation + Prometheus scrape..."
sleep 20
check_statsd_metric() {
local metric_name="$1"
local result
result=$(curl -sf "$PROM/api/v1/query?query=$metric_name" \
| jq '.data.result | length' 2>/dev/null || echo 0)
if [ "$result" -gt 0 ]; then
ok "StatsD: $metric_name ($result series)"
else
fail "StatsD: $metric_name (0 series)"
fi
}
# Node health gauges
check_statsd_metric "rippled_LedgerMaster_Validated_Ledger_Age"
check_statsd_metric "rippled_LedgerMaster_Published_Ledger_Age"
check_statsd_metric "rippled_job_count"
# State accounting
check_statsd_metric "rippled_State_Accounting_Full_duration"
# Peer finder
check_statsd_metric "rippled_Peer_Finder_Active_Inbound_Peers"
check_statsd_metric "rippled_Peer_Finder_Active_Outbound_Peers"
# RPC counters (only if RPC was exercised — should be true from Steps 5-8)
check_statsd_metric "rippled_rpc_requests"
# Overlay traffic
check_statsd_metric "rippled_total_Bytes_In"
# ---------------------------------------------------------------------------
# Step 11: Summary
# ---------------------------------------------------------------------------
echo ""
echo "==========================================================="
echo " INTEGRATION TEST RESULTS"
echo "==========================================================="
printf " \033[1;32mPASSED: %d\033[0m\n" "$PASS"
printf " \033[1;31mFAILED: %d\033[0m\n" "$FAIL"
echo "==========================================================="
echo ""
echo " Observability stack is running:"
echo ""
echo " Jaeger UI: http://localhost:16686"
echo " Grafana: http://localhost:3000"
echo " Prometheus: http://localhost:9090"
echo ""
echo " xrpld nodes (6) are running:"
for i in $(seq 1 "$NUM_NODES"); do
RPC_PORT=$((RPC_PORT_BASE + i - 1))
PEER_PORT=$((PEER_PORT_BASE + i - 1))
echo " Node $i: RPC=localhost:$RPC_PORT Peer=:$PEER_PORT PID=$(cat "$WORKDIR/node$i/xrpld.pid" 2>/dev/null || echo 'unknown')"
done
echo ""
echo " To tear down:"
echo " bash docker/telemetry/integration-test.sh --cleanup"
echo ""
echo "==========================================================="
if [ "$FAIL" -gt 0 ]; then
exit 1
fi

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@@ -0,0 +1,88 @@
# OpenTelemetry Collector configuration for rippled development.
#
# Pipelines:
# traces: OTLP receiver -> batch processor -> debug + Jaeger + Tempo + spanmetrics
# metrics: spanmetrics connector + StatsD receiver -> Prometheus exporter
#
# rippled sends traces via OTLP/HTTP to port 4318. The collector batches
# them, forwards to both Jaeger and Tempo, and derives RED metrics via the
# spanmetrics connector, which Prometheus scrapes on port 8889.
#
# rippled also sends beast::insight metrics via StatsD/UDP to port 8125.
# These are ingested by the statsd receiver and merged into the same
# Prometheus endpoint alongside span-derived metrics.
#
# TODO: The Resource Manager's "warn" and "drop" metrics use the non-standard
# "|m" (meter) StatsD type in StatsDCollector.cpp:706. The OTel StatsD
# receiver silently drops "|m" metrics since it only recognizes standard
# types (|c, |g, |ms, |h, |s). To capture these two metrics, change "|m"
# to "|c" in StatsDCollector.cpp — this is a breaking change for any
# backend that relied on the custom "|m" type. Tracked as Phase 6 Task 6.1.
receivers:
otlp:
protocols:
grpc:
endpoint: 0.0.0.0:4317
http:
endpoint: 0.0.0.0:4318
statsd:
endpoint: "0.0.0.0:8125"
aggregation_interval: 15s
enable_metric_type: true
is_monotonic_counter: true
timer_histogram_mapping:
- statsd_type: "timing"
observer_type: "summary"
summary:
percentiles: [0, 50, 90, 95, 99, 100]
- statsd_type: "histogram"
observer_type: "summary"
summary:
percentiles: [0, 50, 90, 95, 99, 100]
processors:
batch:
timeout: 1s
send_batch_size: 100
connectors:
spanmetrics:
# Expose service.instance.id (node public key) as a Prometheus label so
# Grafana dashboards can filter metrics by individual node.
resource_metrics_key_attributes:
- service.instance.id
histogram:
explicit:
buckets: [1ms, 5ms, 10ms, 25ms, 50ms, 100ms, 250ms, 500ms, 1s, 5s]
dimensions:
- name: xrpl.rpc.command
- name: xrpl.rpc.status
- name: xrpl.consensus.mode
- name: xrpl.tx.local
- name: xrpl.peer.proposal.trusted
- name: xrpl.peer.validation.trusted
exporters:
debug:
verbosity: detailed
otlp/jaeger:
endpoint: jaeger:4317
tls:
insecure: true
otlp/tempo:
endpoint: tempo:4317
tls:
insecure: true
prometheus:
endpoint: 0.0.0.0:8889
service:
pipelines:
traces:
receivers: [otlp]
processors: [batch]
exporters: [debug, otlp/jaeger, otlp/tempo, spanmetrics]
metrics:
receivers: [spanmetrics, statsd]
exporters: [prometheus]

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# Prometheus configuration for scraping spanmetrics from OTel Collector.
global:
scrape_interval: 15s
evaluation_interval: 15s
scrape_configs:
- job_name: otel-collector
static_configs:
- targets: ["otel-collector:8889"]

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# Grafana Tempo configuration for rippled telemetry stack.
#
# Runs in single-binary mode for local development.
# Receives traces via OTLP/gRPC from the OTel Collector and stores
# them locally. Queryable via Grafana Explore using the Tempo datasource.
#
# Search filters are configured on the Grafana datasource side
# (grafana/provisioning/datasources/tempo.yaml). Tempo auto-indexes
# all span attributes for search in single-binary mode.
#
# For production, replace local storage with S3/GCS backend and adjust
# retention via the compactor settings. See:
# https://grafana.com/docs/tempo/latest/configuration/
stream_over_http_enabled: true
server:
http_listen_port: 3200
distributor:
receivers:
otlp:
protocols:
grpc:
endpoint: 0.0.0.0:4317
ingester:
max_block_duration: 5m
compactor:
compaction:
block_retention: 1h
# Enable metrics generator for service graph and span metrics.
# Produces RED metrics (rate, errors, duration) per service/span,
# feeding Grafana's service map visualization.
metrics_generator:
registry:
external_labels:
source: tempo
storage:
path: /var/tempo/generator/wal
remote_write:
- url: http://prometheus:9090/api/v1/write
overrides:
defaults:
metrics_generator:
processors:
- service-graphs
- span-metrics
storage:
trace:
backend: local
wal:
path: /var/tempo/wal
local:
path: /var/tempo/blocks

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# Standalone xrpld configuration with OpenTelemetry enabled.
#
# Usage:
# 1. Start the observability stack:
# docker compose -f docker/telemetry/docker-compose.yml up -d
# 2. Run xrpld in standalone mode:
# ./xrpld --conf docker/telemetry/xrpld-telemetry.cfg -a --start
# 3. Send RPC commands to exercise tracing:
# curl -s http://localhost:5005 -d '{"method":"server_info"}'
# 4. View traces in Jaeger UI: http://localhost:16686
[server]
port_rpc_admin_local
port_ws_admin_local
[port_rpc_admin_local]
port = 5005
ip = 127.0.0.1
admin = 127.0.0.1
protocol = http
[port_ws_admin_local]
port = 6006
ip = 127.0.0.1
admin = 127.0.0.1
protocol = ws
[node_db]
type=NuDB
path=./data/nudb
online_delete=256
advisory_delete=0
[database_path]
./data
[debug_logfile]
./data/debug.log
[rpc_startup]
{ "command": "log_level", "severity": "debug" }
[ssl_verify]
0
# --- OpenTelemetry tracing ---
[telemetry]
enabled=1
endpoint=http://localhost:4318/v1/traces
exporter=otlp_http
sampling_ratio=1.0
batch_size=512
batch_delay_ms=5000
max_queue_size=2048
trace_rpc=1
trace_transactions=1
trace_consensus=1
trace_peer=0
trace_ledger=1

278
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# OpenTelemetry Tracing for Rippled
This document explains how to build rippled with OpenTelemetry distributed tracing support, configure the runtime telemetry options, and set up the observability backend to view traces.
- [OpenTelemetry Tracing for Rippled](#opentelemetry-tracing-for-rippled)
- [Overview](#overview)
- [Building with Telemetry](#building-with-telemetry)
- [Summary](#summary)
- [Build steps](#build-steps)
- [Install dependencies](#install-dependencies)
- [Call CMake](#call-cmake)
- [Build](#build)
- [Building without telemetry](#building-without-telemetry)
- [Runtime Configuration](#runtime-configuration)
- [Configuration options](#configuration-options)
- [Observability Stack](#observability-stack)
- [Start the stack](#start-the-stack)
- [Verify the stack](#verify-the-stack)
- [View traces in Jaeger](#view-traces-in-jaeger)
- [Running Tests](#running-tests)
- [Troubleshooting](#troubleshooting)
- [No traces appear in Jaeger](#no-traces-appear-in-jaeger)
- [Conan lockfile error](#conan-lockfile-error)
- [CMake target not found](#cmake-target-not-found)
- [Architecture](#architecture)
- [Key files](#key-files)
- [Conditional compilation](#conditional-compilation)
## Overview
Rippled supports optional [OpenTelemetry](https://opentelemetry.io/) distributed tracing.
When enabled, it instruments RPC requests with trace spans that are exported via
OTLP/HTTP to an OpenTelemetry Collector, which forwards them to a tracing backend
such as Jaeger.
Telemetry is **off by default** at both compile time and runtime:
- **Compile time**: The Conan option `telemetry` and CMake option `telemetry` must be set to `True`/`ON`.
When disabled, all tracing macros compile to `((void)0)` with zero overhead.
- **Runtime**: The `[telemetry]` config section must set `enabled=1`.
When disabled at runtime, a no-op implementation is used.
## Building with Telemetry
### Summary
Follow the same instructions as mentioned in [BUILD.md](../../BUILD.md) but with the following changes:
1. Pass `-o telemetry=True` to `conan install` to pull the `opentelemetry-cpp` dependency.
2. CMake will automatically pick up `telemetry=ON` from the Conan-generated toolchain.
3. Build as usual.
---
### Build steps
```bash
cd /path/to/rippled
rm -rf .build
mkdir .build
cd .build
```
#### Install dependencies
The `telemetry` option adds `opentelemetry-cpp/1.18.0` as a dependency.
If the Conan lockfile does not yet include this package, bypass it with `--lockfile=""`.
```bash
conan install .. \
--output-folder . \
--build missing \
--settings build_type=Debug \
-o telemetry=True \
-o tests=True \
-o xrpld=True \
--lockfile=""
```
> **Note**: The first build with telemetry may take longer as `opentelemetry-cpp`
> and its transitive dependencies are compiled from source.
#### Call CMake
The Conan-generated toolchain file sets `telemetry=ON` automatically.
No additional CMake flags are needed beyond the standard ones.
```bash
cmake .. -G Ninja \
-DCMAKE_TOOLCHAIN_FILE:FILEPATH=build/generators/conan_toolchain.cmake \
-DCMAKE_BUILD_TYPE=Debug \
-Dtests=ON -Dxrpld=ON
```
You should see in the CMake output:
```
-- OpenTelemetry tracing enabled
```
#### Build
```bash
cmake --build . --parallel $(nproc)
```
### Building without telemetry
Omit the `-o telemetry=True` option (or pass `-o telemetry=False`).
The `opentelemetry-cpp` dependency will not be downloaded,
the `XRPL_ENABLE_TELEMETRY` preprocessor define will not be set,
and all tracing macros will compile to no-ops.
The resulting binary is identical to one built before telemetry support was added.
## Runtime Configuration
Add a `[telemetry]` section to your `xrpld.cfg` file:
```ini
[telemetry]
enabled=1
service_name=rippled
endpoint=http://localhost:4318/v1/traces
sampling_ratio=1.0
trace_rpc=1
trace_transactions=1
trace_consensus=1
trace_peer=0
```
### Configuration options
| Option | Type | Default | Description |
| --------------------- | ------ | --------------------------------- | -------------------------------------------------- |
| `enabled` | int | `0` | Enable (`1`) or disable (`0`) telemetry at runtime |
| `service_name` | string | `rippled` | Service name reported in traces |
| `service_instance_id` | string | node public key | Unique instance identifier |
| `exporter` | string | `otlp_http` | Exporter type |
| `endpoint` | string | `http://localhost:4318/v1/traces` | OTLP/HTTP collector endpoint |
| `use_tls` | int | `0` | Enable TLS for the exporter connection |
| `tls_ca_cert` | string | (empty) | Path to CA certificate for TLS |
| `sampling_ratio` | double | `1.0` | Fraction of traces to sample (`0.0` to `1.0`) |
| `batch_size` | uint32 | `512` | Maximum spans per export batch |
| `batch_delay_ms` | uint32 | `5000` | Maximum delay (ms) before flushing a batch |
| `max_queue_size` | uint32 | `2048` | Maximum spans queued in memory |
| `trace_rpc` | int | `1` | Enable RPC request tracing |
| `trace_transactions` | int | `1` | Enable transaction lifecycle tracing |
| `trace_consensus` | int | `1` | Enable consensus round tracing |
| `trace_peer` | int | `0` | Enable peer message tracing (high volume) |
| `trace_ledger` | int | `1` | Enable ledger close tracing |
## Observability Stack
A Docker Compose stack is provided in `docker/telemetry/` with three services:
| Service | Port | Purpose |
| ------------------ | ---------------------------------------------- | ---------------------------------------------------- |
| **OTel Collector** | `4317` (gRPC), `4318` (HTTP), `13133` (health) | Receives OTLP spans, batches, and forwards to Jaeger |
| **Jaeger** | `16686` (UI) | Trace storage and visualization |
| **Grafana** | `3000` | Dashboards (Jaeger pre-configured as datasource) |
### Start the stack
```bash
docker compose -f docker/telemetry/docker-compose.yml up -d
```
### Verify the stack
```bash
# Collector health
curl http://localhost:13133
# Jaeger UI
open http://localhost:16686
# Grafana
open http://localhost:3000
```
### View traces in Jaeger
1. Open `http://localhost:16686` in a browser.
2. Select the service name (e.g. `rippled`) from the **Service** dropdown.
3. Click **Find Traces**.
4. Click into any trace to see the span tree and attributes.
Traced RPC operations produce a span hierarchy like:
```
rpc.request
└── rpc.command.server_info (xrpl.rpc.command=server_info, xrpl.rpc.status=success)
```
Each span includes attributes:
- `xrpl.rpc.command` — the RPC method name
- `xrpl.rpc.version` — API version
- `xrpl.rpc.role``admin` or `user`
- `xrpl.rpc.status``success` or `error`
## Running Tests
Unit tests run with the telemetry-enabled build regardless of whether the
observability stack is running. When no collector is available, the exporter
silently drops spans with no impact on test results.
```bash
# Run all RPC tests
./xrpld --unittest=RPCCall,ServerInfo,AccountTx,LedgerRPC,Transaction --unittest-jobs $(nproc)
# Run the full test suite
./xrpld --unittest --unittest-jobs $(nproc)
```
To generate traces during manual testing, start rippled in standalone mode:
```bash
./xrpld --conf /path/to/xrpld.cfg --standalone --start
```
Then send RPC requests:
```bash
curl -s -X POST http://127.0.0.1:5005/ \
-H "Content-Type: application/json" \
-d '{"method":"server_info","params":[{}]}'
```
## Troubleshooting
### No traces appear in Jaeger
1. Confirm the OTel Collector is running: `docker compose -f docker/telemetry/docker-compose.yml ps`
2. Check collector logs for errors: `docker compose -f docker/telemetry/docker-compose.yml logs otel-collector`
3. Confirm `[telemetry] enabled=1` is set in the rippled config.
4. Confirm `endpoint` points to the correct collector address (`http://localhost:4318/v1/traces`).
5. Wait for the batch delay to elapse (default `5000` ms) before checking Jaeger.
### Conan lockfile error
If you see `ERROR: Requirement 'opentelemetry-cpp/1.18.0' not in lockfile 'requires'`,
the lockfile was generated without the telemetry dependency.
Pass `--lockfile=""` to bypass the lockfile, or regenerate it with telemetry enabled.
### CMake target not found
If CMake reports that `opentelemetry-cpp` targets are not found,
ensure you ran `conan install` with `-o telemetry=True` and that the
Conan-generated toolchain file is being used.
The Conan package provides a single umbrella target
`opentelemetry-cpp::opentelemetry-cpp` (not individual component targets).
## Architecture
### Key files
| File | Purpose |
| ---------------------------------------------- | ----------------------------------------------------------- |
| `include/xrpl/telemetry/Telemetry.h` | Abstract telemetry interface and `Setup` struct |
| `include/xrpl/telemetry/SpanGuard.h` | RAII span guard (activates scope, ends span on destruction) |
| `src/libxrpl/telemetry/Telemetry.cpp` | OTel-backed implementation (`TelemetryImpl`) |
| `src/libxrpl/telemetry/TelemetryConfig.cpp` | Config parser (`setup_Telemetry()`) |
| `src/libxrpl/telemetry/NullTelemetry.cpp` | No-op implementation (used when disabled) |
| `src/xrpld/telemetry/TracingInstrumentation.h` | Convenience macros (`XRPL_TRACE_RPC`, etc.) |
| `src/xrpld/rpc/detail/ServerHandler.cpp` | RPC entry point instrumentation |
| `src/xrpld/rpc/detail/RPCHandler.cpp` | Per-command instrumentation |
| `docker/telemetry/docker-compose.yml` | Observability stack (Collector + Jaeger + Grafana) |
| `docker/telemetry/otel-collector-config.yaml` | OTel Collector pipeline configuration |
### Conditional compilation
All OpenTelemetry SDK headers are guarded behind `#ifdef XRPL_ENABLE_TELEMETRY`.
The instrumentation macros in `TracingInstrumentation.h` compile to `((void)0)` when
the define is absent.
At runtime, if `enabled=0` is set in config (or the section is omitted), a
`NullTelemetry` implementation is used that returns no-op spans.
This two-layer approach ensures zero overhead when telemetry is not wanted.

