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92 Commits

Author SHA1 Message Date
Pratik Mankawde
190b9470a4 docs(telemetry): fix xrpl.network.type value (standalone → unknown)
The network-type label is derived from [network_id] in TelemetryConfig.cpp;
unmapped/unset IDs fall through to "unknown", not "standalone". Align the
design-doc resource-attribute table with the code and cfg example.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-26 16:31:06 +01:00
Pratik Mankawde
4d5a71d327 Merge branch 'develop' into pratik/otel-phase1a-plan-docs 2026-06-26 14:23:21 +01:00
Ayaz Salikhov
50fdb38ace chore: Enable groups of clang-tidy checks by default (#7637) 2026-06-26 10:46:39 +00:00
Ayaz Salikhov
bb2ab4243b ci: Better determine when we need to run full clang-tidy (#7635) 2026-06-26 10:42:24 +00:00
Timothy Banks
2ab43b6fda refactor: Retire NFTokenReserve fix (#7367) 2026-06-26 10:31:16 +00:00
Timothy Banks
12a5d9014e refactor: Retire Clawback amendment (#7353) 2026-06-26 10:24:25 +00:00
Mayukha Vadari
b9eee1d245 refactor: Rename (mostly keylet) functions to more closely match the docs (#7059)
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-06-26 10:24:12 +00:00
Ayaz Salikhov
0711a7b493 build: Switch to a new conan XRPLF remote, again (#7638) 2026-06-25 22:06:04 +00:00
Ayaz Salikhov
07c64f07f0 chore: Revert "build: Switch to a new conan XRPLF remote (#7622)" (#7623) 2026-06-25 14:47:55 +00:00
Ayaz Salikhov
3097c157b6 build: Switch to a new conan XRPLF remote (#7622) 2026-06-25 08:40:06 -04:00
Michael Legleux
556d62a0de build: Align xrpld RPM packaging with DEB package (#7529) 2026-06-24 23:53:46 +00:00
Ayaz Salikhov
eef8f4a4ff chore: Use clang-tidy v22 new features (#7427) 2026-06-24 17:23:29 +00:00
Ayaz Salikhov
4fec58251b build: Patch nix binaries in CMake (#7539)
Co-authored-by: Bart <bthomee@users.noreply.github.com>
2026-06-24 13:56:18 +00:00
Ayaz Salikhov
8bbbc2051e chore: Check more tools to be available (#7600) 2026-06-24 12:25:03 +00:00
Mayukha Vadari
6736ab39df test: Add test for Permissioned Domain sequence fix (#7591)
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
2026-06-24 12:24:27 +00:00
Ayaz Salikhov
b68e1f7170 fix: Add pragma once checker (#7580) 2026-06-24 12:24:04 +00:00
Timothy Banks
bb7c4d1c9f fix: Additional RPC validation checks on ammRpcInfo account and amm_account fields. (#7324) 2026-06-24 12:23:12 +00:00
Zhiyuan Wang
69d289a388 fix: AMM Quality Leak into Domain BookStep for Permissioned DEX (#6853)
Co-authored-by: Copilot Autofix powered by AI <175728472+Copilot@users.noreply.github.com>
2026-06-24 12:15:45 +00:00
Jingchen
6341e75200 refactor: Refactor TaggedCache.ipp to remove const_cast in canonicalize_replace_cache (#5638)
Signed-off-by: JCW <a1q123456@users.noreply.github.com>
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
Co-authored-by: xrplf-ai-reviewer[bot] <266832837+xrplf-ai-reviewer[bot]@users.noreply.github.com>
2026-06-24 12:15:11 +00:00
yinyiqian1
5a2c82f699 fix: Reject delegate permission to pseudo accounts (#7597) 2026-06-23 19:55:23 +00:00
Jingchen
0b22050b5e ci: Update workflows and conan to use VS2026 and grpc 1.81.0 (#7550)
Co-authored-by: Ayaz Salikhov <mathbunnyru@users.noreply.github.com>
2026-06-23 19:25:38 +00:00
Bart
ff02269c0d refactor: Use dispatch instead of post (#7438)
Co-authored-by: Bart <11445373+bthomee@users.noreply.github.com>
2026-06-22 22:35:28 +00:00
Mayukha Vadari
dd7401fde2 refactor: Clean up tec object deletion logic (#6588)
Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com>
2026-06-22 18:44:42 +00:00
Zhiyuan Wang
19a9ed7767 fix: Move AMMInvariant weakInvariantCheck logic into the transaction (#7032) 2026-06-22 18:42:57 +00:00
Zhiyuan Wang
93eab33dc2 fix: Improve ValidAMM invariant (#7295) 2026-06-22 17:45:42 +00:00
yinyiqian1
997267f845 feat: Remove clear mutable flags for DynamicMPT XLS-94 (#7439) 2026-06-22 17:36:06 +00:00
Ayaz Salikhov
e29b523620 ci: Build and push docker images in forks too (#7588) 2026-06-22 17:00:40 +00:00
dependabot[bot]
b1f794f067 ci: [DEPENDABOT] bump actions/checkout from 6.0.3 to 7.0.0 (#7585)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-06-22 13:39:38 +00:00
Michael Legleux
b6a1ad5bb3 fix: Ensure xrpld service directories exist at startup (#7565) 2026-06-18 19:21:12 +00:00
yinyiqian1
772ea80a25 fix: Use template for granular delegation permissions (#6613)
Co-authored-by: Bart <bthomee@users.noreply.github.com>
2026-06-17 23:20:54 +00:00
solunolab
480676d0bf docs: Fix some comments to improve readability (#7405)
Signed-off-by: solunolab <solunolab@outlook.com>
Co-authored-by: Ayaz Salikhov <mathbunnyru@users.noreply.github.com>
2026-06-17 13:55:00 +00:00
Michael Legleux
f07de6c454 ci: Disable assertions on Release builds (#7443) 2026-06-17 13:54:55 +00:00
Ayaz Salikhov
cb2642be05 build: Add graphviz to Nix images (#7566) 2026-06-17 13:54:46 +00:00
Pratik Mankawde
7e0ff536f5 refactor: Rerevert "Explicitly trim the heap after cache sweeps (#6022)"
Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>
2026-06-17 13:31:43 +01:00
Pratik Mankawde
044ca7719d release: Bump version to 3.3.0-b0
Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>
2026-06-17 12:58:01 +01:00
Pratik Mankawde
cccce1c32e Merge remote-tracking branch 'origin/release/3.2.x' into pratik/merge_3.2.x
Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>
2026-06-17 12:53:02 +01:00
Ayaz Salikhov
5de434436e ci: Make clang-tidy workflow adjustments to stay in sync with Clio (#7563) 2026-06-17 10:02:17 +00:00
Ayaz Salikhov
45ddc1d868 build: Add git-lfs to Nix images (#7561) 2026-06-16 23:13:33 +00:00
Ayaz Salikhov
7b9d55326d build: Add zip to Nix images (#7551) 2026-06-16 17:35:33 +00:00
Ayaz Salikhov
0364e4dc41 docs: Rewrite build environment docs (#7533)
Co-authored-by: Ed Hennis <ed@ripple.com>
2026-06-16 13:24:12 +00:00
Ayaz Salikhov
3c43f4614f release: Bump version to 3.2.0 2026-06-15 19:46:56 -04:00
dependabot[bot]
6b63f0ff61 ci: [DEPENDABOT] bump codecov/codecov-action from 6.0.1 to 7.0.0 (#7426)
Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
2026-06-15 19:46:49 -04:00
Bart
0ac8e6cf1e release: Bump version to 3.2.0-rc6 2026-06-15 22:24:03 +01:00
Vito Tumas
ed5f13481a fix: Disable transaction invariants 2026-06-15 22:24:03 +01:00
Vito Tumas
781ef175c9 perf: Dispatch "hasInvalidAmount()" on type tag instead of dynamic_cast 2026-06-15 22:24:03 +01:00
Ed Hennis
e5785c4fcb fix: Fix Number comparison operator 2026-06-15 22:24:02 +01:00
Michael Legleux
96d0563ea6 fix: Adjust xrpld systemd service 2026-06-15 22:24:02 +01:00
Bart
61dae6f792 release: Bump version to 3.2.0-rc5 2026-06-15 22:24:02 +01:00
yinyiqian1
fded06652a fix: Add zero NFT Offer ID check for NFTokenCancelOffer 2026-06-15 22:24:02 +01:00
Valentin Balaschenko
e833e8884d refactor: Revert "Explicitly trim the heap after cache sweeps (#6022)" 2026-06-15 22:24:02 +01:00
Michael Legleux
8e3eabc398 refactor: Remove auto-update script and update RPM version
* refactor: Update RPM version scheme; remove auto-update script; service hardening

- **RPM version scheme**: pre-releases now use `~` in the `Version` field instead of the `0.<release>.<suffix>` `Release`-field hack. Matches Debian's `~` convention, so RPM and DEB version strings are symmetric. Requires rpm ≥ 4.10 (RHEL 9 ships 4.17).

  Before/after for a pre-release build:
  ```
  # before
  xrpld-3.2.0-0.1.rc3+202606011647.d4cb68d5.el9.x86_64.rpm

  # after (symmetric with DEB)
  xrpld-3.2.0~rc2+202606010139.7679a310-1.el9.x86_64.rpm
  xrpld_3.2.0~rc2+202606010139.7679a310-1_amd64.deb
  ```
- **Auto-update removed**: `update-xrpld`, `update-xrpld.service`, and `update-xrpld.timer` deleted. The `50-xrpld.preset` `disable` line for the timer is dropped too.
- **Service hardening** (two new `[Service]` directives in `xrpld.service`):
  - `CapabilityBoundingSet=CAP_NET_BIND_SERVICE` — drops every Linux capability except `CAP_NET_BIND_SERVICE`, capping the privilege ceiling to least-privilege while still letting operators bind ports <1024 (e.g. WS/HTTPS on 443).
  - `SystemCallArchitectures=native` — restricts the service to the native syscall ABI, blocking alternate-ABI (32-bit/x32) syscalls used to evade seccomp filtering.

- [ ] Build RPM from a pre-release version (e.g. `3.2.0-b1`) and confirm `rpm -qi` shows `Version: 3.2.0~b1`, `Release: 1`
- [ ] Confirm `3.2.0~b1` sorts before `3.2.0` via `rpmvercmp`
- [ ] Install package and confirm no `update-xrpld*` units appear in `systemctl list-unit-files`
- [ ] Confirm `systemctl show xrpld` reflects the new `CapabilityBoundingSet` and `SystemCallArchitectures`

* fix: Track tmpfiles-created directories in RPM %files as %ghost
2026-06-15 22:24:02 +01:00
Sergey Kuznetsov
47b06ecd17 refactor: Use rocksdb includes only when it is available 2026-06-15 22:23:54 +01:00
Bart
5a25c9188b release: Bump version to 3.2.0-rc4 2026-06-15 22:23:53 +01:00
Bart
82ee5b7556 refactor: Handle int and uint API versions separately 2026-06-15 22:23:38 +01:00
Pratik Mankawde
f98c251011 refactor: Improve tracking of book (un)subscriptions 2026-06-15 22:23:38 +01:00
Sergey Kuznetsov
e29dc474b3 refactor: Improve payment channel closing and returned error codes 2026-06-15 22:23:28 +01:00
Pratik Mankawde
2728e11809 fix: Set request size limits and differential pricing for get-object-by-hash calls 2026-06-15 22:23:28 +01:00
Jingchen
9650fe8a6e refactor: Use explicit types to help compiler 2026-06-15 22:22:53 +01:00
Pratik Mankawde
2df96b1550 fix: Silence UBSan diagnostics in the ubsan build config (#7531)
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-15 19:25:37 +00:00
Ayaz Salikhov
fe4c8ae82a build: Add ClangBuildAnalyzer to Nix (#7538)
Co-authored-by: Bart <bthomee@users.noreply.github.com>
2026-06-15 19:04:33 +00:00
Zhiyuan Wang
b34aa84e5a fix: Check Fee-Free Division by Zero in AMMWithdraw singleWithdrawEPrice (#6989) 2026-06-15 15:31:22 +00:00
Bart
f5985e73ec fix: Always charge peer on strand (#7422)
Co-authored-by: Bart <11445373+bthomee@users.noreply.github.com>
2026-06-15 14:55:56 +00:00
Sergey Kuznetsov
4387aac1a5 chore: Remove conan patch in nix (#7534) 2026-06-15 14:55:43 +00:00
Pratik Mankawde
34f41ea37f Merge branch 'develop' into pratik/otel-phase1a-plan-docs 2026-06-12 20:19:22 +01:00
Pratik Mankawde
46dbc92b5f code review comments addressed
Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>
2026-06-12 20:18:12 +01:00
Pratik Mankawde
c3ccde3e39 docs(telemetry): document the span-attribute naming rules
State the rules so they stay consistent across code, collector, Tempo,
dashboards, and docs:

- Per-span-unique field -> bare name (the span name carries the domain).
- Same concept on more than one span -> ONE shared key, reused verbatim and
  distinguished by span name, never tagged with the emitting workflow
  (e.g. ledger_hash, full_validation, proposal_trusted/validation_trusted).
  Defined once in the base SpanNames.h and re-exported by each domain header.
- Collision qualifier <domain>_<field> only to separate DIFFERENT concepts that
  share a word, or the OTel-reserved status key (rpc_status, consensus_state).
- Dotted xrpl.<...> is reserved for resource attributes (xrpl.network.*).

Updates CONTRIBUTING.md (permanent home) and OpenTelemetryPlan §2.3.3.
2026-06-11 23:01:55 +01:00
Pratik Mankawde
df395d6851 test: Add null check unit test for Oracle::aggregatePrice (#7306)
Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>
2026-06-11 18:05:36 +00:00
Ayaz Salikhov
8e618d68cd ci: Patch conan recipe for Nix to be able to use on macOS (#7532) 2026-06-11 17:36:33 +00:00
Pratik Mankawde
d6450631bf removed code blocks from plan docs
Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>
2026-06-11 14:29:01 +01:00
Ayaz Salikhov
cee157485e ci: Run sanitizers on release builds too (#7527) 2026-06-11 12:59:22 +00:00
Pratik Mankawde
c0272f1314 docs: Add span attribute naming convention (OTel phase 1a)
Establish the single, authoritative naming convention for OpenTelemetry
span attribute keys so the code, collector, Tempo, dashboards, and docs
stay in sync.

- CONTRIBUTING.md: new "Telemetry span attribute naming" section under
  the Style guide as the permanent, canonical home for the rules.
- OpenTelemetryPlan/02-design-decisions.md: new section 2.3.3 stating the
  decided convention as design, and section 2.4 attribute schema realigned
  to the underscore form (exact key spelling defers to the *SpanNames.h
  constants).
- Sweep the remaining plan docs: convert dotted xrpl.<domain>.<field> span
  attribute keys to the underscore form; leave span names and the
  OTel-standard service.*/http.* and xrpl.network.* resource keys dotted.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-11 13:29:53 +01:00
Pratik Mankawde
ede8a53a76 Merge branch 'develop' into pratik/otel-phase1a-plan-docs 2026-06-11 13:00:53 +01:00
Pratik Mankawde
4f53291fe8 Merge branch 'develop' into pratik/otel-phase1a-plan-docs 2026-06-10 10:14:28 +01:00
Pratik Mankawde
5598b0eac7 docs(telemetry): fix head sampling at 1.0, remove configurable ratio
Document that head sampling is intentionally fixed at 100% and no longer
exposes a sampling_ratio config knob. A per-node ratio let nodes make
divergent keep/drop decisions for the same distributed trace, producing
broken/partial traces; pinning at 1.0 with a ParentBased sampler keeps
decisions coherent across the network. Volume reduction is delegated to
collector-side tail sampling.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-09 18:22:52 +01:00
Pratik Mankawde
fe13359024 docs(telemetry): enable peer tracing by default in plan docs
Flip trace_peer default false->true across the Phase-1a plan docs and
correct the rationale: peer spans record only peer_id (numeric local
connection id) plus trust/ledger metadata, never IP addresses or public
keys, so the 'includes addresses' caveat was inaccurate. The high-volume
note is retained.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-09 13:34:20 +01:00
Pratik Mankawde
f5f13df5ff Merge branch 'develop' into pratik/otel-phase1a-plan-docs 2026-06-08 16:57:42 +01:00
Pratik Mankawde
b46ee12a19 formatting fixes
Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>
2026-06-03 14:07:21 +01:00
Pratik Mankawde
154d441ff2 Merge branch 'develop' into pratik/otel-phase1a-plan-docs 2026-06-01 11:52:46 +01:00
Pratik Mankawde
e1163f7180 Merge branch 'develop' into pratik/otel-phase1a-plan-docs
Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>
2026-05-29 15:30:02 +01:00
Pratik Mankawde
f3a095ab65 docs(telemetry): align Phase 1a plan docs with Phase 1b implementation
Phase-1a plan documents advertised OTLP/gRPC on port 4317 as the default
exporter, four unparsed [telemetry] config keys, and "Phase 4a Complete"
status with exit-criteria checkboxes marked done. Every downstream branch
through Phase 5 ships only OTLP/HTTP on port 4318 via OtlpHttpExporterFactory,
never parses the advertised keys, and the Phase 4 work is not yet delivered.

Fixes:
- 02-design-decisions.md: flip §2.1.1 SDK dependency recommendations to
  OTLP/HTTP (shipped) with OTLP/gRPC marked Future. Update §2.2 architecture
  diagram and text from OTLP/gRPC:4317 to OTLP/HTTP:4318. Rewrite §2.2.1 as
  "OTLP/HTTP (Shipped)" and §2.2.2 as "OTLP/gRPC (Future Work — Planned
  Upgrade)" with a concrete checklist (Conan dep, config parsing, factory
  branch, runbook/dashboard updates) for landing the gRPC transport later.
- 05-configuration-reference.md: drop the fabricated exporter/otlp_grpc key
  and the :4317 default from the sample config block and the options-summary
  table. Move trace_pathfind, trace_txq, trace_validator, trace_amendment
  into a new "Planned (not yet implemented)" table citing the phase that will
  add each one. Keep the example config minimal so copy-paste does not produce
  a silently-ignored stanza.
- 06-implementation-phases.md: reset Phase 4 Exit Criteria checkboxes from
  [x] to [ ] (Phase 4 is not shipped at Phase-1a time). Rename "Phase 4a
  Complete" to "Phase 4a Plan" and describe the work as future. Replace the
  broken forward link to Phase4_taskList.md (introduced in the Phase 2 PR)
  with a sentence pointing readers to where that spec will land. Renumber
  the final section 6.12 to 6.11 so it sits directly after 6.10; section 6.11
  ("Effort Summary") was intentionally removed in earlier edits.
2026-05-14 16:09:48 +01:00
Pratik Mankawde
1fd971b78b fix(docs): apply rename scripts to OpenTelemetry plan docs
Run .github/scripts/rename/docs.sh to replace rippled → xrpld
references in all plan documentation files, fixing the check-rename
CI failure.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-28 13:57:38 +01:00
Pratik Mankawde
d6c8dec451 Merge branch 'develop' into pratik/otel-phase1a-plan-docs 2026-04-28 11:19:51 +01:00
Pratik Mankawde
30ecb32a6f Merge branch 'develop' into pratik/otel-phase1a-plan-docs 2026-04-27 19:42:09 +01:00
Pratik Mankawde
a01b274352 Merge branch 'develop' into pratik/otel-phase1a-plan-docs 2026-04-20 17:21:44 +01:00
Pratik Mankawde
193f5b39cb docs(telemetry): update plan docs for ServiceRegistry migration
Plan documents referenced Application.h and app_ for getTelemetry()
but the codebase now uses ServiceRegistry as the interface. Updated:

- 05-configuration-reference.md: getTelemetry() on ServiceRegistry,
  deferred serviceInstanceId pattern in ApplicationImp
- POC_taskList.md Task 4: target ServiceRegistry.h not Application.h,
  correct config file path and constructor pattern
- 04-code-samples.md: fix overlay() -> getOverlay(), rewrite JobQueue
  sample to reflect actual architecture (no app_ member)
- 03-implementation-strategy.md: fix file impact table path

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-16 15:37:13 +01:00
Pratik Mankawde
db8111ef7c docs(telemetry): replace Jaeger with Tempo in architecture diagram
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-04-16 15:00:48 +01:00
Pratik Mankawde
913a4b794c docs: correct OTel overhead estimates against SDK benchmarks
Verified CPU, memory, and network overhead calculations against
official OTel C++ SDK benchmarks (969 CI runs) and source code
analysis. Key corrections:

- Span creation: 200-500ns → 500-1000ns (SDK BM_SpanCreation median
  ~1000ns; original estimate matched API no-op, not SDK path)
- Per-TX overhead: 2.4μs → 4.0μs (2.0% vs 1.2%; still within 1-3%)
- Active span memory: ~200 bytes → ~500-800 bytes (Span wrapper +
  SpanData + std::map attribute storage)
- Static memory: ~456KB → ~8.3MB (BatchSpanProcessor worker thread
  stack ~8MB was omitted)
- Total memory ceiling: ~2.3MB → ~10MB
- Memory success metric target: <5MB → <10MB
- AddEvent: 50-80ns → 100-200ns

Added Section 3.5.4 with links to all benchmark sources.
Updated presentation.md with matching corrections.
High-level conclusions unchanged (1-3% CPU, negligible consensus).

Also includes: review fixes, cross-document consistency improvements,
additional component tracing docs (PathFinding, TxQ, Validator, etc.),
context size corrections (32 → 25 bytes).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-16 15:00:47 +01:00
Pratik Mankawde
accea17e9d moved presentation.md file
Signed-off-by: Pratik Mankawde <3397372+pratikmankawde@users.noreply.github.com>
2026-04-16 15:00:47 +01:00
Pratik Mankawde
c6fa00fbe3 Remove effort estimates from implementation phases document
Strip effort/risk columns from task tables and remove the §6.9 Effort
Summary section with its pie chart and resource requirements table.
Renumber §6.10 Quick Wins → §6.9.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-16 15:00:47 +01:00
Pratik Mankawde
bfb8f4f01a Add Phase 4a implementation status to plan docs
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-16 15:00:47 +01:00
Pratik Mankawde
4b745a86b7 Appendix: add 00-tracing-fundamentals.md and POC_taskList.md to document index
Split document index into Plan Documents and Task Lists sections.
These files were introduced in this branch but missing from the index.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-16 15:00:47 +01:00
Pratik Mankawde
ddf894dcb0 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>
2026-04-16 15:00:47 +01:00
343 changed files with 10812 additions and 4852 deletions

View File

@@ -1,158 +1,162 @@
---
Checks: "-*,
bugprone-argument-comment,
bugprone-assert-side-effect,
bugprone-bad-signal-to-kill-thread,
bugprone-bool-pointer-implicit-conversion,
bugprone-capturing-this-in-member-variable,
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-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-misleading-setter-of-reference,
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-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-unchecked-optional-access,
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-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-rvalue-reference-param-not-moved,
cppcoreguidelines-use-default-member-init,
cppcoreguidelines-use-enum-class,
cppcoreguidelines-virtual-class-destructor,
hicpp-ignored-remove-result,
bugprone-*,
-bugprone-assignment-in-if-condition,
-bugprone-bitwise-pointer-cast,
-bugprone-branch-clone,
-bugprone-command-processor,
-bugprone-copy-constructor-mutates-argument,
-bugprone-default-operator-new-on-overaligned-type,
-bugprone-easily-swappable-parameters,
-bugprone-exception-copy-constructor-throws,
-bugprone-exception-escape,
-bugprone-float-loop-counter,
-bugprone-forwarding-reference-overload,
-bugprone-implicit-widening-of-multiplication-result,
-bugprone-incorrect-enable-shared-from-this,
-bugprone-narrowing-conversions,
-bugprone-nondeterministic-pointer-iteration-order,
-bugprone-not-null-terminated-result,
-bugprone-random-generator-seed,
-bugprone-raw-memory-call-on-non-trivial-type,
-bugprone-std-namespace-modification,
-bugprone-tagged-union-member-count,
-bugprone-throwing-static-initialization,
-bugprone-unchecked-string-to-number-conversion,
-bugprone-unintended-char-ostream-output,
cppcoreguidelines-*,
-cppcoreguidelines-avoid-c-arrays,
-cppcoreguidelines-avoid-capturing-lambda-coroutines,
-cppcoreguidelines-avoid-const-or-ref-data-members,
-cppcoreguidelines-avoid-do-while,
-cppcoreguidelines-avoid-goto,
-cppcoreguidelines-avoid-magic-numbers,
-cppcoreguidelines-avoid-non-const-global-variables,
-cppcoreguidelines-avoid-reference-coroutine-parameters,
-cppcoreguidelines-c-copy-assignment-signature,
-cppcoreguidelines-explicit-virtual-functions,
-cppcoreguidelines-interfaces-global-init,
-cppcoreguidelines-macro-to-enum,
-cppcoreguidelines-macro-usage,
-cppcoreguidelines-missing-std-forward,
-cppcoreguidelines-narrowing-conversions,
-cppcoreguidelines-no-malloc,
-cppcoreguidelines-noexcept-destructor,
-cppcoreguidelines-noexcept-move-operations,
-cppcoreguidelines-noexcept-swap,
-cppcoreguidelines-non-private-member-variables-in-classes,
-cppcoreguidelines-owning-memory,
-cppcoreguidelines-prefer-member-initializer,
-cppcoreguidelines-pro-bounds-array-to-pointer-decay,
-cppcoreguidelines-pro-bounds-avoid-unchecked-container-access,
-cppcoreguidelines-pro-bounds-constant-array-index,
-cppcoreguidelines-pro-bounds-pointer-arithmetic,
-cppcoreguidelines-pro-type-const-cast,
-cppcoreguidelines-pro-type-cstyle-cast,
-cppcoreguidelines-pro-type-reinterpret-cast,
-cppcoreguidelines-pro-type-union-access,
-cppcoreguidelines-pro-type-vararg,
-cppcoreguidelines-slicing,
-cppcoreguidelines-special-member-functions,
llvm-namespace-comment,
misc-const-correctness,
misc-definitions-in-headers,
misc-header-include-cycle,
misc-include-cleaner,
misc-misplaced-const,
misc-redundant-expression,
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,
modernize-use-emplace,
modernize-use-equals-default,
modernize-use-equals-delete,
modernize-use-nodiscard,
modernize-use-override,
modernize-use-ranges,
modernize-use-scoped-lock,
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-ambiguous-smartptr-reset-call,
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-identifier-naming,
readability-implicit-bool-conversion,
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-definition-in-anonymous-namespace,
readability-suspicious-call-argument,
readability-use-std-min-max
misc-*,
-misc-anonymous-namespace-in-header,
-misc-confusable-identifiers,
-misc-coroutine-hostile-raii,
-misc-misleading-bidirectional,
-misc-misleading-identifier,
-misc-multiple-inheritance,
-misc-new-delete-overloads,
-misc-no-recursion,
-misc-non-copyable-objects,
-misc-non-private-member-variables-in-classes,
-misc-override-with-different-visibility,
-misc-predictable-rand,
-misc-unconventional-assign-operator,
-misc-uniqueptr-reset-release,
-misc-unused-parameters,
-misc-use-anonymous-namespace,
-misc-use-internal-linkage,
modernize-*,
-modernize-avoid-bind,
-modernize-avoid-c-arrays,
-modernize-avoid-c-style-cast,
-modernize-avoid-setjmp-longjmp,
-modernize-avoid-variadic-functions,
-modernize-deprecated-ios-base-aliases,
-modernize-loop-convert,
-modernize-macro-to-enum,
-modernize-min-max-use-initializer-list,
-modernize-raw-string-literal,
-modernize-redundant-void-arg,
-modernize-replace-auto-ptr,
-modernize-replace-disallow-copy-and-assign-macro,
-modernize-replace-random-shuffle,
-modernize-return-braced-init-list,
-modernize-shrink-to-fit,
-modernize-unary-static-assert,
-modernize-use-auto,
-modernize-use-bool-literals,
-modernize-use-constraints,
-modernize-use-default-member-init,
-modernize-use-integer-sign-comparison,
-modernize-use-noexcept,
-modernize-use-nullptr,
-modernize-use-std-format,
-modernize-use-std-print,
-modernize-use-trailing-return-type,
-modernize-use-transparent-functors,
-modernize-use-uncaught-exceptions,
performance-*,
-performance-avoid-endl,
-performance-enum-size,
-performance-inefficient-algorithm,
-performance-inefficient-string-concatenation,
-performance-no-int-to-ptr,
-performance-noexcept-destructor,
-performance-noexcept-move-constructor,
-performance-noexcept-swap,
-performance-type-promotion-in-math-fn,
-performance-unnecessary-copy-initialization,
-performance-unnecessary-value-param,
readability-*,
-readability-avoid-const-params-in-decls,
-readability-avoid-unconditional-preprocessor-if,
-readability-container-data-pointer,
-readability-delete-null-pointer,
-readability-function-cognitive-complexity,
-readability-function-size,
-readability-identifier-length,
-readability-inconsistent-declaration-parameter-name,
-readability-isolate-declaration,
-readability-magic-numbers,
-readability-misplaced-array-index,
-readability-named-parameter,
-readability-operators-representation,
-readability-qualified-auto,
-readability-redundant-access-specifiers,
-readability-redundant-control-flow,
-readability-redundant-function-ptr-dereference,
-readability-redundant-preprocessor,
-readability-redundant-smartptr-get,
-readability-redundant-string-cstr,
-readability-simplify-subscript-expr,
-readability-static-accessed-through-instance,
-readability-string-compare,
-readability-uniqueptr-delete-release,
-readability-uppercase-literal-suffix,
-readability-use-anyofallof,
-readability-use-concise-preprocessor-directives
"
# ---
# bugprone-narrowing-conversions, # This will break a lot of code but we should enable it in the future because it can eliminate a lot of bugs
# misc-override-with-different-visibility, # Will be addressed in a future PR, but for now it generates too many warnings
# readability-inconsistent-declaration-parameter-name, # In this codebase this check will break a lot of arg names
# readability-static-accessed-through-instance, # this check is probably unnecessary. It makes the code less readable
# ---

View File

@@ -96,3 +96,6 @@ function(verbose_find_path variable name)
${ARGN}
)
endfunction()
function(patch_nix_binary target)
endfunction()

View File

@@ -9,7 +9,7 @@ inputs:
remote_url:
description: "The URL of the Conan endpoint to use."
required: false
default: https://conan.ripplex.io
default: https://conan.xrplf.org/repository/conan/
runs:
using: composite

View File

@@ -14,7 +14,6 @@ libxrpl.ledger > xrpl.json
libxrpl.ledger > xrpl.ledger
libxrpl.ledger > xrpl.nodestore
libxrpl.ledger > xrpl.protocol
libxrpl.ledger > xrpl.server
libxrpl.ledger > xrpl.shamap
libxrpl.net > xrpl.basics
libxrpl.net > xrpl.net
@@ -84,7 +83,6 @@ test.conditions > xrpl.basics
test.conditions > xrpl.conditions
test.consensus > test.csf
test.consensus > test.jtx
test.consensus > test.toplevel
test.consensus > test.unit_test
test.consensus > xrpl.basics
test.consensus > xrpld.app
@@ -221,7 +219,6 @@ xrpl.core > xrpl.protocol
xrpl.json > xrpl.basics
xrpl.ledger > xrpl.basics
xrpl.ledger > xrpl.protocol
xrpl.ledger > xrpl.server
xrpl.ledger > xrpl.shamap
xrpl.net > xrpl.basics
xrpl.nodestore > xrpl.basics

View File

@@ -20,8 +20,6 @@ _SANITIZER_SUFFIX: dict[str, str] = {
def get_cmake_args(build_type: str, extra_args: str) -> str:
"""Get the full list of CMake arguments for a config."""
args = _BASE_CMAKE_ARGS.copy()
if build_type == "Release":
args.append("-Dassert=ON")
if extra_args:
args.extend(extra_args.split())
return " ".join(args)

View File

@@ -1,5 +1,5 @@
{
"image_tag": "sha-63ffdc3",
"image_tag": "sha-e29b523",
"configs": {
"ubuntu": [
{
@@ -10,7 +10,7 @@
{
"compiler": ["gcc", "clang"],
"build_type": ["Debug"],
"build_type": ["Debug", "Release"],
"arch": ["amd64"],
"sanitizers": ["address", "undefinedbehavior"]
},
@@ -68,7 +68,7 @@
"compiler": ["gcc"],
"build_type": ["Release"],
"arch": ["amd64"],
"image": "ghcr.io/xrplf/xrpld/packaging-debian:sha-63ffdc3"
"image": "ghcr.io/xrplf/xrpld/packaging-debian:sha-577d745"
}
],
@@ -77,7 +77,7 @@
"compiler": ["gcc"],
"build_type": ["Release"],
"arch": ["amd64"],
"image": "ghcr.io/xrplf/xrpld/packaging-rhel:sha-63ffdc3"
"image": "ghcr.io/xrplf/xrpld/packaging-rhel:sha-577d745"
}
]
}