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# rippled Telemetry Operator Runbook
## Overview
rippled supports OpenTelemetry distributed tracing to provide visibility into RPC requests, transaction processing, and consensus rounds.
## Quick Start
### 1. Start the observability stack
```bash
docker compose -f docker/telemetry/docker-compose.yml up -d
```
This starts:
- **OTel Collector** on ports 4317 (gRPC) and 4318 (HTTP)
- **Jaeger** UI on http://localhost:16686
- **Prometheus** on http://localhost:9090
- **Grafana** on http://localhost:3000
### 2. Enable telemetry in rippled
Add to your `xrpld.cfg`:
```ini
[telemetry]
enabled=1
endpoint=http://localhost:4318/v1/traces
```
### 3. Build with telemetry support
```bash
conan install . --build=missing -o telemetry=True
cmake --preset default -Dtelemetry=ON
cmake --build --preset default
```
## Configuration Reference
| Option | Default | Description |
| -------------------- | --------------------------------- | ----------------------------------------- |
| `enabled` | `0` | Master switch for telemetry |
| `endpoint` | `http://localhost:4318/v1/traces` | OTLP/HTTP endpoint |
| `exporter` | `otlp_http` | Exporter type |
| `sampling_ratio` | `1.0` | Head-based sampling ratio (0.01.0) |
| `trace_rpc` | `1` | Enable RPC request tracing |
| `trace_transactions` | `1` | Enable transaction tracing |
| `trace_consensus` | `1` | Enable consensus tracing |
| `trace_peer` | `0` | Enable peer message tracing (high volume) |
| `trace_ledger` | `1` | Enable ledger tracing |
| `batch_size` | `512` | Max spans per batch export |
| `batch_delay_ms` | `5000` | Delay between batch exports |
| `max_queue_size` | `2048` | Max spans queued before dropping |
| `use_tls` | `0` | Use TLS for exporter connection |
| `tls_ca_cert` | (empty) | Path to CA certificate bundle |
## Span Reference
All spans instrumented in rippled, grouped by subsystem:
### RPC Spans (Phase 2)
| Span Name | Source File | Attributes | Description |
| -------------------- | --------------------- | ---------------------------------------------------------------------------------------------------------------------------- | -------------------------------------------------- |
| `rpc.request` | ServerHandler.cpp:271 | — | Top-level HTTP RPC request |
| `rpc.process` | ServerHandler.cpp:573 | — | RPC processing (child of rpc.request) |
| `rpc.ws_message` | ServerHandler.cpp:384 | — | WebSocket RPC message |
| `rpc.command.<name>` | RPCHandler.cpp:161 | `xrpl.rpc.command`, `xrpl.rpc.version`, `xrpl.rpc.role`, `xrpl.rpc.status`, `xrpl.rpc.duration_ms`, `xrpl.rpc.error_message` | Per-command span (e.g., `rpc.command.server_info`) |
### Transaction Spans (Phase 3)
| Span Name | Source File | Attributes | Description |
| ------------ | ------------------- | ---------------------------------------------------------------------- | ------------------------------------- |
| `tx.process` | NetworkOPs.cpp:1227 | `xrpl.tx.hash`, `xrpl.tx.local`, `xrpl.tx.path` | Transaction submission and processing |
| `tx.receive` | PeerImp.cpp:1273 | `xrpl.peer.id`, `xrpl.tx.hash`, `xrpl.tx.suppressed`, `xrpl.tx.status` | Transaction received from peer relay |
| `tx.apply` | BuildLedger.cpp:88 | `xrpl.ledger.seq`, `xrpl.ledger.tx_count`, `xrpl.ledger.tx_failed` | Transaction set applied per ledger |
### Consensus Spans (Phase 4)
| Span Name | Source File | Attributes | Description |
| --------------------------- | -------------------- | ----------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------ |
| `consensus.proposal.send` | RCLConsensus.cpp:177 | `xrpl.consensus.round` | Consensus proposal broadcast |
| `consensus.ledger_close` | RCLConsensus.cpp:282 | `xrpl.consensus.ledger.seq`, `xrpl.consensus.mode` | Ledger close event |
| `consensus.accept` | RCLConsensus.cpp:395 | `xrpl.consensus.proposers`, `xrpl.consensus.round_time_ms` | Ledger accepted by consensus |
| `consensus.validation.send` | RCLConsensus.cpp:753 | `xrpl.consensus.ledger.seq`, `xrpl.consensus.proposing` | Validation sent after accept |
| `consensus.accept.apply` | RCLConsensus.cpp:453 | `xrpl.consensus.close_time`, `close_time_correct`, `close_resolution_ms`, `state`, `proposing`, `round_time_ms`, `ledger.seq` | Ledger application with close time details |
#### Close Time Queries (Tempo TraceQL)
```
# Find rounds where validators disagreed on close time
{name="consensus.accept.apply"} | xrpl.consensus.close_time_correct = false
# Find consensus failures (moved_on)
{name="consensus.accept.apply"} | xrpl.consensus.state = "moved_on"
# Find slow ledger applications (>5s)
{name="consensus.accept.apply"} | duration > 5s
# Find specific ledger's consensus details
{name="consensus.accept.apply"} | xrpl.consensus.ledger.seq = 92345678
```
### Ledger Spans (Phase 5)
| Span Name | Source File | Attributes | Description |
| ----------------- | -------------------- | ------------------------------------------------------------------ | ----------------------------- |
| `ledger.build` | BuildLedger.cpp:31 | `xrpl.ledger.seq`, `xrpl.ledger.tx_count`, `xrpl.ledger.tx_failed` | Ledger build during consensus |
| `ledger.validate` | LedgerMaster.cpp:915 | `xrpl.ledger.seq`, `xrpl.ledger.validations` | Ledger promoted to validated |
| `ledger.store` | LedgerMaster.cpp:409 | `xrpl.ledger.seq` | Ledger stored in history |
### Peer Spans (Phase 5)
| Span Name | Source File | Attributes | Description |
| ------------------------- | ---------------- | ---------------------------------------------- | ----------------------------- |
| `peer.proposal.receive` | PeerImp.cpp:1667 | `xrpl.peer.id`, `xrpl.peer.proposal.trusted` | Proposal received from peer |
| `peer.validation.receive` | PeerImp.cpp:2264 | `xrpl.peer.id`, `xrpl.peer.validation.trusted` | Validation received from peer |
## Prometheus Metrics (Spanmetrics)
The OTel Collector's spanmetrics connector automatically derives RED (Rate, Errors, Duration) metrics from every span. No custom metrics code is needed in rippled.
### Generated Metric Names
| Prometheus Metric | Type | Description |
| -------------------------------------------------- | --------- | ---------------------------- |
| `traces_span_metrics_calls_total` | Counter | Total span invocations |
| `traces_span_metrics_duration_milliseconds_bucket` | Histogram | Latency distribution buckets |
| `traces_span_metrics_duration_milliseconds_count` | Histogram | Latency observation count |
| `traces_span_metrics_duration_milliseconds_sum` | Histogram | Cumulative latency |
### Metric Labels
Every metric carries these standard labels:
| Label | Source | Example |
| -------------- | ------------------ | ---------------------------------------- |
| `span_name` | Span name | `rpc.command.server_info` |
| `status_code` | Span status | `STATUS_CODE_UNSET`, `STATUS_CODE_ERROR` |
| `service_name` | Resource attribute | `rippled` |
| `span_kind` | Span kind | `SPAN_KIND_INTERNAL` |
Additionally, span attributes configured as dimensions in the collector become metric labels (dots → underscores):
| Span Attribute | Metric Label | Applies To |
| ------------------------------ | ------------------------------ | ------------------------------- |
| `xrpl.rpc.command` | `xrpl_rpc_command` | `rpc.command.*` spans |
| `xrpl.rpc.status` | `xrpl_rpc_status` | `rpc.command.*` spans |
| `xrpl.consensus.mode` | `xrpl_consensus_mode` | `consensus.ledger_close` spans |
| `xrpl.tx.local` | `xrpl_tx_local` | `tx.process` spans |
| `xrpl.peer.proposal.trusted` | `xrpl_peer_proposal_trusted` | `peer.proposal.receive` spans |
| `xrpl.peer.validation.trusted` | `xrpl_peer_validation_trusted` | `peer.validation.receive` spans |
### Histogram Buckets
Configured in `otel-collector-config.yaml`:
```
1ms, 5ms, 10ms, 25ms, 50ms, 100ms, 250ms, 500ms, 1s, 5s
```
## StatsD Metrics (beast::insight)
rippled has a built-in metrics framework (`beast::insight`) that emits StatsD-format metrics over UDP. These complement the span-derived RED metrics by providing system-level gauges, counters, and timers that don't map to individual trace spans.
### Configuration
Add to `xrpld.cfg`:
```ini
[insight]
server=statsd
address=127.0.0.1:8125
prefix=rippled
```
The OTel Collector receives these via a `statsd` receiver on UDP port 8125 and exports them to Prometheus alongside spanmetrics.
### Metric Reference
#### Gauges
| Prometheus Metric | Source | Description |
| --------------------------------------------- | ------------------------- | -------------------------------------------------------------------------- |
| `rippled_LedgerMaster_Validated_Ledger_Age` | LedgerMaster.h:373 | Age of validated ledger (seconds) |
| `rippled_LedgerMaster_Published_Ledger_Age` | LedgerMaster.h:374 | Age of published ledger (seconds) |
| `rippled_State_Accounting_{Mode}_duration` | NetworkOPs.cpp:774 | Time in each operating mode (Disconnected/Connected/Syncing/Tracking/Full) |
| `rippled_State_Accounting_{Mode}_transitions` | NetworkOPs.cpp:780 | Transition count per mode |
| `rippled_Peer_Finder_Active_Inbound_Peers` | PeerfinderManager.cpp:214 | Active inbound peer connections |
| `rippled_Peer_Finder_Active_Outbound_Peers` | PeerfinderManager.cpp:215 | Active outbound peer connections |
| `rippled_Overlay_Peer_Disconnects` | OverlayImpl.h:557 | Peer disconnect count |
| `rippled_job_count` | JobQueue.cpp:26 | Current job queue depth |
| `rippled_{category}_Bytes_In/Out` | OverlayImpl.h:535 | Overlay traffic bytes per category (57 categories) |
| `rippled_{category}_Messages_In/Out` | OverlayImpl.h:535 | Overlay traffic messages per category |
#### Counters
| Prometheus Metric | Source | Description |
| --------------------------------- | --------------------- | ------------------------------ |
| `rippled_rpc_requests` | ServerHandler.cpp:108 | Total RPC request count |
| `rippled_ledger_fetches` | InboundLedgers.cpp:44 | Ledger fetch request count |
| `rippled_ledger_history_mismatch` | LedgerHistory.cpp:16 | Ledger hash mismatch count |
| `rippled_warn` | Logic.h:33 | Resource manager warning count |
| `rippled_drop` | Logic.h:34 | Resource manager drop count |
#### Histograms (from StatsD timers)
| Prometheus Metric | Source | Description |
| ----------------------- | --------------------- | ------------------------------ |
| `rippled_rpc_time` | ServerHandler.cpp:110 | RPC response time (ms) |
| `rippled_rpc_size` | ServerHandler.cpp:109 | RPC response size (bytes) |
| `rippled_ios_latency` | Application.cpp:438 | I/O service loop latency (ms) |
| `rippled_pathfind_fast` | PathRequests.h:23 | Fast pathfinding duration (ms) |
| `rippled_pathfind_full` | PathRequests.h:24 | Full pathfinding duration (ms) |
## Grafana Dashboards
Eight dashboards are pre-provisioned in `docker/telemetry/grafana/dashboards/`:
### RPC Performance (`rippled-rpc-perf`)
| Panel | Type | PromQL | Labels Used |
| --------------------------- | ---------- | -------------------------------------------------------------------------------------------------------------------------------------------------- | --------------------------------- |
| RPC Request Rate by Command | timeseries | `sum by (xrpl_rpc_command) (rate(traces_span_metrics_calls_total{span_name=~"rpc.command.*"}[5m]))` | `xrpl_rpc_command` |
| RPC Latency p95 by Command | timeseries | `histogram_quantile(0.95, sum by (le, xrpl_rpc_command) (rate(traces_span_metrics_duration_milliseconds_bucket{span_name=~"rpc.command.*"}[5m])))` | `xrpl_rpc_command` |
| RPC Error Rate | bargauge | Error spans / total spans × 100, grouped by `xrpl_rpc_command` | `xrpl_rpc_command`, `status_code` |
| RPC Latency Heatmap | heatmap | `sum(increase(traces_span_metrics_duration_milliseconds_bucket{span_name=~"rpc.command.*"}[5m])) by (le)` | `le` (bucket boundaries) |
| Overall RPC Throughput | timeseries | `rpc.request` + `rpc.process` rate | — |
| RPC Success vs Error | timeseries | by `status_code` (UNSET vs ERROR) | `status_code` |
| Top Commands by Volume | bargauge | `topk(10, ...)` by `xrpl_rpc_command` | `xrpl_rpc_command` |
| WebSocket Message Rate | stat | `rpc.ws_message` rate | — |
### Transaction Overview (`rippled-transactions`)
| Panel | Type | PromQL | Labels Used |
| --------------------------------- | ---------- | -------------------------------------------------------------------------------------------- | --------------- |
| Transaction Processing Rate | timeseries | `rate(traces_span_metrics_calls_total{span_name="tx.process"}[5m])` and `tx.receive` | `span_name` |
| Transaction Processing Latency | timeseries | `histogram_quantile(0.95 / 0.50, ... {span_name="tx.process"})` | — |
| Transaction Path Distribution | piechart | `sum by (xrpl_tx_local) (rate(traces_span_metrics_calls_total{span_name="tx.process"}[5m]))` | `xrpl_tx_local` |
| Transaction Receive vs Suppressed | timeseries | `rate(traces_span_metrics_calls_total{span_name="tx.receive"}[5m])` | — |
| TX Processing Duration Heatmap | heatmap | `tx.process` histogram buckets | `le` |
| TX Apply Duration per Ledger | timeseries | p95/p50 of `tx.apply` | — |
| Peer TX Receive Rate | timeseries | `tx.receive` rate | — |
| TX Apply Failed Rate | stat | `tx.apply` with `STATUS_CODE_ERROR` | `status_code` |
### Consensus Health (`rippled-consensus`)
| Panel | Type | PromQL | Labels Used |
| ----------------------------- | ---------- | ---------------------------------------------------------------------------------- | ----------- |
| Consensus Round Duration | timeseries | `histogram_quantile(0.95 / 0.50, ... {span_name="consensus.accept"})` | — |
| Consensus Proposals Sent Rate | timeseries | `rate(traces_span_metrics_calls_total{span_name="consensus.proposal.send"}[5m])` | — |
| Ledger Close Duration | timeseries | `histogram_quantile(0.95, ... {span_name="consensus.ledger_close"})` | — |
| Validation Send Rate | stat | `rate(traces_span_metrics_calls_total{span_name="consensus.validation.send"}[5m])` | — |
| Ledger Apply Duration | timeseries | `histogram_quantile(0.95 / 0.50, ... {span_name="consensus.accept.apply"})` | — |
| Close Time Agreement | timeseries | `rate(traces_span_metrics_calls_total{span_name="consensus.accept.apply"}[5m])` | — |
| Consensus Mode Over Time | timeseries | `consensus.ledger_close` by `xrpl_consensus_mode` | `xrpl_consensus_mode` |
| Accept vs Close Rate | timeseries | `consensus.accept` vs `consensus.ledger_close` rate | — |
| Validation vs Close Rate | timeseries | `consensus.validation.send` vs `consensus.ledger_close` | — |
| Accept Duration Heatmap | heatmap | `consensus.accept` histogram buckets | `le` |
### Ledger Operations (`rippled-ledger-ops`)
| Panel | Type | PromQL | Labels Used |
| ----------------------- | ---------- | ---------------------------------------------- | ----------- |
| Ledger Build Rate | stat | `ledger.build` call rate | — |
| Ledger Build Duration | timeseries | p95/p50 of `ledger.build` | — |
| Ledger Validation Rate | stat | `ledger.validate` call rate | — |
| Build Duration Heatmap | heatmap | `ledger.build` histogram buckets | `le` |
| TX Apply Duration | timeseries | p95/p50 of `tx.apply` | — |
| TX Apply Rate | timeseries | `tx.apply` call rate | — |
| Ledger Store Rate | stat | `ledger.store` call rate | — |
| Build vs Close Duration | timeseries | p95 `ledger.build` vs `consensus.ledger_close` | — |
### Peer Network (`rippled-peer-net`)
Requires `trace_peer=1` in the `[telemetry]` config section.
| Panel | Type | PromQL | Labels Used |
| -------------------------------- | ---------- | --------------------------------- | ------------------------------ |
| Proposal Receive Rate | timeseries | `peer.proposal.receive` rate | — |
| Validation Receive Rate | timeseries | `peer.validation.receive` rate | — |
| Proposals Trusted vs Untrusted | piechart | by `xrpl_peer_proposal_trusted` | `xrpl_peer_proposal_trusted` |
| Validations Trusted vs Untrusted | piechart | by `xrpl_peer_validation_trusted` | `xrpl_peer_validation_trusted` |
### Node Health — StatsD (`rippled-statsd-node-health`)
| Panel | Type | PromQL | Labels Used |
| -------------------------- | ---------- | ------------------------------------------------------ | ----------- |
| Validated Ledger Age | stat | `rippled_LedgerMaster_Validated_Ledger_Age` | — |
| Published Ledger Age | stat | `rippled_LedgerMaster_Published_Ledger_Age` | — |
| Operating Mode Duration | timeseries | `rippled_State_Accounting_*_duration` | — |
| Operating Mode Transitions | timeseries | `rippled_State_Accounting_*_transitions` | — |
| I/O Latency | timeseries | `histogram_quantile(0.95, rippled_ios_latency_bucket)` | — |
| Job Queue Depth | timeseries | `rippled_job_count` | — |
| Ledger Fetch Rate | stat | `rate(rippled_ledger_fetches[5m])` | — |
| Ledger History Mismatches | stat | `rate(rippled_ledger_history_mismatch[5m])` | — |
### Network Traffic — StatsD (`rippled-statsd-network`)
| Panel | Type | PromQL | Labels Used |
| ---------------------- | ---------- | -------------------------------------- | ----------- |
| Active Peers | timeseries | `rippled_Peer_Finder_Active_*_Peers` | — |
| Peer Disconnects | timeseries | `rippled_Overlay_Peer_Disconnects` | — |
| Total Network Bytes | timeseries | `rippled_total_Bytes_In/Out` | — |
| Total Network Messages | timeseries | `rippled_total_Messages_In/Out` | — |
| Transaction Traffic | timeseries | `rippled_transactions_Messages_In/Out` | — |
| Proposal Traffic | timeseries | `rippled_proposals_Messages_In/Out` | — |
| Validation Traffic | timeseries | `rippled_validations_Messages_In/Out` | — |
| Traffic by Category | bargauge | `topk(10, rippled_*_Bytes_In)` | — |
### RPC & Pathfinding — StatsD (`rippled-statsd-rpc`)
| Panel | Type | PromQL | Labels Used |
| ------------------------- | ---------- | -------------------------------------------------------- | ----------- |
| RPC Request Rate | stat | `rate(rippled_rpc_requests[5m])` | — |
| RPC Response Time | timeseries | `histogram_quantile(0.95, rippled_rpc_time_bucket)` | — |
| RPC Response Size | timeseries | `histogram_quantile(0.95, rippled_rpc_size_bucket)` | — |
| RPC Response Time Heatmap | heatmap | `rippled_rpc_time_bucket` | — |
| Pathfinding Fast Duration | timeseries | `histogram_quantile(0.95, rippled_pathfind_fast_bucket)` | — |
| Pathfinding Full Duration | timeseries | `histogram_quantile(0.95, rippled_pathfind_full_bucket)` | — |
| Resource Warnings Rate | stat | `rate(rippled_warn[5m])` | — |
| Resource Drops Rate | stat | `rate(rippled_drop[5m])` | — |
### Span → Metric → Dashboard Summary
| Span Name | Prometheus Metric Filter | Grafana Dashboard |
| --------------------------- | ----------------------------------------- | --------------------------------------------- |
| `rpc.request` | `{span_name="rpc.request"}` | RPC Performance (Overall Throughput) |
| `rpc.process` | `{span_name="rpc.process"}` | RPC Performance (Overall Throughput) |
| `rpc.ws_message` | `{span_name="rpc.ws_message"}` | RPC Performance (WebSocket Rate) |
| `rpc.command.*` | `{span_name=~"rpc.command.*"}` | RPC Performance (Rate, Latency, Error, Top) |
| `tx.process` | `{span_name="tx.process"}` | Transaction Overview (Rate, Latency, Heatmap) |
| `tx.receive` | `{span_name="tx.receive"}` | Transaction Overview (Rate, Receive) |
| `tx.apply` | `{span_name="tx.apply"}` | Transaction Overview + Ledger Ops (Apply) |
| `consensus.accept` | `{span_name="consensus.accept"}` | Consensus Health (Duration, Rate, Heatmap) |
| `consensus.proposal.send` | `{span_name="consensus.proposal.send"}` | Consensus Health (Proposals Rate) |
| `consensus.ledger_close` | `{span_name="consensus.ledger_close"}` | Consensus Health (Close, Mode) |
| `consensus.validation.send` | `{span_name="consensus.validation.send"}` | Consensus Health (Validation Rate) |
| `consensus.accept.apply` | `{span_name="consensus.accept.apply"}` | Consensus Health (Apply Duration, Close Time) |
| `ledger.build` | `{span_name="ledger.build"}` | Ledger Ops (Build Rate, Duration, Heatmap) |
| `ledger.validate` | `{span_name="ledger.validate"}` | Ledger Ops (Validation Rate) |
| `ledger.store` | `{span_name="ledger.store"}` | Ledger Ops (Store Rate) |
| `peer.proposal.receive` | `{span_name="peer.proposal.receive"}` | Peer Network (Rate, Trusted/Untrusted) |
| `peer.validation.receive` | `{span_name="peer.validation.receive"}` | Peer Network (Rate, Trusted/Untrusted) |
## Troubleshooting
### No traces appearing in Jaeger
1. Check rippled logs for `Telemetry starting` message
2. Verify `enabled=1` in the `[telemetry]` config section
3. Test collector connectivity: `curl -v http://localhost:4318/v1/traces`
4. Check collector logs: `docker compose logs otel-collector`
### High memory usage
- Reduce `sampling_ratio` (e.g., `0.1` for 10% sampling)
- Reduce `max_queue_size` and `batch_size`
- Disable high-volume trace categories: `trace_peer=0`
### Collector connection failures
- Verify endpoint URL matches collector address
- Check firewall rules for ports 4317/4318
- If using TLS, verify certificate path with `tls_ca_cert`
## Performance Tuning
| Scenario | Recommendation |
| ------------------------ | ------------------------------------------------- |
| Production mainnet | `sampling_ratio=0.01`, `trace_peer=0` |
| Testnet/devnet | `sampling_ratio=1.0` (full tracing) |
| Debugging specific issue | `sampling_ratio=1.0` temporarily |
| High-throughput node | Increase `batch_size=1024`, `max_queue_size=4096` |
## Disabling Telemetry
Set `enabled=0` in config (runtime disable) or build without the flag:
```bash
cmake --preset default -Dtelemetry=OFF
```
When telemetry is compiled out, all trace macros expand to no-ops with zero overhead.