View File

@@ -1,6 +1,6 @@
{
"platform": "windows/amd64",
"runner": ["self-hosted", "Windows", "devbox"],
"runner": ["self-hosted", "Windows", "dev-box-windows-2026"],
"configs": [
{ "build_type": "Release" },
{

View File

@@ -9,12 +9,20 @@ on:
- "flake.nix"
- "flake.lock"
- "nix/**"
- "!nix/docker/README.md"
- "!nix/devshell.nix"
- "bin/check-tools.sh"
- "bin/install-sanitizer-libs.sh"
pull_request:
paths:
- ".github/workflows/build-nix-images.yml"
- "flake.nix"
- "flake.lock"
- "nix/**"
- "!nix/docker/README.md"
- "!nix/devshell.nix"
- "bin/check-tools.sh"
- "bin/install-sanitizer-libs.sh"
workflow_dispatch:
concurrency:
@@ -46,9 +54,9 @@ jobs:
base_image: debian:bookworm
- name: rhel
base_image: registry.access.redhat.com/ubi9/ubi:latest
uses: XRPLF/actions/.github/workflows/build-multiarch-image.yml@c1b480188519e0cad040e6aa70db1cbc5a797e07
uses: XRPLF/actions/.github/workflows/build-multiarch-image.yml@ee03d31bcc4501d7599dc1b1ecd7a34af582ad1c
with:
image_name: ghcr.io/xrplf/xrpld/nix-${{ matrix.distro.name }}
image_name: xrpld/nix-${{ matrix.distro.name }}
dockerfile: nix/docker/Dockerfile
base_image: ${{ matrix.distro.base_image }}
push: ${{ github.repository == 'XRPLF/rippled' && github.event_name == 'push' }}
push: ${{ github.event_name == 'push' }}

View File

@@ -38,9 +38,9 @@ jobs:
base_image: debian:bookworm
- name: rhel
base_image: registry.access.redhat.com/ubi9/ubi:latest
uses: XRPLF/actions/.github/workflows/build-multiarch-image.yml@c1b480188519e0cad040e6aa70db1cbc5a797e07
uses: XRPLF/actions/.github/workflows/build-multiarch-image.yml@ee03d31bcc4501d7599dc1b1ecd7a34af582ad1c
with:
image_name: ghcr.io/xrplf/xrpld/packaging-${{ matrix.distro.name }}
image_name: xrpld/packaging-${{ matrix.distro.name }}
dockerfile: package/Dockerfile
base_image: ${{ matrix.distro.base_image }}
push: ${{ github.repository == 'XRPLF/rippled' && github.event_name == 'push' }}
push: ${{ github.event_name == 'push' }}

View File

@@ -23,7 +23,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- name: Write PR body to file
env:

View File

@@ -33,7 +33,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- name: Determine changed files
# This step checks whether any files have changed that should
# cause the next jobs to run. We do it this way rather than
@@ -70,6 +70,7 @@ jobs:
.github/workflows/reusable-upload-recipe.yml
.clang-tidy
.codecov.yml
bin/check-tools.sh
cfg/**
cmake/**
conan/**
@@ -121,7 +122,6 @@ jobs:
issues: write
contents: read
with:
check_only_changed: true
create_issue_on_failure: false
build-test:
@@ -153,8 +153,8 @@ jobs:
if: ${{ github.repository == 'XRPLF/rippled' && needs.should-run.outputs.go == 'true' && github.event_name == 'pull_request' && startsWith(github.event.pull_request.base.ref, 'release') }}
uses: ./.github/workflows/reusable-upload-recipe.yml
secrets:
remote_username: ${{ secrets.CONAN_REMOTE_USERNAME }}
remote_password: ${{ secrets.CONAN_REMOTE_PASSWORD }}
remote_username: ${{ secrets.NEXUS_REMOTE_USERNAME }}
remote_password: ${{ secrets.NEXUS_REMOTE_PASSWORD }}
notify-clio:
needs: upload-recipe

View File

@@ -20,8 +20,8 @@ jobs:
if: ${{ github.repository == 'XRPLF/rippled' }}
uses: ./.github/workflows/reusable-upload-recipe.yml
secrets:
remote_username: ${{ secrets.CONAN_REMOTE_USERNAME }}
remote_password: ${{ secrets.CONAN_REMOTE_PASSWORD }}
remote_username: ${{ secrets.NEXUS_REMOTE_USERNAME }}
remote_password: ${{ secrets.NEXUS_REMOTE_PASSWORD }}
build-test:
if: ${{ github.repository == 'XRPLF/rippled' }}

View File

@@ -27,6 +27,7 @@ on:
- ".github/workflows/reusable-upload-recipe.yml"
- ".clang-tidy"
- ".codecov.yml"
- "bin/check-tools.sh"
- "cfg/**"
- "cmake/**"
- "conan/**"
@@ -71,7 +72,6 @@ jobs:
issues: write
contents: read
with:
check_only_changed: false
create_issue_on_failure: ${{ github.event_name == 'schedule' }}
build-test:
@@ -97,8 +97,8 @@ jobs:
if: ${{ github.repository == 'XRPLF/rippled' && github.event_name == 'push' && github.ref == 'refs/heads/develop' }}
uses: ./.github/workflows/reusable-upload-recipe.yml
secrets:
remote_username: ${{ secrets.CONAN_REMOTE_USERNAME }}
remote_password: ${{ secrets.CONAN_REMOTE_PASSWORD }}
remote_username: ${{ secrets.NEXUS_REMOTE_USERNAME }}
remote_password: ${{ secrets.NEXUS_REMOTE_PASSWORD }}
package:
needs: build-test

View File

@@ -14,7 +14,7 @@ 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@312aaab296060ff89d7f798dcab59f019bea6e02
uses: XRPLF/actions/.github/workflows/pre-commit.yml@e06d4138c9ec8dceeb7c818645faa38087ea9e3d
with:
runs_on: ubuntu-latest
container: '{ "image": "ghcr.io/xrplf/ci/tools-rippled-pre-commit:sha-41ec7c1" }'

View File

@@ -41,10 +41,10 @@ env:
jobs:
build:
runs-on: ubuntu-latest
container: ghcr.io/xrplf/xrpld/nix-ubuntu:sha-63ffdc3
container: ghcr.io/xrplf/xrpld/nix-ubuntu:sha-e29b523
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- name: Prepare runner
uses: XRPLF/actions/prepare-runner@c47daebb2f9db64ffbac71b47d68a661498d5ce8

View File

@@ -82,7 +82,7 @@ jobs:
name: ${{ inputs.config_name }}
runs-on: ${{ fromJSON(inputs.runs_on) }}
container: ${{ inputs.image != '' && inputs.image || null }}
timeout-minutes: ${{ inputs.sanitizers != '' && 360 || 90 }}
timeout-minutes: ${{ inputs.sanitizers != '' && 360 || 180 }}
env:
# Use a namespace to keep the objects separate for each configuration.
CCACHE_NAMESPACE: ${{ inputs.config_name }}
@@ -110,7 +110,7 @@ jobs:
uses: XRPLF/actions/cleanup-workspace@c7d9ce5ebb03c752a354889ecd870cadfc2b1cd4
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- name: Prepare runner
uses: XRPLF/actions/prepare-runner@c47daebb2f9db64ffbac71b47d68a661498d5ce8
@@ -121,6 +121,11 @@ jobs:
if: ${{ inputs.ccache_enabled && runner.debug == '1' }}
run: echo "CCACHE_LOGFILE=${{ runner.temp }}/ccache.log" >>"${GITHUB_ENV}"
- name: Check tools
env:
CHECK_TOOLS_SKIP_CLONE: "1"
run: ./bin/check-tools.sh
- name: Print build environment
uses: XRPLF/actions/print-build-env@59dec886e4afb05a1724443af08baccbc045b574
@@ -158,12 +163,33 @@ jobs:
CMAKE_ARGS: ${{ inputs.cmake_args }}
run: |
cmake \
-G '${{ runner.os == 'Windows' && 'Visual Studio 17 2022' || 'Ninja' }}' \
-G '${{ runner.os == 'Windows' && 'Visual Studio 18 2026' || 'Ninja' }}' \
-DCMAKE_TOOLCHAIN_FILE:FILEPATH=build/generators/conan_toolchain.cmake \
-DCMAKE_BUILD_TYPE="${BUILD_TYPE}" \
${CMAKE_ARGS} \
..
# Export the sanitizer options before any instrumented binary runs. The
# protocol code-gen and build steps below invoke instrumented dependency
# tools (protoc, grpc), so setting UBSAN_OPTIONS here lets the UBSan
# suppression list silence their diagnostics too, not just at test time.
# GITHUB_WORKSPACE (not the github.workspace context) is used so the path
# resolves correctly inside the container job.
- name: Set sanitizer options
if: ${{ !inputs.build_only && env.SANITIZERS_ENABLED == 'true' }}
env:
CONFIG_NAME: ${{ inputs.config_name }}
run: |
SUPP="${GITHUB_WORKSPACE}/sanitizers/suppressions"
ASAN_OPTS="include=${SUPP}/runtime-asan-options.txt:suppressions=${SUPP}/asan.supp"
if [[ "${CONFIG_NAME}" == *gcc* ]]; then
ASAN_OPTS="${ASAN_OPTS}:alloc_dealloc_mismatch=0"
fi
echo "ASAN_OPTIONS=${ASAN_OPTS}" >>${GITHUB_ENV}
echo "TSAN_OPTIONS=include=${SUPP}/runtime-tsan-options.txt:suppressions=${SUPP}/tsan.supp" >>${GITHUB_ENV}
echo "UBSAN_OPTIONS=include=${SUPP}/runtime-ubsan-options.txt:suppressions=${SUPP}/ubsan.supp" >>${GITHUB_ENV}
echo "LSAN_OPTIONS=include=${SUPP}/runtime-lsan-options.txt:suppressions=${SUPP}/lsan.supp" >>${GITHUB_ENV}
- name: Check protocol autogen files are up-to-date
working-directory: ${{ env.BUILD_DIR }}
env:
@@ -203,21 +229,6 @@ jobs:
--parallel "${BUILD_NPROC}" \
--target "${CMAKE_TARGET}"
# This step is needed to allow running in non-Nix environments
- name: Patch binary to use default loader and remove rpath (Linux)
if: ${{ runner.os == 'Linux' && env.SANITIZERS_ENABLED == 'false' }}
run: |
loader="$(/tmp/loader-path.sh)"
patchelf --set-interpreter "${loader}" --remove-rpath "${{ env.BUILD_DIR }}/xrpld"
# We're only running aarch64 Linux builds in Ubuntu-based images, so this is kept simple
- name: Install libatomic (Linux aarch64)
if: ${{ runner.os == 'Linux' && runner.arch == 'ARM64' }}
run: |
apt update --yes
apt install -y --no-install-recommends \
libatomic1
- name: Show ccache statistics
if: ${{ inputs.ccache_enabled }}
run: |
@@ -279,20 +290,6 @@ jobs:
run: |
./xrpld --version | grep libvoidstar
- name: Set sanitizer options
if: ${{ !inputs.build_only && env.SANITIZERS_ENABLED == 'true' }}
env:
CONFIG_NAME: ${{ inputs.config_name }}
run: |
ASAN_OPTS="include=${GITHUB_WORKSPACE}/sanitizers/suppressions/runtime-asan-options.txt:suppressions=${GITHUB_WORKSPACE}/sanitizers/suppressions/asan.supp"
if [[ "${CONFIG_NAME}" == *gcc* ]]; then
ASAN_OPTS="${ASAN_OPTS}:alloc_dealloc_mismatch=0"
fi
echo "ASAN_OPTIONS=${ASAN_OPTS}" >>${GITHUB_ENV}
echo "TSAN_OPTIONS=include=${GITHUB_WORKSPACE}/sanitizers/suppressions/runtime-tsan-options.txt:suppressions=${GITHUB_WORKSPACE}/sanitizers/suppressions/tsan.supp" >>${GITHUB_ENV}
echo "UBSAN_OPTIONS=include=${GITHUB_WORKSPACE}/sanitizers/suppressions/runtime-ubsan-options.txt:suppressions=${GITHUB_WORKSPACE}/sanitizers/suppressions/ubsan.supp" >>${GITHUB_ENV}
echo "LSAN_OPTIONS=include=${GITHUB_WORKSPACE}/sanitizers/suppressions/runtime-lsan-options.txt:suppressions=${GITHUB_WORKSPACE}/sanitizers/suppressions/lsan.supp" >>${GITHUB_ENV}
- name: Run the separate tests
if: ${{ !inputs.build_only }}
working-directory: ${{ runner.os == 'Windows' && format('{0}/{1}', env.BUILD_DIR, inputs.build_type) || env.BUILD_DIR }}

View File

@@ -18,7 +18,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- name: Check levelization
run: python .github/scripts/levelization/generate.py
- name: Check for differences

View File

@@ -18,7 +18,7 @@ jobs:
runs-on: ubuntu-latest
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- name: Check definitions
run: .github/scripts/rename/definitions.sh .
- name: Check copyright notices

View File

@@ -3,10 +3,6 @@ name: Run clang-tidy on files
on:
workflow_call:
inputs:
check_only_changed:
description: "Check only changed files in PR. If false, checks all files in the repository."
type: boolean
default: false
create_issue_on_failure:
description: "Whether to create an issue if the check failed"
type: boolean
@@ -20,29 +16,31 @@ env:
BUILD_DIR: build
BUILD_TYPE: Debug # Debug so that ASSERTS and such participate in clang-tidy check
OUTPUT_FILE: clang-tidy-output.txt
DIFF_FILE: clang-tidy-git-diff.txt
ISSUE_FILE: clang-tidy-issue.md
OUTPUT_FILE: /tmp/clang-tidy-output.txt
FILTERED_OUTPUT_FILE: /tmp/clang-tidy-filtered-output.txt
DIFF_FILE: /tmp/clang-tidy-git-diff.txt
ISSUE_FILE: /tmp/clang-tidy-issue.md
COMPILER: clang
jobs:
determine-files:
if: ${{ inputs.check_only_changed }}
permissions:
contents: read
uses: XRPLF/actions/.github/workflows/determine-tidy-files.yml@312aaab296060ff89d7f798dcab59f019bea6e02
uses: XRPLF/actions/.github/workflows/determine-tidy-files.yml@d041ac9f1fa9f07a4ba335eb4c1c82233fb3fef6
run-clang-tidy:
name: Run clang tidy
needs: [determine-files]
if: ${{ always() && !cancelled() && (!inputs.check_only_changed || needs.determine-files.outputs.cpp_changed_files != '' || needs.determine-files.outputs.clang_tidy_config_changed == 'true') }}
if: ${{ needs.determine-files.outputs.cpp_changed_files != '' || needs.determine-files.outputs.need_full_run == 'true' }}
runs-on: ["self-hosted", "Linux", "X64", "heavy"]
container: "ghcr.io/xrplf/xrpld/nix-debian:sha-63ffdc3"
container: "ghcr.io/xrplf/xrpld/nix-debian:sha-e29b523"
permissions:
contents: read
issues: write
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- name: Prepare runner
uses: XRPLF/actions/prepare-runner@c47daebb2f9db64ffbac71b47d68a661498d5ce8
@@ -59,7 +57,7 @@ jobs:
- name: Set compiler environment
uses: ./.github/actions/set-compiler-env
with:
compiler: clang
compiler: ${{ env.COMPILER }}
- name: Setup Conan
uses: ./.github/actions/setup-conan
@@ -93,7 +91,7 @@ jobs:
id: run_clang_tidy
continue-on-error: true
env:
TARGETS: ${{ (needs.determine-files.outputs.clang_tidy_config_changed != 'true' && inputs.check_only_changed) && needs.determine-files.outputs.cpp_changed_files || 'src tests' }}
TARGETS: ${{ needs.determine-files.outputs.need_full_run != 'true' && needs.determine-files.outputs.cpp_changed_files || 'src tests' }}
run: |
set -o pipefail
run-clang-tidy -j ${{ steps.nproc.outputs.nproc }} -p "${BUILD_DIR}" -quiet -fix -allow-no-checks ${TARGETS} 2>&1 | tee "${OUTPUT_FILE}"
@@ -150,21 +148,21 @@ jobs:
run: |
if [ -f "${OUTPUT_FILE}" ]; then
# Extract lines containing 'error:', 'warning:', or 'note:'
grep -E '(error:|warning:|note:)' "${OUTPUT_FILE}" >filtered-output.txt || true
grep -E '(error:|warning:|note:)' "${OUTPUT_FILE}" >"${FILTERED_OUTPUT_FILE}" || true
# If filtered output is empty, use original (might be a different error format)
if [ ! -s filtered-output.txt ]; then
cp "${OUTPUT_FILE}" filtered-output.txt
if [ ! -s "${FILTERED_OUTPUT_FILE}" ]; then
cp "${OUTPUT_FILE}" "${FILTERED_OUTPUT_FILE}"
fi
# Truncate if too large
head -c 60000 filtered-output.txt >>"${ISSUE_FILE}"
if [ "$(wc -c <filtered-output.txt)" -gt 60000 ]; then
head -c 60000 "${FILTERED_OUTPUT_FILE}" >>"${ISSUE_FILE}"
if [ "$(wc -c <"${FILTERED_OUTPUT_FILE}")" -gt 60000 ]; then
echo "" >>"${ISSUE_FILE}"
echo "... (output truncated, see artifacts for full output)" >>"${ISSUE_FILE}"
fi
rm filtered-output.txt
rm "${FILTERED_OUTPUT_FILE}"
else
echo "No output file found" >>"${ISSUE_FILE}"
fi

View File

@@ -27,7 +27,7 @@ jobs:
matrix: ${{ steps.generate.outputs.matrix }}
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- name: Set up Python
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0
@@ -39,23 +39,8 @@ jobs:
working-directory: .github/scripts/strategy-matrix
run: ./generate.py --packaging >>"${GITHUB_OUTPUT}"
generate-version:
runs-on: ubuntu-latest
outputs:
version: ${{ steps.version.outputs.version }}
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
with:
sparse-checkout: |
.github/actions/generate-version
src/libxrpl/protocol/BuildInfo.cpp
- name: Generate version
id: version
uses: ./.github/actions/generate-version
package:
needs: [generate-matrix, generate-version]
needs: [generate-matrix]
if: ${{ github.event.repository.visibility == 'public' }}
strategy:
fail-fast: false
@@ -69,7 +54,7 @@ jobs:
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- name: Download pre-built binary
uses: actions/download-artifact@3e5f45b2cfb9172054b4087a40e8e0b5a5461e7c # v8.0.1
@@ -82,14 +67,13 @@ jobs:
- name: Build package
env:
PKG_VERSION: ${{ needs.generate-version.outputs.version }}
PKG_RELEASE: ${{ inputs.pkg_release }}
run: ./package/build_pkg.sh
- name: Upload package artifact
uses: actions/upload-artifact@043fb46d1a93c77aae656e7c1c64a875d1fc6a0a # v7.0.1
with:
name: ${{ matrix.artifact_name }}-pkg-${{ needs.generate-version.outputs.version }}
name: ${{ matrix.artifact_name }}-pkg
path: |
${{ env.BUILD_DIR }}/debbuild/*.deb
${{ env.BUILD_DIR }}/debbuild/*.ddeb

View File

@@ -23,7 +23,7 @@ jobs:
matrix: ${{ steps.generate.outputs.matrix }}
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- name: Set up Python
uses: actions/setup-python@a309ff8b426b58ec0e2a45f0f869d46889d02405 # v6.2.0

View File

@@ -14,7 +14,7 @@ on:
description: "The URL of the Conan endpoint to use."
required: false
type: string
default: https://conan.ripplex.io
default: https://conan.xrplf.org/repository/conan/
secrets:
remote_username:
@@ -40,10 +40,14 @@ defaults:
jobs:
upload:
runs-on: ubuntu-latest
container: ghcr.io/xrplf/xrpld/nix-ubuntu:sha-63ffdc3
container: ghcr.io/xrplf/xrpld/nix-ubuntu:sha-e29b523
env:
REMOTE_NAME: ${{ inputs.remote_name }}
CONAN_LOGIN_USERNAME_XRPLF: ${{ secrets.remote_username }}
CONAN_PASSWORD_XRPLF: ${{ secrets.remote_password }}
steps:
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- name: Generate build version number
id: version
@@ -56,15 +60,9 @@ jobs:
remote_url: ${{ inputs.remote_url }}
- name: Log into Conan remote
env:
REMOTE_NAME: ${{ inputs.remote_name }}
REMOTE_USERNAME: ${{ secrets.remote_username }}
REMOTE_PASSWORD: ${{ secrets.remote_password }}
run: conan remote login "${REMOTE_NAME}" "${REMOTE_USERNAME}" --password "${REMOTE_PASSWORD}"
run: conan remote login "${REMOTE_NAME}" "${CONAN_LOGIN_USERNAME_XRPLF}" --password "${CONAN_PASSWORD_XRPLF}"
- name: Upload Conan recipe (version)
env:
REMOTE_NAME: ${{ inputs.remote_name }}
run: |
conan export . --version=${{ steps.version.outputs.version }}
conan upload --confirm --check --remote="${REMOTE_NAME}" xrpl/${{ steps.version.outputs.version }}
@@ -73,8 +71,6 @@ jobs:
# 'develop' branch, see on-trigger.yml.
- name: Upload Conan recipe (develop)
if: ${{ github.event_name == 'push' }}
env:
REMOTE_NAME: ${{ inputs.remote_name }}
run: |
conan export . --version=develop
conan upload --confirm --check --remote="${REMOTE_NAME}" xrpl/develop
@@ -83,8 +79,6 @@ jobs:
# one of the 'release' branches, see on-pr.yml.
- name: Upload Conan recipe (rc)
if: ${{ github.event_name == 'pull_request' }}
env:
REMOTE_NAME: ${{ inputs.remote_name }}
run: |
conan export . --version=rc
conan upload --confirm --check --remote="${REMOTE_NAME}" xrpl/rc
@@ -93,8 +87,6 @@ jobs:
# release, see on-tag.yml.
- name: Upload Conan recipe (release)
if: ${{ startsWith(github.ref, 'refs/tags/') }}
env:
REMOTE_NAME: ${{ inputs.remote_name }}
run: |
conan export . --version=release
conan upload --confirm --check --remote="${REMOTE_NAME}" xrpl/release

View File

@@ -34,7 +34,7 @@ on:
env:
CONAN_REMOTE_NAME: xrplf
CONAN_REMOTE_URL: https://conan.ripplex.io
CONAN_REMOTE_URL: https://conan.xrplf.org/repository/conan/
NPROC_SUBTRACT: 2
concurrency:
@@ -65,7 +65,7 @@ jobs:
uses: XRPLF/actions/cleanup-workspace@c7d9ce5ebb03c752a354889ecd870cadfc2b1cd4
- name: Checkout repository
uses: actions/checkout@df4cb1c069e1874edd31b4311f1884172cec0e10 # v6.0.3
uses: actions/checkout@9c091bb21b7c1c1d1991bb908d89e4e9dddfe3e0 # v7.0.0
- name: Prepare runner
uses: XRPLF/actions/prepare-runner@c47daebb2f9db64ffbac71b47d68a661498d5ce8
@@ -108,10 +108,12 @@ jobs:
- name: Log into Conan remote
if: ${{ github.repository == 'XRPLF/rippled' && (github.event_name == 'push' || github.event_name == 'workflow_dispatch') }}
run: conan remote login "${CONAN_REMOTE_NAME}" "${{ secrets.CONAN_REMOTE_USERNAME }}" --password "${{ secrets.CONAN_REMOTE_PASSWORD }}"
run: conan remote login "${CONAN_REMOTE_NAME}" "${{ secrets.NEXUS_REMOTE_USERNAME }}" --password "${{ secrets.NEXUS_REMOTE_PASSWORD }}"
- name: Upload Conan packages
if: ${{ github.repository == 'XRPLF/rippled' && (github.event_name == 'push' || github.event_name == 'workflow_dispatch') }}
env:
FORCE_OPTION: ${{ github.event.inputs.force_upload == 'true' && '--force' || '' }}
CONAN_LOGIN_USERNAME_XRPLF: ${{ secrets.NEXUS_REMOTE_USERNAME }}
CONAN_PASSWORD_XRPLF: ${{ secrets.NEXUS_REMOTE_PASSWORD }}
run: conan upload "*" --remote="${CONAN_REMOTE_NAME}" --confirm ${FORCE_OPTION}

View File

@@ -15,6 +15,7 @@ repos:
hooks:
- id: check-added-large-files
args: [--maxkb=400, --enforce-all]
- id: check-executables-have-shebangs
- id: trailing-whitespace
- id: end-of-file-fixer
- id: check-merge-conflict
@@ -35,13 +36,18 @@ repos:
language: python
types_or: [c++, c]
exclude: ^include/xrpl/protocol_autogen/(transactions|ledger_entries)/
- id: fix-pragma-once
name: fix missing '#pragma once' declarations in header files
language: python
entry: ./bin/pre-commit/fix_pragma_once.py
files: \.(h|hpp)$
- repo: https://github.com/pre-commit/mirrors-clang-format
rev: dd18dad857d6133e90bbe478f4f2f22ec0030269 # frozen: v22.1.5
hooks:
- id: clang-format
args: [--style=file]
"types_or": [c++, c, proto]
types_or: [c++, c, proto]
exclude: ^include/xrpl/protocol_autogen/(transactions|ledger_entries)/
- repo: https://github.com/BlankSpruce/gersemi-pre-commit

391
BUILD.md
View File

@@ -1,26 +1,57 @@
| :warning: **WARNING** :warning: |
| ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ |
| These instructions assume you have a C++ development environment ready with Git, Python, Conan, CMake, and a C++ compiler. For help setting one up on Linux, macOS, or Windows, [see this guide](./docs/build/environment.md). |
| :warning: **WARNING** :warning: |
| ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| These instructions assume you have a C++ development environment ready with Git, Python, Conan, CMake, and a C++ compiler. For help setting one up on Linux, macOS, or Windows, [see this guide](./docs/build/environment.md).<br><br>These instructions also assume a basic familiarity with Conan and CMake. If you are unfamiliar with Conan, you can read our [crash course](./docs/build/conan.md) or the official [Getting Started][conan-getting-started] walkthrough. |
> These instructions also assume a basic familiarity with Conan and CMake.
> If you are unfamiliar with Conan, you can read our
> [crash course](./docs/build/conan.md) or the official [Getting Started][3]
> walkthrough.
## Minimum Requirements
## Branches
See [System Requirements](https://xrpl.org/system-requirements.html).
For a stable release, choose the `master` branch or one of the [tagged
releases](https://github.com/XRPLF/rippled/releases).
Building xrpld generally requires Git, Python, Conan, CMake, and a C++
compiler.
- [Python](https://www.python.org/downloads/)
- [Conan](https://conan.io/downloads.html)
- [CMake](https://cmake.org/download/)
You can verify that the required tools are installed and runnable with:
```bash
git checkout master
./bin/check-tools.sh
```
For the latest release candidate, choose the `release` branch.
`xrpld` is written in the C++23 dialect. The [tested compiler versions][cpp23-support] are:
```bash
git checkout release
```
| Compiler | Version |
| ----------- | --------------- |
| GCC | 15.2 |
| Clang | 22 |
| Apple Clang | 17 |
| MSVC | 19.44[^windows] |
## Operating Systems
Please see the [environment setup guide](./docs/build/environment.md) for detailed instructions for all platforms.
### Linux
The Ubuntu Linux distribution has received the highest level of quality
assurance, testing, and support. We also support Red Hat and use Debian
internally.
Our Linux CI tooling is distro-independent and uses a Nix-based environment, so it should be possible to build on other Linux distributions as well, although we have not tested them.
### macOS
Many `xrpld` engineers use macOS for development.
### Windows
Windows is used by some engineers for development only.
[^windows]: Windows is not recommended for production use.
## Steps
### Branches
For the latest set of untested features, or to contribute, choose the `develop`
branch.
@@ -29,55 +60,15 @@ branch.
git checkout develop
```
## Minimum Requirements
For a release candidate, choose the relevant release branch, e.g.
`release/3.2.x`.
See [System Requirements](https://xrpl.org/system-requirements.html).
```bash
git checkout release/3.2.x
```
Building xrpld generally requires git, Python, Conan, CMake, and a C++
compiler. Some guidance on setting up such a [C++ development environment can be
found here](./docs/build/environment.md).
- [Python 3.11](https://www.python.org/downloads/), or higher
- [Conan 2.17](https://conan.io/downloads.html)[^1], or higher
- [CMake 3.22](https://cmake.org/download/), or higher
[^1]:
It is possible to build with Conan 1.60+, but the instructions are
significantly different, which is why we are not recommending it.
`xrpld` is written in the C++23 dialect and includes the `<concepts>` header.
The [tested compiler versions][2] are:
| Compiler | Version |
| ----------- | --------- |
| GCC | 15 |
| Clang | 22 |
| Apple Clang | 17 |
| MSVC | 19.44[^3] |
### Linux
The Ubuntu Linux distribution has received the highest level of quality
assurance, testing, and support. We also support Red Hat and use Debian
internally.
Here are [sample instructions for setting up a C++ development environment on
Linux](./docs/build/environment.md#linux).
### Mac
Many xrpld engineers use macOS for development.
Here are [sample instructions for setting up a C++ development environment on
macOS](./docs/build/environment.md#macos).
### Windows
Windows is used by some engineers for development only.
[^3]: Windows is not recommended for production use.
## Steps
For a stable release, choose one of the [tagged
releases](https://github.com/XRPLF/rippled/releases).
### Set Up Conan
@@ -86,18 +77,11 @@ Conan, CMake, and a C++ compiler, you may need to set up your Conan profile.
These instructions assume a basic familiarity with Conan and CMake. If you are
unfamiliar with Conan, then please read [this crash course](./docs/build/conan.md) or the official
[Getting Started][3] walkthrough.
[Getting Started][conan-getting-started] walkthrough.
#### Conan lockfile
#### Profiles
To achieve reproducible dependencies, we use a [Conan lockfile](https://docs.conan.io/2/tutorial/versioning/lockfiles.html),
which has to be updated every time dependencies change.
Please see the [instructions on how to regenerate the lockfile](conan/lockfile/README.md).
#### Default profile
We recommend that you import the provided `conan/profiles/default` profile:
We recommend that you install our Conan profiles:
```bash
conan config install conan/profiles/ -tf $(conan config home)/profiles/
@@ -109,222 +93,15 @@ You can check your Conan profile by running:
conan profile show
```
#### Custom profile
If the default profile is not suitable for your environment, you can create a custom profile and pass it to Conan.
More information on customizing Conan can be found in the [Advanced Conan configuration](./docs/build/advanced_conan.md).
If the default profile does not work for you and you do not yet have a Conan
profile, you can create one by running:
#### Add xrplf remote
Run the following command to add the `xrplf` remote, which hosts some of our dependencies:
```bash
conan profile detect
```
You may need to make changes to the profile to suit your environment. You can
refer to the provided `conan/profiles/default` profile for inspiration, and you
may also need to apply the required [tweaks](#conan-profile-tweaks) to this
default profile.
### Patched recipes
Occasionally, we need patched recipes or recipes not present in Conan Center.
We maintain a fork of the Conan Center Index
[here](https://github.com/XRPLF/conan-center-index/) containing the modified and newly added recipes.
To ensure our patched recipes are used, you must add our Conan remote at a
higher index than the default Conan Center remote, so it is consulted first. You
can do this by running:
```bash
conan remote add --index 0 xrplf https://conan.ripplex.io
```
Alternatively, you can pull our recipes from the repository and export them locally:
```bash
# Define which recipes to export.
recipes=('abseil' 'ed25519' 'mpt-crypto' 'openssl' 'secp256k1' 'snappy' 'soci' 'wasm-xrplf' 'wasmi')
# Selectively check out the recipes from our CCI fork.
cd external
mkdir -p conan-center-index
cd conan-center-index
git init
git remote add origin git@github.com:XRPLF/conan-center-index.git
git sparse-checkout init
for recipe in "${recipes[@]}"; do
echo "Checking out recipe '${recipe}'..."
git sparse-checkout add recipes/${recipe}
done
git fetch origin master
git checkout master
./export_all.sh
cd ../../
```
In the case we switch to a newer version of a dependency that still requires a
patch or add a new dependency, it will be necessary for you to pull in the changes and re-export the
updated dependencies with the newer version. However, if we switch to a newer
version that no longer requires a patch, no action is required on your part, as
the new recipe will be automatically pulled from the official Conan Center.
> [!NOTE]
> You might need to add `--lockfile=""` to your `conan install` command
> to avoid automatic use of the existing `conan.lock` file when you run
> `conan export` manually on your machine
>
> This is not recommended though, as you might end up using different revisions of recipes.
### Conan profile tweaks
#### Missing compiler version
If you see an error similar to the following after running `conan profile show`:
```text
ERROR: Invalid setting '17' is not a valid 'settings.compiler.version' value.
Possible values are ['5.0', '5.1', '6.0', '6.1', '7.0', '7.3', '8.0', '8.1',
'9.0', '9.1', '10.0', '11.0', '12.0', '13', '13.0', '13.1', '14', '14.0', '15',
'15.0', '16', '16.0']
Read "http://docs.conan.io/2/knowledge/faq.html#error-invalid-setting"
```
you need to add your compiler to the list of compiler versions in
`$(conan config home)/settings_user.yml`, by adding the required version number(s)
to the `version` array specific for your compiler. For example:
```yaml
compiler:
apple-clang:
version: ["17.0"]
```
#### Multiple compilers
If you have multiple compilers installed, make sure to select the one to use in
your default Conan configuration **before** running `conan profile detect`, by
setting the `CC` and `CXX` environment variables.
For example, if you are running MacOS and have [homebrew
LLVM@18](https://formulae.brew.sh/formula/llvm@18), and want to use it as a
compiler in the new Conan profile:
```bash
export CC=$(brew --prefix llvm@18)/bin/clang
export CXX=$(brew --prefix llvm@18)/bin/clang++
conan profile detect
```
You should also explicitly set the path to the compiler in the profile file,
which helps to avoid errors when `CC` and/or `CXX` are set and disagree with the
selected Conan profile. For example:
```text
[conf]
tools.build:compiler_executables={'c':'/usr/bin/gcc','cpp':'/usr/bin/g++'}
```
#### Multiple profiles
You can manage multiple Conan profiles in the directory
`$(conan config home)/profiles`, for example renaming `default` to a different
name and then creating a new `default` profile for a different compiler.
#### Select language
The default profile created by Conan will typically select different C++ dialect
than C++23 used by this project. You should set `23` in the profile line
starting with `compiler.cppstd=`. For example:
```bash
sed -i.bak -e 's|^compiler\.cppstd=.*$|compiler.cppstd=23|' $(conan config home)/profiles/default
```
#### Select standard library in Linux
**Linux** developers will commonly have a default Conan [profile][] that
compiles with GCC and links with libstdc++. If you are linking with libstdc++
(see profile setting `compiler.libcxx`), then you will need to choose the
`libstdc++11` ABI:
```bash
sed -i.bak -e 's|^compiler\.libcxx=.*$|compiler.libcxx=libstdc++11|' $(conan config home)/profiles/default
```
#### Select architecture and runtime in Windows
**Windows** developers may need to use the x64 native build tools. An easy way
to do that is to run the shortcut "x64 Native Tools Command Prompt" for the
version of Visual Studio that you have installed.
Windows developers must also build `xrpld` and its dependencies for the x64
architecture:
```bash
sed -i.bak -e 's|^arch=.*$|arch=x86_64|' $(conan config home)/profiles/default
```
**Windows** developers also must select static runtime:
```bash
sed -i.bak -e 's|^compiler\.runtime=.*$|compiler.runtime=static|' $(conan config home)/profiles/default
```
#### Clang workaround for grpc
If your compiler is clang, version 19 or later, or apple-clang, version 17 or
later, you may encounter a compilation error while building the `grpc`
dependency:
```text
In file included from .../lib/promise/try_seq.h:26:
.../lib/promise/detail/basic_seq.h:499:38: error: a template argument list is expected after a name prefixed by the template keyword [-Wmissing-template-arg-list-after-template-kw]
499 | Traits::template CallSeqFactory(f_, *cur_, std::move(arg)));
| ^
```
The workaround for this error is to add two lines to profile:
```text
[conf]
tools.build:cxxflags=['-Wno-missing-template-arg-list-after-template-kw']
```
#### Workaround for gcc 12
If your compiler is gcc, version 12, and you have enabled `werr` option, you may
encounter a compilation error such as:
```text
/usr/include/c++/12/bits/char_traits.h:435:56: error: 'void* __builtin_memcpy(void*, const void*, long unsigned int)' accessing 9223372036854775810 or more bytes at offsets [2, 9223372036854775807] and 1 may overlap up to 9223372036854775813 bytes at offset -3 [-Werror=restrict]
435 | return static_cast<char_type*>(__builtin_memcpy(__s1, __s2, __n));
| ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
cc1plus: all warnings being treated as errors
```
The workaround for this error is to add two lines to your profile:
```text
[conf]
tools.build:cxxflags=['-Wno-restrict']
```
#### Workaround for clang 16
If your compiler is clang, version 16, you may encounter compilation error such
as:
```text
In file included from .../boost/beast/websocket/stream.hpp:2857:
.../boost/beast/websocket/impl/read.hpp:695:17: error: call to 'async_teardown' is ambiguous
async_teardown(impl.role, impl.stream(),
^~~~~~~~~~~~~~
```
The workaround for this error is to add two lines to your profile:
```text
[conf]
tools.build:cxxflags=['-DBOOST_ASIO_DISABLE_CONCEPTS']
conan remote add --index 0 --force xrplf https://conan.xrplf.org/repository/conan/
```
### Set Up Ccache
@@ -333,14 +110,7 @@ To speed up repeated compilations, we recommend that you install
[ccache](https://ccache.dev), a tool that wraps your compiler so that it can
cache build objects locally.
#### Linux
You can install it using the package manager, e.g. `sudo apt install ccache`
(Ubuntu) or `sudo dnf install ccache` (RHEL).
#### macOS
You can install it using Homebrew, i.e. `brew install ccache`.
On Linux and macOS, `ccache` is included in the [Nix development shell](./docs/build/nix.md).
#### Windows
@@ -549,7 +319,7 @@ See [Sanitizers docs](./docs/build/sanitizers.md) for more details.
| Option | Default Value | Description |
| ---------- | ------------- | -------------------------------------------------------------- |
| `assert` | OFF | Enable assertions. |
| `assert` | OFF | Force enabling assertions. |
| `coverage` | OFF | Prepare the coverage report. |
| `tests` | OFF | Build tests. |
| `unity` | OFF | Configure a unity build. |
@@ -557,7 +327,7 @@ See [Sanitizers docs](./docs/build/sanitizers.md) for more details.
| `werr` | OFF | Treat compilation warnings as errors |
| `wextra` | OFF | Enable additional compilation warnings |
[Unity builds][5] may be faster for the first build (at the cost of much more
[Unity builds][unity-build] may be faster for the first build (at the cost of much more
memory) since they concatenate sources into fewer translation units. Non-unity
builds may be faster for incremental builds, and can be helpful for detecting
`#include` omissions.
@@ -583,14 +353,14 @@ After any updates or changes to dependencies, you may need to do the following:
conan remove '*'
```
3. Re-run [conan export](#patched-recipes) if needed.
4. [Regenerate lockfile](#conan-lockfile).
3. Re-run [conan export](./docs/build/advanced_conan.md#patched-recipes) if needed.
4. [Regenerate lockfile](./docs/build/advanced_conan.md#conan-lockfile).
5. Re-run [conan install](#build-and-test).
#### ERROR: Package not resolved
If you're seeing an error like `ERROR: Package 'snappy/1.1.10' not resolved: Unable to find 'snappy/1.1.10#968fef506ff261592ec30c574d4a7809%1756234314.246' in remotes.`,
please add `xrplf` remote or re-run `conan export` for [patched recipes](#patched-recipes).
please [add `xrplf` remote](#add-xrplf-remote) or re-run `conan export` for [patched recipes](./docs/build/advanced_conan.md#patched-recipes).
### `protobuf/port_def.inc` file not found
@@ -610,28 +380,9 @@ For example, if you want to build Debug:
1. For conan install, pass `--settings build_type=Debug`
2. For cmake, pass `-DCMAKE_BUILD_TYPE=Debug`
## Add a Dependency
If you want to experiment with a new package, follow these steps:
1. Search for the package on [Conan Center](https://conan.io/center/).
2. Modify [`conanfile.py`](./conanfile.py):
- Add a version of the package to the `requires` property.
- Change any default options for the package by adding them to the
`default_options` property (with syntax `'$package:$option': $value`).
3. Modify [`CMakeLists.txt`](./CMakeLists.txt):
- Add a call to `find_package($package REQUIRED)`.
- Link a library from the package to the target `xrpl_libs`
(search for the existing call to `target_link_libraries(xrpl_libs INTERFACE ...)`).
4. Start coding! Don't forget to include whatever headers you need from the package.
[1]: https://github.com/conan-io/conan-center-index/issues/13168
[2]: https://en.cppreference.com/w/cpp/compiler_support/20
[3]: https://docs.conan.io/en/latest/getting_started.html
[5]: https://en.wikipedia.org/wiki/Unity_build
[6]: https://github.com/boostorg/beast/issues/2648
[7]: https://github.com/boostorg/beast/issues/2661
[cpp23-support]: https://en.cppreference.com/w/cpp/compiler_support/23
[conan-getting-started]: https://docs.conan.io/en/latest/getting_started.html
[unity-build]: https://en.wikipedia.org/wiki/Unity_build
[gcovr]: https://gcovr.com/en/stable/getting-started.html
[python-pip]: https://packaging.python.org/en/latest/guides/installing-using-pip-and-virtual-environments/
[build_type]: https://cmake.org/cmake/help/latest/variable/CMAKE_BUILD_TYPE.html
[profile]: https://docs.conan.io/en/latest/reference/profiles.html

View File

@@ -57,6 +57,8 @@ if(target)
)
endif()
include(PatchNixBinary)
include(XrplSanity)
include(XrplVersion)
include(XrplSettings)