View File

@@ -1,73 +0,0 @@
#pragma once
#include <xrpl/beast/utility/Journal.h>
#include <chrono>
#include <cstdint>
#include <string_view>
namespace xrpl {
// cSpell:ignore ptmalloc
// -----------------------------------------------------------------------------
// Allocator interaction note:
// - This facility invokes glibc's malloc_trim(0) on Linux/glibc to request that
// ptmalloc return free heap pages to the OS.
// - If an alternative allocator (e.g. jemalloc or tcmalloc) is linked or
// preloaded (LD_PRELOAD), calling glibc's malloc_trim typically has no effect
// on the *active* heap. The call is harmless but may not reclaim memory
// because those allocators manage their own arenas.
// - Only glibc sbrk/arena space is eligible for trimming; large mmap-backed
// allocations are usually returned to the OS on free regardless of trimming.
// - Call at known reclamation points (e.g., after cache sweeps / online delete)
// and consider rate limiting to avoid churn.
// -----------------------------------------------------------------------------
struct MallocTrimReport
{
bool supported{false};
int trimResult{-1};
std::int64_t rssBeforeKB{-1};
std::int64_t rssAfterKB{-1};
std::chrono::microseconds durationUs{-1};
std::int64_t minfltDelta{-1};
std::int64_t majfltDelta{-1};
[[nodiscard]] std::int64_t
deltaKB() const noexcept
{
if (rssBeforeKB < 0 || rssAfterKB < 0)
return 0;
return rssAfterKB - rssBeforeKB;
}
};
/**
* @brief Attempt to return freed memory to the operating system.
*
* On Linux with glibc malloc, this issues ::malloc_trim(0), which may release
* free space from ptmalloc arenas back to the kernel. On other platforms, or if
* a different allocator is in use, this function is a no-op and the report will
* indicate that trimming is unsupported or had no effect.
*
* @param tag Identifier for logging/debugging purposes.
* @param journal Journal for diagnostic logging.
* @return Report containing before/after metrics and the trim result.
*
* @note If an alternative allocator (jemalloc/tcmalloc) is linked or preloaded,
* calling glibc's malloc_trim may have no effect on the active heap. The
* call is harmless but typically does not reclaim memory under those
* allocators.
*
* @note Only memory served from glibc's sbrk/arena heaps is eligible for trim.
* Large allocations satisfied via mmap are usually returned on free
* independently of trimming.
*
* @note Intended for use after operations that free significant memory (e.g.,
* cache sweeps, ledger cleanup, online delete). Consider rate limiting.
*/
MallocTrimReport
mallocTrim(std::string_view tag, beast::Journal journal);
} // namespace xrpl

View File

@@ -1,7 +1,6 @@
#pragma once
#include <string>
#include <string_view>
#include <vector>
namespace beast {
@@ -27,14 +26,14 @@ public:
SemanticVersion();
SemanticVersion(std::string_view version);
SemanticVersion(std::string const& version);
/** Parse a semantic version string.
The parsing is as strict as possible.
@return `true` if the string was parsed.
*/
bool
parse(std::string_view input);
parse(std::string const& input);
/** Produce a string from semantic version components. */
std::string

View File

@@ -19,6 +19,9 @@ class Manager;
namespace perf {
class PerfLog;
}
namespace telemetry {
class Telemetry;
}
// This is temporary until we migrate all code to use ServiceRegistry.
class Application;
@@ -205,6 +208,9 @@ public:
virtual perf::PerfLog&
getPerfLog() = 0;
virtual telemetry::Telemetry&
getTelemetry() = 0;
// Configuration and state
virtual bool
isStopping() const = 0;

View File

@@ -1,13 +0,0 @@
#pragma once
#include <string>
namespace xrpl::git {
std::string const&
getCommitHash();
std::string const&
getBuildBranch();
} // namespace xrpl::git

View File

@@ -23,13 +23,13 @@ public:
static constexpr size_t initialBufferSize = kilobytes(256);
RawStateTable()
: monotonic_resource_{
std::make_unique<boost::container::pmr::monotonic_buffer_resource>(initialBufferSize)}
: monotonic_resource_{std::make_unique<boost::container::pmr::monotonic_buffer_resource>(
initialBufferSize)}
, items_{monotonic_resource_.get()} {};
RawStateTable(RawStateTable const& rhs)
: monotonic_resource_{
std::make_unique<boost::container::pmr::monotonic_buffer_resource>(initialBufferSize)}
: monotonic_resource_{std::make_unique<boost::container::pmr::monotonic_buffer_resource>(
initialBufferSize)}
, items_{rhs.items_, monotonic_resource_.get()}
, dropsDestroyed_{rhs.dropsDestroyed_} {};

View File

@@ -77,16 +77,16 @@ public:
If the object is not found or an error is encountered, the
result will indicate the condition.
@note This will be called concurrently.
@param hash The hash of the object.
@param key A pointer to the key data.
@param pObject [out] The created object if successful.
@return The result of the operation.
*/
virtual Status
fetch(uint256 const& hash, std::shared_ptr<NodeObject>* pObject) = 0;
fetch(void const* key, std::shared_ptr<NodeObject>* pObject) = 0;
/** Fetch a batch synchronously. */
virtual std::pair<std::vector<std::shared_ptr<NodeObject>>, Status>
fetchBatch(std::vector<uint256> const& hashes) = 0;
fetchBatch(std::vector<uint256 const*> const& hashes) = 0;
/** Store a single object.
Depending on the implementation this may happen immediately

View File

@@ -85,6 +85,19 @@ message TMPublicKey {
// If you want to send an amount that is greater than any single address of yours
// you must first combine coins from one address to another.
// Trace context for OpenTelemetry distributed tracing across nodes.
// Uses W3C Trace Context format internally.
message TraceContext {
optional bytes trace_id = 1; // 16-byte trace identifier
optional bytes span_id = 2; // 8-byte parent span identifier
optional uint32 trace_flags = 3; // bit 0 = sampled
// TODO: trace_state is reserved for W3C tracestate vendor-specific
// key-value pairs but is not yet read or written by
// TraceContextPropagator. Wire it when cross-vendor trace
// propagation is needed.
optional string trace_state = 4; // W3C tracestate header value
}
enum TransactionStatus {
tsNEW = 1; // origin node did/could not validate
tsCURRENT = 2; // scheduled to go in this ledger
@@ -101,6 +114,9 @@ message TMTransaction {
required TransactionStatus status = 2;
optional uint64 receiveTimestamp = 3;
optional bool deferred = 4; // not applied to open ledger
// Optional trace context for OpenTelemetry distributed tracing
optional TraceContext trace_context = 1001;
}
message TMTransactions {
@@ -149,6 +165,9 @@ message TMProposeSet {
// Number of hops traveled
optional uint32 hops = 12 [deprecated = true];
// Optional trace context for OpenTelemetry distributed tracing
optional TraceContext trace_context = 1001;
}
enum TxSetStatus {
@@ -194,6 +213,9 @@ message TMValidation {
// Number of hops traveled
optional uint32 hops = 3 [deprecated = true];
// Optional trace context for OpenTelemetry distributed tracing
optional TraceContext trace_context = 1001;
}
// An array of Endpoint messages

View File

@@ -49,7 +49,7 @@ getFullVersionString();
@return the encoded version in a 64-bit integer
*/
std::uint64_t
encodeSoftwareVersion(std::string_view versionStr);
encodeSoftwareVersion(char const* const versionStr);
/** Returns this server's version packed in a 64-bit integer. */
std::uint64_t

View File

@@ -30,11 +30,9 @@ public:
Item(
char const* name,
KeyType type,
std::vector<SOElement> uniqueFields,
std::vector<SOElement> commonFields)
: soTemplate_(std::move(uniqueFields), std::move(commonFields))
, name_(name)
, type_(type)
std::initializer_list<SOElement> uniqueFields,
std::initializer_list<SOElement> commonFields)
: soTemplate_(uniqueFields, commonFields), name_(name), type_(type)
{
// Verify that KeyType is appropriate.
static_assert(
@@ -144,16 +142,16 @@ protected:
@param name The name of this format.
@param type The type of this format.
@param uniqueFields A std::vector of unique fields
@param commonFields A std::vector of common fields
@param uniqueFields An std::initializer_list of unique fields
@param commonFields An std::initializer_list of common fields
@return The created format.
*/
Item const&
add(char const* name,
KeyType type,
std::vector<SOElement> uniqueFields,
std::vector<SOElement> commonFields = {})
std::initializer_list<SOElement> uniqueFields,
std::initializer_list<SOElement> commonFields = {})
{
if (auto const item = findByType(type))
{
@@ -162,7 +160,7 @@ protected:
item->getName());
}
formats_.emplace_front(name, type, std::move(uniqueFields), std::move(commonFields));
formats_.emplace_front(name, type, uniqueFields, commonFields);
Item const& item{formats_.front()};
names_[name] = &item;