View File

@@ -14,9 +14,9 @@ The following branches exist in the main project repository:
- `develop`: The latest set of unreleased features, and the most common
starting point for contributions.
- `release`: The latest beta release or release candidate.
- `master`: The latest stable release.
- `gh-pages`: The documentation for this project, built by Doxygen.
- `release/*` (e.g. `release/3.2.x`): Release branches, one per release line,
holding the latest release candidate, or stable release for that line.
Stable releases are published as [tagged releases](https://github.com/XRPLF/rippled/releases).
The tip of each branch must be signed. In order for GitHub to sign a
squashed commit that it builds from your pull request, GitHub must know
@@ -130,11 +130,9 @@ tl;dr
## Pull requests
In general, pull requests use `develop` as the base branch.
The exceptions are
- Fixes and improvements to a release candidate use `release` as the
base.
- Hotfixes use `master` as the base.
The exceptions are fixes, improvements, and hotfixes for an existing release,
which use that release's branch (e.g. `release/3.2.x`) as the base.
If your changes are not quite ready, but you want to make it easily available
for preliminary examination or review, you can create a "Draft" pull request.
@@ -216,7 +214,7 @@ coherent rather than a set of _thou shalt not_ commandments.
## Formatting
All code must conform to `clang-format` version 21,
All code must conform to `clang-format` version 22,
according to the settings in [`.clang-format`](./.clang-format),
unless the result would be unreasonably difficult to read or maintain.
To demarcate lines that should be left as-is, surround them with comments like
@@ -261,7 +259,7 @@ This ensures that configuration changes don't introduce new warnings across the
### Installing clang-tidy
See the [environment setup guide](./docs/build/environment.md#clang-tidy) for platform-specific installation instructions.
See the [environment setup guide](./docs/build/environment.md#clang-tidy) for how to get clang-tidy.
### Running clang-tidy locally
@@ -300,6 +298,46 @@ If you wish to automatically fix whatever clang-tidy finds _and_ is capable of f
run-clang-tidy -p build -quiet -fix -allow-no-checks src tests
```
## Telemetry span attribute naming
OpenTelemetry span attribute keys follow these rules so they stay consistent
across the code, the OTel collector, Tempo, Grafana dashboards, and docs. The
constants in the `*SpanNames.h` headers are the single source of truth; every
other layer must match them. A CI check enforces this end to end.
1. Per-span unique attribute: bare field name — allowed when the field is
recorded by a single span/workflow, so the span name already supplies the
domain (e.g. `command`, `local`, `version` on `rpc.command` / `tx.process`).
2. Shared attribute (same concept on more than one span): ONE key, reused
verbatim on every span that records it — the span name tells the occurrences
apart, so no per-emitter prefix is added. Pick the name by the field's
meaning: a property of a domain object keeps that object's bare field name
(`ledger_hash`, `ledger_seq`, `tx_hash`, `peer_id`, `full_validation`); a
field already qualified by a sub-kind keeps that qualifier on every emitter
(`proposal_trusted` on both `consensus.proposal.receive` and
`peer.proposal.receive`; `validation_trusted` likewise). Define it once in
the base `SpanNames.h` `namespace attr` block and re-export (`using`) it from
each domain header, so all emitters share the exact string.
3. Collision qualifier: `<domain>_<field>` — only when a bare name would collide
with a DIFFERENT concept in the shared spanmetrics label space, or with the
OTel-reserved `status` key (e.g. `rpc_status`, `grpc_status`,
`consensus_state`, `consensus_round`). This disambiguates distinct concepts
that share a word; it is NOT used to tag the same concept with the workflow
that emitted it — that is rule 2 (one shared name).
4. Resource attribute: dotted `xrpl.<subsystem>.<field>` — reserved ONLY for
process/network identity set once at startup (`xrpl.network.id`,
`xrpl.network.type`). Never use the dotted `xrpl.` form for span attributes.
5. Span names use `<subsystem>[.<component>]` (dotted). Only attribute _keys_
follow rules 14.
Standard OpenTelemetry semantic-convention keys keep their canonical dotted
form (e.g. `service.*` resource attributes, `http.*` span attributes); the
"no dotted form" rule above applies to xrpl-custom keys, not to OTel-standard
conventions.
Always reference the `*SpanNames.h` constants — never pass string literals as
attribute keys or values to `setAttribute`/`addEvent`.
## Contracts and instrumentation
We are using [Antithesis](https://antithesis.com/) for continuous fuzzing,

View File

@@ -0,0 +1,565 @@
# 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.
---
## Actors and Actions at a Glance
### Actors
| Who (Plain English) | Technical Term |
| ---------------------------------------------- | --------------- |
| A single unit of work being tracked | Span |
| The complete journey of a request | Trace |
| Data that links spans across services | Trace Context |
| Code that creates spans and propagates context | Instrumentation |
| Service that receives and processes traces | Collector |
| Storage and visualization system | Backend (Tempo) |
| Decision logic for which traces to keep | Sampler |
### Actions
| What Happens (Plain English) | Technical Term |
| --------------------------------------- | ----------------------- |
| Start tracking a new operation | Create a Span |
| Connect a child operation to its parent | Set `parent_span_id` |
| Group all related operations together | Share a `trace_id` |
| Pass tracking data between services | Context Propagation |
| Decide whether to record a trace | Sampling (Head or Tail) |
| Send completed traces to storage | Export (OTLP) |
---
## 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` | Identifies the trace | `event123` |
| `span_id` | Unique identifier | `span456` |
| `parent_span_id` | Parent span (if any) | `p_span123` |
| `name` | Operation name | `rpc.submit` |
| `start_time` | When work began (local time) | `2024-01-15T10:30:00Z` |
| `end_time` | When work completed (local time) | `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
```
**Reading the diagram:**
- **tx.submit (blue, root)**: The top-level span representing the entire transaction submission; all other spans are its descendants.
- **tx.validate, tx.relay, tx.apply (green)**: Direct children of tx.submit, representing the three main stages -- validation, relay to peers, and application to the ledger.
- **ledger.update (red)**: A grandchild span nested under tx.apply, representing the actual ledger state mutation triggered by applying the transaction.
- **Arrows (parent to child)**: Each arrow indicates a parent-child span relationship where the parent's completion depends on the child finishing.
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 │ │▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓│
```
---
## Span Relationships
Spans don't always form simple parent-child trees. Distributed tracing defines several relationship types to capture different causal patterns:
### 1. Parent-Child (ChildOf)
The default relationship. The parent span **depends on** or **contains** the child span. The child runs within the scope of the parent.
```
tx.submit (parent)
├── tx.validate (child) ← parent waits for this
├── tx.relay (child) ← parent waits for this
└── tx.apply (child) ← parent waits for this
```
**When to use:** Synchronous calls, nested operations, any case where the parent's completion depends on the child.
### 2. Follows-From
A causal relationship where the first span **triggers** the second, but does **not wait** for it. The originator fires and moves on.
```
Time →
tx.receive [=======]
↓ triggers (follows-from)
tx.relay [===========] ← runs independently
```
**When to use:** Asynchronous jobs, queued work, fire-and-forget patterns. For example, a node receives a transaction and queues it for relay — the relay span _follows from_ the receive span but the receiver doesn't wait for relaying to complete.
> **OpenTracing** defined `FollowsFrom` as a first-class reference type alongside `ChildOf`.
> **OpenTelemetry** represents this using **Span Links** with descriptive attributes instead (see below).
### 3. Span Links (Cross-Trace and Non-Hierarchical)
Links connect spans that are **causally related but not in a parent-child hierarchy**. Unlike parent-child, links can cross trace boundaries.
```
Trace A Trace B
────── ──────
batch.schedule batch.execute
├─ item.enqueue (span X) ┌──► process.item
├─ item.enqueue (span Y) ───┤ (links to X, Y, Z)
├─ item.enqueue (span Z) └──►
```
**Use cases:**
| Pattern | Description |
| -------------------- | --------------------------------------------------------------------------- |
| **Batch processing** | A batch span links back to all individual spans that contributed to it |
| **Fan-in** | An aggregation span links to the multiple producer spans it merges |
| **Fan-out** | Multiple downstream spans link back to the single span that triggered them |
| **Async handoff** | A deferred job links back to the request that queued it (follows-from) |
| **Cross-trace** | Correlating spans across independent traces (e.g., retries, related events) |
**Link structure:** Each link carries the target span's context plus optional attributes:
```
Link {
trace_id: <target trace>
span_id: <target span>
attributes: { "link.description": "triggered by batch scheduler" }
}
```
### Relationship Summary
```mermaid
flowchart LR
subgraph parent_child["Parent-Child"]
direction TB
P["Parent"] --> C["Child"]
end
subgraph follows_from["Follows-From"]
direction TB
A["Span A"] -.->|triggers| B["Span B"]
end
subgraph links["Span Links"]
direction TB
X["Span X\n(Trace 1)"] -.-|link| Y["Span Y\n(Trace 2)"]
end
parent_child ~~~ follows_from ~~~ links
style P fill:#0d47a1,stroke:#082f6a,color:#ffffff
style C fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style A fill:#0d47a1,stroke:#082f6a,color:#ffffff
style B fill:#bf360c,stroke:#8c2809,color:#ffffff
style X fill:#4a148c,stroke:#38006b,color:#ffffff
style Y fill:#4a148c,stroke:#38006b,color:#ffffff
```
| Relationship | Same Trace? | Dependency? | OTel Mechanism |
| ---------------- | ----------- | -------------------------- | ----------------- |
| **Parent-Child** | Yes | Parent depends on child | `parent_span_id` |
| **Follows-From** | Usually | Causal but no dependency | Link + attributes |
| **Span Link** | Either | Correlation, no dependency | Link + attributes |
---
## Trace ID Generation
A `trace_id` is a 128-bit (16-byte) identifier that groups all spans belonging to one logical operation. How it's generated determines how easily you can find and correlate traces later.
### General Approaches
#### 1. Random (W3C Default)
Generate a random 128-bit ID when a trace starts. Standard approach for most services.
```
trace_id = random_128_bits()
```
| Pros | Cons |
| --------------------------- | --------------------------------------------- |
| Simple, standard | No natural correlation to domain events |
| Guaranteed unique per trace | If propagation is lost, trace is broken |
| Works with all OTel tooling | "Find trace for TX abc" requires index lookup |
#### 2. Deterministic (Derived from Domain Data)
Compute the trace_id from a hash of a natural identifier. Every node independently derives the **same** trace_id for the same event.
```
trace_id = SHA-256(domain_identifier)[0:16] // truncate to 128 bits
```
| Pros | Cons |
| --------------------------------------------------- | ---------------------------------------------------------- |
| Propagation-resilient — same ID computed everywhere | Same event processed twice (retry) shares trace_id |
| Natural search — domain ID maps directly to trace | Non-standard (tooling assumes random) |
| No coordination needed between nodes | 256→128 bit truncation (collision risk negligible at ~2⁶⁴) |
#### 3. Hybrid (Deterministic Prefix + Random Suffix)
First 8 bytes derived from domain data, last 8 bytes random.
```
trace_id = SHA-256(domain_identifier)[0:8] || random_64_bits()
```
| Pros | Cons |
| ------------------------------------------- | ---------------------------------------- |
| Prefix search: "find all traces for TX abc" | Must propagate to maintain full trace_id |
| Unique per processing instance | More complex generation logic |
| Retries get distinct trace_ids | Partial correlation only (prefix match) |
### XRPL Workflow Analysis
XRPL has a unique advantage: its core workflows produce **globally unique 256-bit hashes** that are known on every node. This makes deterministic trace_id generation practical in ways most systems can't achieve.
#### Natural Identifiers by Workflow
| Workflow | Natural Identifier | Size | Known at Start? | Same on All Nodes? |
| ------------------- | --------------------------------- | ---------- | ----------------------------- | -------------------------------- |
| **Transaction** | Transaction hash (`tid_`) | 256-bit | Yes — computed before signing | Yes — hash of canonical tx data |
| **Consensus round** | Previous ledger hash + ledger seq | 256+32 bit | Yes — known when round opens | Yes — all validators agree |
| **Validation** | Ledger hash being validated | 256-bit | Yes — from consensus result | Yes — same closed ledger |
| **Ledger catch-up** | Target ledger hash | 256-bit | Yes — we know what to fetch | Yes — identifies ledger globally |
#### Where These Identifiers Live in Code
```
Transaction: STTx::getTransactionID() → uint256 tid_
TMTransaction::rawTransaction → recompute hash from bytes
Consensus: ConsensusProposal::prevLedger_ → uint256 (previous ledger hash)
ConsensusProposal::position_ → uint256 (TxSet hash)
LedgerHeader::seq → uint32_t (ledger sequence)
Validation: STValidation::getLedgerHash() → uint256
STValidation::getNodeID() → NodeID (160-bit)
Ledger fetch: InboundLedger constructor → uint256 hash, uint32_t seq
TMGetLedger::ledgerHash → bytes (uint256)
```
### Recommended Strategy: Workflow-Scoped Deterministic
Each workflow type derives its trace_id from its natural domain identifier:
```
Transaction trace: trace_id = SHA-256("tx" || tx_hash)[0:16]
Consensus trace: trace_id = SHA-256("cons" || prev_ledger_hash || ledger_seq)[0:16]
Ledger catch-up: trace_id = SHA-256("fetch" || target_ledger_hash)[0:16]
```
The string prefix (`"tx"`, `"cons"`, `"fetch"`) prevents collisions between workflows that might share underlying hashes.
**Why this works for XRPL:**
1. **Propagation-resilient** — Even if a P2P message drops trace context, every node independently computes the same trace_id from the same tx_hash or ledger_hash. Spans still correlate.
2. **Zero-cost search** — "Show me the trace for transaction ABC" becomes a direct lookup: compute `SHA-256("tx" || ABC)[0:16]` and query. No secondary index needed.
3. **Cross-workflow linking via Span Links** — A consensus trace links to individual transaction traces. A validation span links to the consensus trace. This connects the full picture without forcing everything into one giant trace.
### Cross-Workflow Correlation
Each workflow gets its own trace. Span Links tie them together:
```mermaid
flowchart TB
subgraph tx_trace["Transaction Trace"]
direction LR
Tn["trace_id = f(tx_hash)"]:::note --> T1["tx.receive"] --> T2["tx.validate"] --> T3["tx.relay"]
end
subgraph cons_trace["Consensus Trace"]
direction LR
Cn["trace_id = f(prev_ledger, seq)"]:::note --> C1["cons.open"] --> C2["cons.propose"] --> C3["cons.accept"]
end
subgraph val_trace["Validation"]
direction LR
Vn["spans within consensus trace"]:::note --> V1["val.create"] --> V2["val.broadcast"]
end
subgraph fetch_trace["Catch-Up Trace"]
direction LR
Fn["trace_id = f(ledger_hash)"]:::note --> F1["fetch.request"] --> F2["fetch.receive"] --> F3["fetch.apply"]
end
C1 -.-|"span link\n(tx traces)"| T3
C3 --> V1
F1 -.-|"span link\n(target ledger)"| C3
classDef note fill:none,stroke:#888,stroke-dasharray:5 5,color:#333,font-style:italic
style T1 fill:#0d47a1,stroke:#082f6a,color:#ffffff
style T2 fill:#0d47a1,stroke:#082f6a,color:#ffffff
style T3 fill:#0d47a1,stroke:#082f6a,color:#ffffff
style C1 fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style C2 fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style C3 fill:#1b5e20,stroke:#0d3d14,color:#ffffff
style V1 fill:#bf360c,stroke:#8c2809,color:#ffffff
style V2 fill:#bf360c,stroke:#8c2809,color:#ffffff
style F1 fill:#4a148c,stroke:#38006b,color:#ffffff
style F2 fill:#4a148c,stroke:#38006b,color:#ffffff
style F3 fill:#4a148c,stroke:#38006b,color:#ffffff
```
**Reading the diagram:**
- **Transaction Trace (blue)**: An independent trace whose `trace_id` is deterministically derived from the transaction hash. Contains receive, validate, and relay spans.
- **Consensus Trace (green)**: An independent trace whose `trace_id` is derived from the previous ledger hash and sequence number. Covers the open, propose, and accept phases.
- **Validation (red)**: Validation spans live within the consensus trace (not a separate trace). They are created after the accept phase completes.
- **Catch-Up Trace (purple)**: An independent trace for ledger acquisition, derived from the target ledger hash. Used when a node is behind and fetching missing ledgers.
- **Dotted arrows (span links)**: Cross-trace correlations. Consensus links to transaction traces it included; catch-up links to the consensus trace that produced the target ledger.
- **Solid arrow (C3 to V1)**: A parent-child relationship -- validation spans are direct children of the consensus accept span within the same trace.
**How a query flows:**
```
"Why was TX abc slow?"
1. Compute trace_id = SHA-256("tx" || abc)[0:16]
2. Find transaction trace → see it was included in consensus round N
3. Follow span link → consensus trace for round N
4. See which phase was slow (propose? accept?)
5. If a node was catching up, follow link → catch-up trace
```
### Trade-offs to Consider
| Concern | Mitigation |
| ----------------------------- | ----------------------------------------------------------------------------------------------------------------------------- |
| **Retries get same trace_id** | Add `attempt` attribute to root span; spans have unique span_ids and timestamps |
| **256→128 bit truncation** | Birthday-bound collision at ~2⁶⁴ operations — negligible for XRPL's throughput |
| **Non-standard generation** | OTel spec allows any 16-byte non-zero value; tooling works on the hex string |
| **Hash computation cost** | SHA-256 is ~0.3μs per call; XRPL already computes these hashes for other purposes |
| **Late-binding identifiers** | Ledger hash isn't known until after consensus — validation spans use ledger_seq as fallback, then link to the consensus trace |
---
## Distributed Traces Across Nodes
In distributed systems like xrpld, 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
```
**Reading the diagram:**
- **Client**: The external entity that submits a transaction. It does not carry trace context -- the trace originates at the first node.
- **Node A**: The entry point that creates a new trace (trace_id: abc123) and the root span `tx.receive`. It relays the transaction to peers with trace context attached.
- **Node B and Node C**: Peer nodes that receive the relayed transaction along with the propagated trace context. Each creates a child span under Node A's span, preserving the same `trace_id`.
- **Arrows with trace context**: The relay messages carry `trace_id` and `parent_span_id`, allowing each downstream node to link its spans back to the originating span on Node A.
---
## Context Propagation
For traces to work across nodes, **trace context must be propagated** in messages.
### What's in the Context (~26 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` | 1 byte | Sampling decision (bit 0 = sampled; bits 1-7 reserved) |
| `trace_state` | variable | Optional vendor-specific data (typically omitted) |
### 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: 00-4bf92f3577b34da6a3ce929d0e0e4736-00f067aa0ba902b7-01
│ │ │ │
│ │ │ └── Flags (sampled)
│ │ └── Parent span ID (16 hex)
│ └── Trace ID (32 hex)
└── Version
```
### Protocol Buffers (xrpld P2P messages)
xrpld P2P messages such as `TMTransaction` carry the trace context in two added byte fields alongside the existing payload: `trace_parent` holds the W3C traceparent (`trace_id`, `span_id`, and `trace_flags`), and `trace_state` holds the optional W3C tracestate. Together they propagate the trace across the P2P boundary so a receiving node can attach its spans to the sender's span.
---
## Sampling
Not every trace needs to be recorded. **Sampling** reduces overhead:
### Head Sampling (at trace start)
```
Request arrives → Random N% chance → Record or skip entire trace
```
- ✅ Low overhead
- ❌ May miss interesting traces
> **xrpld note**: xrpld intentionally fixes head sampling at 100% (sample
> everything) and does not expose a configurable ratio. A per-node ratio
> would let different nodes make divergent keep/drop decisions for the same
> distributed trace, producing broken/partial traces. xrpld uses a
> `ParentBased` sampler so spans with a remote parent honor the upstream
> decision. Volume reduction is delegated to collector-side tail sampling.
### 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 xrpld
| 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 |
| **Parent-Child** | Span relationship where the parent depends on the child |
| **Follows-From** | Causal relationship where originator doesn't wait for the result |
| **Span Link** | Non-hierarchical connection between spans, possibly across traces |
| **Deterministic ID** | Trace ID derived from domain data (e.g., tx_hash) instead of random |
| **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 (Tempo) |
| **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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@@ -0,0 +1,467 @@
# Architecture Analysis
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Design Decisions](./02-design-decisions.md) | [Implementation Strategy](./03-implementation-strategy.md)
---
## 1.1 Current xrpld Architecture Overview
> **WS** = WebSocket | **UNL** = Unique Node List | **TxQ** = Transaction Queue | **StatsD** = Statistics Daemon
The xrpld node software consists of several interconnected components that need instrumentation for distributed tracing:
```mermaid
flowchart TB
subgraph xrpld["xrpld Node"]
subgraph services["Core Services"]
RPC["RPC Server<br/>(HTTP/WS/gRPC)"]
Overlay["Overlay<br/>(P2P Network)"]
Consensus["Consensus<br/>(RCLConsensus)"]
ValidatorList["ValidatorList<br/>(UNL Mgmt)"]
end
JobQueue["JobQueue<br/>(Thread Pool)"]
subgraph processing["Processing Layer"]
NetworkOPs["NetworkOPs<br/>(Tx Processing)"]
LedgerMaster["LedgerMaster<br/>(Ledger Mgmt)"]
NodeStore["NodeStore<br/>(Database)"]
InboundLedgers["InboundLedgers<br/>(Ledger Sync)"]
end
subgraph appservices["Application Services"]
PathFind["PathFinding<br/>(Payment Paths)"]
TxQ["TxQ<br/>(Fee Escalation)"]
LoadMgr["LoadManager<br/>(Fee/Load)"]
end
subgraph observability["Existing Observability"]
PerfLog["PerfLog<br/>(JSON)"]
Insight["Insight<br/>(StatsD)"]
Logging["Logging<br/>(Journal)"]
end
services --> JobQueue
JobQueue --> processing
JobQueue --> appservices
end
style xrpld fill:#424242,stroke:#212121,color:#ffffff
style services fill:#1565c0,stroke:#0d47a1,color:#ffffff
style processing fill:#2e7d32,stroke:#1b5e20,color:#ffffff
style appservices fill:#6a1b9a,stroke:#4a148c,color:#ffffff
style observability fill:#e65100,stroke:#bf360c,color:#ffffff
```
**Reading the diagram:**
- **Core Services (blue)**: The entry points into xrpld -- RPC Server handles client requests, Overlay manages peer-to-peer networking, Consensus drives agreement, and ValidatorList manages trusted validators.
- **JobQueue (center)**: The asynchronous thread pool that decouples Core Services from the Processing and Application layers. All work flows through it.
- **Processing Layer (green)**: Core business logic -- NetworkOPs processes transactions, LedgerMaster manages ledger state, NodeStore handles persistence, and InboundLedgers synchronizes missing data.
- **Application Services (purple)**: Higher-level features -- PathFinding computes payment routes, TxQ manages fee-based queuing, and LoadManager tracks server load.
- **Existing Observability (orange)**: The current monitoring stack (PerfLog, Insight, Journal logging) that OpenTelemetry will complement, not replace.
- **Arrows (Services to JobQueue to layers)**: Work originates at Core Services, is enqueued onto the JobQueue, and dispatched to Processing or Application layers for execution.
---
## 1.1.1 Actors and Actions
### Actors
| Who (Plain English) | Technical Term |
| ----------------------------------------- | -------------------------- |
| Network node running XRPL software | xrpld node |
| External client submitting requests | RPC Client |
| Network neighbor sharing data | Peer (PeerImp) |
| Request handler for client queries | RPC Server (ServerHandler) |
| Command executor for specific RPC methods | RPCHandler |
| Agreement process between nodes | Consensus (RCLConsensus) |
| Transaction processing coordinator | NetworkOPs |
| Background task scheduler | JobQueue |
| Ledger state manager | LedgerMaster |
| Payment route calculator | PathFinding (Pathfinder) |
| Transaction waiting room | TxQ (Transaction Queue) |
| Fee adjustment system | LoadManager |
| Trusted validator list manager | ValidatorList |
| Protocol upgrade tracker | AmendmentTable |
| Ledger state hash tree | SHAMap |
| Persistent key-value storage | NodeStore |
### Actions
| What Happens (Plain English) | Technical Term |
| ---------------------------------------------- | ---------------------- |
| Client sends a request to a node | `rpc.request` |
| Node executes a specific RPC command | `rpc.command.*` |
| Node receives a transaction from a peer | `tx.receive` |
| Node checks if a transaction is valid | `tx.validate` |
| Node forwards a transaction to neighbors | `tx.relay` |
| Nodes agree on which transactions to include | `consensus.round` |
| Consensus progresses through phases | `consensus.phase.*` |
| Node builds a new confirmed ledger | `ledger.build` |
| Node fetches missing ledger data from peers | `ledger.acquire` |
| Node computes payment routes | `pathfind.compute` |
| Node queues a transaction for later processing | `txq.enqueue` |
| Node increases fees due to high load | `fee.escalate` |
| Node fetches the latest trusted validator list | `validator.list.fetch` |
| Node votes on a protocol amendment | `amendment.vote` |
| Node synchronizes state tree data | `shamap.sync` |
---
## 1.2 Key Components for Instrumentation
> **TxQ** = Transaction Queue | **UNL** = Unique Node List
| 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 |
| **PathFinding** | `src/xrpld/app/paths/` | Payment path computation | Path latency, cache hits |
| **TxQ** | `src/xrpld/app/misc/TxQ.cpp` | Transaction queue/fees | Queue depth, eviction rates |
| **LoadManager** | `src/xrpld/app/main/LoadManager.cpp` | Fee escalation/load | Fee levels, load factors |
| **InboundLedgers** | `src/xrpld/app/ledger/InboundLedgers.cpp` | Ledger acquisition | Sync time, peer reliability |
| **ValidatorList** | `src/xrpld/app/misc/ValidatorList.cpp` | UNL management | List freshness, fetch failures |
| **AmendmentTable** | `src/xrpld/app/misc/AmendmentTable.cpp` | Protocol amendments | Voting status, activation events |
| **SHAMap** | `src/xrpld/shamap/` | State hash tree | Sync speed, missing nodes |
---
## 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)
```
**Reading the diagram:**
- **Client**: The external entity that submits a transaction to Peer A. It has no trace context -- the trace starts at the first node.
- **Peer A (Receive)**: The entry node that creates the root span `tx.receive`, runs HashRouter deduplication to avoid processing duplicates, and creates a child `tx.validate` span.
- **Peer A to Peer B arrow**: The relay message carries trace context (trace_id + parent span_id), enabling Peer B to create a linked span under the same trace.
- **Peer B (Relay)**: Receives the transaction and trace context, creates a `tx.receive` span linked to Peer A's trace, then relays onward.
- **Peer C (Validate)**: Final hop in this example. Creates a linked `tx.receive` span and runs `tx.process` to fully process the transaction.
- **Blue rectangles**: Highlight the span boundaries on each node, showing where instrumentation creates and closes spans.
### 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/>ledger_seq = 12345678<br/>consensus_mode = proposing<br/>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
```
**Reading the diagram:**
- **consensus.round (orange, root span)**: The top-level span encompassing the entire consensus round, with attributes like ledger sequence, mode, and proposer count.
- **consensus.phase.open (blue)**: The first phase where the node waits (~3s) to collect incoming transactions before proposing.
- **consensus.phase.establish (green)**: The negotiation phase where validators exchange proposals, resolve disputes, and converge on a transaction set. Child spans track each proposal received/sent and each dispute resolved.
- **consensus.phase.accept (pink)**: The final phase where the agreed transaction set is applied, a new ledger is built, and the ledger is validated. Child spans cover `ledger.build` and `ledger.validate`.
- **Arrows (open to establish to accept)**: The sequential flow through the three consensus phases. Each phase must complete before the next begins.
---
## 1.5 RPC Request Flow
> **WS** = WebSocket
RPC requests support W3C Trace Context headers for distributed tracing across services:
```mermaid
flowchart TB
subgraph request["rpc.request (root span)"]
http["HTTP Request — POST /<br/>traceparent:<br/>00-abc123...-def456...-01"]
attrs["Attributes:<br/>http.method = POST<br/>net.peer.ip = 192.168.1.100<br/>command = submit"]
subgraph enqueue["jobqueue.enqueue"]
job_attr["job_type = jtCLIENT_RPC"]
end
subgraph command["rpc.command.submit"]
cmd_attrs["version = 2<br/>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
```
**Reading the diagram:**
- **rpc.request (green, root span)**: The outermost span representing the full RPC request lifecycle, from HTTP receipt to response. Carries the W3C `traceparent` header for distributed tracing.
- **HTTP Request node**: Shows the incoming POST request with its `traceparent` header and extracted attributes (method, peer IP, command name).
- **jobqueue.enqueue (blue)**: The span covering the asynchronous handoff from the RPC thread to the JobQueue worker thread. The trace context is preserved across this async boundary.
- **rpc.command.submit (orange)**: The span for the actual command execution, with child spans for deserialization, local validation, and network submission.
- **Response node**: The final output with HTTP status and total duration, marking the end of the root span.
- **Arrows (top to bottom)**: The sequential processing pipeline -- receive request, extract attributes, enqueue job, execute command, return response.
---
## 1.6 Key Trace Points
> **TxQ** = Transaction Queue
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 |
| **PathFinding** | `pathfind.request` | `PathRequest.cpp` | `doUpdate()` | High |
| **PathFinding** | `pathfind.compute` | `Pathfinder.cpp` | `findPaths()` | High |
| **TxQ** | `txq.enqueue` | `TxQ.cpp` | `apply()` | High |
| **TxQ** | `txq.apply` | `TxQ.cpp` | `processClosedLedger()` | High |
| **Fee** | `fee.escalate` | `LoadManager.cpp` | `raiseLocalFee()` | Medium |
| **Ledger** | `ledger.replay` | `LedgerReplayer.h` | `replay()` | Medium |
| **Ledger** | `ledger.delta` | `LedgerDeltaAcquire.h` | `processData()` | Medium |
| **Validator** | `validator.list.fetch` | `ValidatorList.cpp` | `verify()` | Medium |
| **Validator** | `validator.manifest` | `Manifest.cpp` | `applyManifest()` | Low |
| **Amendment** | `amendment.vote` | `AmendmentTable.cpp` | `doVoting()` | Low |
| **SHAMap** | `shamap.sync` | `SHAMap.cpp` | `fetchRoot()` | Medium |
---
## 1.7 Instrumentation Priority
> **TxQ** = Transaction Queue
```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: [0.2, 0.92]
Transaction Tracing: [0.55, 0.88]
Consensus Tracing: [0.78, 0.82]
PathFinding: [0.38, 0.75]
TxQ and Fees: [0.25, 0.65]
Ledger Sync: [0.62, 0.58]
Peer Message Tracing: [0.35, 0.25]
JobQueue Tracing: [0.2, 0.48]
Validator Mgmt: [0.48, 0.42]
Amendment Tracking: [0.15, 0.32]
SHAMap Operations: [0.72, 0.45]
```
---
## 1.8 Observable Outcomes
> **TxQ** = Transaction Queue | **UNL** = Unique Node List
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="xrpld" && tx_hash="ABC123..."}` |
| **Cross-Node Propagation** | Transaction path across multiple xrpld nodes with timing | `{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 | `{command="account_info"}` |
| **Ledger Acquisition** | Peer-to-peer ledger data requests and responses | `{span.name="ledger.acquire"}` |
| **PathFinding Latency** | Path computation time and cache effectiveness for payment RPCs | `{span.name="pathfind.compute"}` |
| **TxQ Behavior** | Queue depth, eviction patterns, fee escalation during congestion | `{span.name=~"txq.*"}` |
| **Ledger Sync** | Full acquisition timeline including delta and transaction fetches | `{span.name=~"ledger.acquire.*"}` |
| **Validator Health** | UNL fetch success, manifest updates, stale list detection | `{span.name=~"validator.*"}` |
### 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 |
| **PathFinding Latency** | Path computation time per currency pair | Heatmap by currency |
| **TxQ Depth** | Queued transactions over time | Time series with thresholds |
| **Fee Escalation Level** | Current fee multiplier | Gauge with alert thresholds |
| **Ledger Sync Duration** | Time to acquire missing ledgers | Histogram |
### 1.8.3 Concrete Dashboard Examples
**Transaction Trace View (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, 2.4, 2.8, 3.2, 3.8, 4.3, 4.5, 5.0, 4.7, 4.0, 3.2, 2.6, 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 |
| **Path Computation Slow** | pathfind.compute span shows high latency; cache miss rate in attributes | Warm the RippleLineCache, check order book depth |
| **TxQ Full** | txq.enqueue spans show evictions; fee.escalate spans increasing | Monitor fee levels, alert operators |
| **Ledger Sync Stalled** | ledger.acquire spans timing out; peer reliability attributes show issues | Check peer connectivity, add trusted peers |
| **UNL Stale** | validator.list.fetch spans failing; last_update attribute aging | Verify validator site URLs, check DNS |
### 1.8.5 Developer Debugging Workflow
1. **Find Transaction**: Query by `tx_hash` to get full trace
2. **Identify Bottleneck**: Look at span durations to find slowest component
3. **Check Attributes**: Review `validity`, `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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@@ -0,0 +1,564 @@
# Design Decisions
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Architecture Analysis](./01-architecture-analysis.md)
---
## 2.1 OpenTelemetry Components
> **OTLP** = OpenTelemetry Protocol
### 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_http_exporter` | OTLP/HTTP export | Yes (shipped in Phase 1b) |
| `opentelemetry-cpp::otlp_grpc_exporter` | OTLP/gRPC export | Future (not yet wired up) |
### 2.1.2 Instrumentation Strategy
**Manual Instrumentation** (recommended):
| Approach | Pros | Cons |
| ---------- | --------------------------------------------------------------- | ------------------------------------------------------- |
| **Manual** | Precise control, optimized placement, xrpld-specific attributes | More development effort |
| **Auto** | Less code, automatic coverage | Less control, potential overhead, limited customization |
---
## 2.2 Exporter Configuration
> **OTLP** = OpenTelemetry Protocol
```mermaid
flowchart TB
subgraph nodes["xrpld Nodes"]
node1["xrpld<br/>Node 1"]
node2["xrpld<br/>Node 2"]
node3["xrpld<br/>Node 3"]
end
collector["OpenTelemetry<br/>Collector<br/>(sidecar or standalone)"]
subgraph backends["Observability Backends"]
tempo["Tempo"]
elastic["Elastic<br/>APM"]
end
node1 -->|"OTLP/HTTP<br/>:4318"| collector
node2 -->|"OTLP/HTTP<br/>:4318"| collector
node3 -->|"OTLP/HTTP<br/>:4318"| collector
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
```
**Reading the diagram:**
- **xrpld Nodes (blue)**: The source of telemetry data. Each xrpld node exports spans via OTLP/HTTP on port 4318 (the only exporter shipped in Phase 1b).
- **OpenTelemetry Collector (red)**: The central aggregation point that receives spans from all nodes. Can run as a sidecar (per-node) or standalone (shared). Handles batching, filtering, and routing.
- **Observability Backends (green)**: The storage and visualization destinations. Tempo is the recommended backend for both development and production, and Elastic APM is an alternative. The Collector routes to one or more backends.
- **Arrows (nodes to collector to backends)**: The data pipeline -- spans flow from nodes to the Collector over HTTP, then the Collector fans out to the configured backends.
### 2.2.1 OTLP/HTTP (Shipped in Phase 1b)
OTLP/HTTP is the only exporter wired up in Phase 1b. It is configured via
`OtlpHttpExporterOptions` with the collector traces endpoint
(`http://localhost:4318/v1/traces` by default) and a JSON content type
(binary protobuf is also available).
### 2.2.2 OTLP/gRPC (Future Work — Planned Upgrade)
OTLP/gRPC is planned as a future upgrade from the HTTP exporter. The gRPC
transport offers lower per-span overhead and tighter back-pressure semantics
than HTTP/JSON, making it attractive for production deployments once the HTTP
path is validated in earlier phases.
Required to land this upgrade:
1. Add `opentelemetry-cpp::otlp_grpc_exporter` to the Conan recipe (the
dependency already exists but is not linked in Phase 1b builds).
2. Extend `TelemetryConfig.cpp` to parse an `exporter` key (`otlp_http`
default, `otlp_grpc` opt-in) and a gRPC endpoint override.
3. In `Telemetry::start()` branch on the parsed exporter type and construct
either `OtlpHttpExporterFactory::Create(httpOpts)` or
`OtlpGrpcExporterFactory::Create(grpcOpts)` accordingly.
4. Update the runbook and dashboards to document the alternate port and TLS
settings.
When wired up, the gRPC path will use `OtlpGrpcExporterOptions` configured with
the collector endpoint (host on port 4317), TLS credentials enabled, and a CA
certificate path.
Until that work lands, `OtlpGrpcExporterOptions` is **not** used by any code
path in Phase 1b through Phase 5.
---
## 2.3 Span Naming Conventions
> **TxQ** = Transaction Queue | **UNL** = Unique Node List | **WS** = WebSocket
### 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
| Span name | Description |
| ------------------------------ | --------------------------------------- |
| `tx.receive` | Transaction received from network |
| `tx.validate` | Transaction signature/format validation |
| `tx.process` | Full transaction processing |
| `tx.relay` | Transaction relay to peers |
| `tx.apply` | Apply transaction to ledger |
| `consensus.round` | Complete consensus round |
| `consensus.phase.open` | Open phase - collecting transactions |
| `consensus.phase.establish` | Establish phase - reaching agreement |
| `consensus.phase.accept` | Accept phase - applying consensus |
| `consensus.proposal.receive` | Receive peer proposal |
| `consensus.proposal.send` | Send our proposal |
| `consensus.validation.receive` | Receive peer validation |
| `consensus.validation.send` | Send our validation |
| `rpc.request` | HTTP/WebSocket request handling |
| `rpc.command.*` | Specific RPC command (dynamic) |
| `peer.connect` | Peer connection establishment |
| `peer.disconnect` | Peer disconnection |
| `peer.message.send` | Send protocol message |
| `peer.message.receive` | Receive protocol message |
| `ledger.acquire` | Ledger acquisition from network |
| `ledger.build` | Build new ledger |
| `ledger.validate` | Ledger validation |
| `ledger.close` | Close ledger |
| `ledger.replay` | Ledger replay executed |
| `ledger.delta` | Delta-based ledger acquired |
| `pathfind.request` | Path request initiated |
| `pathfind.compute` | Path computation executed |
| `txq.enqueue` | Transaction queued |
| `txq.apply` | Queued transaction applied |
| `fee.escalate` | Fee escalation triggered |
| `validator.list.fetch` | UNL list fetched |
| `validator.manifest` | Manifest update processed |
| `amendment.vote` | Amendment voting executed |
| `shamap.sync` | State tree synchronization |
| `job.enqueue` | Job added to queue |
| `job.execute` | Job execution |
### 2.3.3 Attribute Naming Conventions
Span **names** follow §2.3.1 (dotted `<component>.<operation>`). Span
**attribute keys** follow the rules below. The constants in the `*SpanNames.h`
headers are the single source of truth; the collector, Tempo, the Grafana
dashboards, and the runbook all consume these exact keys, so every layer must
agree with the code. A CI check enforces this end to end.
1. **Per-span unique attribute** → bare field name, allowed when the field is
recorded by a single span/workflow so the span name already supplies the
domain (e.g. `command`, `version`, `local` on `rpc.command`).
2. **Shared attribute (same concept on more than one span)** → ONE key, reused
verbatim on every span that records it; the span name tells the occurrences
apart, so no per-emitter prefix is added. Name it by the field's meaning: a
property of a domain object keeps that object's bare field name (`ledger_hash`,
`ledger_seq`, `tx_hash`, `peer_id`, `full_validation`); a field already
qualified by a sub-kind keeps that qualifier on every emitter (`proposal_trusted`
on both `consensus.proposal.receive` and `peer.proposal.receive`;
`validation_trusted` likewise). Defined once in the base `SpanNames.h`
`namespace attr` block and re-exported (`using`) by each domain header.
3. **Collision qualifier**`<domain>_<field>`, only when a bare name would
collide with a DIFFERENT concept in the shared spanmetrics label space or with
the OTel-reserved `status` key (e.g. `rpc_status`, `grpc_status`,
`consensus_state`, `consensus_round`, `consensus_mode`). This disambiguates
distinct concepts that share a word; it is NOT used to tag the same concept
with its emitting workflow — that is rule 2 (one shared name).
4. **Resource attribute** → dotted `xrpl.<subsystem>.<field>`, reserved ONLY
for process/network identity set once at startup (`xrpl.network.id`,
`xrpl.network.type`). Span attributes are never dotted in the `xrpl.` form —
it blurs the resource/span scope boundary and parses awkwardly in TraceQL.
5. **Span names** use `<subsystem>[.<component>]` (dotted, per §2.3.1). Only
attribute _keys_ follow rules 14.
Standard OpenTelemetry semantic-convention keys keep their canonical dotted
form (e.g. `service.*` resource attributes, `http.*` span attributes); the
"no dotted form" rule applies to xrpl-custom keys only.
The same rules are recorded in `CONTRIBUTING.md` (the permanent home, since
`OpenTelemetryPlan/` is removed once the rollout completes). The attribute
examples in §2.4 below follow these rules.
---
## 2.4 Attribute Schema
> **TxQ** = Transaction Queue | **UNL** = Unique Node List | **OTLP** = OpenTelemetry Protocol
### 2.4.1 Resource Attributes (Set Once at Startup)
Resource attributes identify the process and are set once at startup. They use
the standard OpenTelemetry semantic conventions plus custom dotted `xrpl.*`
keys (the dotted form is reserved for resource scope per §2.3.3).
| Key | Type / value | Description |
| --------------------- | ------------------------------------------------------- | ------------------------------ |
| `service.name` | `"xrpld"` | Standard `SERVICE_NAME` |
| `service.version` | `BuildInfo::getVersionString()` | Standard `SERVICE_VERSION` |
| `service.instance.id` | node public key (base58) | Standard `SERVICE_INSTANCE_ID` |
| `xrpl.network.id` | network id (e.g. 0 for mainnet) | Network identifier |
| `xrpl.network.type` | `"mainnet"` \| `"testnet"` \| `"devnet"` \| `"unknown"` | Network kind |
| `xrpl.node.type` | `"validator"` \| `"stock"` \| `"reporting"` | Node role |
| `xrpl.node.cluster` | cluster name | Cluster name, if clustered |
### 2.4.2 Span Attributes by Category
> Span attribute keys use the underscore form from §2.3.3 (shared/qualified
> keys are `<domain>_<field>`; per-span unique keys are bare). The dotted form
> is reserved for the resource attributes in §2.4.1 above. This catalog lists
> the planned attribute set by category; the exact emitted key for each
> implemented span is defined by the `*SpanNames.h` constants, which are the
> single source of truth where the two differ.
#### Transaction Attributes
| Key | Type | Description |
| -------------- | ------ | ------------------------------------- |
| `tx_hash` | string | Transaction hash (hex) |
| `tx_type` | string | `"Payment"`, `"OfferCreate"`, etc. |
| `tx_account` | string | Source account (redacted in prod) |
| `tx_sequence` | int64 | Account sequence number |
| `tx_fee` | int64 | Fee in drops |
| `tx_result` | string | `"tesSUCCESS"`, `"tecPATH_DRY"`, etc. |
| `ledger_index` | int64 | Ledger containing transaction |
#### Consensus Attributes
| Key | Type | Description |
| -------------------- | ------- | ----------------------------------- |
| `consensus_round` | int64 | Round number |
| `consensus_phase` | string | `"open"`, `"establish"`, `"accept"` |
| `consensus_mode` | string | `"proposing"`, `"observing"`, etc. |
| `proposers` | int64 | Number of proposers |
| `prev_ledger_prefix` | string | Previous ledger hash prefix |
| `ledger_seq` | int64 | Ledger sequence |
| `tx_count` | int64 | Transactions in consensus set |
| `round_time_ms` | float64 | Round duration |
#### RPC Attributes
| Key | Type | Description |
| ---------- | ------ | ----------------------------------------------------- |
| `command` | string | Command name (per-span unique on `rpc.command`) |
| `version` | int64 | API version |
| `rpc_role` | string | `"admin"` or `"user"` (qualified — `role` is generic) |
| `params` | string | Sanitized parameters (optional) |
#### Peer & Message Attributes
| Key | Type | Description |
| -------------------- | ------- | -------------------------- |
| `peer_id` | string | Peer public key (base58) |
| `peer_address` | string | IP:port |
| `peer_latency_ms` | float64 | Measured latency |
| `peer_cluster` | string | Cluster name if clustered |
| `message_type` | string | Protocol message type name |
| `message_size_bytes` | int64 | Message size |
| `message_compressed` | bool | Whether compressed |
#### Ledger & Job Attributes
| Key | Type | Description |
| ----------------- | ------- | --------------------- |
| `ledger_hash` | string | Ledger hash |
| `ledger_index` | int64 | Ledger sequence/index |
| `close_time` | int64 | Close time (epoch) |
| `ledger_tx_count` | int64 | Transaction count |
| `job_type` | string | Job type name |
| `job_queue_ms` | float64 | Time spent in queue |
| `job_worker` | int64 | Worker thread ID |
#### PathFinding Attributes
| Key | Type | Description |
| -------------------------- | ------ | ------------------------- |
| `pathfind_source_currency` | string | Source currency code |
| `pathfind_dest_currency` | string | Destination currency code |
| `pathfind_path_count` | int64 | Number of paths found |
| `pathfind_cache_hit` | bool | RippleLineCache hit |
#### TxQ Attributes
| Key | Type | Description |
| --------------------- | ------ | --------------------------- |
| `txq_queue_depth` | int64 | Current queue depth |
| `txq_fee_level` | int64 | Fee level of transaction |
| `txq_eviction_reason` | string | Why transaction was evicted |
#### Fee Attributes
| Key | Type | Description |
| ---------------------- | ----- | ------------------------- |
| `fee_load_factor` | int64 | Current load factor |
| `fee_escalation_level` | int64 | Fee escalation multiplier |
#### Validator Attributes
| Key | Type | Description |
| ------------------------ | ----- | ------------------------- |
| `validator_list_size` | int64 | UNL size |
| `validator_list_age_sec` | int64 | Seconds since last update |
#### Amendment Attributes
| Key | Type | Description |
| ------------------ | ------ | -------------------------------------- |
| `amendment_name` | string | Amendment name |
| `amendment_status` | string | `"enabled"`, `"vetoed"`, `"supported"` |
#### SHAMap Attributes
| Key | Type | Description |
| ---------------------- | ------- | --------------------------------------------- |
| `shamap_type` | string | `"transaction"`, `"state"`, `"account_state"` |
| `shamap_missing_nodes` | int64 | Number of missing nodes during sync |
| `shamap_duration_ms` | float64 | Sync duration |
### 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** | `consensus_round`, `consensus_phase`, `consensus_mode`, `proposers`, `round_time_ms` | Analyze consensus timing |
| **RPC** | `command`, `version`, `rpc_status`, `duration_ms` | Monitor RPC performance |
| **Peer** | `peer_id` (public key), `peer_latency_ms`, `message_type`, `message_size_bytes` | Network topology analysis |
| **Ledger** | `ledger_hash`, `ledger_index`, `close_time`, `ledger_tx_count` | Ledger progression tracking |
| **Job** | `job_type`, `job_queue_ms`, `job_worker` | JobQueue performance |
| **PathFinding** | `pathfind_source_currency`, `pathfind_dest_currency`, `pathfind_path_count`, `pathfind_cache_hit` | Payment path analysis |
| **TxQ** | `txq_queue_depth`, `txq_fee_level`, `txq_eviction_reason` | Queue depth and fee tracking |
| **Fee** | `fee_load_factor`, `fee_escalation_level` | Fee escalation monitoring |
| **Validator** | `validator_list_size`, `validator_list_age_sec` | UNL health monitoring |
| **Amendment** | `amendment_name`, `amendment_status` | Protocol upgrade tracking |
| **SHAMap** | `shamap_type`, `shamap_missing_nodes`, `shamap_duration_ms` | State tree sync performance |
### 2.4.4 Privacy & Sensitive Data Policy
> **PII** = Personally Identifiable Information
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** | `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 (via an `attributes` processor)
to hash or redact sensitive attributes before export — for example, hashing
`tx_account`, deleting `peer_address` to drop IP addresses, and deleting
`params` to redact request parameters.
#### Configuration Options for Privacy
In `xrpld.cfg`, operators control data collection granularity through the
`[telemetry]` section. Besides `enabled`, per-component toggles
(`trace_transactions`, `trace_consensus`, `trace_rpc`, `trace_peer` — the last
often disabled due to high volume) select which spans are emitted, and
redaction flags (`redact_account` to hash account addresses, `redact_peer_address`
to remove peer IP addresses) control SDK-level redaction before export.
> **Note**: The `redact_account` configuration in `xrpld.cfg` controls SDK-level redaction before export, while collector-level filtering (see [Collector-Level Data Protection](#collector-level-data-protection) above) provides an additional defense-in-depth layer. Both can operate independently.
> **Key Principle**: Telemetry collects **operational metadata** (timing, counts, hashes) — never **sensitive content** (keys, balances, amounts, raw payloads).
---
## 2.5 Context Propagation Design
> **WS** = WebSocket
### 2.5.1 Propagation Boundaries
```mermaid
flowchart TB
subgraph http["HTTP/WebSocket (RPC)"]
w3c["W3C Trace Context Headers:<br/>traceparent:<br/>00-trace_id-span_id-flags<br/>tracestate: xrpld=..."]
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/> otel::context::Context<br/> 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
```
**Reading the diagram:**
- **HTTP/WebSocket - RPC (blue)**: For client-facing RPC requests, trace context is propagated using the W3C `traceparent` header. This is the standard approach and works with any OTel-compatible client.
- **Protocol Buffers - P2P (green)**: For peer-to-peer messages between xrpld nodes, trace context is embedded as a protobuf `TraceContext` message carrying trace_id, span_id, flags, and optional trace_state.
- **JobQueue - Internal Async (red)**: For asynchronous work within a single node, the OTel context is captured when a job is created and restored when the job executes on a worker thread. This bridges the async gap so spans remain linked.
---
## 2.6 Integration with Existing Observability
> **OTLP** = OpenTelemetry Protocol | **WS** = WebSocket
### 2.6.1 Existing Frameworks Comparison
xrpld 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
A PerfLog entry is a JSON object with fields such as `time`, `method`,
`duration_us`, and `result`.
#### 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
In xrpld, Beast Insight is used through `increment` (counters), `gauge`
(point-in-time values), and `timing` (durations) calls.
#### 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
A span is created via `startSpan` (e.g. `"tx.relay"`), annotated with
attributes such as `tx_hash` and `peer_id`, and is automatically linked to its
parent through the active 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
```mermaid
flowchart TB
subgraph xrpld["xrpld 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 xrpld fill:#212121,stroke:#0a0a0a,color:#ffffff
style grafana fill:#bf360c,stroke:#8c2809,color:#ffffff
```
**Reading the diagram:**
- **xrpld Process (dark gray)**: The single xrpld node running all three observability frameworks side by side. Each framework operates independently with no interference.
- **PerfLog to perf.log**: PerfLog writes JSON-formatted event logs to a local file. Grafana can ingest these via Loki or a file-based datasource.
- **Beast Insight to StatsD Server**: Insight sends aggregated metrics (counters, gauges) over UDP to a StatsD server. Grafana reads from StatsD-compatible backends like Graphite or Prometheus (via StatsD exporter).
- **OpenTelemetry to OTLP Collector**: OTel exports spans over OTLP/gRPC to a Collector, which then forwards to a trace backend (Tempo).
- **Grafana (red, unified UI)**: All three data streams converge in Grafana, enabling operators to correlate logs, metrics, and traces in a single dashboard.
### 2.6.5 Correlation with PerfLog
Trace IDs can be correlated with existing PerfLog entries for comprehensive
debugging. The design is for `RPCHandler.cpp` to start an `rpc.command.<method>`
span alongside the existing PerfLog `rpcStart`/`rpcFinish`/`rpcError` calls,
extract the span's `trace_id` (when valid), and eventually stamp it onto the
PerfLog entry (a planned `setTraceId` hook) so logs and traces share a key. The
span status is set to OK on success or to error (recording the exception) on
failure.
---
_Previous: [Architecture Analysis](./01-architecture-analysis.md)_ | _Next: [Implementation Strategy](./03-implementation-strategy.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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@@ -0,0 +1,488 @@
# Implementation Strategy
> **Parent Document**: [OpenTelemetryPlan.md](./OpenTelemetryPlan.md)
> **Related**: [Configuration Reference](./05-configuration-reference.md)
---
## 3.1 Directory Structure
The telemetry implementation follows xrpld'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
> **OTLP** = OpenTelemetry Protocol
| Metric | Overhead | Notes |
| ------------- | ---------- | ------------------------------------------------ |
| CPU | 1-3% | Of per-transaction CPU cost (~200μs baseline) |
| Memory | ~10 MB | SDK statics + batch buffer + worker thread stack |
| 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
> **Note on hardware assumptions**: The costs below are based on the official OTel C++ SDK CI benchmarks
> (969 runs on GitHub Actions 2-core shared runners). On production server hardware (3+ GHz Xeon),
> expect costs at the **lower end** of each range (~30-50% improvement over CI hardware).
| Operation | Time (ns) | Frequency | Impact |
| --------------------- | --------- | ---------------------- | ---------- |
| Span creation | 500-1000 | 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 | 100-200 | 0-2 per span | Low |
| Context injection | 150-250 | Per outgoing message | Low |
| Context extraction | 100-180 | Per incoming message | Low |
| GetCurrent context | 10-20 | Thread-local access | Negligible |
**Source**: Span creation based on OTel C++ SDK `BM_SpanCreation` benchmark (AlwaysOnSampler +
SimpleSpanProcessor + InMemoryExporter), median ~1,000 ns on CI hardware. AddEvent includes
timestamp read + string copy + vector push + mutex acquisition. Context injection/extraction
confirmed by `BM_SpanCreationWithScope` benchmark delta (~160 ns).
### 3.4.2 Transaction Processing Overhead
<div align="center">
```mermaid
%%{init: {'pie': {'textPosition': 0.75}}}%%
pie showData
"tx.receive (1400ns)" : 1400
"tx.validate (1200ns)" : 1200
"tx.relay (1200ns)" : 1200
"Context inject (200ns)" : 200
```
**Transaction Tracing Overhead (~4.0μs total)**
</div>
**Overhead percentage**: 4.0 μs / 200 μs (avg tx processing) = **~2.0%**
> **Breakdown**: Each span (tx.receive, tx.validate, tx.relay) costs ~1,000 ns for creation plus
> ~200-400 ns for 3-5 attribute sets. Context injection is ~200 ns (confirmed by benchmarks).
> On production hardware, expect ~2.6 μs total (~1.3% overhead) due to faster span creation (~500-600 ns).
### 3.4.3 Consensus Round Overhead
| Operation | Count | Cost (ns) | Total |
| ---------------------- | ----- | --------- | ---------- |
| consensus.round span | 1 | ~1200 | ~1.2 μs |
| consensus.phase spans | 3 | ~1100 | ~3.3 μs |
| proposal.receive spans | ~20 | ~1100 | ~22 μs |
| proposal.send spans | ~3 | ~1100 | ~3.3 μs |
| Context operations | ~30 | ~200 | ~6 μs |
| **TOTAL** | | | **~36 μs** |
> **Why higher**: Each span costs ~1,000 ns creation + ~100-200 ns for 1-2 attributes, totaling ~1,100-1,200 ns.
> Context operations remain ~200 ns (confirmed by benchmarks). On production hardware, expect ~24 μs total.
**Overhead percentage**: 36 μs / 3s (typical round) = **~0.001%** (negligible)
### 3.4.4 RPC Request Overhead
| Operation | Cost (ns) |
| ---------------- | ------------ |
| rpc.request span | ~1200 |
| rpc.command span | ~1100 |
| Context extract | ~250 |
| Context inject | ~200 |
| **TOTAL** | **~2.75 μs** |
> **Why higher**: Each span costs ~1,000 ns creation + ~100-200 ns for attributes (command name,
> version, role). Context extract/inject costs are confirmed by OTel C++ benchmarks.
- Fast RPC (1ms): 2.75 μs / 1ms = **~0.275%**
- Slow RPC (100ms): 2.75 μs / 100ms = **~0.003%**
---
## 3.5 Memory Overhead Analysis
> **OTLP** = OpenTelemetry Protocol
### 3.5.1 Static Memory
| Component | Size | Allocated |
| ------------------------------------ | ----------- | ---------- |
| TracerProvider singleton | ~64 KB | At startup |
| BatchSpanProcessor (circular buffer) | ~16 KB | At startup |
| BatchSpanProcessor (worker thread) | ~8 MB | At startup |
| OTLP exporter (gRPC channel init) | ~256 KB | At startup |
| Propagator registry | ~8 KB | At startup |
| **Total static** | **~8.3 MB** | |
> **Why higher than earlier estimate**: The BatchSpanProcessor's circular buffer itself is only ~16 KB
> (2049 x 8-byte `AtomicUniquePtr` entries), but it spawns a dedicated worker thread whose default
> stack size on Linux is ~8 MB. The OTLP gRPC exporter allocates memory for channel stubs and TLS
> initialization. The worker thread stack dominates the static footprint.
### 3.5.2 Dynamic Memory
| Component | Size per unit | Max units | Peak |
| -------------------- | -------------- | ---------- | --------------- |
| Active span | ~500-800 bytes | 1000 | ~500-800 KB |
| Queued span (export) | ~500 bytes | 2048 | ~1 MB |
| Attribute storage | ~80 bytes | 5 per span | Included |
| Context storage | ~64 bytes | Per thread | ~6.4 KB |
| **Total dynamic** | | | **~1.5-1.8 MB** |
> **Why active spans are larger**: An active `Span` object includes the wrapper (~88 bytes: shared_ptr,
> mutex, unique_ptr to Recordable) plus `SpanData` (~250 bytes: SpanContext, timestamps, name, status,
> empty containers) plus attribute storage (~200-500 bytes for 3-5 string attributes in a `std::map`).
> Source: `sdk/src/trace/span.h` and `sdk/include/opentelemetry/sdk/trace/span_data.h`.
> Queued spans release the wrapper, keeping only `SpanData` + attributes (~500 bytes).
### 3.5.3 Memory Growth Characteristics
```mermaid
---
config:
xyChart:
width: 700
height: 400
---
xychart-beta
title "Memory Usage vs Span Rate (bounded by queue limit)"
x-axis "Spans/second" [0, 200, 400, 600, 800, 1000]
y-axis "Memory (MB)" 0 --> 12
line [8.5, 9.2, 9.6, 9.9, 10.0, 10.0]
```
**Notes**:
- Memory increases with span rate but **plateaus at queue capacity** (default 2048 spans)
- Batch export prevents unbounded growth
- At queue limit, oldest spans are dropped (not blocked)
- Maximum memory is bounded: ~8.3 MB static (dominated by worker thread stack) + 2048 queued spans x ~500 bytes (~1 MB) + active spans (~0.8 MB) ≈ **~10 MB ceiling**
- The worker thread stack (~8 MB) is virtual memory; actual RSS depends on stack usage (typically much less)
> **Measured outcome**: A perf-iac comparison (telemetry compiled-in + enabled vs compiled-out,
> 9 nodes — validators and client-handlers — under sustained payment load) recorded **no measurable
> RSS increase over the telemetry-off baseline** (~15 GiB mean / ~1819 GiB peak on both sides),
> with no OOM, no swap, and no leak across the run. The ~10 MB ceiling above is therefore a
> provisioning safety margin (dominated by virtual thread-stack address space), not an expected
> resident-memory increase. Steady-state cost shows up as throughput (~34% at head sampling 1.0),
> not memory.
### 3.5.4 Performance Data Sources
The overhead estimates in Sections 3.3-3.5 are derived from the following sources:
| Source | What it covers | URL |
| ------------------------------------------------ | ----------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ |
| OTel C++ SDK CI benchmarks (969 runs) | Span creation, context activation, sampler overhead | [Benchmark Dashboard](https://open-telemetry.github.io/opentelemetry-cpp/benchmarks/) |
| `api/test/trace/span_benchmark.cc` | API-level span creation (~22 ns no-op) | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/api/test/trace/span_benchmark.cc) |
| `sdk/test/trace/sampler_benchmark.cc` | SDK span creation with samplers (~1,000 ns AlwaysOn) | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/test/trace/sampler_benchmark.cc) |
| `sdk/include/.../span_data.h` | SpanData memory layout (~250 bytes base) | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/include/opentelemetry/sdk/trace/span_data.h) |
| `sdk/src/trace/span.h` | Span wrapper memory layout (~88 bytes) | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/src/trace/span.h) |
| `sdk/include/.../batch_span_processor_options.h` | Default queue size (2048), batch size (512) | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/include/opentelemetry/sdk/trace/batch_span_processor_options.h) |
| `sdk/include/.../circular_buffer.h` | CircularBuffer implementation (AtomicUniquePtr array) | [Source](https://github.com/open-telemetry/opentelemetry-cpp/blob/main/sdk/include/opentelemetry/sdk/common/circular_buffer.h) |
| OTLP proto definition | Serialized span size estimation | [Proto](https://github.com/open-telemetry/opentelemetry-proto/blob/main/opentelemetry/proto/trace/v1/trace.proto) |
---
## 3.6 Network Overhead Analysis
### 3.6.1 Export Bandwidth
> **Bytes per span**: Estimates use ~500 bytes/span (conservative upper bound). OTLP protobuf analysis
> shows a typical span with 3-5 string attributes serializes to ~200-300 bytes raw; with gzip
> compression (~60-70% of raw) and batching (amortized headers), ~350 bytes/span is more realistic.
> The table uses the conservative estimate for capacity planning.
| 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 | 25 bytes | ~100 | ~2.5 KB/s |
| TMProposeSet | 25 bytes | ~10 | ~250 B/s |
| TMValidation | 25 bytes | ~50 | ~1.25 KB/s |
| **Total P2P overhead** | | | **~4 KB/s** |
---
## 3.7 Optimization Strategies
### 3.7.1 Sampling Strategies
#### Tail Sampling
```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
Instrumentation is gated on two levels. A compile-time feature flag (`XRPL_ENABLE_TELEMETRY`) reduces the trace macros to no-ops when telemetry is built out, so disabled builds carry zero cost. At runtime, per-component guards (e.g. `shouldTracePeer()`) skip span creation for components whose tracing is turned off, incurring no overhead beyond a single boolean check.
---
## 3.8 Links to Detailed Documentation
- **[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
> **TxQ** = Transaction Queue
This section provides a detailed assessment of how intrusive the OpenTelemetry integration is to the existing xrpld codebase.
### 3.9.1 Files Modified Summary
| Component | Files Modified | Lines Added | Lines Changed | Architectural Impact |
| --------------------- | -------------- | ----------- | ------------- | -------------------- |
| **Core Telemetry** | 11 new files | ~980 | 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 |
| **PathFinding** | 2 | ~80 | ~5 | Minimal |
| **TxQ/Fee** | 2 | ~60 | ~5 | Minimal |
| **Validator/Amend** | 3 | ~40 | ~5 | Minimal |
| **Total** | **~34 files** | **~1,670** | **~120** | **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
"PathFinding" : 80
"TxQ/Fee" : 60
"Validator/Amendment" : 40
"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/TelemetryConfig.h` | ~80 | Configuration structures |
| `include/xrpl/telemetry/TraceContext.h` | ~80 | Context propagation |
| `include/xrpl/telemetry/SpanGuard.h` | ~120 | RAII wrapper |
| `include/xrpl/telemetry/SpanAttributes.h` | ~60 | Attribute helpers |
| `src/libxrpl/telemetry/Telemetry.cpp` | ~200 | Implementation |
| `src/libxrpl/telemetry/TelemetryConfig.cpp` | ~60 | Config parsing |
| `src/libxrpl/telemetry/TraceContext.cpp` | ~80 | Context serialization |
| `src/libxrpl/telemetry/NullTelemetry.cpp` | ~40 | No-op implementation |
| `src/xrpld/telemetry/TracingInstrumentation.h` | ~60 | Macros |
| `src/xrpld/telemetry/TracingInstrumentation.cpp` | ~40 | Instrumentation impl |
#### Modified Files (Existing Xrpld Code)
| File | Lines Added | Lines Changed | Risk Level |
| ------------------------------------------------- | ----------- | ------------- | ---------- |
| `src/xrpld/app/main/Application.cpp` | ~15 | ~3 | Low |
| `include/xrpl/core/ServiceRegistry.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/app/paths/PathRequest.cpp` | ~40 | ~3 | Low |
| `src/xrpld/app/paths/Pathfinder.cpp` | ~40 | ~2 | Low |
| `src/xrpld/app/misc/TxQ.cpp` | ~40 | ~3 | Low |
| `src/xrpld/app/main/LoadManager.cpp` | ~20 | ~2 | Low |
| `src/xrpld/app/misc/ValidatorList.cpp` | ~20 | ~2 | Low |
| `src/xrpld/app/misc/AmendmentTable.cpp` | ~10 | ~2 | Low |
| `src/xrpld/app/misc/Manifest.cpp` | ~10 | ~1 | Low |
| `src/xrpld/shamap/SHAMap.cpp` | ~20 | ~3 | 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, 0.55]
Transaction Relay: [0.55, 0.85]
Consensus Tracing: [0.75, 0.92]
Peer Message Tracing: [0.85, 0.35]
JobQueue Context: [0.3, 0.42]
Ledger Acquisition: [0.48, 0.65]
PathFinding: [0.38, 0.72]
TxQ and Fees: [0.25, 0.62]
Validator Mgmt: [0.15, 0.35]
```
**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** | Minimal | Read-only instrumentation; no modification to consensus or transaction data flow |
| **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):** Instrumenting an RPC handler adds roughly 3-4 lines: one macro to start the span and one or two `setAttribute` calls (command name, status). The span ends automatically via RAII, so the existing control flow — process the request, send the result — is untouched.
**Consensus Instrumentation (Medium Intrusiveness):** Consensus is slightly more intrusive because child spans in later phase transitions need the round's context. Beyond the span-start and attribute macros, this requires storing the active context in a new member variable (`currentRoundContext_`) at round start. The existing round logic itself remains unchanged.
---
_Previous: [Design Decisions](./02-design-decisions.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**: [Implementation Phases](./06-implementation-phases.md)
---
## 5.1 xrpld Configuration
> **OTLP** = OpenTelemetry Protocol | **TxQ** = Transaction Queue
### 5.1.1 Configuration File Section
The authoritative `[telemetry]` example lives in `cfg/xrpld-example.cfg`. Telemetry is disabled by default (`enabled=0`); enabling it turns on distributed tracing for transaction flow, consensus, and RPC calls, with traces exported to an OpenTelemetry Collector over OTLP. Head sampling is intentionally fixed at 1.0 (sample everything) and is not configurable — per-node head-sampling would produce broken/partial distributed traces, so volume reduction is delegated to the collector's tail sampling (see Section 7.4.2). The full option reference follows.
### 5.1.2 Configuration Options Summary
| Option | Type | Default | Description |
| --------------------- | ------ | --------------------------------- | ----------------------------------------- |
| `enabled` | bool | `false` | Enable/disable telemetry |
| `endpoint` | string | `http://localhost:4318/v1/traces` | OTLP/HTTP collector endpoint |
| `use_tls` | bool | `false` | Enable TLS for exporter connection |
| `tls_ca_cert` | string | `""` | Path to CA certificate file |
| `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 | `true` | Enable peer message tracing (high volume) |
| `trace_ledger` | bool | `true` | Enable ledger tracing |
| `service_name` | string | `"xrpld"` | Service name for traces |
| `service_instance_id` | string | `<node_pubkey>` | Instance identifier |
**Planned (not yet implemented)**: the following options appear in the design
documents but are not parsed by `TelemetryConfig.cpp` in Phase 1b and later
phases. They will be added as the corresponding subsystems are instrumented:
| Option | Planned Phase | Purpose |
| -------------------------- | ------------- | ----------------------------------------------------------------------- |
| `exporter` | Future | Select between OTLP/HTTP and OTLP/gRPC |
| `trace_pathfind` | Phase 2 | Path computation tracing toggle |
| `trace_txq` | Phase 3 | Transaction queue tracing toggle |
| `trace_validator` | Future | Validator list / manifest update tracing |
| `trace_amendment` | Future | Amendment voting tracing |
| `consensus_trace_strategy` | Phase 4 | Trace ID strategy for consensus rounds (`deterministic` \| `attribute`) |
---
## 5.2 Configuration Parser
> **TxQ** = Transaction Queue
The parser `setup_Telemetry()` in `src/libxrpl/telemetry/TelemetryConfig.cpp` reads the `[telemetry]` `Section` and populates a `Telemetry::Setup` struct, applying the defaults listed in Section 5.1.2 via `section.value_or(...)`. It derives `serviceInstanceId` from the node public key when not overridden, selects the exporter endpoint default by exporter type, and leaves the sampling ratio at its fixed 1.0 default (not read from config — see Section 7.4.2).
---
## 5.3 Application Integration
### 5.3.1 ApplicationImp Changes
> **Deferred identity**: The node public key (`nodeIdentity_`) is not
> available during `ApplicationImp`'s member initializer list — it is