View File

@@ -2,34 +2,36 @@
#include <xrpl/protocol/KnownFormats.h>
#include <map>
#include <string>
#include <vector>
namespace xrpl {
/** Identifiers for on-ledger objects.
Each ledger object requires a unique type identifier, which is stored within the object itself;
this makes it possible to iterate the entire ledger and determine each object's type and verify
that the object you retrieved from a given hash matches the expected type.
Each ledger object requires a unique type identifier, which is stored
within the object itself; this makes it possible to iterate the entire
ledger and determine each object's type and verify that the object you
retrieved from a given hash matches the expected type.
@warning Since these values are stored inside objects stored on the ledger they are part of the
protocol.
**Changing them should be avoided because without special handling, this will result in a hard
@warning Since these values are stored inside objects stored on the ledger
they are part of the protocol. **Changing them should be avoided
because without special handling, this will result in a hard
fork.**
@note Values outside this range may be used internally by the code for various purposes, but
attempting to use such values to identify on-ledger objects will result in an invariant failure.
@note Values outside this range may be used internally by the code for
various purposes, but attempting to use such values to identify
on-ledger objects will results in an invariant failure.
@note When retiring types, the specific values should not be removed but should be marked as
[[deprecated]]. This is to avoid accidental reuse of identifiers.
@note When retiring types, the specific values should not be removed but
should be marked as [[deprecated]]. This is to avoid accidental
reuse of identifiers.
@todo The C++ language does not enable checking for duplicate values here.
If it becomes possible then we should do this.
@todo The C++ language does not enable checking for duplicate values
here. If it becomes possible then we should do this.
@ingroup protocol
*/
enum LedgerEntryType : std::uint16_t {
// clang-format off
enum LedgerEntryType : std::uint16_t
{
#pragma push_macro("LEDGER_ENTRY")
#undef LEDGER_ENTRY
@@ -44,10 +46,12 @@ enum LedgerEntryType : std::uint16_t {
//---------------------------------------------------------------------------
/** A special type, matching any ledger entry type.
The value does not represent a concrete type, but rather is used in contexts where the
specific type of a ledger object is unimportant, unknown or unavailable.
The value does not represent a concrete type, but rather is used in
contexts where the specific type of a ledger object is unimportant,
unknown or unavailable.
Objects with this special type cannot be created or stored on the ledger.
Objects with this special type cannot be created or stored on the
ledger.
\sa keylet::unchecked
*/
@@ -55,11 +59,12 @@ enum LedgerEntryType : std::uint16_t {
/** A special type, matching any ledger type except directory nodes.
The value does not represent a concrete type, but rather is used in contexts where the
ledger object must not be a directory node but its specific type is otherwise unimportant,
unknown or unavailable.
The value does not represent a concrete type, but rather is used in
contexts where the ledger object must not be a directory node but
its specific type is otherwise unimportant, unknown or unavailable.
Objects with this special type cannot be created or stored on the ledger.
Objects with this special type cannot be created or stored on the
ledger.
\sa keylet::child
*/
@@ -88,188 +93,104 @@ enum LedgerEntryType : std::uint16_t {
Support for this type of object was never implemented.
No objects of this type were ever created.
*/
ltGENERATOR_MAP [[deprecated("This object type is not supported and should not be used.")]] =
0x0067,
ltGENERATOR_MAP [[deprecated("This object type is not supported and should not be used.")]] = 0x0067,
};
/** Ledger object flags.
These flags are specified in ledger objects and modify their behavior.
@warning Ledger object flags form part of the protocol.
**Changing them should be avoided because without special handling, this will result in a hard
fork.**
@ingroup protocol
*/
#pragma push_macro("XMACRO")
#pragma push_macro("TO_VALUE")
#pragma push_macro("VALUE_TO_MAP")
#pragma push_macro("NULL_NAME")
#pragma push_macro("TO_MAP")
#pragma push_macro("ALL_LEDGER_FLAGS")
#undef XMACRO
#undef TO_VALUE
#undef VALUE_TO_MAP
#undef NULL_NAME
#undef TO_MAP
#undef ALL_LEDGER_FLAGS
// clang-format off
#define XMACRO(LEDGER_OBJECT, LSF_FLAG, LSF_FLAG2) \
LEDGER_OBJECT(AccountRoot, \
LSF_FLAG(lsfPasswordSpent, 0x00010000) /* True, if password set fee is spent. */ \
LSF_FLAG(lsfRequireDestTag, 0x00020000) /* True, to require a DestinationTag for payments. */ \
LSF_FLAG(lsfRequireAuth, 0x00040000) /* True, to require a authorization to hold IOUs. */ \
LSF_FLAG(lsfDisallowXRP, 0x00080000) /* True, to disallow sending XRP. */ \
LSF_FLAG(lsfDisableMaster, 0x00100000) /* True, force regular key */ \
LSF_FLAG(lsfNoFreeze, 0x00200000) /* True, cannot freeze ripple states */ \
LSF_FLAG(lsfGlobalFreeze, 0x00400000) /* True, all assets frozen */ \
LSF_FLAG(lsfDefaultRipple, 0x00800000) /* True, incoming trust lines allow rippling by default */ \
LSF_FLAG(lsfDepositAuth, 0x01000000) /* True, all deposits require authorization */ \
LSF_FLAG(lsfDisallowIncomingNFTokenOffer, 0x04000000) /* True, reject new incoming NFT offers */ \
LSF_FLAG(lsfDisallowIncomingCheck, 0x08000000) /* True, reject new checks */ \
LSF_FLAG(lsfDisallowIncomingPayChan, 0x10000000) /* True, reject new paychans */ \
LSF_FLAG(lsfDisallowIncomingTrustline, 0x20000000) /* True, reject new trustlines (only if no issued assets) */ \
LSF_FLAG(lsfAllowTrustLineLocking, 0x40000000) /* True, enable trustline locking */ \
LSF_FLAG(lsfAllowTrustLineClawback, 0x80000000)) /* True, enable clawback */ \
\
LEDGER_OBJECT(Offer, \
LSF_FLAG(lsfPassive, 0x00010000) \
LSF_FLAG(lsfSell, 0x00020000) /* True, offer was placed as a sell. */ \
LSF_FLAG(lsfHybrid, 0x00040000)) /* True, offer is hybrid. */ \
\
LEDGER_OBJECT(RippleState, \
LSF_FLAG(lsfLowReserve, 0x00010000) /* True, if entry counts toward reserve. */ \
LSF_FLAG(lsfHighReserve, 0x00020000) \
LSF_FLAG(lsfLowAuth, 0x00040000) \
LSF_FLAG(lsfHighAuth, 0x00080000) \
LSF_FLAG(lsfLowNoRipple, 0x00100000) \
LSF_FLAG(lsfHighNoRipple, 0x00200000) \
LSF_FLAG(lsfLowFreeze, 0x00400000) /* True, low side has set freeze flag */ \
LSF_FLAG(lsfHighFreeze, 0x00800000) /* True, high side has set freeze flag */ \
LSF_FLAG(lsfAMMNode, 0x01000000) /* True, trust line to AMM. */ \
/* Used by client apps to identify payments via AMM. */ \
LSF_FLAG(lsfLowDeepFreeze, 0x02000000) /* True, low side has set deep freeze flag */ \
LSF_FLAG(lsfHighDeepFreeze, 0x04000000)) /* True, high side has set deep freeze flag */ \
\
LEDGER_OBJECT(SignerList, \
LSF_FLAG(lsfOneOwnerCount, 0x00010000)) /* True, uses only one OwnerCount */ \
\
LEDGER_OBJECT(DirNode, \
LSF_FLAG(lsfNFTokenBuyOffers, 0x00000001) \
LSF_FLAG(lsfNFTokenSellOffers, 0x00000002)) \
\
LEDGER_OBJECT(NFTokenOffer, \
LSF_FLAG(lsfSellNFToken, 0x00000001)) \
\
LEDGER_OBJECT(MPTokenIssuance, \
LSF_FLAG(lsfMPTLocked, 0x00000001) /* Also used in ltMPTOKEN */ \
LSF_FLAG(lsfMPTCanLock, 0x00000002) \
LSF_FLAG(lsfMPTRequireAuth, 0x00000004) \
LSF_FLAG(lsfMPTCanEscrow, 0x00000008) \
LSF_FLAG(lsfMPTCanTrade, 0x00000010) \
LSF_FLAG(lsfMPTCanTransfer, 0x00000020) \
LSF_FLAG(lsfMPTCanClawback, 0x00000040)) \
\
LEDGER_OBJECT(MPTokenIssuanceMutable, \
LSF_FLAG(lsmfMPTCanMutateCanLock, 0x00000002) \
LSF_FLAG(lsmfMPTCanMutateRequireAuth, 0x00000004) \
LSF_FLAG(lsmfMPTCanMutateCanEscrow, 0x00000008) \
LSF_FLAG(lsmfMPTCanMutateCanTrade, 0x00000010) \
LSF_FLAG(lsmfMPTCanMutateCanTransfer, 0x00000020) \
LSF_FLAG(lsmfMPTCanMutateCanClawback, 0x00000040) \
LSF_FLAG(lsmfMPTCanMutateMetadata, 0x00010000) \
LSF_FLAG(lsmfMPTCanMutateTransferFee, 0x00020000)) \
\
LEDGER_OBJECT(MPToken, \
LSF_FLAG2(lsfMPTLocked, 0x00000001) \
LSF_FLAG(lsfMPTAuthorized, 0x00000002)) \
\
LEDGER_OBJECT(Credential, \
LSF_FLAG(lsfAccepted, 0x00010000)) \
\
LEDGER_OBJECT(Vault, \
LSF_FLAG(lsfVaultPrivate, 0x00010000)) \
\
LEDGER_OBJECT(Loan, \
LSF_FLAG(lsfLoanDefault, 0x00010000) \
LSF_FLAG(lsfLoanImpaired, 0x00020000) \
LSF_FLAG(lsfLoanOverpayment, 0x00040000)) /* True, loan allows overpayments */
/**
@ingroup protocol
*/
enum LedgerSpecificFlags {
// ltACCOUNT_ROOT
lsfPasswordSpent = 0x00010000, // True, if password set fee is spent.
lsfRequireDestTag =
0x00020000, // True, to require a DestinationTag for payments.
lsfRequireAuth =
0x00040000, // True, to require a authorization to hold IOUs.
lsfDisallowXRP = 0x00080000, // True, to disallow sending XRP.
lsfDisableMaster = 0x00100000, // True, force regular key
lsfNoFreeze = 0x00200000, // True, cannot freeze ripple states
lsfGlobalFreeze = 0x00400000, // True, all assets frozen
lsfDefaultRipple =
0x00800000, // True, incoming trust lines allow rippling by default
lsfDepositAuth = 0x01000000, // True, all deposits require authorization
/* // reserved for Hooks amendment
lsfTshCollect = 0x02000000, // True, allow TSH collect-calls to acc hooks
*/
lsfDisallowIncomingNFTokenOffer =
0x04000000, // True, reject new incoming NFT offers
lsfDisallowIncomingCheck =
0x08000000, // True, reject new checks
lsfDisallowIncomingPayChan =
0x10000000, // True, reject new paychans
lsfDisallowIncomingTrustline =
0x20000000, // True, reject new trustlines (only if no issued assets)
lsfAllowTrustLineLocking =
0x40000000, // True, enable trustline locking
lsfAllowTrustLineClawback =
0x80000000, // True, enable clawback
// clang-format on
// ltOFFER
lsfPassive = 0x00010000,
lsfSell = 0x00020000, // True, offer was placed as a sell.
lsfHybrid = 0x00040000, // True, offer is hybrid.
// Create all the flag values as an enum.
//
// example:
// enum LedgerSpecificFlags {
// lsfPasswordSpent = 0x00010000,
// lsfRequireDestTag = 0x00020000,
// ...
// };
#define TO_VALUE(name, value) name = value,
#define NULL_NAME(name, values) values
#define NULL_OUTPUT(name, value)
enum LedgerSpecificFlags : std::uint32_t { XMACRO(NULL_NAME, TO_VALUE, NULL_OUTPUT) };
// ltRIPPLE_STATE
lsfLowReserve = 0x00010000, // True, if entry counts toward reserve.
lsfHighReserve = 0x00020000,
lsfLowAuth = 0x00040000,
lsfHighAuth = 0x00080000,
lsfLowNoRipple = 0x00100000,
lsfHighNoRipple = 0x00200000,
lsfLowFreeze = 0x00400000, // True, low side has set freeze flag
lsfHighFreeze = 0x00800000, // True, high side has set freeze flag
lsfLowDeepFreeze = 0x02000000, // True, low side has set deep freeze flag
lsfHighDeepFreeze = 0x04000000, // True, high side has set deep freeze flag
lsfAMMNode = 0x01000000, // True, trust line to AMM. Used by client
// apps to identify payments via AMM.
// Create getter functions for each set of flags using Meyer's singleton pattern.
// This avoids static initialization order fiasco while still providing efficient access.
// This is used below in `getAllLedgerFlags()` to generate the server_definitions RPC output.
//
// example:
// inline LedgerFlagMap const& getAccountRootFlags() {
// static LedgerFlagMap const flags = {
// {"lsfPasswordSpent", 0x00010000},
// {"lsfRequireDestTag", 0x00020000},
// ...};
// return flags;
// }
using LedgerFlagMap = std::map<std::string, std::uint32_t>;
#define VALUE_TO_MAP(name, value) {#name, value},
#define TO_MAP(name, values) \
inline LedgerFlagMap const& get##name##Flags() \
{ \
static LedgerFlagMap const flags = {values}; \
return flags; \
}
XMACRO(TO_MAP, VALUE_TO_MAP, VALUE_TO_MAP)
// ltSIGNER_LIST
lsfOneOwnerCount = 0x00010000, // True, uses only one OwnerCount
// Create a getter function for all ledger flag maps using Meyer's singleton pattern.
// This is used to generate the server_definitions RPC output.
//
// example:
// inline std::vector<std::pair<std::string, LedgerFlagMap>> const& getAllLedgerFlags() {
// static std::vector<std::pair<std::string, LedgerFlagMap>> const flags = {
// {"AccountRoot", getAccountRootFlags()},
// ...};
// return flags;
// }
#define ALL_LEDGER_FLAGS(name, values) {#name, get##name##Flags()},
inline std::vector<std::pair<std::string, LedgerFlagMap>> const&
getAllLedgerFlags()
{
static std::vector<std::pair<std::string, LedgerFlagMap>> const flags = {
XMACRO(ALL_LEDGER_FLAGS, NULL_OUTPUT, NULL_OUTPUT)};
return flags;
}
// ltDIR_NODE
lsfNFTokenBuyOffers = 0x00000001,
lsfNFTokenSellOffers = 0x00000002,
#undef XMACRO
#undef TO_VALUE
#undef VALUE_TO_MAP
#undef NULL_NAME
#undef NULL_OUTPUT
#undef TO_MAP
#undef ALL_LEDGER_FLAGS
// ltNFTOKEN_OFFER
lsfSellNFToken = 0x00000001,
#pragma pop_macro("XMACRO")
#pragma pop_macro("TO_VALUE")
#pragma pop_macro("VALUE_TO_MAP")
#pragma pop_macro("NULL_NAME")
#pragma pop_macro("TO_MAP")
#pragma pop_macro("ALL_LEDGER_FLAGS")
// ltMPTOKEN_ISSUANCE
lsfMPTLocked = 0x00000001, // Also used in ltMPTOKEN
lsfMPTCanLock = 0x00000002,
lsfMPTRequireAuth = 0x00000004,
lsfMPTCanEscrow = 0x00000008,
lsfMPTCanTrade = 0x00000010,
lsfMPTCanTransfer = 0x00000020,
lsfMPTCanClawback = 0x00000040,
lsmfMPTCanMutateCanLock = 0x00000002,
lsmfMPTCanMutateRequireAuth = 0x00000004,
lsmfMPTCanMutateCanEscrow = 0x00000008,
lsmfMPTCanMutateCanTrade = 0x00000010,
lsmfMPTCanMutateCanTransfer = 0x00000020,
lsmfMPTCanMutateCanClawback = 0x00000040,
lsmfMPTCanMutateMetadata = 0x00010000,
lsmfMPTCanMutateTransferFee = 0x00020000,
// ltMPTOKEN
lsfMPTAuthorized = 0x00000002,
// ltCREDENTIAL
lsfAccepted = 0x00010000,
// ltVAULT
lsfVaultPrivate = 0x00010000,
// ltLOAN
lsfLoanDefault = 0x00010000,
lsfLoanImpaired = 0x00020000,
lsfLoanOverpayment = 0x00040000, // True, loan allows overpayments
};
//------------------------------------------------------------------------------
@@ -286,10 +207,6 @@ private:
public:
static LedgerFormats const&
getInstance();
// Fields shared by all ledger entry formats:
static std::vector<SOElement> const&
getCommonFields();
};
} // namespace xrpl