> resolved later in `setup()`. The `Telemetry` object is therefore
> constructed with an empty `serviceInstanceId` and patched via
> `setServiceInstanceId()` once `setup()` has called `getNodeIdentity()`.
`ApplicationImp` (in `src/xrpld/app/main/Application.cpp`) owns a `std::unique_ptr<telemetry::Telemetry> telemetry_`. It is built in the member initializer list via `make_Telemetry(setup_Telemetry(...))` with an empty `serviceInstanceId`, then patched in `setup()` by calling `setServiceInstanceId()` with the Base58 node public key (unless the user supplied a custom `service_instance_id`). `start()` and `run()` forward to `telemetry_->start()` / `telemetry_->stop()`, and `getTelemetry()` returns the owned instance.
### 5.3.2 ServiceRegistry Interface Addition
`include/xrpl/core/ServiceRegistry.h` gains a pure-virtual `telemetry::Telemetry& getTelemetry()` (with a forward declaration of `telemetry::Telemetry`), giving every component a uniform accessor for the tracing subsystem.
> **Note:** `Application` extends `ServiceRegistry`, so `getTelemetry()` is
> available on both. Components that hold a `ServiceRegistry&` (e.g.
> `NetworkOPsImp`) call `registry_.get().getTelemetry()`. Components that
> still hold an `Application&` (e.g. `ServerHandler`, `PeerImp`,
> `RCLConsensusAdaptor`) call `app_.getTelemetry()` directly.
---
## 5.4 CMake Integration
> **OTLP** = OpenTelemetry Protocol
### 5.4.1 Find OpenTelemetry Module
A `cmake/FindOpenTelemetry.cmake` module locates the OpenTelemetry C++ SDK. It first tries `find_package(opentelemetry-cpp CONFIG)`, aliasing the imported targets `OpenTelemetry::api`, `OpenTelemetry::sdk`, and `OpenTelemetry::otlp_grpc_exporter`, and falls back to `pkg-config` when no CMake config package is present.
### 5.4.2 CMakeLists.txt Changes
The top-level `CMakeLists.txt` adds an `XRPL_ENABLE_TELEMETRY` option (default `OFF`). When enabled, it runs `find_package(OpenTelemetry REQUIRED)`, defines the `XRPL_ENABLE_TELEMETRY` compile flag, and builds the `xrpl_telemetry` library from the real telemetry sources linked against the OpenTelemetry targets; when disabled, it builds the same target from a no-op `NullTelemetry.cpp` so call sites compile unchanged.
---
## 5.5 OpenTelemetry Collector Configuration
> **OTLP** = OpenTelemetry Protocol | **APM** = Application Performance Monitoring
The authoritative collector config lives in the repo at `docker/telemetry/otel-collector-config.yaml` (with Tempo backend config in `docker/telemetry/tempo.yaml`). The sections below summarize the development and production shapes of that pipeline.
### 5.5.1 Development Configuration
The development collector enables an OTLP receiver on both gRPC (`0.0.0.0:4317`) and HTTP (`0.0.0.0:4318`), a single `batch` processor (1s timeout, batch size 100), and two exporters: a `logging` exporter for console debugging and `otlp/tempo` (insecure) for trace visualization. The single `traces` pipeline wires receiver → batch → both exporters.
### 5.5.2 Production Configuration
The production collector adds TLS on the OTLP gRPC receiver and a richer processor chain: a `memory_limiter` (OOM guard), `batch` (5s timeout, size 512), `tail_sampling`, and an `attributes` processor that hashes sensitive fields (e.g. `tx_account`) and stamps `deployment.environment`. Tail sampling keeps all `ERROR` traces, slow consensus rounds (>5s) and slow RPC requests (>1s), and probabilistically samples the remainder at 10%. Exporters target Grafana Tempo (TLS) and Elastic APM; `health_check` and `zpages` extensions are enabled for operability.
---
## 5.6 Docker Compose Development Environment
> **OTLP** = OpenTelemetry Protocol
The authoritative development stack lives in the repo at `docker/telemetry/docker-compose.yml`. It brings up four services on a shared `xrpld-telemetry` network: an `otel-collector` (otel/opentelemetry-collector-contrib) exposing OTLP gRPC `4317`, OTLP HTTP `4318`, and health check `13133`; `tempo` for trace storage/visualization; `grafana` with provisioned datasources and dashboards (anonymous admin enabled); and an optional `prometheus` for metric correlation.
---
## 5.7 Configuration Architecture
> **OTLP** = OpenTelemetry Protocol
```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
```
**Reading the diagram:**
- **Configuration Sources**: `xrpld.cfg` provides runtime settings (endpoint, sampling) while the CMake flag controls whether telemetry is compiled in at all.
- **Initialization**: `setup_Telemetry()` parses config values, then `make_Telemetry()` constructs the provider, processor, and exporter objects.
- **Runtime Components**: The `TracerProvider` creates spans, the `BatchProcessor` buffers them, and the `OTLP Exporter` serializes and sends them over the wire.
- **OTLP arrow to Collector**: Trace data leaves the xrpld process via OTLP (gRPC or HTTP) and enters the external Collector pipeline.
- **Collector Pipeline**: `Receivers` ingest OTLP data, `Processors` apply sampling/filtering/enrichment, and `Exporters` forward traces to storage backends (Tempo, etc.).
---
## 5.8 Grafana Integration
> **APM** = Application Performance Monitoring
Step-by-step instructions for integrating xrpld traces with Grafana.
### 5.8.1 Data Source Configuration
#### Tempo (Recommended)
A Tempo datasource (`grafana/provisioning/datasources/tempo.yaml`, provisioned from `docker/telemetry/grafana/`) points at `http://tempo:3200` and enables `tracesToLogs` (linking to Loki on `service.name`/`tx_hash` and mapping `trace_id``traceID`), `serviceMap` against Prometheus, the node graph, and Loki search.
#### Elastic APM
Alternatively, an Elasticsearch datasource (`grafana/provisioning/datasources/elastic-apm.yaml`) of type `elasticsearch` points at `http://elasticsearch:9200` against the `apm-*` index, using `@timestamp` as the time field and mapping the log message/level fields.
### 5.8.2 Dashboard Provisioning
A dashboard provider (`grafana/provisioning/dashboards/dashboards.yaml`) loads the `xrpld` dashboard folder from disk (`/var/lib/grafana/dashboards/rippled`), polling for changes every 30s with deletion disabled.
### 5.8.3 Example Dashboard: RPC Performance
An example `xrpld RPC Performance` dashboard (uid `xrpld-rpc-performance`) sourced from Tempo via TraceQL provides four panels: RPC latency by command (heatmap), RPC error rate by command (timeseries), the top 10 slowest RPC commands by average duration (table), and a recent-traces table.
### 5.8.4 Example Dashboard: Transaction Tracing
An example `xrpld Transaction Tracing` dashboard (uid `xrpld-tx-tracing`) over Tempo provides three panels: transaction throughput (`tx.receive` rate, stat), cross-node relay count (average `span.relay_count` on `tx.relay`, timeseries), and a table of transaction validation errors (`tx.validate` with `status.code=error`).
### 5.8.5 TraceQL Query Examples
Common queries for xrpld traces:
```
# Find all traces for a specific transaction hash
{resource.service.name="xrpld" && span.tx_hash="ABC123..."}
# Find slow RPC commands (>100ms)
{resource.service.name="xrpld" && name=~"rpc.command.*"} | duration > 100ms
# Find consensus rounds taking >5 seconds
{resource.service.name="xrpld" && name="consensus.round"} | duration > 5s
# Find failed transactions with error details
{resource.service.name="xrpld" && name="tx.validate" && status.code=error}
# Find transactions relayed to many peers
{resource.service.name="xrpld" && name="tx.relay"} | span.relay_count > 10
# Compare latency across nodes
{resource.service.name="xrpld" && 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**
Configure a Promtail scrape job (`promtail-config.yaml`) that tails `/var/log/rippled/perf*.log`, parses each JSON line, and promotes `trace_id`, `ledger_seq`, and `tx_hash` to Loki labels.
**Step 2: Add trace_id to PerfLog entries**
Modify PerfLog so its JSON output includes a `trace_id` field whenever a valid span is active: fetch the current span from the OpenTelemetry runtime context, and if its context is valid, render the trace ID as a 32-character lowercase hex string into the log entry.
**Step 3: Configure Grafana trace-to-logs link**
In the Tempo datasource, set the `tracesToLogs` derived field to link to Loki on the `trace_id` and `tx_hash` tags, with `filterByTraceID: true`.
### 5.8.7 Correlation with Insight/StatsD Metrics
To correlate traces with existing Beast Insight metrics:
**Step 1: Export Insight metrics to Prometheus**
Add a Prometheus scrape job (`prometheus.yaml`) named `xrpld-statsd` targeting the StatsD exporter at `statsd-exporter:9102`.
**Step 2: Add exemplars to metrics**
The OpenTelemetry SDK automatically adds exemplars (trace IDs) to metrics when using the Prometheus exporter, linking metric spikes to specific traces.
**Step 3: Configure Grafana metric-to-trace link**
In the Prometheus datasource, set `exemplarTraceIdDestinations` to map the `trace_id` exemplar to the Tempo datasource.
**Step 4: Dashboard panel with exemplars**
Add a timeseries panel over Prometheus (e.g. `histogram_quantile(0.99, rate(xrpld_rpc_duration_seconds_bucket[5m]))`) with `exemplar: true` enabled.
This allows clicking on metric data points to jump directly to the related trace.
---
_Previous: [Implementation Strategy](./03-implementation-strategy.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
> **TxQ** = Transaction Queue
```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
Buffer & Integration :p1e, after p1d, 2d
section Phase 2
RPC Tracing :p2, after p1, 2w
HTTP Context Extraction :p2a, after p1, 2d
RPC Handler Instrumentation :p2b, after p2a, 4d
PathFinding Instrumentation :p2f, after p2b, 2d
TxQ Instrumentation :p2g, after p2f, 2d
WebSocket Support :p2c, after p2g, 2d
Integration Tests :p2d, after p2c, 2d
Buffer & Review :p2e, after p2d, 4d
section Phase 3
Transaction Tracing :p3, after p2, 2w
Protocol Buffer Extension :p3a, after p2, 2d
PeerImp Instrumentation :p3b, after p3a, 3d
Fee Escalation Instrumentation :p3f, after p3b, 2d
Relay Context Propagation :p3c, after p3f, 3d
Multi-node Tests :p3d, after p3c, 2d
Buffer & Review :p3e, after p3d, 4d
section Phase 4
Consensus Tracing :p4, after p3, 2w
Consensus Round Spans :p4a, after p3, 3d
Proposal Handling :p4b, after p4a, 3d
Validator List & Manifest Tracing :p4f, after p4b, 2d
Amendment Voting Tracing :p4g, after p4f, 2d
SHAMap Sync Tracing :p4h, after p4g, 2d
Validation Tests :p4c, after p4h, 4d
Buffer & Review :p4e, after p4c, 4d
section Phase 5
Documentation & Deploy :p5, after p4, 1w
```
---
## 6.2 Phase 1: Core Infrastructure (Weeks 1-2)
**Objective**: Establish foundational telemetry infrastructure
### Tasks
| Task | Description |
| ---- | ----------------------------------------------------- |
| 1.1 | Add OpenTelemetry C++ SDK to Conan/CMake |
| 1.2 | Implement `Telemetry` interface and factory |
| 1.3 | Implement `SpanGuard` RAII wrapper |
| 1.4 | Implement configuration parser |
| 1.5 | Integrate into `ApplicationImp` |
| 1.6 | Add conditional compilation (`XRPL_ENABLE_TELEMETRY`) |
| 1.7 | Create `NullTelemetry` no-op implementation |
| 1.8 | Unit tests for core infrastructure |
### 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)
> **TxQ** = Transaction Queue
**Objective**: Complete tracing for all RPC operations
### Tasks
| Task | Description |
| ---- | -------------------------------------------------------------------------- |
| 2.1 | Implement W3C Trace Context HTTP header extraction |
| 2.2 | Instrument `ServerHandler::onRequest()` |
| 2.3 | Instrument `RPCHandler::doCommand()` |
| 2.4 | Add RPC-specific attributes |
| 2.5 | Instrument WebSocket handler |
| 2.6 | PathFinding instrumentation (`pathfind.request`, `pathfind.compute` spans) |
| 2.7 | TxQ instrumentation (`txq.enqueue`, `txq.apply` spans) |
| 2.8 | Integration tests for RPC tracing |
| 2.9 | Performance benchmarks |
| 2.10 | Documentation |
### 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 |
| ---- | ---------------------------------------------------- |
| 3.1 | Define `TraceContext` Protocol Buffer message |
| 3.2 | Implement protobuf context serialization |
| 3.3 | Instrument `PeerImp::handleTransaction()` |
| 3.4 | Instrument `NetworkOPs::submitTransaction()` |
| 3.5 | Instrument HashRouter integration |
| 3.6 | Fee escalation instrumentation (`fee.escalate` span) |
| 3.7 | Implement relay context propagation |
| 3.8 | Integration tests (multi-node) |
| 3.9 | Performance benchmarks |
### 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 |
| ---- | ---------------------------------------------- |
| 4.1 | Instrument `RCLConsensusAdaptor::startRound()` |
| 4.2 | Instrument phase transitions |
| 4.3 | Instrument proposal handling |
| 4.4 | Instrument validation handling |
| 4.5 | Add consensus-specific attributes |
| 4.6 | Correlate with transaction traces |
| 4.7 | Validator list and manifest tracing |
| 4.8 | Amendment voting tracing |
| 4.9 | SHAMap sync tracing |
| 4.10 | Multi-validator integration tests |
| 4.11 | Performance validation |
### Exit Criteria
- [ ] Complete consensus round traces
- [ ] Phase transitions visible
- [ ] Proposals and validations traced
- [ ] No impact on consensus timing
- [ ] Multi-validator test network validated
### Implementation Status — Phase 4a Plan
Phase 4a (establish-phase gap fill & cross-node correlation) will add:
- **Deterministic trace ID** derived from `previousLedger.id()` so all validators
in the same round share the same `trace_id` (switchable via
`consensus_trace_strategy` config: `"deterministic"` or `"attribute"`).
See [Configuration Reference](./05-configuration-reference.md) for full
configuration options.
- **Round lifecycle spans**: `consensus.round` with round-to-round span links.
- **Establish phase**: `consensus.establish`, `consensus.update_positions` (with
`dispute.resolve` events), `consensus.check` (with threshold tracking).
- **Mode changes**: `consensus.mode_change` spans.
- **Validation**: `consensus.validation.send` with span link to round span
(thread-safe cross-thread access via `roundSpanContext_` snapshot).
- **Separation of concerns**: telemetry extracted to private helpers
(`startRoundTracing`, `createValidationSpan`, `startEstablishTracing`,
`updateEstablishTracing`, `endEstablishTracing`).
The `Phase4_taskList.md` spec document is introduced in the Phase 2 PR (#6424)
and will contain the full task breakdown and implementation notes.
---
## 6.6 Phase 5: Documentation & Deployment (Week 9)
**Objective**: Production readiness
### Tasks
| Task | Description |
| ---- | ----------------------------- |
| 5.1 | Operator runbook |
| 5.2 | Grafana dashboards |
| 5.3 | Alert definitions |
| 5.4 | Collector deployment examples |
| 5.5 | Developer documentation |
| 5.6 | Training materials |
| 5.7 | Final integration testing |
---
## 6.7 Risk Assessment
```mermaid
quadrantChart
title Risk Assessment Matrix
x-axis Low Impact --> High Impact
y-axis Low Likelihood --> High Likelihood
quadrant-1 Mitigate Immediately
quadrant-2 Plan Mitigation
quadrant-3 Accept Risk
quadrant-4 Monitor Closely
SDK Compat: [0.2, 0.18]
Protocol Chg: [0.75, 0.72]
Perf Overhead: [0.58, 0.42]
Context Prop: [0.4, 0.55]
Memory Leaks: [0.85, 0.25]
```
### 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 |
---
## 6.8 Success Metrics
| Metric | Target | Measurement |
| ------------------------ | -------------------------------------------------------------- | --------------------- |
| Trace coverage | >95% of transaction code paths (independent of sampling ratio) | Sampling verification |
| CPU overhead | <3% | Benchmark tests |
| Memory overhead | <10 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 |
---
## 6.9 Quick Wins and Crawl-Walk-Run Strategy
> **TxQ** = Transaction Queue
This section outlines a prioritized approach to maximize ROI with minimal initial investment.
### 6.9.1 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[PathFinding + TxQ Tracing] ~~~ c4[Single Node]
end
subgraph walk["🚶 WALK (Week 3-5)"]
direction LR
w1[Transaction Tracing] ~~~ w2[Fee Escalation Tracing] ~~~ w3[Cross-Node Context] ~~~ w4[Basic Dashboards]
end
subgraph run["🏃 RUN (Week 6-9)"]
direction LR
r1[Consensus Tracing] ~~~ r2[Validator, Amendment,<br/>SHAMap Tracing] ~~~ r3[Full Correlation] ~~~ r4[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 c4 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 w4 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
style r4 fill:#0d47a1,stroke:#082f6a,color:#fff
```
</div>
**Reading the diagram:**
- **CRAWL (Weeks 1-2)**: Minimal investment -- set up the SDK, instrument RPC and PathFinding/TxQ handlers, and verify on a single node. Delivers immediate latency visibility.
- **WALK (Weeks 3-5)**: Expand to transaction lifecycle tracing, fee escalation, cross-node context propagation, and basic Grafana dashboards. This is where distributed tracing starts working.
- **RUN (Weeks 6-9)**: Full consensus instrumentation, validator/amendment/SHAMap tracing, end-to-end correlation, and production deployment with sampling and alerting.
- **Arrows (crawl → walk → run)**: Each phase builds on the prior one; you cannot skip ahead because later phases depend on infrastructure established earlier.
### 6.9.2 Quick Wins (Immediate Value)
| Quick Win | Value | When to Deploy |
| ------------------------------ | ------ | -------------- |
| **RPC Command Tracing** | High | Week 2 |
| **RPC Latency Histograms** | High | Week 2 |
| **Error Rate Dashboard** | Medium | Week 2 |
| **Transaction Submit Tracing** | High | Week 3 |
| **Consensus Round Duration** | Medium | Week 6 |
### 6.9.3 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
- PathFinding and TxQ tracing (directly impacts RPC latency)
- 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
- PathFinding and TxQ are RPC-adjacent and directly affect latency
- Immediate value for debugging client issues
- No cross-node complexity
- Single file modification to existing code
### 6.9.4 WALK Phase (Weeks 3-5)
**Goal**: Add transaction lifecycle tracing across nodes.
**What You Get**:
- End-to-end transaction traces from submit to relay
- Fee escalation tracing within the transaction pipeline
- 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)
- Fee escalation is integral to the transaction processing pipeline
- Moderate complexity (requires context propagation)
- High value for debugging transaction issues
### 6.9.5 RUN Phase (Weeks 6-9)
**Goal**: Full observability including consensus.
**What You Get**:
- Complete consensus round visibility
- Phase transition timing
- Validator proposal tracking
- Validator list and manifest tracing
- Amendment voting tracing
- SHAMap sync tracing
- Full end-to-end traces (client → RPC → TX → consensus → ledger)
**Code Changes**: ~100 lines across 3 consensus files, plus validator/amendment/SHAMap modules
**Why Do This Last**:
- Highest complexity (consensus is critical path)
- Validator, amendment, and SHAMap components are lower priority
- Requires thorough testing
- Lower relative value (consensus issues are rarer)
### 6.9.6 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, 0.92]
TX Submit Trace: [0.3, 0.78]
TX Relay Trace: [0.5, 0.88]
Consensus Trace: [0.72, 0.72]
Peer Msg Trace: [0.85, 0.3]
Ledger Acquire: [0.55, 0.52]
```
---
## 6.10 Definition of Done
> **TxQ** = Transaction Queue | **HA** = High Availability
Clear, measurable criteria for each phase.
### 6.10.1 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 Tempo |
| 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.
### 6.10.2 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 Tempo for all commands, dashboard shows latency distribution.
### 6.10.3 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.
### 6.10.4 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.
### 6.10.5 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.
### 6.10.6 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 |
---
## 6.11 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 Tempo 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
```
**Reading the diagram:**
- **Week 1 (tasks 1-2)**: Foundation work -- integrate the OpenTelemetry SDK via Conan/CMake and build the `Telemetry` interface with `SpanGuard` and config parsing.
- **Week 2 (tasks 3-4)**: First observable output -- instrument `ServerHandler` for RPC tracing and stand up Tempo so developers can see traces immediately.
- **Weeks 3-5 (tasks 5-10)**: Transaction lifecycle -- add submit tracing, build the first Grafana dashboard, extend protobuf for cross-node context, instrument `PeerImp` relay, then validate with multi-node integration tests and performance benchmarks.
- **Weeks 6-8 (tasks 11-12)**: Consensus deep-dive -- instrument consensus rounds and phases, then run full integration testing across all instrumented paths.
- **Week 9 (tasks 13-14)**: Go-live -- deploy to production with sampling/alerting configured, and deliver documentation and operator training.
- **Arrow chain (t1 ... t14)**: Strict sequential dependency; each task's output is a prerequisite for the next.
---
_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
> **OTLP** = OpenTelemetry Protocol
| Backend | Pros | Cons | Use Case |
| ---------- | ----------------------------------- | ---------------------- | ------------------- |
| **Tempo** | Cost-effective, Grafana integration | Requires Grafana stack | Local dev, CI, Prod |
| **Zipkin** | Simple, lightweight | Basic features | Quick prototyping |
### Quick Start with Tempo
```bash
# Start Tempo with OTLP support
docker run -d --name tempo \
-p 3200:3200 \
-p 4317:4317 \
-p 4318:4318 \
grafana/tempo:2.6.1
```
---
## 7.2 Production Backends
> **APM** = Application Performance Monitoring
| Backend | Pros | Cons | Use Case |
| ----------------- | ----------------------------------------- | ---------------------- | --------------------------- |
| **Grafana Tempo** | Cost-effective, Grafana integration | Requires Grafana stack | 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
```
**Reading the diagram:**
- **Budget Constraints? (Yes)**: Leads to open-source options. If you already run Grafana or Elastic, pick the matching backend; otherwise default to Grafana Tempo.
- **Budget Constraints? (No) → Prefer SaaS?**: If you want a managed service, choose between Datadog (enterprise support) and Honeycomb (developer-focused). If not, fall back to open-source.
- **Terminal nodes (Tempo / Elastic / Honeycomb / Datadog)**: Each represents a concrete backend choice, all of which feed into the same final step.
- **Configure Collector**: Regardless of backend, you always finish by configuring the OTel Collector to export to your chosen destination.
---
## 7.3 Recommended Production Architecture
> **OTLP** = OpenTelemetry Protocol | **APM** = Application Performance Monitoring | **HA** = High Availability
```mermaid
flowchart TB
subgraph validators["Validator Nodes"]
v1[xrpld<br/>Validator 1]
v2[xrpld<br/>Validator 2]
end
subgraph stock["Stock Nodes"]
s1[xrpld<br/>Stock 1]
s2[xrpld<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
%% Note: simplified single-collector-per-DC topology shown for clarity
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
```
**Reading the diagram:**
- **Validator / Stock Nodes**: All xrpld nodes emit trace data via OTLP. Validators and stock nodes are grouped separately because they may reside in different network zones.
- **Collector Cluster (DC1, DC2)**: Regional collectors receive OTLP from nodes in their datacenter, apply processing (sampling, enrichment), and fan out to multiple backends.
- **Storage Backends**: Tempo and Elastic provide queryable trace storage; S3/GCS Archive provides long-term cold storage for compliance or post-incident analysis.
- **Grafana Dashboards**: The single visualization layer that queries both Tempo and Elastic, giving operators a unified view of all traces.
- **Data flow direction**: Nodes → Collectors → Storage → Grafana. Each arrow represents a network hop; minimizing collector-to-backend hops reduces latency.
> **Note**: Production deployments should use multiple collector instances behind a load balancer for high availability. The diagram shows a simplified single-collector topology for clarity.
---
## 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 xrpld 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[Node-level head sampling<br/>fixed at 100%<br/>not configurable]
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
```
**Reading the diagram:**
- **Head Sampling (Node)**: xrpld pins head sampling at 100% (sample everything) and does not expose a configurable ratio. This is intentional: a per-node ratio would let different nodes make divergent keep/drop decisions for the same distributed trace, producing broken/partial traces. xrpld uses a `ParentBased` sampler so spans inheriting a remote parent honor the upstream decision. Volume reduction is delegated to the collector's tail sampling.
- **Tail Sampling (Collector)**: The second filter -- the collector inspects completed traces and applies rules: keep all errors, keep anything slower than 5 seconds, and keep 10% of the remainder.
- **Arrow head → tail**: All head-sampled traces flow to the collector, where tail sampling further reduces volume while preserving the most valuable data.
- **Final Traces**: The output after both sampling stages; this is what gets stored and queried. The two-stage approach balances cost with debuggability.
### 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 xrpld observability.
### 7.6.1 Consensus Health Dashboard
A Tempo-backed dashboard (uid `xrpld-consensus-health`) with four panels, all driven by TraceQL:
- **Consensus Round Duration** (timeseries, ms): average `consensus.round` span duration per node instance, with yellow/red thresholds at 4s/5s.
- **Phase Duration Breakdown** (barchart): average duration of `consensus.phase.*` spans grouped by span name.
- **Proposers per Round** (stat): average of the `span.proposers` attribute on `consensus.round` spans.
- **Recent Slow Rounds (>5s)** (table): `consensus.round` spans filtered to `duration > 5s`.
The underlying TraceQL queries are listed in section 7.7.3 and used throughout this doc.
### 7.6.2 Node Overview Dashboard
A Tempo-backed dashboard (uid `xrpld-node-overview`) with four panels:
- **Active Nodes** (stat): count of distinct `resource.service.instance.id` values seen for the `xrpld` service.
- **Total Transactions (1h)** (stat): count of `tx.receive` spans.
- **Error Rate** (gauge, percent): ratio of `status.code=error` spans to all spans, with yellow/red thresholds at 1%/5%.
- **Service Map** (nodeGraph): Tempo-generated service dependency graph.
### 7.6.3 Alert Rules
Grafana provisions three TraceQL-based alert rules (group `xrpld-tracing-alerts`, evaluated every 1m) against the Tempo datasource:
- **Consensus Round Slow** (warning, `for: 5m`): fires when average `consensus.round` duration exceeds 5s.
```
{resource.service.name="xrpld" && name="consensus.round"} | avg(duration) > 5s
```
- **RPC Error Rate Spike** (critical, `for: 2m`): fires when the error rate across `rpc.command.*` spans exceeds 5%. Error _rate_ is a ratio, so it must divide the error-span rate by the total-span rate — a single TraceQL `rate()` returns spans/second, not a percentage, and would fire on traffic volume alone. This uses span metrics emitted by the collector's `spanmetrics` connector (Prometheus datasource), not a TraceQL query:
```
sum(rate(calls_total{service_name="xrpld", span_name=~"rpc.command.*", status_code="STATUS_CODE_ERROR"}[5m]))
/
sum(rate(calls_total{service_name="xrpld", span_name=~"rpc.command.*"}[5m]))
> 0.05
```
- **Transaction Throughput Drop** (warning, `for: 10m`): fires when the `tx.receive` span rate falls below 10/s.
```
{resource.service.name="xrpld" && name="tx.receive"} | rate() < 10
```
> **Note**: The Consensus Round Slow and Transaction Throughput Drop rules use TraceQL aggregates (`avg(duration)`, `rate()`), which require Tempo 2.3+ with TraceQL metrics enabled. Verify aggregate query support in your Tempo version before provisioning. The RPC Error Rate Spike rule instead queries Prometheus span metrics (collector `spanmetrics` connector), so it needs that connector enabled in the collector pipeline.
---
## 7.7 PerfLog and Insight Correlation
> **OTLP** = OpenTelemetry Protocol
How to correlate OpenTelemetry traces with existing xrpld observability.
### 7.7.1 Correlation Architecture
```mermaid
flowchart TB
subgraph xrpld["xrpld 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 xrpld 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
```
**Reading the diagram:**
- **xrpld Node (three sources)**: A single node emits three independent data streams -- OpenTelemetry spans, PerfLog JSON logs, and Beast Insight StatsD metrics.
- **Data Collection layer**: Each stream has its own collector -- OTel Collector for spans, Promtail/Fluentd for logs, and a StatsD exporter for metrics. They operate independently.
- **Storage layer (Tempo, Loki, Prometheus)**: Each data type lands in a purpose-built store optimized for its query patterns (trace search, log grep, metric aggregation).
- **Grafana Correlation Panel**: The key integration point -- Grafana queries all three stores and links them via shared fields (`trace_id`, `tx_hash`, `ledger_seq`), enabling a single-pane debugging experience.
### 7.7.2 Correlation Fields
| Source | Field | Link To | Purpose |
| ----------- | ------------------- | ------------- | -------------------------- |
| **Trace** | `trace_id` | Logs | Find log entries for trace |
| **Trace** | `tx_hash` | Logs, Metrics | Find TX-related data |
| **Trace** | `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="xrpld" && span.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="xrpld"} |= "4bf92f3577b34da6a3ce929d0e0e4736"
```
**Step 4: Check Insight metrics for the time window**
```
# In Grafana with Prometheus
rate(xrpld_tx_applied_total[1m])
@ timestamp_from_trace
```
### 7.7.4 Unified Dashboard Example
A single dashboard (uid `xrpld-unified`) that ties traces, metrics, and logs together across the Tempo, Prometheus, and Loki datasources:
- **Transaction Latency (Traces)** (timeseries, Tempo): `histogram_over_time(duration)` of `tx.receive` spans.
- **Transaction Rate (Metrics)** (timeseries, Prometheus): `rate(xrpld_tx_received_total[5m])` per instance, with a data link that opens the matching `tx.receive` traces in Tempo.
- **Recent Logs** (logs, Loki): `{job="xrpld"} | json`.
- **Trace Search** (table, Tempo): all `xrpld` traces, with per-row data links on `traceID` that jump to the trace in Tempo and to the correlated logs in Loki (`{job="xrpld"} |= "<traceID>"`).
The cross-datasource data links are what make this a single-pane debugging view; the correlation fields they rely on are listed in section 7.7.2.
---
_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
> **OTLP** = OpenTelemetry Protocol | **TxQ** = Transaction Queue
| 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 |
### xrpld-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 xrpld |
| **Beast Insight** | Existing metrics framework in xrpld |
| **PathFinding** | Payment path computation engine for cross-currency payments |
| **TxQ** | Transaction queue managing fee-based prioritization |
| **LoadManager** | Dynamic fee escalation based on network load |
| **SHAMap** | SHA-256 hash-based map (Merkle trie variant) for ledger state |
---
## 8.2 Span Hierarchy Visualization
> **TxQ** = Transaction Queue
```mermaid
flowchart TB
subgraph trace["Trace: Transaction Lifecycle"]
rpc["rpc.request<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
subgraph pathfinding["PathFinding Spans"]
pathfind["pathfind.request"]
pathcomp["pathfind.compute"]
end
consensus["consensus.round"]
apply["tx.apply"]
subgraph txqueue["TxQ Spans"]
txq["txq.enqueue"]
txqApply["txq.apply"]
end
feeCalc["fee.escalate"]
end
subgraph validators["Validator Spans"]
valFetch["validator.list.fetch"]
valManifest["validator.manifest"]
end
rpc --> validate
rpc --> pathfind
pathfind --> pathcomp
validate --> relay
relay --> p1
relay --> p2
relay --> p3
p1 -.->|"context propagation"| consensus
consensus --> apply
apply --> txq
txq --> txqApply
txq --> feeCalc
style trace fill:#0f172a,stroke:#020617,color:#fff
style peers fill:#1e3a8a,stroke:#172554,color:#fff
style pathfinding fill:#134e4a,stroke:#0f766e,color:#fff
style txqueue fill:#064e3b,stroke:#047857,color:#fff
style validators fill:#4c1d95,stroke:#6d28d9,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
style pathfind fill:#0e7490,stroke:#155e75,color:#fff
style pathcomp fill:#0e7490,stroke:#155e75,color:#fff
style txq fill:#047857,stroke:#064e3b,color:#fff
style txqApply fill:#047857,stroke:#064e3b,color:#fff
style feeCalc fill:#047857,stroke:#064e3b,color:#fff
style valFetch fill:#6d28d9,stroke:#4c1d95,color:#fff
style valManifest fill:#6d28d9,stroke:#4c1d95,color:#fff
```
**Reading the diagram:**
- **rpc.request (blue, top)**: The entry point — every traced transaction starts as an RPC call; this root span is the parent of all downstream work.
- **tx.validate and pathfind.request (green/teal, first fork)**: The RPC request fans out into transaction validation and, for cross-currency payments, a PathFinding branch (`pathfind.request` -> `pathfind.compute`).
- **tx.relay -> Peer Spans (teal, middle)**: After validation, the transaction is relayed to peers A, B, and C in parallel; each `peer.send` is a sibling child span showing fan-out across the network.
- **context propagation (dashed arrow)**: The dotted line from `peer.send Peer A` to `consensus.round` represents the trace context crossing a node boundary — the receiving validator picks up the same `trace_id` and continues the trace.
- **consensus.round -> tx.apply -> TxQ Spans (green, lower)**: Once consensus accepts the transaction, it is applied to the ledger; the TxQ spans (`txq.enqueue`, `txq.apply`, `fee.escalate`) capture queue depth and fee escalation behavior.
- **Validator Spans (purple, detached)**: `validator.list.fetch` and `validator.manifest` are independent workflows for UNL management — they run on their own traces and are linked to consensus via Span Links, not parent-child relationships.
---
## 8.3 References
> **OTLP** = OpenTelemetry Protocol
### 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/)
### xrpld Resources
8. [xrpld Source Code](https://github.com/XRPLF/rippled)
9. [XRP Ledger Documentation](https://xrpl.org/docs/)
10. [xrpld Overlay README](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/overlay/README.md)
11. [xrpld RPC README](https://github.com/XRPLF/rippled/blob/develop/src/xrpld/rpc/README.md)
12. [xrpld 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 |
| 1.2 | 2026-03-24 | - | Review fixes: accuracy corrections, cross-document consistency |
---
## 8.5 Document Index
### Plan Documents
| Document | Description |
| ---------------------------------------------------------------- | -------------------------------------------- |
| [OpenTelemetryPlan.md](./OpenTelemetryPlan.md) | Master overview and executive summary |
| [00-tracing-fundamentals.md](./00-tracing-fundamentals.md) | Distributed tracing concepts and OTel primer |
| [01-architecture-analysis.md](./01-architecture-analysis.md) | xrpld 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 |
| [05-configuration-reference.md](./05-configuration-reference.md) | xrpld 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 |
### Task Lists
| Document | Description |
| ------------------------------------ | --------------------------------------------------- |
| [presentation.md](./presentation.md) | Presentation slides for OpenTelemetry plan overview |
---
_Previous: [Observability Backends](./07-observability-backends.md)_ | _Back to: [Overview](./OpenTelemetryPlan.md)_

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@@ -0,0 +1,199 @@
# [OpenTelemetry](00-tracing-fundamentals.md) Distributed Tracing Implementation Plan for xrpld (xrpld)
## Executive Summary
> **OTLP** = OpenTelemetry Protocol
This document provides a comprehensive implementation plan for integrating OpenTelemetry distributed tracing into the xrpld 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 | <10 MB | SDK statics + batch buffer + worker thread stack |
| 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 fundamentals["Fundamentals"]
fund["00-tracing-fundamentals.md"]
end
subgraph analysis["Analysis & Design"]
arch["01-architecture-analysis.md"]
design["02-design-decisions.md"]
end
subgraph impl["Implementation"]
strategy["03-implementation-strategy.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"]
end
overview --> fundamentals
overview --> analysis
overview --> impl
overview --> deploy
fund --> arch
arch --> design
design --> strategy
strategy --> config
config --> phases
phases --> backends
backends --> appendix
style overview fill:#1b5e20,stroke:#0d3d14,color:#fff,stroke-width:2px
style fundamentals fill:#00695c,stroke:#004d40,color:#fff
style fund fill:#00695c,stroke:#004d40,color:#fff
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 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
```
</div>
---
## Table of Contents
| Section | Document | Description |
| ------- | ---------------------------------------------------------- | ---------------------------------------------------------------------- |
| **0** | [Tracing Fundamentals](./00-tracing-fundamentals.md) | Distributed tracing concepts, span relationships, context propagation |
| **1** | [Architecture Analysis](./01-architecture-analysis.md) | xrpld 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 |
| **5** | [Configuration Reference](./05-configuration-reference.md) | xrpld 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 |
---
## 0. Tracing Fundamentals
This document introduces distributed tracing concepts for readers unfamiliar with the domain. It covers what traces and spans are, how parent-child and follows-from relationships model causality, how context propagates across service boundaries, and how sampling controls data volume. It also maps these concepts to xrpld-specific scenarios like transaction relay and consensus.
➡️ **[Read Tracing Fundamentals](./00-tracing-fundamentals.md)**
---
## 1. Architecture Analysis
> **WS** = WebSocket | **TxQ** = Transaction Queue
The xrpld 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, PathFinding, Transaction Queue (TxQ), fee escalation (LoadManager), ledger acquisition, validator management, 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, ledger building, path computation, transaction queue behavior, fee escalation, and validator health. 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
> **OTLP** = OpenTelemetry Protocol | **CNCF** = Cloud Native Computing Foundation
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 over telemetry configuration.
➡️ **[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 head sampling fixed at 100% (intentionally not configurable, so trace keep/drop decisions stay coherent across nodes), tail-based sampling at the collector for errors and slow traces to reduce volume, batch export to reduce network overhead, and conditional instrumentation that compiles to no-ops when disabled.
➡️ **[Read full Implementation Strategy](./03-implementation-strategy.md)**
---
## 5. Configuration Reference
> **OTLP** = OpenTelemetry Protocol | **APM** = Application Performance Monitoring
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 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 9 weeks across 5 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 |
**Total Effort**: 47 person-days (2 developers working in parallel)
➡️ **[View full Implementation Phases](./06-implementation-phases.md)**
---
## 7. Observability Backends
> **APM** = Application Performance Monitoring | **GCS** = Google Cloud Storage
Grafana Tempo is recommended for all environments due to 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 xrpld-specific terms, references to external documentation and specifications, version history for this implementation plan, and a complete document index.
➡️ **[View Appendix](./08-appendix.md)**
---
_This document provides a comprehensive implementation plan for integrating OpenTelemetry distributed tracing into the xrpld XRP Ledger node software. For detailed information on any section, follow the links to the corresponding sub-documents._

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@@ -0,0 +1,682 @@
# OpenTelemetry Distributed Tracing for xrpld
---
## Slide 1: Introduction
> **CNCF** = Cloud Native Computing Foundation
### What is OpenTelemetry?
OpenTelemetry is an open-source, CNCF-backed observability framework for distributed tracing, metrics, and logs.
### Why OpenTelemetry for xrpld?
- **End-to-End Transaction Visibility**: Track transactions from submission → consensus → ledger inclusion
- **Cross-Node Correlation**: Follow requests across multiple independent nodes using a unique `trace_id`
- **Consensus Round Analysis**: Understand timing and behavior across validators
- **Incident Debugging**: Correlate events across distributed nodes during issues
```mermaid
flowchart LR
A["Node A<br/>tx.receive<br/>trace_id: abc123"] --> B["Node B<br/>tx.relay<br/>trace_id: abc123"] --> C["Node C<br/>tx.validate<br/>trace_id: abc123"] --> D["Node D<br/>ledger.apply<br/>trace_id: abc123"]
style A fill:#1565c0,stroke:#0d47a1,color:#fff
style B fill:#2e7d32,stroke:#1b5e20,color:#fff
style C fill:#2e7d32,stroke:#1b5e20,color:#fff
style D fill:#e65100,stroke:#bf360c,color:#fff
```
**Reading the diagram:**
- **Node A (blue, leftmost)**: The originating node that first receives the transaction and assigns a new `trace_id: abc123`; this ID becomes the correlation key for the entire distributed trace.
- **Node B and Node C (green, middle)**: Relay and validation nodes — each creates its own span but carries the same `trace_id`, so their work is linked to the original submission without any central coordinator.
- **Node D (orange, rightmost)**: The final node that applies the transaction to the ledger; the trace now spans the full lifecycle from submission to ledger inclusion.
- **Left-to-right flow**: The horizontal progression shows the real-world message path — a transaction hops from node to node, and the shared `trace_id` stitches all hops into a single queryable trace.
> **Trace ID: abc123** — All nodes share the same trace, enabling cross-node correlation.
---
## Slide 2: OpenTelemetry vs Open Source Alternatives
> **CNCF** = Cloud Native Computing Foundation
| Feature | OpenTelemetry | Jaeger | Zipkin | SkyWalking | Pinpoint | Prometheus |
| ------------------- | ---------------- | ---------------- | ------------------ | ---------- | ---------- | ---------- |
| **Tracing** | YES | YES | YES | YES | YES | NO |
| **Metrics** | YES | NO | NO | YES | YES | YES |
| **Logs** | YES | NO | NO | YES | NO | NO |
| **C++ SDK** | YES Official | YES (Deprecated) | YES (Unmaintained) | NO | NO | YES |
| **Vendor Neutral** | YES Primary goal | NO | NO | NO | NO | NO |
| **Instrumentation** | Manual + Auto | Manual | Manual | Auto-first | Auto-first | Manual |
| **Backend** | Any (exporters) | Self | Self | Self | Self | Self |
| **CNCF Status** | Incubating | Graduated | NO | Incubating | NO | Graduated |
> **Why OpenTelemetry?** It's the only actively maintained, full-featured C++ option with vendor neutrality — allowing export to Tempo, Prometheus, Grafana, or any commercial backend without changing instrumentation.
---
## Slide 3: Adoption Scope — Traces Only (Current Plan)
OpenTelemetry supports three signal types: **Traces**, **Metrics**, and **Logs**. xrpld already captures metrics (StatsD via Beast Insight) and logs (Journal/PerfLog). The question is: how much of OTel do we adopt?
> **Scenario A**: Add distributed tracing. Keep StatsD for metrics and Journal for logs.
```mermaid
flowchart LR
subgraph xrpld["xrpld Process"]
direction TB
OTel["OTel SDK<br/>(Traces)"]
Insight["Beast Insight<br/>(StatsD Metrics)"]
Journal["Journal + PerfLog<br/>(Logging)"]
end
OTel -->|"OTLP"| Collector["OTel Collector"]
Insight -->|"UDP"| StatsD["StatsD Server"]
Journal -->|"File I/O"| LogFile["perf.log / debug.log"]
Collector --> Tempo["Tempo"]
StatsD --> Graphite["Graphite / Grafana"]
LogFile --> Loki["Loki (optional)"]
style xrpld fill:#424242,stroke:#212121,color:#fff
style OTel fill:#2e7d32,stroke:#1b5e20,color:#fff
style Insight fill:#1565c0,stroke:#0d47a1,color:#fff
style Journal fill:#e65100,stroke:#bf360c,color:#fff
style Collector fill:#2e7d32,stroke:#1b5e20,color:#fff
```
| Aspect | Details |
| ------------------------------ | --------------------------------------------------------------------------------------------------------------- |
| **What changes for operators** | Deploy OTel Collector + trace backend. Existing StatsD and log pipelines stay as-is. |
| **Codebase impact** | New `Telemetry` module (~1500 LOC). Beast Insight and Journal untouched. |
| **New capabilities** | Cross-node trace correlation, span-based debugging, request lifecycle visibility. |
| **What we still can't do** | Correlate metrics with specific traces natively. StatsD metrics remain fire-and-forget with no trace exemplars. |
| **Maintenance burden** | Three separate observability systems to maintain (OTel + StatsD + Journal). |
| **Risk** | Lowest — additive change, no existing systems disturbed. |
---
## Slide 4: Future Adoption — Metrics & Logs via OTel
### Scenario B: + OTel Metrics (Replace StatsD)
> Migrate StatsD to OTel Metrics API, exposing Prometheus-compatible metrics. Remove Beast Insight.
```mermaid
flowchart LR
subgraph xrpld["xrpld Process"]
direction TB
OTel["OTel SDK<br/>(Traces + Metrics)"]
Journal["Journal + PerfLog<br/>(Logging)"]
end
OTel -->|"OTLP"| Collector["OTel Collector"]
Journal -->|"File I/O"| LogFile["perf.log / debug.log"]
Collector --> Tempo["Tempo<br/>(Traces)"]
Collector --> Prom["Prometheus<br/>(Metrics)"]
LogFile --> Loki["Loki (optional)"]
style xrpld fill:#424242,stroke:#212121,color:#fff
style OTel fill:#2e7d32,stroke:#1b5e20,color:#fff
style Journal fill:#e65100,stroke:#bf360c,color:#fff
style Collector fill:#2e7d32,stroke:#1b5e20,color:#fff
```
- **Better metrics?** Yes — Prometheus gives native histograms (p50/p95/p99), multi-dimensional labels, and exemplars linking metric spikes to traces.
- **Codebase**: Remove `Beast::Insight` + `StatsDCollector` (~2000 LOC). Single SDK for traces and metrics.
- **Operator effort**: Rewrite dashboards from StatsD/Graphite queries to PromQL. Run both in parallel during transition.
- **Risk**: Medium — operators must migrate monitoring infrastructure.
### Scenario C: + OTel Logs (Full Stack)
> Also replace Journal logging with OTel Logs API. Single SDK for everything.
```mermaid
flowchart LR
subgraph xrpld["xrpld Process"]
OTel["OTel SDK<br/>(Traces + Metrics + Logs)"]
end
OTel -->|"OTLP"| Collector["OTel Collector"]
Collector --> Tempo["Tempo<br/>(Traces)"]
Collector --> Prom["Prometheus<br/>(Metrics)"]
Collector --> Loki["Loki / Elastic<br/>(Logs)"]
style xrpld fill:#424242,stroke:#212121,color:#fff
style OTel fill:#2e7d32,stroke:#1b5e20,color:#fff
style Collector fill:#2e7d32,stroke:#1b5e20,color:#fff
```
- **Structured logging**: OTel Logs API outputs structured records with `trace_id`, `span_id`, severity, and attributes by design.
- **Full correlation**: Every log line carries `trace_id`. Click trace → see logs. Click metric spike → see trace → see logs.
- **Codebase**: Remove Beast Insight (~2000 LOC) + simplify Journal/PerfLog (~3000 LOC). One dependency instead of three.
- **Risk**: Highest — `beast::Journal` is deeply embedded in every component. Large refactor. OTel C++ Logs API is newer (stable since v1.11, less battle-tested).
### Recommendation
```mermaid
flowchart LR
A["Phase 1<br/><b>Traces Only</b><br/>(Current Plan)"] --> B["Phase 2<br/><b>+ Metrics</b><br/>(Replace StatsD)"] --> C["Phase 3<br/><b>+ Logs</b><br/>(Full OTel)"]
style A fill:#2e7d32,stroke:#1b5e20,color:#fff
style B fill:#1565c0,stroke:#0d47a1,color:#fff
style C fill:#e65100,stroke:#bf360c,color:#fff
```
| Phase | Signal | Strategy | Risk |
| -------------------- | --------- | -------------------------------------------------------------- | ------ |
| **Phase 1** (now) | Traces | Add OTel traces. Keep StatsD and Journal. Prove value. | Low |
| **Phase 2** (future) | + Metrics | Migrate StatsD → Prometheus via OTel. Remove Beast Insight. | Medium |
| **Phase 3** (future) | + Logs | Adopt OTel Logs API. Align with structured logging initiative. | High |
> **Key Takeaway**: Start with traces (unique value, lowest risk), then incrementally adopt metrics and logs as the OTel infrastructure proves itself.
---
## Slide 5: Comparison with xrpld's Existing Solutions
### Current Observability Stack
| Aspect | PerfLog (JSON) | StatsD (Metrics) | OpenTelemetry (NEW) |
| --------------------- | --------------------- | --------------------- | --------------------------- |
| **Type** | Logging | Metrics | Distributed Tracing |
| **Scope** | Single node | Single node | **Cross-node** |
| **Data** | JSON log entries | Counters, gauges | Spans with context |
| **Correlation** | By timestamp | By metric name | By `trace_id` |
| **Overhead** | Low (file I/O) | Low (UDP) | Low-Medium (configurable) |
| **Question Answered** | "What happened here?" | "How many? How fast?" | **"What was the journey?"** |
### Use Case Matrix
| Scenario | PerfLog | StatsD | OpenTelemetry |
| -------------------------------- | ------- | ------ | ------------- |
| "How many TXs per second?" | ❌ | ✅ | ❌ |
| "Why was this specific TX slow?" | ⚠️ | ❌ | ✅ |
| "Which node delayed consensus?" | ❌ | ❌ | ✅ |
| "Show TX journey across 5 nodes" | ❌ | ❌ | ✅ |
> **Key Insight**: In the **traces-only** approach (Phase 1), OpenTelemetry **complements** existing systems. In future phases, OTel metrics and logs could **replace** StatsD and Journal respectively — see Slides 3-4 for the full adoption roadmap.
---
## Slide 6: Architecture
> **OTLP** = OpenTelemetry Protocol | **WS** = WebSocket
### High-Level Integration Architecture
```mermaid
flowchart TB
subgraph xrpld["xrpld Node"]
subgraph services["Core Services"]
direction LR
RPC["RPC Server<br/>(HTTP/WS)"] ~~~ Overlay["Overlay<br/>(P2P Network)"] ~~~ Consensus["Consensus<br/>(RCLConsensus)"]
end
Telemetry["Telemetry Module<br/>(OpenTelemetry SDK)"]
services --> Telemetry
end
Telemetry -->|OTLP/HTTP| Collector["OTel Collector"]
Collector --> Tempo["Grafana Tempo"]
Collector --> Elastic["Elastic APM"]
style xrpld fill:#424242,stroke:#212121,color:#fff
style services fill:#1565c0,stroke:#0d47a1,color:#fff
style Telemetry fill:#2e7d32,stroke:#1b5e20,color:#fff
style Collector fill:#e65100,stroke:#bf360c,color:#fff
```
**Reading the diagram:**
- **Core Services (blue, top)**: RPC Server, Overlay, and Consensus are the three primary components that generate trace data — they represent the entry points for client requests, peer messages, and consensus rounds respectively.
- **Telemetry Module (green, middle)**: The OpenTelemetry SDK sits below the core services and receives span data from all three; it acts as a single collection point within the xrpld process.
- **OTel Collector (orange, center)**: An external process that receives spans over OTLP/HTTP from the Telemetry Module; it decouples xrpld from backend choices and handles batching, sampling, and routing.
- **Backends (bottom row)**: Tempo and Elastic APM are interchangeable — the Collector fans out to any combination, so operators can switch backends without modifying xrpld code.
- **Top-to-bottom flow**: Data flows from instrumented code down through the SDK, out over the network to the Collector, and finally into storage/visualization backends.
### Context Propagation
```mermaid
sequenceDiagram
participant Client
participant NodeA as Node A
participant NodeB as Node B
Client->>NodeA: Submit TX (no context)
Note over NodeA: Creates trace_id: abc123<br/>span: tx.receive
NodeA->>NodeB: Relay TX<br/>(traceparent: abc123)
Note over NodeB: Links to trace_id: abc123<br/>span: tx.relay
```
- **HTTP/RPC**: W3C Trace Context headers (`traceparent`)
- **P2P Messages**: Protocol Buffer extension fields
---
## Slide 7: Implementation Plan
### 5-Phase Rollout (9 Weeks)
> **Note**: Dates shown are relative to project start, not calendar dates.
```mermaid
gantt
title Implementation Timeline
dateFormat YYYY-MM-DD
axisFormat Week %W
section Phase 1
Core Infrastructure :p1, 2024-01-01, 2w
section Phase 2
RPC Tracing :p2, after p1, 2w
section Phase 3
Transaction Tracing :p3, after p2, 2w
section Phase 4
Consensus Tracing :p4, after p3, 2w
section Phase 5
Documentation :p5, after p4, 1w
```
### Phase Details
| Phase | Focus | Key Deliverables | Effort |
| ----- | ------------------- | -------------------------------------------- | ------- |
| 1 | Core Infrastructure | SDK integration, Telemetry interface, Config | 10 days |
| 2 | RPC Tracing | HTTP context extraction, Handler spans | 10 days |
| 3 | Transaction Tracing | Protobuf context, P2P relay propagation | 10 days |
| 4 | Consensus Tracing | Round spans, Proposal/validation tracing | 10 days |
| 5 | Documentation | Runbook, Dashboards, Training | 7 days |
**Total Effort**: ~47 developer-days (2 developers)
> **Future Phases** (not in current scope): After traces are stable, OTel metrics can replace StatsD (~3 weeks), and OTel logs can replace Journal (~4 weeks, aligned with structured logging initiative). See Slides 3-4 for the full adoption roadmap.
---
## Slide 8: Performance Overhead
> **OTLP** = OpenTelemetry Protocol
### Estimated System Impact
| Metric | Overhead | Notes |
| ----------------- | ---------- | ------------------------------------------------ |
| **CPU** | 1-3% | Span creation and attribute setting |
| **Memory** | ~10 MB | SDK statics + batch buffer + worker thread stack |
| **Network** | 10-50 KB/s | Compressed OTLP export to collector |
| **Latency (p99)** | <2% | With proper sampling configuration |
#### How We Arrived at These Numbers
**Assumptions (XRPL mainnet baseline)**:
| Parameter | Value | Source |
| ------------------------- | ---------------------- | --------------------------------------------------------------------------------------------------- |
| Transaction throughput | ~25 TPS (peaks to ~50) | Mainnet average |
| Default peers per node | 21 | `peerfinder/detail/Tuning.h` (`defaultMaxPeers`) |
| Consensus round frequency | ~1 round / 3-4 seconds | `ConsensusParms.h` (`ledgerMIN_CONSENSUS=1950ms`) |
| Proposers per round | ~20-35 | Mainnet UNL size |
| P2P message rate | ~160 msgs/sec | See message breakdown below |
| Avg TX processing time | ~200 μs | Profiled baseline |
| Single span creation cost | 500-1000 ns | OTel C++ SDK benchmarks (see [3.5.4](./03-implementation-strategy.md#354-performance-data-sources)) |
**P2P message breakdown** (per node, mainnet):
| Message Type | Rate | Derivation |
| ------------- | ------------ | --------------------------------------------------------------------- |
| TMTransaction | ~100/sec | ~25 TPS × ~4 relay hops per TX, deduplicated by HashRouter |
| TMValidation | ~50/sec | ~35 validators × ~1 validation/3s round ~12/sec, plus relay fan-out |
| TMProposeSet | ~10/sec | ~35 proposers / 3s round ~12/round, clustered in establish phase |
| **Total** | **~160/sec** | **Only traced message types counted** |
**CPU (1-3%) — Calculation**:
Per-transaction tracing cost breakdown:
| Operation | Cost | Notes |
| ----------------------------------------------- | ----------- | ------------------------------------------ |
| `tx.receive` span (create + end + 4 attributes) | ~1400 ns | ~1000ns create + ~200ns end + 4×50ns attrs |
| `tx.validate` span | ~1200 ns | ~1000ns create + ~200ns for 2 attributes |
| `tx.relay` span | ~1200 ns | ~1000ns create + ~200ns for 2 attributes |
| Context injection into P2P message | ~200 ns | Serialize trace_id + span_id into protobuf |
| **Total per TX** | **~4.0 μs** | |
> **CPU overhead**: 4.0 μs / 200 μs baseline = **~2.0% per transaction**. Under high load with consensus + RPC spans overlapping, reaches ~3%. Consensus itself adds only ~36 μs per 3-second round (~0.001%), so the TX path dominates. On production server hardware (3+ GHz Xeon), span creation drops to ~500-600 ns, bringing per-TX cost to ~2.6 μs (~1.3%). See [Section 3.5.4](./03-implementation-strategy.md#354-performance-data-sources) for benchmark sources.
**Memory (~10 MB) — Calculation**:
| Component | Size | Notes |
| --------------------------------------------- | ------------------ | ------------------------------------- |
| TracerProvider + Exporter (gRPC channel init) | ~320 KB | Allocated once at startup |
| BatchSpanProcessor (circular buffer) | ~16 KB | 2049 × 8-byte AtomicUniquePtr entries |
| BatchSpanProcessor (worker thread stack) | ~8 MB | Default Linux thread stack size |
| Active spans (in-flight, max ~1000) | ~500-800 KB | ~500-800 bytes/span × 1000 concurrent |
| Export queue (batch buffer, max 2048 spans) | ~1 MB | ~500 bytes/span × 2048 queue depth |
| Thread-local context storage (~100 threads) | ~6.4 KB | ~64 bytes/thread |
| **Total** | **~10 MB ceiling** | |
> Memory plateaus once the export queue fills — the `max_queue_size=2048` config bounds growth.
> The worker thread stack (~8 MB) dominates the static footprint but is virtual memory; actual RSS
> depends on stack usage (typically much less). Active spans are larger than originally estimated
> (~500-800 bytes) because the OTel SDK `Span` object includes a mutex (~40 bytes), `SpanData`
> recordable (~250 bytes base), and `std::map`-based attribute storage (~200-500 bytes for 3-5
> string attributes). See [Section 3.5.4](./03-implementation-strategy.md#354-performance-data-sources) for source references.
> **Measured (perf-iac, telemetry on vs off, 9 nodes under payment load)**: the ~10 MB
> above is a theoretical SDK-footprint ceiling, dominated by virtual (not resident) thread-stack
> memory. In practice, per-node RSS showed **no measurable increase over the telemetry-off
> baseline** (~15 GiB mean / ~1819 GiB peak on both sides), with no OOM, swap, or leak over the
> run. Treat memory overhead as negligible; the ceiling is a provisioning safety margin, not an
> expected increase.
**Network (10-50 KB/s) — Calculation**:
Two sources of network overhead:
**(A) OTLP span export to Collector:**
| Sampling Rate | Effective Spans/sec | Avg Span Size (compressed) | Bandwidth |
| -------------------------- | ------------------- | -------------------------- | ------------ |
| 100% (dev only) | ~500 | ~500 bytes | ~250 KB/s |
| **10% (recommended prod)** | **~50** | **~500 bytes** | **~25 KB/s** |
| 1% (minimal) | ~5 | ~500 bytes | ~2.5 KB/s |
> The ~500 spans/sec at 100% comes from: ~100 TX spans + ~160 P2P context spans + ~23 consensus spans/round + ~50 RPC spans = ~500/sec. OTLP protobuf with gzip compression yields ~500 bytes/span average.
**(B) P2P trace context overhead** (added to existing messages, always-on regardless of sampling):
| Message Type | Rate | Context Size | Bandwidth |
| ------------- | -------- | ------------ | ------------- |
| TMTransaction | ~100/sec | 29 bytes | ~2.9 KB/s |
| TMValidation | ~50/sec | 29 bytes | ~1.5 KB/s |
| TMProposeSet | ~10/sec | 29 bytes | ~0.3 KB/s |
| **Total P2P** | | | **~4.7 KB/s** |
> **Combined**: 25 KB/s (OTLP export at 10%) + 5 KB/s (P2P context) ≈ **~30 KB/s typical**. The 10-50 KB/s range covers 10-20% sampling under normal to peak mainnet load.
**Latency (<2%) — Calculation**:
| Path | Tracing Cost | Baseline | Overhead |
| ------------------------------ | ------------ | -------- | -------- |
| Fast RPC (e.g., `server_info`) | 2.75 μs | ~1 ms | 0.275% |
| Slow RPC (e.g., `path_find`) | 2.75 μs | ~100 ms | 0.003% |
| Transaction processing | 4.0 μs | ~200 μs | 2.0% |
| Consensus round | 36 μs | ~3 sec | 0.001% |
> At p99, even the worst case (TX processing at 2.0%) is within the 1-3% range. RPC and consensus overhead are negligible. On production hardware, TX overhead drops to ~1.3%.
### Per-Message Overhead (Context Propagation)
Each P2P message carries trace context with the following overhead:
| Field | Size | Description |
| ------------- | ------------- | ----------------------------------------- |
| `trace_id` | 16 bytes | Unique identifier for the entire trace |
| `span_id` | 8 bytes | Current span (becomes parent on receiver) |
| `trace_flags` | 1 byte | Sampling decision flags |
| `trace_state` | 0-4 bytes | Optional vendor-specific data |
| **Total** | **~29 bytes** | **Added per traced P2P message** |
```mermaid
flowchart LR
subgraph msg["P2P Message with Trace Context"]
A["Original Message<br/>(variable size)"] --> B["+ TraceContext<br/>(~29 bytes)"]
end
subgraph breakdown["Context Breakdown"]
C["trace_id<br/>16 bytes"]
D["span_id<br/>8 bytes"]
E["flags<br/>1 byte"]
F["state<br/>0-4 bytes"]
end
B --> breakdown
style A fill:#424242,stroke:#212121,color:#fff
style B fill:#2e7d32,stroke:#1b5e20,color:#fff
style C fill:#1565c0,stroke:#0d47a1,color:#fff
style D fill:#1565c0,stroke:#0d47a1,color:#fff
style E fill:#e65100,stroke:#bf360c,color:#fff
style F fill:#4a148c,stroke:#2e0d57,color:#fff
```
**Reading the diagram:**
- **Original Message (gray, left)**: The existing P2P message payload of variable size this is unchanged; trace context is appended, never modifying the original data.
- **+ TraceContext (green, right of message)**: The additional 29-byte context block attached to each traced message; the arrow from the original message shows it is a pure addition.
- **Context Breakdown (right subgraph)**: The four fields `trace_id` (16 bytes), `span_id` (8 bytes), `flags` (1 byte), and `state` (0-4 bytes) show exactly what is added and their individual sizes.
- **Color coding**: Blue fields (`trace_id`, `span_id`) are the core identifiers required for trace correlation; orange (`flags`) controls sampling decisions; purple (`state`) is optional vendor data typically omitted.
> **Note**: 29 bytes represents ~1-6% overhead depending on message size (500B simple TX to 5KB proposal), which is acceptable for the observability benefits provided.
### Mitigation Strategies
```mermaid
flowchart LR
A["Head Sampling<br/>fixed 1.0 (record all)"] --> B["Tail Sampling<br/>Keep errors/slow"] --> C["Batch Export<br/>Reduce I/O"] --> D["Conditional Compile<br/>XRPL_ENABLE_TELEMETRY"]
style A fill:#1565c0,stroke:#0d47a1,color:#fff
style B fill:#2e7d32,stroke:#1b5e20,color:#fff
style C fill:#e65100,stroke:#bf360c,color:#fff
style D fill:#4a148c,stroke:#2e0d57,color:#fff
```
> For a detailed explanation of head vs. tail sampling, see Slide 9.
### Kill Switches (Rollback Options)
1. **Config Disable**: Set `enabled=0` in config instant disable, no restart needed for sampling
2. **Rebuild**: Compile with `XRPL_ENABLE_TELEMETRY=OFF` zero overhead (no-op)
3. **Full Revert**: Clean separation allows easy commit reversion
---
## Slide 9: Sampling Strategies — Head vs. Tail
> Sampling controls **which traces are recorded and exported**. Without sampling, every operation generates a trace — at 500+ spans/sec, this overwhelms storage and network. Sampling lets you keep the signal, discard the noise.
### Head Sampling (Decision at Start)
The sampling decision is made **when a trace begins**, before any work is done. A random number is generated; if it falls within the configured ratio, the entire trace is recorded. Otherwise, the trace is silently dropped.
```mermaid
flowchart LR
A["New Request<br/>Arrives"] --> B{"Random < 10%?"}
B -->|"Yes (1 in 10)"| C["Record Entire Trace<br/>(all spans)"]
B -->|"No (9 in 10)"| D["Drop Entire Trace<br/>(zero overhead)"]
style C fill:#2e7d32,stroke:#1b5e20,color:#fff
style D fill:#c62828,stroke:#8c2809,color:#fff
style B fill:#1565c0,stroke:#0d47a1,color:#fff
```
| Aspect | Details |
| ----------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Where it runs** | Inside xrpld (SDK-level). In xrpld the ratio is fixed at 1.0 and not read from config (tail sampling in the collector needs every span) the example below shows the general head-sampling mechanism. |
| **When the decision happens** | At trace creation time before the first span is even populated. |
| **How it works** | `sampling_ratio=0.1` means each trace has a 10% probability of being recorded. Dropped traces incur near-zero overhead (no spans created, no attributes set, no export). |
| **Propagation** | Once a trace is sampled, the `trace_flags` field (1 byte in the context header) tells downstream nodes to also sample it. Unsampled traces propagate `trace_flags=0`, so downstream nodes skip them too. |
| **Pros** | Lowest overhead. Simple to configure. Predictable resource usage. |
| **Cons** | **Blind** it doesn't know if the trace will be interesting. A rare error or slow consensus round has only a 10% chance of being captured. |
| **Best for** | High-volume, steady-state traffic where most traces look similar (e.g., routine RPC requests). |
**xrpld configuration**:
```ini
[telemetry]
# xrpld fixes head sampling at 1.0 (record every trace). This value is
# NOT read from config — the collector performs tail sampling instead,
# which needs all spans to arrive. See Slide 9 (tail sampling) and §7.4.2.
sampling_ratio=1.0
```
### Tail Sampling (Decision at End)
The sampling decision is made **after the trace completes**, based on its actual content was it slow? Did it error? Was it a consensus round? This requires buffering complete traces before deciding.
```mermaid
flowchart TB
A["All Traces<br/>Buffered (100%)"] --> B["OTel Collector<br/>Evaluates Rules"]
B --> C{"Error?"}
C -->|Yes| K["KEEP"]
C -->|No| D{"Slow?<br/>(>5s consensus,<br/>>1s RPC)"}
D -->|Yes| K
D -->|No| E{"Random < 10%?"}
E -->|Yes| K
E -->|No| F["DROP"]
style K fill:#2e7d32,stroke:#1b5e20,color:#fff
style F fill:#c62828,stroke:#8c2809,color:#fff
style B fill:#1565c0,stroke:#0d47a1,color:#fff
style C fill:#e65100,stroke:#bf360c,color:#fff
style D fill:#e65100,stroke:#bf360c,color:#fff
style E fill:#4a148c,stroke:#2e0d57,color:#fff
```
| Aspect | Details |
| ----------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| **Where it runs** | In the **OTel Collector** (external process), not inside xrpld. xrpld exports 100% of traces; the Collector decides what to keep. |
| **When the decision happens** | After the Collector has received all spans for a trace (waits `decision_wait=10s` for stragglers). |
| **How it works** | Policy rules evaluate the completed trace: keep all errors, keep slow operations above a threshold, keep all consensus rounds, then probabilistically sample the rest at 10%. |
| **Pros** | **Never misses important traces**. Errors, slow requests, and consensus anomalies are always captured regardless of probability. |
| **Cons** | Higher resource usage xrpld must export 100% of spans to the Collector, which buffers them in memory before deciding. The Collector needs more RAM (configured via `num_traces` and `decision_wait`). |
| **Best for** | Production troubleshooting where you can't afford to miss errors or anomalies. |
**Collector configuration** (tail sampling rules for xrpld):
```yaml
processors:
tail_sampling:
decision_wait: 10s # Wait for all spans in a trace
num_traces: 100000 # Buffer up to 100K concurrent traces
policies:
- name: errors # Always keep error traces
type: status_code
status_code: { status_codes: [ERROR] }
- name: slow-consensus # Keep consensus rounds >5s
type: latency
latency: { threshold_ms: 5000 }
- name: slow-rpc # Keep slow RPC requests >1s
type: latency
latency: { threshold_ms: 1000 }
- name: probabilistic # Sample 10% of everything else
type: probabilistic
probabilistic: { sampling_percentage: 10 }
```
### Head vs. Tail — Side-by-Side
| | Head Sampling | Tail Sampling |
| ----------------------------- | ----------------------------------------- | ------------------------------------------------ |
| **Decision point** | Trace start (inside xrpld) | Trace end (in OTel Collector) |
| **Knows trace content?** | No (random coin flip) | Yes (evaluates completed trace) |
| **Overhead on xrpld** | Lowest (dropped traces = no-op) | Higher (must export 100% to Collector) |
| **Collector resource usage** | Low (receives only sampled traces) | Higher (buffers all traces before deciding) |
| **Captures all errors?** | No (only if trace was randomly selected) | **Yes** (error policy catches them) |
| **Captures slow operations?** | No (random) | **Yes** (latency policy catches them) |
| **Configuration** | Fixed at `1.0` in xrpld (not config-read) | `otel-collector.yaml`: `tail_sampling` processor |
| **Best for** | High-throughput steady-state | Troubleshooting & anomaly detection |
### Recommended Strategy for xrpld
Use **both** in a layered approach:
```mermaid
flowchart LR
subgraph xrpld["xrpld (Head Sampling)"]
HS["sampling_ratio=1.0<br/>(export everything)"]
end
subgraph collector["OTel Collector (Tail Sampling)"]
TS["Keep: errors + slow + 10% random<br/>Drop: routine traces"]
end
subgraph storage["Backend Storage"]
ST["Only interesting traces<br/>stored long-term"]
end
xrpld -->|"100% of spans"| collector -->|"~15-20% kept"| storage
style xrpld fill:#424242,stroke:#212121,color:#fff
style collector fill:#1565c0,stroke:#0d47a1,color:#fff
style storage fill:#2e7d32,stroke:#1b5e20,color:#fff
```
> **Why this works**: xrpld exports everything (no blind drops), the Collector applies intelligent filtering (keep errors/slow/anomalies, sample the rest), and only ~15-20% of traces reach storage. xrpld's head sampling is fixed at 1.0 and not configurable, because tail sampling can only see traces that reach the Collector — any head drop would blind the error/slow policies. To reduce volume, tune the Collector's tail-sampling rules rather than adding head sampling.
---
## Slide 10: Data Collection & Privacy
### What Data is Collected
| Category | Attributes Collected | Purpose |
| --------------- | -------------------------------------------------------------------------------------------------------------------- | --------------------------- |
| **Transaction** | `tx_hash`, `tx_type`, `tx_result`, `tx_fee`, `ledger_index` | Trace transaction lifecycle |
| **Consensus** | `consensus_round`, `consensus_phase`, `consensus_mode`, `proposers` (count of proposing validators), `round_time_ms` | Analyze consensus timing |
| **RPC** | `command`, `version`, `rpc_status`, `duration_ms` | Monitor RPC performance |
| **Peer** | `peer_id`(public key), `peer_latency_ms`, `message_type`, `message_size_bytes` | Network topology analysis |
| **Ledger** | `ledger_hash`, `ledger_index`, `close_time`, `ledger_tx_count` | Ledger progression tracking |
| **Job** | `job_type`, `job_queue_ms`, `job_worker` | JobQueue performance |
### What is NOT Collected (Privacy Guarantees)
```mermaid
flowchart LR
subgraph notCollected["❌ NOT Collected"]
direction LR
A["Private Keys"] ~~~ B["Account Balances"] ~~~ C["Transaction Amounts"]
end
subgraph alsoNot["❌ Also Excluded"]
direction LR
D["IP Addresses<br/>(configurable)"] ~~~ E["Personal Data"] ~~~ F["Raw TX Payloads"]
end
style A fill:#c62828,stroke:#8c2809,color:#fff
style B fill:#c62828,stroke:#8c2809,color:#fff
style C fill:#c62828,stroke:#8c2809,color:#fff
style D fill:#c62828,stroke:#8c2809,color:#fff
style E fill:#c62828,stroke:#8c2809,color:#fff
style F fill:#c62828,stroke:#8c2809,color:#fff
```
**Reading the diagram:**
- **NOT Collected (top row, red)**: Private Keys, Account Balances, and Transaction Amounts are explicitly excluded these are financial/security-sensitive fields that telemetry never touches.
- **Also Excluded (bottom row, red)**: IP Addresses (configurable per deployment), Personal Data, and Raw TX Payloads are also excluded these protect operator and user privacy.
- **All-red styling**: Every box is styled in red to visually reinforce that these are hard exclusions, not optional the telemetry system has no code path to collect any of these fields.
- **Two-row layout**: The split between "NOT Collected" and "Also Excluded" distinguishes between financial data (top) and operational/personal data (bottom), making the privacy boundaries clear to auditors.
### Privacy Protection Mechanisms
| Mechanism | Description |
| -------------------------- | --------------------------------------------------------- |
| **Account Hashing** | `tx_account` is hashed at collector level before storage |
| **Configurable Redaction** | Sensitive fields can be excluded via config |
| **Sampling** | Only 10% of traces recorded by default (reduces exposure) |
| **Local Control** | Node operators control what gets exported |
| **No Raw Payloads** | Transaction content is never recorded, only metadata |
> **Key Principle**: Telemetry collects **operational metadata** (timing, counts, hashes) — never **sensitive content** (keys, balances, amounts).
---
_End of Presentation_

161
bin/check-tools.sh Executable file
View File

@@ -0,0 +1,161 @@
#!/usr/bin/env bash
#
# check-tools.sh — verify the xrpld development tooling is present and runnable.
#
# Works on Linux, macOS, and Windows (Git Bash / MSYS). For every expected tool
# it runs a version probe, collecting anything that is missing or fails to run,
# and prints a summary at the end (exiting non-zero if anything is missing).
#
# The tool set is platform-aware:
# - Linux: the full Nix CI environment (see nix/packages.nix, nix/ci-env.nix),
# with GCC, Clang and the sanitizer/coverage tooling. This script is
# run during the Nix Docker image build (nix/docker/Dockerfile), so
# the Linux list is kept in sync with that environment.
# - macOS: the same tooling, minus GCC/g++/gcov/mold
# - Windows: the core build tools only (CMake, Conan, Git, Python).
# MSVC is expected to be provided separately and is not checked here.
#
# Some tools (clang-format, doxygen, gcovr, gh, git-cliff, gpg, pre-commit,
# run-clang-tidy) are present in our Linux CI images and in local development
# setups, but not in the macOS CI environment. They are checked everywhere
# except when running in CI on macOS.
#
# Environment variables:
# CI if set, skip the tools above when on macOS.
# CHECK_TOOLS_SKIP_CLONE if set, skip the git-over-HTTPS connectivity check.
set -uo pipefail