View File

@@ -6,7 +6,6 @@
#include <functional>
#include <initializer_list>
#include <stdexcept>
#include <vector>
namespace xrpl {
@@ -98,12 +97,8 @@ public:
operator=(SOTemplate&& other) = default;
/** Create a template populated with all fields.
After creating the template fields cannot be added, modified, or removed.
*/
SOTemplate(std::vector<SOElement> uniqueFields, std::vector<SOElement> commonFields = {});
/** Create a template populated with all fields.
Note: Defers to the vector constructor above.
After creating the template fields cannot be
added, modified, or removed.
*/
SOTemplate(
std::initializer_list<SOElement> uniqueFields,

View File

@@ -3,444 +3,294 @@
#include <xrpl/protocol/LedgerFormats.h>
#include <cstdint>
#include <map>
#include <string>
#include <utility>
#include <vector>
namespace xrpl {
/** Transaction flags.
These flags are specified in a transaction's 'Flags' field and modify
the behavior of that transaction.
These flags are specified in a transaction's 'Flags' field and modify the
behavior of that transaction.
There are two types of flags:
(1) Universal flags: these are flags which apply to, and are interpreted the same way by,
all transactions, except, perhaps, to special pseudo-transactions.
(1) Universal flags: these are flags which apply to, and are interpreted
the same way by, all transactions, except, perhaps,
to special pseudo-transactions.
(2) Tx-Specific flags: these are flags which are interpreted according to the type of the
transaction being executed. That is, the same numerical flag value may have different
effects, depending on the transaction being executed.
(2) Tx-Specific flags: these are flags which are interpreted according
to the type of the transaction being executed.
That is, the same numerical flag value may have
different effects, depending on the transaction
being executed.
@note The universal transaction flags occupy the high-order 8 bits.
The tx-specific flags occupy the remaining 24 bits.
@note The universal transaction flags occupy the high-order 8 bits. The
tx-specific flags occupy the remaining 24 bits.
@warning Transaction flags form part of the protocol.
**Changing them should be avoided because without special handling, this will result in
a hard fork.**
@warning Transaction flags form part of the protocol. **Changing them
should be avoided because without special handling, this will
result in a hard fork.**
@ingroup protocol
*/
using FlagValue = std::uint32_t;
// Universal Transaction flags:
inline constexpr FlagValue tfFullyCanonicalSig = 0x80000000;
inline constexpr FlagValue tfInnerBatchTxn = 0x40000000;
inline constexpr FlagValue tfUniversal = tfFullyCanonicalSig | tfInnerBatchTxn;
inline constexpr FlagValue tfUniversalMask = ~tfUniversal;
#pragma push_macro("XMACRO")
#pragma push_macro("TO_VALUE")
#pragma push_macro("VALUE_TO_MAP")
#pragma push_macro("NULL_NAME")
#pragma push_macro("NULL_OUTPUT")
#pragma push_macro("TO_MAP")
#pragma push_macro("TO_MASK")
#pragma push_macro("VALUE_TO_MASK")
#pragma push_macro("ALL_TX_FLAGS")
#pragma push_macro("NULL_MASK_ADJ")
#pragma push_macro("MASK_ADJ_TO_MASK")
#undef XMACRO
#undef TO_VALUE
#undef VALUE_TO_MAP
#undef NULL_NAME
#undef NULL_OUTPUT
#undef TO_MAP
#undef TO_MASK
#undef VALUE_TO_MASK
#undef NULL_MASK_ADJ
#undef MASK_ADJ_TO_MASK
// Formatting equals sign aligned 4 spaces after longest prefix, except for
// wrapped lines
// clang-format off
#undef ALL_TX_FLAGS
// Universal Transaction flags:
constexpr std::uint32_t tfFullyCanonicalSig = 0x80000000;
constexpr std::uint32_t tfInnerBatchTxn = 0x40000000;
constexpr std::uint32_t tfUniversal = tfFullyCanonicalSig | tfInnerBatchTxn;
constexpr std::uint32_t tfUniversalMask = ~tfUniversal;
// XMACRO parameters:
// - TRANSACTION: handles the transaction name, its flags, and mask adjustment
// - TF_FLAG: defines a new flag constant
// - TF_FLAG2: references an existing flag constant (no new definition)
// - MASK_ADJ: specifies flags to add back to the mask (making them invalid for this tx type)
//
// Note: MASK_ADJ is used when a universal flag should be invalid for a specific transaction.
// For example, Batch uses MASK_ADJ(tfInnerBatchTxn) because the outer Batch transaction
// must not have tfInnerBatchTxn set (only inner transactions should have it).
//
// TODO: Consider rewriting this using reflection in C++26 or later. Alternatively this could be a DSL processed by a script at build time.
#define XMACRO(TRANSACTION, TF_FLAG, TF_FLAG2, MASK_ADJ) \
TRANSACTION(AccountSet, \
TF_FLAG(tfRequireDestTag, 0x00010000) \
TF_FLAG(tfOptionalDestTag, 0x00020000) \
TF_FLAG(tfRequireAuth, 0x00040000) \
TF_FLAG(tfOptionalAuth, 0x00080000) \
TF_FLAG(tfDisallowXRP, 0x00100000) \
TF_FLAG(tfAllowXRP, 0x00200000), \
MASK_ADJ(0)) \
\
TRANSACTION(OfferCreate, \
TF_FLAG(tfPassive, 0x00010000) \
TF_FLAG(tfImmediateOrCancel, 0x00020000) \
TF_FLAG(tfFillOrKill, 0x00040000) \
TF_FLAG(tfSell, 0x00080000) \
TF_FLAG(tfHybrid, 0x00100000), \
MASK_ADJ(0)) \
\
TRANSACTION(Payment, \
TF_FLAG(tfNoRippleDirect, 0x00010000) \
TF_FLAG(tfPartialPayment, 0x00020000) \
TF_FLAG(tfLimitQuality, 0x00040000), \
MASK_ADJ(0)) \
\
TRANSACTION(TrustSet, \
TF_FLAG(tfSetfAuth, 0x00010000) \
TF_FLAG(tfSetNoRipple, 0x00020000) \
TF_FLAG(tfClearNoRipple, 0x00040000) \
TF_FLAG(tfSetFreeze, 0x00100000) \
TF_FLAG(tfClearFreeze, 0x00200000) \
TF_FLAG(tfSetDeepFreeze, 0x00400000) \
TF_FLAG(tfClearDeepFreeze, 0x00800000), \
MASK_ADJ(0)) \
\
TRANSACTION(EnableAmendment, \
TF_FLAG(tfGotMajority, 0x00010000) \
TF_FLAG(tfLostMajority, 0x00020000), \
MASK_ADJ(0)) \
\
TRANSACTION(PaymentChannelClaim, \
TF_FLAG(tfRenew, 0x00010000) \
TF_FLAG(tfClose, 0x00020000), \
MASK_ADJ(0)) \
\
TRANSACTION(NFTokenMint, \
TF_FLAG(tfBurnable, 0x00000001) \
TF_FLAG(tfOnlyXRP, 0x00000002) \
/* deprecated TF_FLAG(tfTrustLine, 0x00000004) */ \
TF_FLAG(tfTransferable, 0x00000008) \
TF_FLAG(tfMutable, 0x00000010), \
MASK_ADJ(0)) \
\
TRANSACTION(MPTokenIssuanceCreate, \
/* Note: tf/lsfMPTLocked is intentionally omitted since this transaction is not allowed to modify it. */ \
TF_FLAG(tfMPTCanLock, lsfMPTCanLock) \
TF_FLAG(tfMPTRequireAuth, lsfMPTRequireAuth) \
TF_FLAG(tfMPTCanEscrow, lsfMPTCanEscrow) \
TF_FLAG(tfMPTCanTrade, lsfMPTCanTrade) \
TF_FLAG(tfMPTCanTransfer, lsfMPTCanTransfer) \
TF_FLAG(tfMPTCanClawback, lsfMPTCanClawback), \
MASK_ADJ(0)) \
\
TRANSACTION(MPTokenAuthorize, \
TF_FLAG(tfMPTUnauthorize, 0x00000001), \
MASK_ADJ(0)) \
\
TRANSACTION(MPTokenIssuanceSet, \
TF_FLAG(tfMPTLock, 0x00000001) \
TF_FLAG(tfMPTUnlock, 0x00000002), \
MASK_ADJ(0)) \
\
TRANSACTION(NFTokenCreateOffer, \
TF_FLAG(tfSellNFToken, 0x00000001), \
MASK_ADJ(0)) \
\
TRANSACTION(AMMDeposit, \
TF_FLAG(tfLPToken, 0x00010000) \
TF_FLAG(tfSingleAsset, 0x00080000) \
TF_FLAG(tfTwoAsset, 0x00100000) \
TF_FLAG(tfOneAssetLPToken, 0x00200000) \
TF_FLAG(tfLimitLPToken, 0x00400000) \
TF_FLAG(tfTwoAssetIfEmpty, 0x00800000), \
MASK_ADJ(0)) \
\
TRANSACTION(AMMWithdraw, \
TF_FLAG2(tfLPToken, 0x00010000) \
TF_FLAG(tfWithdrawAll, 0x00020000) \
TF_FLAG(tfOneAssetWithdrawAll, 0x00040000) \
TF_FLAG2(tfSingleAsset, 0x00080000) \
TF_FLAG2(tfTwoAsset, 0x00100000) \
TF_FLAG2(tfOneAssetLPToken, 0x00200000) \
TF_FLAG2(tfLimitLPToken, 0x00400000), \
MASK_ADJ(0)) \
\
TRANSACTION(AMMClawback, \
TF_FLAG(tfClawTwoAssets, 0x00000001), \
MASK_ADJ(0)) \
\
TRANSACTION(XChainModifyBridge, \
TF_FLAG(tfClearAccountCreateAmount, 0x00010000), \
MASK_ADJ(0)) \
\
TRANSACTION(VaultCreate, \
TF_FLAG(tfVaultPrivate, lsfVaultPrivate) \
TF_FLAG(tfVaultShareNonTransferable, 0x00020000), \
MASK_ADJ(0)) \
\
TRANSACTION(Batch, \
TF_FLAG(tfAllOrNothing, 0x00010000) \
TF_FLAG(tfOnlyOne, 0x00020000) \
TF_FLAG(tfUntilFailure, 0x00040000) \
TF_FLAG(tfIndependent, 0x00080000), \
MASK_ADJ(tfInnerBatchTxn)) /* Batch must reject tfInnerBatchTxn - only inner transactions should have this flag */ \
\
TRANSACTION(LoanSet, /* True indicates the loan supports overpayments */ \
TF_FLAG(tfLoanOverpayment, 0x00010000), \
MASK_ADJ(0)) \
\
TRANSACTION(LoanPay, /* True indicates any excess in this payment can be used as an overpayment. */ \
/* False: no overpayments will be taken. */ \
TF_FLAG2(tfLoanOverpayment, 0x00010000) \
TF_FLAG(tfLoanFullPayment, 0x00020000) /* True indicates that the payment is an early full payment. */ \
/* It must pay the entire loan including close interest and fees, or it will fail. */ \
/* False: Not a full payment. */ \
TF_FLAG(tfLoanLatePayment, 0x00040000), /* True indicates that the payment is late, and includes late interest and fees. */ \
/* If the loan is not late, it will fail. */ \
/* False: not a late payment. If the current payment is overdue, the transaction will fail.*/ \
MASK_ADJ(0)) \
\
TRANSACTION(LoanManage, \
TF_FLAG(tfLoanDefault, 0x00010000) \
TF_FLAG(tfLoanImpair, 0x00020000) \
TF_FLAG(tfLoanUnimpair, 0x00040000), \
MASK_ADJ(0))
// AccountSet flags:
constexpr std::uint32_t tfRequireDestTag = 0x00010000;
constexpr std::uint32_t tfOptionalDestTag = 0x00020000;
constexpr std::uint32_t tfRequireAuth = 0x00040000;
constexpr std::uint32_t tfOptionalAuth = 0x00080000;
constexpr std::uint32_t tfDisallowXRP = 0x00100000;
constexpr std::uint32_t tfAllowXRP = 0x00200000;
constexpr std::uint32_t tfAccountSetMask =
~(tfUniversal | tfRequireDestTag | tfOptionalDestTag | tfRequireAuth |
tfOptionalAuth | tfDisallowXRP | tfAllowXRP);
// clang-format on
// AccountSet SetFlag/ClearFlag values
constexpr std::uint32_t asfRequireDest = 1;
constexpr std::uint32_t asfRequireAuth = 2;
constexpr std::uint32_t asfDisallowXRP = 3;
constexpr std::uint32_t asfDisableMaster = 4;
constexpr std::uint32_t asfAccountTxnID = 5;
constexpr std::uint32_t asfNoFreeze = 6;
constexpr std::uint32_t asfGlobalFreeze = 7;
constexpr std::uint32_t asfDefaultRipple = 8;
constexpr std::uint32_t asfDepositAuth = 9;
constexpr std::uint32_t asfAuthorizedNFTokenMinter = 10;
/* // reserved for Hooks amendment
constexpr std::uint32_t asfTshCollect = 11;
*/
constexpr std::uint32_t asfDisallowIncomingNFTokenOffer = 12;
constexpr std::uint32_t asfDisallowIncomingCheck = 13;
constexpr std::uint32_t asfDisallowIncomingPayChan = 14;
constexpr std::uint32_t asfDisallowIncomingTrustline = 15;
constexpr std::uint32_t asfAllowTrustLineClawback = 16;
constexpr std::uint32_t asfAllowTrustLineLocking = 17;
// Create all the flag values.
//
// example:
// inline constexpr FlagValue tfAccountSetRequireDestTag = 0x00010000;
#define TO_VALUE(name, value) inline constexpr FlagValue name = value;
#define NULL_NAME(name, values, maskAdj) values
#define NULL_OUTPUT(name, value)
#define NULL_MASK_ADJ(value)
XMACRO(NULL_NAME, TO_VALUE, NULL_OUTPUT, NULL_MASK_ADJ)
// OfferCreate flags:
constexpr std::uint32_t tfPassive = 0x00010000;
constexpr std::uint32_t tfImmediateOrCancel = 0x00020000;
constexpr std::uint32_t tfFillOrKill = 0x00040000;
constexpr std::uint32_t tfSell = 0x00080000;
constexpr std::uint32_t tfHybrid = 0x00100000;
constexpr std::uint32_t tfOfferCreateMask =
~(tfUniversal | tfPassive | tfImmediateOrCancel | tfFillOrKill | tfSell | tfHybrid);
// Create masks for each transaction type that has flags.
//
// example:
// inline constexpr FlagValue tfAccountSetMask = ~(tfUniversal | tfRequireDestTag |
// tfOptionalDestTag | tfRequireAuth | tfOptionalAuth | tfDisallowXRP | tfAllowXRP);
//
// The mask adjustment (maskAdj) allows adding flags back to the mask, making them invalid.
// For example, Batch uses MASK_ADJ(tfInnerBatchTxn) to reject tfInnerBatchTxn on outer Batch.
#define TO_MASK(name, values, maskAdj) \
inline constexpr FlagValue tf##name##Mask = ~(tfUniversal values) | maskAdj;
#define VALUE_TO_MASK(name, value) | name
#define MASK_ADJ_TO_MASK(value) value
XMACRO(TO_MASK, VALUE_TO_MASK, VALUE_TO_MASK, MASK_ADJ_TO_MASK)
// Payment flags:
constexpr std::uint32_t tfNoRippleDirect = 0x00010000;
constexpr std::uint32_t tfPartialPayment = 0x00020000;
constexpr std::uint32_t tfLimitQuality = 0x00040000;
constexpr std::uint32_t tfPaymentMask =
~(tfUniversal | tfPartialPayment | tfLimitQuality | tfNoRippleDirect);
constexpr std::uint32_t tfMPTPaymentMask = ~(tfUniversal | tfPartialPayment);
// Verify that tfBatchMask correctly rejects tfInnerBatchTxn.
// The outer Batch transaction must NOT have tfInnerBatchTxn set; only inner transactions should
// have it.
static_assert(
(tfBatchMask & tfInnerBatchTxn) == tfInnerBatchTxn,
"tfBatchMask must include tfInnerBatchTxn to reject it on outer Batch");
// TrustSet flags:
constexpr std::uint32_t tfSetfAuth = 0x00010000;
constexpr std::uint32_t tfSetNoRipple = 0x00020000;
constexpr std::uint32_t tfClearNoRipple = 0x00040000;
constexpr std::uint32_t tfSetFreeze = 0x00100000;
constexpr std::uint32_t tfClearFreeze = 0x00200000;
constexpr std::uint32_t tfSetDeepFreeze = 0x00400000;
constexpr std::uint32_t tfClearDeepFreeze = 0x00800000;
constexpr std::uint32_t tfTrustSetMask =
~(tfUniversal | tfSetfAuth | tfSetNoRipple | tfClearNoRipple | tfSetFreeze |
tfClearFreeze | tfSetDeepFreeze | tfClearDeepFreeze);
constexpr std::uint32_t tfTrustSetPermissionMask = ~(tfUniversal | tfSetfAuth | tfSetFreeze | tfClearFreeze);
// Verify that other transaction masks correctly allow tfInnerBatchTxn.
// Inner transactions need tfInnerBatchTxn to be valid, so these masks must not reject it.
static_assert(
(tfPaymentMask & tfInnerBatchTxn) == 0,
"tfPaymentMask must not reject tfInnerBatchTxn");
static_assert(
(tfAccountSetMask & tfInnerBatchTxn) == 0,
"tfAccountSetMask must not reject tfInnerBatchTxn");
// EnableAmendment flags:
constexpr std::uint32_t tfGotMajority = 0x00010000;
constexpr std::uint32_t tfLostMajority = 0x00020000;
constexpr std::uint32_t tfChangeMask =
~( tfUniversal | tfGotMajority | tfLostMajority);
// Create getter functions for each set of flags using Meyer's singleton pattern.
// This avoids static initialization order fiasco while still providing efficient access.
// This is used below in `getAllTxFlags()` to generate the server_definitions RPC
// output.
//
// example:
// inline FlagMap const& getAccountSetFlags() {
// static FlagMap const flags = {
// {"tfRequireDestTag", 0x00010000},
// {"tfOptionalDestTag", 0x00020000},
// ...};
// return flags;
// }
using FlagMap = std::map<std::string, FlagValue>;
#define VALUE_TO_MAP(name, value) {#name, value},
#define TO_MAP(name, values, maskAdj) \
inline FlagMap const& get##name##Flags() \
{ \
static FlagMap const flags = {values}; \
return flags; \
}
XMACRO(TO_MAP, VALUE_TO_MAP, VALUE_TO_MAP, NULL_MASK_ADJ)
// PaymentChannelClaim flags:
constexpr std::uint32_t tfRenew = 0x00010000;
constexpr std::uint32_t tfClose = 0x00020000;
constexpr std::uint32_t tfPayChanClaimMask = ~(tfUniversal | tfRenew | tfClose);
inline FlagMap const&
getUniversalFlags()
{
static FlagMap const flags = {
{"tfFullyCanonicalSig", tfFullyCanonicalSig}, {"tfInnerBatchTxn", tfInnerBatchTxn}};
return flags;
}
// NFTokenMint flags:
constexpr std::uint32_t const tfBurnable = 0x00000001;
constexpr std::uint32_t const tfOnlyXRP = 0x00000002;
constexpr std::uint32_t const tfTrustLine = 0x00000004;
constexpr std::uint32_t const tfTransferable = 0x00000008;
constexpr std::uint32_t const tfMutable = 0x00000010;
// Create a getter function for all transaction flag maps using Meyer's singleton pattern.
// This is used to generate the server_definitions RPC output.
//
// example:
// inline FlagMapPairList const& getAllTxFlags() {
// static FlagMapPairList const flags = {
// {"AccountSet", getAccountSetFlags()},
// ...};
// return flags;
// }
using FlagMapPairList = std::vector<std::pair<std::string, FlagMap>>;
#define ALL_TX_FLAGS(name, values, maskAdj) {#name, get##name##Flags()},
inline FlagMapPairList const&
getAllTxFlags()
{
static FlagMapPairList const flags = {
{"universal", getUniversalFlags()},
XMACRO(ALL_TX_FLAGS, NULL_OUTPUT, NULL_OUTPUT, NULL_MASK_ADJ)};
return flags;
}
#undef XMACRO
#undef TO_VALUE
#undef VALUE_TO_MAP
#undef NULL_NAME
#undef NULL_OUTPUT
#undef TO_MAP
#undef TO_MASK
#undef VALUE_TO_MASK
#undef ALL_TX_FLAGS
#undef NULL_MASK_ADJ
#undef MASK_ADJ_TO_MASK
#pragma pop_macro("XMACRO")
#pragma pop_macro("TO_VALUE")
#pragma pop_macro("VALUE_TO_MAP")
#pragma pop_macro("NULL_NAME")
#pragma pop_macro("NULL_OUTPUT")
#pragma pop_macro("TO_MAP")
#pragma pop_macro("TO_MASK")
#pragma pop_macro("VALUE_TO_MASK")
#pragma pop_macro("ALL_TX_FLAGS")
#pragma pop_macro("NULL_MASK_ADJ")
#pragma pop_macro("MASK_ADJ_TO_MASK")
// Additional transaction masks and combos
inline constexpr FlagValue tfMPTPaymentMask = ~(tfUniversal | tfPartialPayment);
inline constexpr FlagValue tfTrustSetPermissionMask =
~(tfUniversal | tfSetfAuth | tfSetFreeze | tfClearFreeze);
// MPTokenIssuanceCreate flags:
// Note: tf/lsfMPTLocked is intentionally omitted, since this transaction
// is not allowed to modify it.
constexpr std::uint32_t const tfMPTCanLock = lsfMPTCanLock;
constexpr std::uint32_t const tfMPTRequireAuth = lsfMPTRequireAuth;
constexpr std::uint32_t const tfMPTCanEscrow = lsfMPTCanEscrow;
constexpr std::uint32_t const tfMPTCanTrade = lsfMPTCanTrade;
constexpr std::uint32_t const tfMPTCanTransfer = lsfMPTCanTransfer;
constexpr std::uint32_t const tfMPTCanClawback = lsfMPTCanClawback;
constexpr std::uint32_t const tfMPTokenIssuanceCreateMask =
~(tfUniversal | tfMPTCanLock | tfMPTRequireAuth | tfMPTCanEscrow | tfMPTCanTrade | tfMPTCanTransfer | tfMPTCanClawback);
// MPTokenIssuanceCreate MutableFlags:
// Indicating specific fields or flags may be changed after issuance.
inline constexpr FlagValue tmfMPTCanMutateCanLock = lsmfMPTCanMutateCanLock;
inline constexpr FlagValue tmfMPTCanMutateRequireAuth = lsmfMPTCanMutateRequireAuth;
inline constexpr FlagValue tmfMPTCanMutateCanEscrow = lsmfMPTCanMutateCanEscrow;
inline constexpr FlagValue tmfMPTCanMutateCanTrade = lsmfMPTCanMutateCanTrade;
inline constexpr FlagValue tmfMPTCanMutateCanTransfer = lsmfMPTCanMutateCanTransfer;
inline constexpr FlagValue tmfMPTCanMutateCanClawback = lsmfMPTCanMutateCanClawback;
inline constexpr FlagValue tmfMPTCanMutateMetadata = lsmfMPTCanMutateMetadata;
inline constexpr FlagValue tmfMPTCanMutateTransferFee = lsmfMPTCanMutateTransferFee;
inline constexpr FlagValue tmfMPTokenIssuanceCreateMutableMask =
~(tmfMPTCanMutateCanLock | tmfMPTCanMutateRequireAuth | tmfMPTCanMutateCanEscrow |
tmfMPTCanMutateCanTrade | tmfMPTCanMutateCanTransfer | tmfMPTCanMutateCanClawback |
tmfMPTCanMutateMetadata | tmfMPTCanMutateTransferFee);
constexpr std::uint32_t const tmfMPTCanMutateCanLock = lsmfMPTCanMutateCanLock;
constexpr std::uint32_t const tmfMPTCanMutateRequireAuth = lsmfMPTCanMutateRequireAuth;
constexpr std::uint32_t const tmfMPTCanMutateCanEscrow = lsmfMPTCanMutateCanEscrow;
constexpr std::uint32_t const tmfMPTCanMutateCanTrade = lsmfMPTCanMutateCanTrade;
constexpr std::uint32_t const tmfMPTCanMutateCanTransfer = lsmfMPTCanMutateCanTransfer;
constexpr std::uint32_t const tmfMPTCanMutateCanClawback = lsmfMPTCanMutateCanClawback;
constexpr std::uint32_t const tmfMPTCanMutateMetadata = lsmfMPTCanMutateMetadata;
constexpr std::uint32_t const tmfMPTCanMutateTransferFee = lsmfMPTCanMutateTransferFee;
constexpr std::uint32_t const tmfMPTokenIssuanceCreateMutableMask =
~(tmfMPTCanMutateCanLock | tmfMPTCanMutateRequireAuth | tmfMPTCanMutateCanEscrow | tmfMPTCanMutateCanTrade
| tmfMPTCanMutateCanTransfer | tmfMPTCanMutateCanClawback | tmfMPTCanMutateMetadata | tmfMPTCanMutateTransferFee);
// MPTokenAuthorize flags:
constexpr std::uint32_t const tfMPTUnauthorize = 0x00000001;
constexpr std::uint32_t const tfMPTokenAuthorizeMask = ~(tfUniversal | tfMPTUnauthorize);
// MPTokenIssuanceSet flags:
constexpr std::uint32_t const tfMPTLock = 0x00000001;
constexpr std::uint32_t const tfMPTUnlock = 0x00000002;
constexpr std::uint32_t const tfMPTokenIssuanceSetMask = ~(tfUniversal | tfMPTLock | tfMPTUnlock);
constexpr std::uint32_t const tfMPTokenIssuanceSetPermissionMask = ~(tfUniversal | tfMPTLock | tfMPTUnlock);
// MPTokenIssuanceSet MutableFlags:
// Set or Clear flags.
constexpr std::uint32_t const tmfMPTSetCanLock = 0x00000001;
constexpr std::uint32_t const tmfMPTClearCanLock = 0x00000002;
constexpr std::uint32_t const tmfMPTSetRequireAuth = 0x00000004;
constexpr std::uint32_t const tmfMPTClearRequireAuth = 0x00000008;
constexpr std::uint32_t const tmfMPTSetCanEscrow = 0x00000010;
constexpr std::uint32_t const tmfMPTClearCanEscrow = 0x00000020;
constexpr std::uint32_t const tmfMPTSetCanTrade = 0x00000040;
constexpr std::uint32_t const tmfMPTClearCanTrade = 0x00000080;
constexpr std::uint32_t const tmfMPTSetCanTransfer = 0x00000100;
constexpr std::uint32_t const tmfMPTClearCanTransfer = 0x00000200;
constexpr std::uint32_t const tmfMPTSetCanClawback = 0x00000400;
constexpr std::uint32_t const tmfMPTClearCanClawback = 0x00000800;
constexpr std::uint32_t const tmfMPTokenIssuanceSetMutableMask = ~(tmfMPTSetCanLock | tmfMPTClearCanLock |
tmfMPTSetRequireAuth | tmfMPTClearRequireAuth | tmfMPTSetCanEscrow | tmfMPTClearCanEscrow |
tmfMPTSetCanTrade | tmfMPTClearCanTrade | tmfMPTSetCanTransfer | tmfMPTClearCanTransfer |
tmfMPTSetCanClawback | tmfMPTClearCanClawback);
inline constexpr FlagValue tmfMPTSetCanLock = 0x00000001;
inline constexpr FlagValue tmfMPTClearCanLock = 0x00000002;
inline constexpr FlagValue tmfMPTSetRequireAuth = 0x00000004;
inline constexpr FlagValue tmfMPTClearRequireAuth = 0x00000008;
inline constexpr FlagValue tmfMPTSetCanEscrow = 0x00000010;
inline constexpr FlagValue tmfMPTClearCanEscrow = 0x00000020;
inline constexpr FlagValue tmfMPTSetCanTrade = 0x00000040;
inline constexpr FlagValue tmfMPTClearCanTrade = 0x00000080;
inline constexpr FlagValue tmfMPTSetCanTransfer = 0x00000100;
inline constexpr FlagValue tmfMPTClearCanTransfer = 0x00000200;
inline constexpr FlagValue tmfMPTSetCanClawback = 0x00000400;
inline constexpr FlagValue tmfMPTClearCanClawback = 0x00000800;
inline constexpr FlagValue tmfMPTokenIssuanceSetMutableMask = ~(
tmfMPTSetCanLock | tmfMPTClearCanLock | tmfMPTSetRequireAuth | tmfMPTClearRequireAuth |
tmfMPTSetCanEscrow | tmfMPTClearCanEscrow | tmfMPTSetCanTrade | tmfMPTClearCanTrade |
tmfMPTSetCanTransfer | tmfMPTClearCanTransfer | tmfMPTSetCanClawback | tmfMPTClearCanClawback);
// MPTokenIssuanceDestroy flags:
constexpr std::uint32_t const tfMPTokenIssuanceDestroyMask = ~tfUniversal;
// Prior to fixRemoveNFTokenAutoTrustLine, transfer of an NFToken between accounts allowed a
// TrustLine to be added to the issuer of that token without explicit permission from that issuer.
// This was enabled by minting the NFToken with the tfTrustLine flag set.
// Prior to fixRemoveNFTokenAutoTrustLine, transfer of an NFToken between
// accounts allowed a TrustLine to be added to the issuer of that token
// without explicit permission from that issuer. This was enabled by
// minting the NFToken with the tfTrustLine flag set.
//
// That capability could be used to attack the NFToken issuer.
// It would be possible for two accounts to trade the NFToken back and forth building up any number
// of TrustLines on the issuer, increasing the issuer's reserve without bound.
// That capability could be used to attack the NFToken issuer. It
// would be possible for two accounts to trade the NFToken back and forth
// building up any number of TrustLines on the issuer, increasing the
// issuer's reserve without bound.
//
// The fixRemoveNFTokenAutoTrustLine amendment disables minting with the tfTrustLine flag as a way
// to prevent the attack. But until the amendment passes we still need to keep the old behavior
// available.
inline constexpr FlagValue tfTrustLine = 0x00000004; // needed for backwards compatibility
inline constexpr FlagValue tfNFTokenMintMaskWithoutMutable =
// The fixRemoveNFTokenAutoTrustLine amendment disables minting with the
// tfTrustLine flag as a way to prevent the attack. But until the
// amendment passes we still need to keep the old behavior available.
constexpr std::uint32_t const tfNFTokenMintMask =
~(tfUniversal | tfBurnable | tfOnlyXRP | tfTransferable);
inline constexpr FlagValue tfNFTokenMintOldMask = ~(~tfNFTokenMintMaskWithoutMutable | tfTrustLine);
constexpr std::uint32_t const tfNFTokenMintOldMask =
~( ~tfNFTokenMintMask | tfTrustLine);
// if featureDynamicNFT enabled then new flag allowing mutable URI available.
inline constexpr FlagValue tfNFTokenMintOldMaskWithMutable = ~(~tfNFTokenMintOldMask | tfMutable);
constexpr std::uint32_t const tfNFTokenMintOldMaskWithMutable =
~( ~tfNFTokenMintOldMask | tfMutable);
inline constexpr FlagValue tfWithdrawSubTx = tfLPToken | tfSingleAsset | tfTwoAsset |
tfOneAssetLPToken | tfLimitLPToken | tfWithdrawAll | tfOneAssetWithdrawAll;
inline constexpr FlagValue tfDepositSubTx =
tfLPToken | tfSingleAsset | tfTwoAsset | tfOneAssetLPToken | tfLimitLPToken | tfTwoAssetIfEmpty;
constexpr std::uint32_t const tfNFTokenMintMaskWithMutable =
~( ~tfNFTokenMintMask | tfMutable);
#pragma push_macro("ACCOUNTSET_FLAGS")
#pragma push_macro("ACCOUNTSET_FLAG_TO_VALUE")
#pragma push_macro("ACCOUNTSET_FLAG_TO_MAP")
// NFTokenCreateOffer flags:
constexpr std::uint32_t const tfSellNFToken = 0x00000001;
constexpr std::uint32_t const tfNFTokenCreateOfferMask =
~(tfUniversal | tfSellNFToken);
// AccountSet SetFlag/ClearFlag values
#define ACCOUNTSET_FLAGS(ASF_FLAG) \
ASF_FLAG(asfRequireDest, 1) \
ASF_FLAG(asfRequireAuth, 2) \
ASF_FLAG(asfDisallowXRP, 3) \
ASF_FLAG(asfDisableMaster, 4) \
ASF_FLAG(asfAccountTxnID, 5) \
ASF_FLAG(asfNoFreeze, 6) \
ASF_FLAG(asfGlobalFreeze, 7) \
ASF_FLAG(asfDefaultRipple, 8) \
ASF_FLAG(asfDepositAuth, 9) \
ASF_FLAG(asfAuthorizedNFTokenMinter, 10) \
/* 11 is reserved for Hooks amendment */ \
/* ASF_FLAG(asfTshCollect, 11) */ \
ASF_FLAG(asfDisallowIncomingNFTokenOffer, 12) \
ASF_FLAG(asfDisallowIncomingCheck, 13) \
ASF_FLAG(asfDisallowIncomingPayChan, 14) \
ASF_FLAG(asfDisallowIncomingTrustline, 15) \
ASF_FLAG(asfAllowTrustLineClawback, 16) \
ASF_FLAG(asfAllowTrustLineLocking, 17)
// NFTokenCancelOffer flags:
constexpr std::uint32_t const tfNFTokenCancelOfferMask = ~tfUniversal;
#define ACCOUNTSET_FLAG_TO_VALUE(name, value) inline constexpr FlagValue name = value;
#define ACCOUNTSET_FLAG_TO_MAP(name, value) {#name, value},
// NFTokenAcceptOffer flags:
constexpr std::uint32_t const tfNFTokenAcceptOfferMask = ~tfUniversal;
ACCOUNTSET_FLAGS(ACCOUNTSET_FLAG_TO_VALUE)
// Clawback flags:
constexpr std::uint32_t const tfClawbackMask = ~tfUniversal;
inline std::map<std::string, FlagValue> const&
getAsfFlagMap()
{
static std::map<std::string, FlagValue> const flags = {
ACCOUNTSET_FLAGS(ACCOUNTSET_FLAG_TO_MAP)};
return flags;
}
// AMM Flags:
constexpr std::uint32_t tfLPToken = 0x00010000;
constexpr std::uint32_t tfWithdrawAll = 0x00020000;
constexpr std::uint32_t tfOneAssetWithdrawAll = 0x00040000;
constexpr std::uint32_t tfSingleAsset = 0x00080000;
constexpr std::uint32_t tfTwoAsset = 0x00100000;
constexpr std::uint32_t tfOneAssetLPToken = 0x00200000;
constexpr std::uint32_t tfLimitLPToken = 0x00400000;
constexpr std::uint32_t tfTwoAssetIfEmpty = 0x00800000;
constexpr std::uint32_t tfWithdrawSubTx =
tfLPToken | tfSingleAsset | tfTwoAsset | tfOneAssetLPToken |
tfLimitLPToken | tfWithdrawAll | tfOneAssetWithdrawAll;
constexpr std::uint32_t tfDepositSubTx =
tfLPToken | tfSingleAsset | tfTwoAsset | tfOneAssetLPToken |
tfLimitLPToken | tfTwoAssetIfEmpty;
constexpr std::uint32_t tfWithdrawMask = ~(tfUniversal | tfWithdrawSubTx);
constexpr std::uint32_t tfDepositMask = ~(tfUniversal | tfDepositSubTx);
#undef ACCOUNTSET_FLAG_TO_VALUE
#undef ACCOUNTSET_FLAG_TO_MAP
#undef ACCOUNTSET_FLAGS
// AMMClawback flags:
constexpr std::uint32_t tfClawTwoAssets = 0x00000001;
constexpr std::uint32_t tfAMMClawbackMask = ~(tfUniversal | tfClawTwoAssets);
#pragma pop_macro("ACCOUNTSET_FLAG_TO_VALUE")
#pragma pop_macro("ACCOUNTSET_FLAG_TO_MAP")
#pragma pop_macro("ACCOUNTSET_FLAGS")
// BridgeModify flags:
constexpr std::uint32_t tfClearAccountCreateAmount = 0x00010000;
constexpr std::uint32_t tfBridgeModifyMask = ~(tfUniversal | tfClearAccountCreateAmount);
// VaultCreate flags:
constexpr std::uint32_t const tfVaultPrivate = 0x00010000;
static_assert(tfVaultPrivate == lsfVaultPrivate);
constexpr std::uint32_t const tfVaultShareNonTransferable = 0x00020000;
constexpr std::uint32_t const tfVaultCreateMask = ~(tfUniversal | tfVaultPrivate | tfVaultShareNonTransferable);
// Batch Flags:
constexpr std::uint32_t tfAllOrNothing = 0x00010000;
constexpr std::uint32_t tfOnlyOne = 0x00020000;
constexpr std::uint32_t tfUntilFailure = 0x00040000;
constexpr std::uint32_t tfIndependent = 0x00080000;
/**
* @note If nested Batch transactions are supported in the future, the tfInnerBatchTxn flag
* will need to be removed from this mask to allow Batch transaction to be inside
* the sfRawTransactions array.
*/
constexpr std::uint32_t const tfBatchMask =
~(tfUniversal | tfAllOrNothing | tfOnlyOne | tfUntilFailure | tfIndependent) | tfInnerBatchTxn;
// LoanSet and LoanPay flags:
// LoanSet: True, indicates the loan supports overpayments
// LoanPay: True, indicates any excess in this payment can be used
// as an overpayment. False, no overpayments will be taken.
constexpr std::uint32_t const tfLoanOverpayment = 0x00010000;
// LoanPay exclusive flags:
// tfLoanFullPayment: True, indicates that the payment is an early
// full payment. It must pay the entire loan including close
// interest and fees, or it will fail. False: Not a full payment.
constexpr std::uint32_t const tfLoanFullPayment = 0x00020000;
// tfLoanLatePayment: True, indicates that the payment is late,
// and includes late interest and fees. If the loan is not late,
// it will fail. False: not a late payment. If the current payment
// is overdue, the transaction will fail.
constexpr std::uint32_t const tfLoanLatePayment = 0x00040000;
constexpr std::uint32_t const tfLoanSetMask = ~(tfUniversal |
tfLoanOverpayment);
constexpr std::uint32_t const tfLoanPayMask = ~(tfUniversal |
tfLoanOverpayment | tfLoanFullPayment | tfLoanLatePayment);
// LoanManage flags:
constexpr std::uint32_t const tfLoanDefault = 0x00010000;
constexpr std::uint32_t const tfLoanImpair = 0x00020000;
constexpr std::uint32_t const tfLoanUnimpair = 0x00040000;
constexpr std::uint32_t const tfLoanManageMask = ~(tfUniversal | tfLoanDefault | tfLoanImpair | tfLoanUnimpair);
// clang-format on
} // namespace xrpl

View File

@@ -2,8 +2,6 @@
#include <xrpl/protocol/KnownFormats.h>
#include <vector>
namespace xrpl {
/** Transaction type identifiers.
@@ -75,9 +73,6 @@ private:
public:
static TxFormats const&
getInstance();
static std::vector<SOElement> const&
getCommonFields();
};
} // namespace xrpl

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