missing=()
checked=0
# check <name> [probe-command...]
# Runs the probe (default: "<name> --version") quietly. Records <name> as
# missing if the command is not found or exits non-zero.
check() {
local name="$1"
shift
local -a probe=("$@")
if [ "${#probe[@]}" -eq 0 ]; then
probe=("${name}" --version)
fi
echo "Checking ${name}..."
checked=$((checked + 1))
if "${probe[@]}" | head -n 1; then
printf ' [ ok ] %s\n' "${name}"
else
printf ' [MISS] %s\n' "${name}"
missing+=("${name}")
fi
}
case "$(uname -s)" in
Linux*) os=linux ;;
Darwin*) os=macos ;;
MINGW* | MSYS* | CYGWIN*) os=windows ;;
*)
echo "Unknown OS: $(uname -s)" >&2
exit 1
;;
esac
echo "Detected OS: ${os} ($(uname -s) $(uname -m))"
echo
echo "Core build tools:"
check cmake
check conan
check git
if [ "${os}" = "windows" ]; then
check python python --version
else
check python3
fi
# The full development toolchain. Available from Nix on Linux and macOS; on
# Windows these are typically not installed, so they are skipped.
if [ "${os}" = "linux" ] || [ "${os}" = "macos" ]; then
echo
echo "Development tooling:"
check ccache
check clang
check clang++
check ClangBuildAnalyzer
check curl
check file
check less
check make
check netstat which netstat
check ninja
check perl
check pkg-config
check vim
check zip
# These tools are present in our Linux CI images and in local development
# setups, but not in the macOS CI environment. So check them everywhere
# except when running in CI on macOS.
if [ "${os}" = "linux" ] || [ -z "${CI:-}" ]; then
check clang-format
check dot
check doxygen
check gcovr
check gh
check git-cliff
check git-lfs
check gpg
# pre-commit, or its alternative implementation prek
check pre-commit sh -c 'pre-commit --version || prek --version'
check run-clang-tidy run-clang-tidy --help
fi
fi
# GCC is the default compiler on Linux. macOS uses the system Apple Clang
# instead, so GCC/g++/gcov are not expected there.
if [ "${os}" = "linux" ]; then
echo
echo "GCC toolchain:"
check gcc
check g++
check gcov
echo
echo "Mold:"
check mold
fi
if [ "${os}" = "windows" ]; then
echo
echo "Note: on Windows the C++ compiler is MSVC, which is provided"
echo " separately (e.g. via Visual Studio) and is not checked here."
fi
# A simple test to verify that git can clone a repository over HTTPS
# (i.e. the CA bundle is wired up). Clone to a temp dir and clean up.
if [ -n "${CHECK_TOOLS_SKIP_CLONE:-}" ]; then
echo
echo "Skipping git-over-HTTPS check (CHECK_TOOLS_SKIP_CLONE is set)."
else
echo
echo "Connectivity check:"
checked=$((checked + 1))
tmp_clone="$(mktemp -d)"
if git clone --depth 1 https://github.com/XRPLF/actions.git "${tmp_clone}/actions" >/dev/null 2>&1; then
printf ' [ ok ] git clone over HTTPS\n'
else
printf ' [MISS] git clone over HTTPS\n'
missing+=("git-https-clone")
fi
rm -rf "${tmp_clone}"
fi
echo
if [ "${#missing[@]}" -eq 0 ]; then
echo "All ${checked} checked tools are present and runnable."
else
echo "Missing or non-functional tools (${#missing[@]} of ${checked}):" >&2
for tool in "${missing[@]}"; do
echo " - ${tool}" >&2
done
exit 1
fi

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@@ -0,0 +1,34 @@
#!/usr/bin/env python3
"""
Adds "#pragma once" to the top of header files that don't already have it.
Usage: ./bin/pre-commit/fix_pragma_once.py <file1> <file2> ...
"""
import sys
from pathlib import Path
PRAGMA_ONCE = "#pragma once\n\n"
def fix_pragma_once(path: Path) -> bool:
original = path.read_text(encoding="utf-8")
if PRAGMA_ONCE not in original:
path.write_text(PRAGMA_ONCE + original, encoding="utf-8")
return False
return True
def main() -> int:
files = [Path(f) for f in sys.argv[1:]]
success = True
for path in files:
success &= fix_pragma_once(path)
return 0 if success else 1
if __name__ == "__main__":
sys.exit(main())

View File

@@ -56,3 +56,16 @@ elseif(CMAKE_SYSTEM_PROCESSOR MATCHES "aarch64|arm64|ARM64")
else()
message(FATAL_ERROR "Unknown architecture: ${CMAKE_SYSTEM_PROCESSOR}")
endif()
# --------------------------------------------------------------------
# Sanitizers
# --------------------------------------------------------------------
# SANITIZERS is injected by the Conan toolchain when a sanitizer build is
# requested (see conan/profiles/sanitizers). The flags are applied to the
# 'common' target in XrplSanitizers; this flag lets other modules know a
# sanitizer build is active without depending on that module.
if(DEFINED SANITIZERS)
set(SANITIZERS_ENABLED TRUE)
else()
set(SANITIZERS_ENABLED FALSE)
endif()

View File

@@ -0,0 +1,53 @@
#[===================================================================[
Patch executables to run in non-Nix environments.
The Nix-based CI image links binaries against an ELF interpreter (loader)
that lives in the Nix store, so the resulting binaries don't run elsewhere
(including once installed from the .deb package). `patch_nix_binary` adds a
POST_BUILD step that resets the interpreter to the system default loader and
drops the rpath.
This is only active inside the Nix-based image, detected by the presence of
/tmp/loader-path.sh (shipped by that image, resolves the default loader). It
is skipped for sanitizer builds, whose runtime libraries are resolved through
the rpath. Everywhere else `patch_nix_binary` is a no-op.
#]===================================================================]
include_guard(GLOBAL)
include(CompilationEnv)
# Provided by the Nix-based CI image; prints the system default ELF loader path.
set(_loader_path_script "/tmp/loader-path.sh")
if(is_linux AND NOT SANITIZERS_ENABLED AND EXISTS "${_loader_path_script}")
execute_process(
COMMAND "${_loader_path_script}"
OUTPUT_VARIABLE DEFAULT_LOADER_PATH
OUTPUT_STRIP_TRAILING_WHITESPACE
COMMAND_ERROR_IS_FATAL ANY
)
find_program(PATCHELF_COMMAND patchelf REQUIRED)
set(PATCH_NIX_BINARIES TRUE)
message(
STATUS
"Binaries will be patched to use loader '${DEFAULT_LOADER_PATH}'"
)
else()
set(PATCH_NIX_BINARIES FALSE)
endif()
function(patch_nix_binary target)
if(NOT PATCH_NIX_BINARIES)
return()
endif()
add_custom_command(
TARGET ${target}
POST_BUILD
COMMAND
"${PATCHELF_COMMAND}" --set-interpreter "${DEFAULT_LOADER_PATH}"
--remove-rpath "$<TARGET_FILE:${target}>"
COMMENT "Patching ${target}: set default loader, remove rpath"
VERBATIM
)
endfunction()

View File

@@ -154,6 +154,15 @@ else()
>
)
# On aarch64, libatomic is required for atomic operations. It is not needed on x86_64.
# Linking it statically on Linux
if(is_arm64 AND is_linux)
target_link_options(
common
INTERFACE -Wl,--push-state -Wl,-Bstatic -latomic -Wl,--pop-state
)
endif()
# Keep -stdlib=libstdc++ off the compile commands, but preserve it for linking.
#
# Conan turns `compiler.libcxx=libstdc++` into `-stdlib=libstdc++` and puts it in

View File

@@ -247,6 +247,7 @@ target_link_modules(
if(xrpld)
add_executable(xrpld)
patch_nix_binary(xrpld)
if(tests)
target_compile_definitions(xrpld PUBLIC ENABLE_TESTS)
target_compile_definitions(

View File

@@ -28,7 +28,6 @@ endif()
set(package_env
SRC_DIR=${CMAKE_SOURCE_DIR}
BUILD_DIR=${CMAKE_BINARY_DIR}
PKG_VERSION=${xrpld_version}
PKG_RELEASE=${pkg_release}
)

View File

@@ -14,11 +14,9 @@
include_guard(GLOBAL)
include(CompilationEnv)
if(NOT DEFINED SANITIZERS)
set(SANITIZERS_ENABLED FALSE)
if(NOT SANITIZERS_ENABLED)
return()
endif()
set(SANITIZERS_ENABLED TRUE)
message(STATUS "=== Configuring Sanitizers ===")
message(STATUS " SANITIZERS: ${SANITIZERS}")

View File

@@ -1,43 +1,43 @@
{
"version": "0.5",
"requires": [
"zlib/1.3.2#1cb806da49011867778ffb6ac7190fcb%1777558780.503",
"xxhash/0.8.3#681d36a0a6111fc56e5e45ea182c19cc%1765850149.987",
"sqlite3/3.53.0#324ada52333108388a9a6108bfa96734%1776096494.149",
"soci/4.0.3#fe32b9ad5eb47e79ab9e45a68f363945%1774450067.231",
"snappy/1.1.10#968fef506ff261592ec30c574d4a7809%1765850147.878",
"secp256k1/0.7.1#481881709eb0bdd0185a12b912bbe8ad%1770910500.329",
"rocksdb/10.5.1#4a197eca381a3e5ae8adf8cffa5aacd0%1765850186.86",
"re2/20251105#8579cfd0bda4daf0683f9e3898f964b4%1774398111.888",
"protobuf/6.33.5#d96d52ba5baaaa532f47bda866ad87a5%1774467363.12",
"openssl/3.6.2#4789bbf131b77d0515d15e094c8f697f%1778071755.506",
"nudb/2.0.9#11149c73f8f2baff9a0198fe25971fc7%1775040983.408",
"lz4/1.10.0#59fc63cac7f10fbe8e05c7e62c2f3504%1765850143.914",
"libiconv/1.17#1e65319e945f2d31941a9d28cc13c058%1765842973.492",
"libbacktrace/cci.20210118#a7691bfccd8caaf66309df196790a5a1%1765842973.03",
"libarchive/3.8.7#c446109bd1f1d8ba7936c94189bc50e6%1776147552.838",
"zlib/1.3.2#1cb806da49011867778ffb6ac7190fcb%1782392402.122708",
"xxhash/0.8.3#681d36a0a6111fc56e5e45ea182c19cc%1782392402.420688",
"sqlite3/3.53.0#324ada52333108388a9a6108bfa96734%1782392403.185447",
"soci/4.0.3#e726491a03468795453f7c83fc924a96%1782392402.679521",
"snappy/1.1.10#968fef506ff261592ec30c574d4a7809%1782307151.633168",
"secp256k1/0.7.1#b1f450b7f78a36fff75bb6934a356f3a%1782338841.3729",
"rocksdb/10.5.1#4a197eca381a3e5ae8adf8cffa5aacd0%1782392413.075713",
"re2/20251105#8579cfd0bda4daf0683f9e3898f964b4%1782392402.431897",
"protobuf/6.33.5#ff253ead763bd8d9904a52979cd21e81%1782392410.233933",
"openssl/3.6.3#1163d4ddc603907084d08a6a0c6e580f%1782307150.583886",
"nudb/2.0.9#11149c73f8f2baff9a0198fe25971fc7%1782392402.297166",
"lz4/1.10.0#982d9b673900f665a1da109e09c17cab%1782392402.164188",
"libiconv/1.17#9923bc6dc6f106646d6967e0039a5ada%1782392792.775744",
"libbacktrace/cci.20210118#a7691bfccd8caaf66309df196790a5a1%1782392402.420732",
"libarchive/3.8.7#c446109bd1f1d8ba7936c94189bc50e6%1782392403.066892",
"jemalloc/5.3.1#1fc58d55316041f10fbc1e8a2eae632a%1776700028.228",
"gtest/1.17.0#5224b3b3ff3b4ce1133cbdd27d53ee7d%1768312129.152",
"grpc/1.78.1#b1a9e74b145cc471bed4dc64dc6eb2c1%1774467387.342",
"ed25519/2015.03#ae761bdc52730a843f0809bdf6c1b1f6%1765850143.772",
"date/3.0.4#862e11e80030356b53c2c38599ceb32b%1765850143.772",
"c-ares/1.34.6#545240bb1c40e2cacd4362d6b8967650%1774439234.681",
"bzip2/1.0.8#c470882369c2d95c5c77e970c0c7e321%1765850143.837",
"boost/1.91.0#ea540ca2133d831b560036aa24dece3c%1778050991.9",
"abseil/20250127.0#bb0baf1f362bc4a725a24eddd419b8f7%1774365460.196"
"gtest/1.17.0#5224b3b3ff3b4ce1133cbdd27d53ee7d%1782392402.791979",
"grpc/1.81.1#5217e6ef0544c42b46f4af35d5e7f649%1782307148.845616",
"ed25519/2015.03#ae761bdc52730a843f0809bdf6c1b1f6%1782307148.15562",
"date/3.0.4#862e11e80030356b53c2c38599ceb32b%1782392402.538492",
"c-ares/1.34.6#545240bb1c40e2cacd4362d6b8967650%1782392402.681654",
"bzip2/1.0.8#c470882369c2d95c5c77e970c0c7e321%1782392402.296732",
"boost/1.91.0#ea540ca2133d831b560036aa24dece3c%1782392419.475605",
"abseil/20250127.0#bb0baf1f362bc4a725a24eddd419b8f7%1782307147.395833"
],
"build_requires": [
"zlib/1.3.2#1cb806da49011867778ffb6ac7190fcb%1777558780.503",
"strawberryperl/5.32.1.1#8d114504d172cfea8ea1662d09b6333e%1774447376.964",
"protobuf/6.33.5#d96d52ba5baaaa532f47bda866ad87a5%1774467363.12",
"nasm/2.16.01#31e26f2ee3c4346ecd347911bd126904%1765850144.707",
"zlib/1.3.2#1cb806da49011867778ffb6ac7190fcb%1782392402.122708",
"strawberryperl/5.32.1.1#8d114504d172cfea8ea1662d09b6333e%1782395692.540639",
"protobuf/6.33.5#ff253ead763bd8d9904a52979cd21e81%1782392410.233933",
"nasm/2.16.01#31e26f2ee3c4346ecd347911bd126904%1782395690.33162",
"msys2/cci.latest#d22fe7b2808f5fd34d0a7923ace9c54f%1770657326.649",
"m4/1.4.19#4523e4347b55cd26ae918bd5770cab9a%1778062762.471",
"cmake/4.3.0#b939a42e98f593fb34d3a8c5cc860359%1774439249.183",
"b2/5.4.2#ffd6084a119587e70f11cd45d1a386e2%1774439233.447",
"m4/1.4.19#34c4bbc3eeebe98ca6edf2f52d602e7d%1777282960.259",
"cmake/4.3.3#840cf00ea09777e05c2050a50a82c722%1782392418.696091",
"b2/5.4.2#ffd6084a119587e70f11cd45d1a386e2%1782392402.624226",
"automake/1.16.5#b91b7c384c3deaa9d535be02da14d04f%1755524470.56",
"autoconf/2.71#51077f068e61700d65bb05541ea1e4b0%1731054366.86",
"abseil/20250127.0#bb0baf1f362bc4a725a24eddd419b8f7%1774365460.196"
"abseil/20250127.0#bb0baf1f362bc4a725a24eddd419b8f7%1782307147.395833"
],
"python_requires": [],
"overrides": {
@@ -57,7 +57,7 @@
"boost/1.91.0"
],
"lz4/[>=1.9.4 <2]": [
"lz4/1.10.0#59fc63cac7f10fbe8e05c7e62c2f3504"
"lz4/1.10.0#982d9b673900f665a1da109e09c17cab"
]
},
"config_requires": []

View File

@@ -14,7 +14,7 @@ export CONAN_HOME="$TEMP_DIR"
# Ensure that the xrplf remote is the first to be consulted, so any recipes we
# patched are used. We also add it there to not created huge diff when the
# official Conan Center Index is updated.
conan remote add --force --index 0 xrplf https://conan.ripplex.io
conan remote add --force --index 0 xrplf https://conan.xrplf.org/repository/conan/
# Delete any existing lockfile.
rm -f conan.lock

View File

@@ -28,10 +28,10 @@ class Xrpl(ConanFile):
requires = [
"ed25519/2015.03",
"grpc/1.78.1",
"grpc/1.81.1",
"libarchive/3.8.7",
"nudb/2.0.9",
"openssl/3.6.2",
"openssl/3.6.3",
"secp256k1/0.7.1",
"soci/4.0.3",
"zlib/1.3.2",

View File

@@ -66,6 +66,7 @@ words:
- Btrfs
- Buildx
- canonicality
- CGNAT
- changespq
- checkme
- choco
@@ -109,6 +110,7 @@ words:
- enabled
- enablerepo
- endmacro
- envrc
- exceptioned
- EXPECT_STREQ
- Falco
@@ -118,6 +120,8 @@ words:
- fmtdur
- fsanitize
- funclets
- gantt
- Gantt
- gcov
- gcovr
- ghead
@@ -164,12 +168,11 @@ words:
- mathbunnyru
- mcmodel
- MEMORYSTATUSEX
- MPTAMM
- MPTDEX
- Merkle
- Metafuncton
- misprediction
- missingok
- MPTAMM
- mptbalance
- MPTDEX
- mptflags
@@ -203,6 +206,7 @@ words:
- nonxrp
- noreplace
- noripple
- nostd
- nostdinc
- notifempty
- nudb
@@ -211,6 +215,7 @@ words:
- Nyffenegger
- onlatest
- ostr
- otelc
- pargs
- partitioner
- paychan
@@ -233,8 +238,10 @@ words:
- pyenv
- pyparsing
- qalloc
- qbsprofile
- queuable
- Raphson
- rcflags
- replayer
- rerere
- retriable
@@ -288,6 +295,7 @@ words:
- takerpays
- ters
- TMEndpointv2
- traceql
- trixie
- tx
- txid
@@ -295,9 +303,11 @@ words:
- txjson
- txn
- txns
- txqueue
- txs
- ubsan
- UBSAN
- ufdio
- umant
- unacquired
- unambiguity
@@ -342,4 +352,5 @@ words:
- xrplf
- xxhash
- xxhasher
- CGNAT
- xychart
- zpages

193
docs/build/advanced_conan.md vendored Normal file
View File

@@ -0,0 +1,193 @@
# Advanced Conan configuration
This document provides advanced instructions for setting up and configuring Conan for `xrpld` development: custom profiles, the lockfile, patched recipes, and profile tweaks.
## Custom profile
If the default profile does not work for you and you do not yet have a Conan
profile, you can create one by running:
```bash
conan profile detect
```
You may need to make changes to the profile to suit your environment. You can
refer to the provided `conan/profiles/default` profile for inspiration, and you
may also need to apply the required [tweaks](#conan-profile-tweaks) to this
default profile.
## Conan lockfile
To achieve reproducible dependencies, we use a [Conan lockfile](https://docs.conan.io/2/tutorial/versioning/lockfiles.html),
which has to be updated every time dependencies change.
Please see the [instructions on how to regenerate the lockfile](../../conan/lockfile/README.md).
## Patched recipes
Occasionally, we need patched recipes or recipes not present in Conan Center.
We maintain a fork of the Conan Center Index
[here](https://github.com/XRPLF/conan-center-index/) containing the modified and newly added recipes.
To ensure our patched recipes are used, you must add our Conan remote at a
higher index than the default Conan Center remote, so it is consulted first. You
can do this by running:
```bash
conan remote add --index 0 --force xrplf https://conan.xrplf.org/repository/conan/
```
Alternatively, you can pull our recipes from the repository and export them locally:
```bash
# Define which recipes to export.
recipes=('abseil' 'ed25519' 'mpt-crypto' 'openssl' 'secp256k1' 'snappy' 'soci' 'wasm-xrplf' 'wasmi')
# Selectively check out the recipes from our CCI fork.
cd external
mkdir -p conan-center-index
cd conan-center-index
git init
git remote add origin git@github.com:XRPLF/conan-center-index.git
git sparse-checkout init
for recipe in "${recipes[@]}"; do
echo "Checking out recipe '${recipe}'..."
git sparse-checkout add recipes/${recipe}
done
git fetch origin master
git checkout master
./export_all.sh
cd ../../
```
In the case we switch to a newer version of a dependency that still requires a
patch or add a new dependency, it will be necessary for you to pull in the changes and re-export the
updated dependencies with the newer version. However, if we switch to a newer
version that no longer requires a patch, no action is required on your part, as
the new recipe will be automatically pulled from the official Conan Center.
> [!NOTE]
> You might need to add `--lockfile=""` to your `conan install` command
> to avoid automatic use of the existing `conan.lock` file when you run
> `conan export` manually on your machine
>
> This is not recommended though, as you might end up using different revisions of recipes.
## Conan profile tweaks
### Missing compiler version
If you see an error similar to the following after running `conan profile show`:
```text
ERROR: Invalid setting '17' is not a valid 'settings.compiler.version' value.
Possible values are ['5.0', '5.1', '6.0', '6.1', '7.0', '7.3', '8.0', '8.1',
'9.0', '9.1', '10.0', '11.0', '12.0', '13', '13.0', '13.1', '14', '14.0', '15',
'15.0', '16', '16.0']
Read "http://docs.conan.io/2/knowledge/faq.html#error-invalid-setting"
```
you need to create `$(conan config home)/settings_user.yml` file if it doesn't exist and add the required version number(s)
to the `version` array specific for your compiler. For example:
```yaml
compiler:
apple-clang:
version: ["17.0"]
```
### Multiple compilers
If you have multiple compilers installed, make sure to select the one to use in
your default Conan configuration **before** running `conan profile detect`, by
setting the `CC` and `CXX` environment variables.
For example, if you are running MacOS and have [homebrew
LLVM@18](https://formulae.brew.sh/formula/llvm@18), and want to use it as a
compiler in the new Conan profile:
```bash
export CC=$(brew --prefix llvm@18)/bin/clang
export CXX=$(brew --prefix llvm@18)/bin/clang++
conan profile detect
```
You should also explicitly set the path to the compiler in the profile file,
which helps to avoid errors when `CC` and/or `CXX` are set and disagree with the
selected Conan profile. For example:
```text
[conf]
tools.build:compiler_executables={'c':'/usr/bin/gcc','cpp':'/usr/bin/g++'}
```
### Multiple profiles
You can manage multiple Conan profiles in the directory
`$(conan config home)/profiles`, for example renaming `default` to a different
name and then creating a new `default` profile for a different compiler.
### Select language
The default profile created by Conan will typically select different C++ dialect
than C++23 used by this project. You should set `23` in the profile line
starting with `compiler.cppstd=`. For example:
```bash
sed -i.bak -e 's|^compiler\.cppstd=.*$|compiler.cppstd=23|' $(conan config home)/profiles/default
```
### Select standard library in Linux
**Linux** developers will commonly have a default Conan [profile][] that
compiles with GCC and links with libstdc++. If you are linking with libstdc++
(see profile setting `compiler.libcxx`), then you will need to choose the
`libstdc++11` ABI:
```bash
sed -i.bak -e 's|^compiler\.libcxx=.*$|compiler.libcxx=libstdc++11|' $(conan config home)/profiles/default
```
### Select architecture and runtime in Windows
**Windows** developers may need to use the x64 native build tools. An easy way
to do that is to run the shortcut "x64 Native Tools Command Prompt" for the
version of Visual Studio that you have installed.
Windows developers must also build `xrpld` and its dependencies for the x64
architecture:
```bash
sed -i.bak -e 's|^arch=.*$|arch=x86_64|' $(conan config home)/profiles/default
```
**Windows** developers also must select static runtime:
```bash
sed -i.bak -e 's|^compiler\.runtime=.*$|compiler.runtime=static|' $(conan config home)/profiles/default
```
## Add a Dependency
If you want to experiment with a new package, follow these steps:
1. Search for the package on [Conan Center](https://conan.io/center/).
2. Modify [`conanfile.py`](../../conanfile.py):
- Add a version of the package to the `requires` property.
- Change any default options for the package by adding them to the
`default_options` property (with syntax `'$package:$option': $value`).
3. Regenerate the [Conan lockfile](../../conan/lockfile/README.md) so the new
dependency is captured:
```bash
./conan/lockfile/regenerate.sh
```
4. Modify [`CMakeLists.txt`](../../CMakeLists.txt):
- Add a call to `find_package($package REQUIRED)`.
- Link a library from the package to the target `xrpl_libs`
(search for the existing call to `target_link_libraries(xrpl_libs INTERFACE ...)`).
5. Start coding! Don't forget to include whatever headers you need from the package.
[profile]: https://docs.conan.io/2/reference/config_files/profiles.html

2
docs/build/conan.md vendored
View File

@@ -115,7 +115,7 @@ By default, Conan will use the profile named "default".
[find_package]: https://cmake.org/cmake/help/latest/command/find_package.html
[pcf]: https://cmake.org/cmake/help/latest/manual/cmake-packages.7.html#package-configuration-file
[prefix_path]: https://cmake.org/cmake/help/latest/variable/CMAKE_PREFIX_PATH.html
[profile]: https://docs.conan.io/en/latest/reference/profiles.html
[profile]: https://docs.conan.io/2/reference/config_files/profiles.html
[pvf]: https://cmake.org/cmake/help/latest/manual/cmake-packages.7.html#package-version-file
[runtime]: https://cmake.org/cmake/help/latest/variable/CMAKE_MSVC_RUNTIME_LIBRARY.html
[search]: https://cmake.org/cmake/help/latest/command/find_package.html#search-procedure

View File

@@ -1,69 +1,73 @@
Our [build instructions][BUILD.md] assume you have a C++ development
environment complete with Git, Python, Conan, CMake, and a C++ compiler.
This document exists to help readers set one up on any of the Big Three
platforms: Linux, macOS, or Windows.
As an alternative to system packages, the Nix development shell can be used to provide a development environment. See [using nix development shell](./nix.md) for more details.
This document explains how to set one up.
[BUILD.md]: ../../BUILD.md
## Linux
## Tested compiler versions
Package ecosystems vary across Linux distributions,
so there is no one set of instructions that will work for every Linux user.
The instructions below are written for Debian 12 (Bookworm).
`xrpld` is built in the **C++23** dialect by default.
Make sure your toolchain is recent enough — the compiler versions currently tested in CI are:
```
export GCC_RELEASE=12
sudo apt update
sudo apt install --yes gcc-${GCC_RELEASE} g++-${GCC_RELEASE} python3-pip \
python-is-python3 python3-venv python3-dev curl wget ca-certificates \
git build-essential cmake ninja-build libc6-dev
sudo pip install --break-system-packages conan
| Compiler | Version |
| ----------- | ------- |
| GCC | 15.2 |
| Clang | 22 |
| Apple Clang | 17 |
| MSVC | 19.44 |
sudo update-alternatives --install /usr/bin/cc cc /usr/bin/gcc-${GCC_RELEASE} 999
sudo update-alternatives --install \
/usr/bin/gcc gcc /usr/bin/gcc-${GCC_RELEASE} 100 \
--slave /usr/bin/g++ g++ /usr/bin/g++-${GCC_RELEASE} \
--slave /usr/bin/gcc-ar gcc-ar /usr/bin/gcc-ar-${GCC_RELEASE} \
--slave /usr/bin/gcc-nm gcc-nm /usr/bin/gcc-nm-${GCC_RELEASE} \
--slave /usr/bin/gcc-ranlib gcc-ranlib /usr/bin/gcc-ranlib-${GCC_RELEASE} \
--slave /usr/bin/gcov gcov /usr/bin/gcov-${GCC_RELEASE} \
--slave /usr/bin/gcov-tool gcov-tool /usr/bin/gcov-tool-${GCC_RELEASE} \
--slave /usr/bin/gcov-dump gcov-dump /usr/bin/gcov-dump-${GCC_RELEASE} \
--slave /usr/bin/lto-dump lto-dump /usr/bin/lto-dump-${GCC_RELEASE}
sudo update-alternatives --auto cc
sudo update-alternatives --auto gcc
LLVM tools (`clang-tidy` and `clang-format`) are also pinned to version 22.
Older compilers may fail to build the latest `develop` code: the codebase now
relies on C++23 features and has been adjusted for `clang-tidy`.
If the latest code doesn't build for you, update your build toolchain first.
## Linux and macOS
The **recommended way** to get a development environment on Linux and macOS is
the Nix development shell. It provides the exact tooling used in CI — `git`,
`python`, `conan`, `cmake`, `clang-tidy`, `clang-format`, and everything else —
with a single command and without installing anything system-wide:
```bash
nix --experimental-features 'nix-command flakes' develop
```
If you use different Linux distribution, hope the instruction above can guide
you in the right direction. We try to maintain compatibility with all recent
compiler releases, so if you use a rolling distribution like e.g. Arch or CentOS
then there is a chance that everything will "just work".
On **Linux**, Nix also provides the compiler (GCC). On **macOS**, the shell uses
your **system-wide Apple Clang** as the compiler, so you still need to manage
its version (see below).
## macOS
See [Using the Nix development shell](./nix.md) for installation and usage
details, including how to select a different compiler.
Open a Terminal and enter the below command to bring up a dialog to install
the command line developer tools.
Once it is finished, this command should return a version greater than the
minimum required (see [BUILD.md][]).
> [!NOTE]
> Using Nix is not mandatory. Any custom environment (Homebrew packages or
> anything else) will continue to work, but then it is up to you to keep it in
> sync with the environment used in CI. Nix unifies the development environment
> for everyone and synchronizes updates, which is why we recommend it.
```
### macOS: managing the Apple Clang version
Because the Nix shell uses the system-wide Apple Clang on macOS, the compiler
version is whatever your installed Xcode (or Command Line Tools) provides. The
following command should return a version greater than or equal to the
[minimum required](#tested-compiler-versions):
```bash
clang --version
```
### Install Xcode Specific Version (Optional)
If you develop other applications using XCode you might be consistently updating to the newest version of Apple Clang.
This will likely cause issues building xrpld. You may want to install a specific version of Xcode:
If you develop other applications using Xcode, you might be consistently
updating to the newest version of Apple Clang, which will likely cause issues
building xrpld. You may want to install and pin a specific version of Xcode:
1. **Download Xcode**
- Visit [Apple Developer Downloads](https://developer.apple.com/download/more/)
- Sign in with your Apple Developer account
- Search for an Xcode version that includes **Apple Clang (Expected Version)**
- Search for an Xcode version that includes the expected Apple Clang version
- Download the `.xip` file
2. **Install and Configure Xcode**
2. **Install and configure Xcode**
```bash
# Extract the .xip file and rename for version management
@@ -79,62 +83,28 @@ This will likely cause issues building xrpld. You may want to install a specific
export DEVELOPER_DIR=/Applications/Xcode_16.2.app/Contents/Developer
```
The command line developer tools should include Git too:
## Windows
```
git --version
```
Nix is not available on Windows, so the required tools have to be installed
manually:
Install [Homebrew][],
use it to install [pyenv][],
use it to install Python,
and use it to install Conan:
- [Visual Studio 2022](https://visualstudio.microsoft.com/) with the
**"Desktop development with C++"** workload — this provides MSVC and the
"x64 Native Tools Command Prompt".
- [Git for Windows](https://git-scm.com/download/win)
- [Python 3.11](https://www.python.org/downloads/), or higher
- [Conan 2.17](https://conan.io/downloads.html), or higher
- [CMake 3.22](https://cmake.org/download/), or higher
[Homebrew]: https://brew.sh/
[pyenv]: https://github.com/pyenv/pyenv
```
/bin/bash -c "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/HEAD/install.sh)"
brew update
brew install xz
brew install pyenv
pyenv install 3.11
pyenv global 3.11
eval "$(pyenv init -)"
pip install 'conan'
```
Install CMake with Homebrew too:
```
brew install cmake
```
> [!NOTE]
> Windows is used for development only and is not recommended for production.
## Clang-tidy
Clang-tidy is required to run static analysis checks locally (see [CONTRIBUTING.md](../../CONTRIBUTING.md)).
It is not required to build the project. Currently this project uses clang-tidy version 21.
`clang-tidy` is required to run static analysis checks locally (see
[CONTRIBUTING.md](../../CONTRIBUTING.md)). It is not required to build the
project. This project currently uses `clang-tidy` version 22.
### Linux
LLVM 21 is not available in the default Debian 12 (Bookworm) repositories.
Install it using the official LLVM apt installer:
```
wget https://apt.llvm.org/llvm.sh
chmod +x llvm.sh
sudo ./llvm.sh 21
sudo apt install --yes clang-tidy-21
```
Then use `run-clang-tidy-21` when running clang-tidy locally.
### macOS
Install LLVM 21 via Homebrew:
```
brew install llvm@21
```
Then use `run-clang-tidy` from the LLVM 21 Homebrew prefix when running clang-tidy locally.
On Linux and macOS, the [Nix development shell](./nix.md) provides `clang-tidy`
22 out of the box — run it via `run-clang-tidy`. No separate installation is
needed.

45
docs/build/nix.md vendored
View File

@@ -2,9 +2,12 @@
This guide explains how to use Nix to set up a reproducible development environment for xrpld. Using Nix eliminates the need to manually install utilities and ensures consistent tooling across different machines.
**The Nix development shell is the recommended way to develop xrpld.** It unifies the development environment for everyone and synchronizes updates: the same tooling and compiler versions are used both here and in CI. Any custom environment (Homebrew packages or anything else) will continue to work, but then it is up to you to keep it in sync with the environment used in CI.
## Benefits of Using Nix
- **Reproducible environment**: Everyone gets the same versions of tools and compilers
- **Matches CI**: The Linux CI runs in Docker images built from this exact Nix environment
- **No system pollution**: Dependencies are isolated and don't affect your system packages
- **Multiple compiler versions**: Easily switch between different GCC and Clang versions
- **Quick setup**: Get started with a single command
@@ -28,11 +31,22 @@ This will:
- Download and set up all required development tools (CMake, Ninja, Conan, etc.)
- Configure the appropriate compiler for your platform:
- **macOS**: Apple Clang (default system compiler)
- **Linux**: GCC 15
- **Linux**: GCC 15.2 (provided by Nix)
- **macOS**: Apple Clang (your system compiler)
The first time you run this command, it will take a few minutes to download and build the environment. Subsequent runs will be much faster.
### Platform notes
- **Linux**: `nix develop` gives you a shell with all the tooling necessary to
develop xrpld and with GCC 15.2 (also provided by Nix). There are no caveats.
- **macOS**: `nix develop` gives you a full environment too. The compiler is
your system-wide Apple Clang, while every other tool — including Conan — is
provided by Nix. Conan has no binary in the Nix cache for macOS, so it is
built from source the first time you enter the shell, which makes the initial
setup slower (this is handled automatically; see
[`nix/devshell.nix`](../../nix/devshell.nix)).
> [!TIP]
> To avoid typing `--experimental-features 'nix-command flakes'` every time, you can permanently enable flakes by creating `~/.config/nix/nix.conf`:
>
@@ -51,7 +65,7 @@ The first time you run this command, it will take a few minutes to download and
A compiler can be chosen by providing its name with the `.#` prefix, e.g. `nix develop .#gcc15`.
Use `nix flake show` to see all the available development shells.
Use `nix develop .#no_compiler` to use the compiler from your system.
Use `nix develop .#no-compiler` to use the compiler from your system.
### Example Usage
@@ -68,12 +82,28 @@ nix develop
### Using a different shell
`nix develop` opens bash by default. If you want to use another shell this could be done by adding `-c` flag. For example:
`nix develop` opens bash by default. To use another shell, pass it with the `-c` flag — this works with any shell, e.g. `zsh` or `fish`:
```bash
# Use zsh
nix develop -c zsh
# Use fish
nix develop -c fish
# Use your login shell
nix develop -c "$SHELL"
```
> [!WARNING]
> Your shell's interactive startup files (e.g. `config.fish`, `.zshrc`) may prepend other directories — most commonly Homebrew — to `$PATH`, which can shadow the tools provided by the Nix shell. After entering, verify that tools resolve into the Nix store:
>
> ```bash
> command -v cmake # should print a /nix/store/... path
> ```
>
> If it doesn't, either adjust your shell configuration so it doesn't override `$PATH`, or use [direnv](#automatic-activation-with-direnv) (below), which loads the environment _after_ your shell config and so takes precedence regardless of the shell you use.
## Building xrpld with Nix
Once inside the Nix development shell, follow the standard [build instructions](../../BUILD.md#steps). The Nix shell provides all necessary tools (CMake, Ninja, Conan, etc.).
@@ -82,6 +112,8 @@ Once inside the Nix development shell, follow the standard [build instructions](
[direnv](https://direnv.net/) or [nix-direnv](https://github.com/nix-community/nix-direnv) can automatically activate the Nix development shell when you enter the repository directory.
This is also the most robust way to use the environment from **any shell** (bash, zsh, fish, …): direnv stays in your current shell and loads the environment _after_ your shell's startup files have run, so the Nix-provided tools take precedence over anything your shell configuration adds to `$PATH`. To use it, install direnv for your shell, then add an `.envrc` containing `use flake` at the repository root and run `direnv allow`.
## Conan and Prebuilt Packages
Please note that there is no guarantee that binaries from conan cache will work when using nix. If you encounter any errors, please use `--build '*'` to force conan to compile everything from source:
@@ -93,3 +125,8 @@ conan install .. --output-folder . --build '*' --settings build_type=Release
## Updating `flake.lock` file
To update `flake.lock` to the latest revision use `nix flake update` command.
## Troubleshooting
See [Troubleshooting Nix problems](./nix_troubleshooting.md) for common issues,
such as `nix develop` failing inside Git worktrees.

61
docs/build/nix_troubleshooting.md vendored Normal file
View File

@@ -0,0 +1,61 @@
# Troubleshooting Nix problems
Common issues encountered when using the [Nix development shell](./nix.md), and
how to resolve them.
## Git worktrees
If `nix develop` fails with an error like:
```
error:
… while fetching the input 'git+file:///path/to/rippled'
error: opening Git repository "/path/to/rippled": unsupported extension name extensions.relativeworktrees (libgit2 error code = 6)
```
then your Nix is linked against a libgit2 older than **1.9.4**. Git 2.48+ writes
the `extensions.relativeWorktrees` config entry when a worktree is created with
relative paths (`git worktree add --relative-paths`, or with
`worktree.useRelativePaths=true`), and older libgit2 versions refuse to open a
repository that uses it. Nix uses libgit2 to read the flake, so evaluation
fails.
> [!IMPORTANT]
> This entry is written to the **shared** repository config, so once any
> relative worktree exists, `nix develop` fails in the main checkout too — not
> just inside the worktree.
### Workarounds
These work today, with any Nix version:
- bypass libgit2 with a `path:` flakeref: `nix develop "path:$PWD"`
(note: this copies the working tree to the store and ignores `.gitignore`); or
- create worktrees with absolute paths (omit `--relative-paths`); or
- clear the extension if you don't need relative worktrees:
`git config --unset extensions.relativeWorktrees`.
### Permanent fix
The fix is in [libgit2 1.9.4](https://github.com/libgit2/libgit2/releases/tag/v1.9.4),
so the real solution is a Nix that links against libgit2 `1.9.4` or newer. Check
which version yours links against:
```bash
nix-store -qR "$(readlink -f "$(command -v nix)")" | grep libgit2
```
> [!WARNING]
> `nix upgrade-nix` does **not** help yet. It installs the build from the
> official [`nix-fallback-paths`](https://github.com/NixOS/nixpkgs/blob/master/nixos/modules/installer/tools/nix-fallback-paths.nix),
> which is still linked against libgit2 `1.9.2` — there is no new upstream Nix
> release with the fix. (On some systems that build is even the exact store path
> you already have, making the upgrade a no-op.)
nixpkgs has already rebuilt Nix against the fixed libgit2 (e.g. `nix-2.34.7+1`),
so the cleanest path is to reinstall Nix using your usual installation method
once it picks up that rebuild, then re-run the `grep libgit2` check above to
confirm it reports `1.9.4` or newer.
Until then, prefer the workarounds above.

13
flake.lock generated
View File

@@ -2,17 +2,18 @@
"nodes": {
"nixpkgs": {
"locked": {
"lastModified": 1780749050,
"narHash": "sha256-3av0pIjlOWQ6rDbNOmpUSvbNnJkGORQKKjb4LtCZsIY=",
"lastModified": 1781173989,
"narHash": "sha256-fnzKKPvS+oieI/pTzotA5tkoM47EB1NpaBcgk4R97hE=",
"owner": "NixOS",
"repo": "nixpkgs",
"rev": "a799d3e3886da994fa307f817a6bc705ae538eeb",
"rev": "8c91a71d13451abc40eb9dae8910f972f979852f",
"type": "github"
},
"original": {
"id": "nixpkgs",
"ref": "nixos-unstable",
"type": "indirect"
"owner": "NixOS",
"ref": "nixpkgs-unstable",
"repo": "nixpkgs",
"type": "github"
}
},
"nixpkgs-custom-glibc": {

View File

@@ -1,7 +1,7 @@
{
description = "Nix related things for xrpld";
inputs = {
nixpkgs.url = "nixpkgs/nixos-unstable";
nixpkgs.url = "github:NixOS/nixpkgs/nixpkgs-unstable";
# nixpkgs snapshot (2020-06-30) that shipped glibc 2.31 as the primary
# version — matches the system libc on Ubuntu 20.04 LTS. Imported
# manually (flake = false) because this revision predates nixpkgs'

View File

@@ -12,8 +12,8 @@ template <int Window, typename Clock>
class DecayingSample
{
public:
using value_type = typename Clock::duration::rep;
using time_point = typename Clock::time_point;
using value_type = Clock::duration::rep;
using time_point = Clock::time_point;
DecayingSample() = delete;
@@ -93,7 +93,7 @@ template <int HalfLife, class Clock>
class DecayWindow
{
public:
using time_point = typename Clock::time_point;
using time_point = Clock::time_point;
explicit DecayWindow(time_point now) : when_(now)
{

View File

@@ -206,8 +206,7 @@ private:
#ifndef JLOG
#define JLOG(x) \
if (!(x)) \
{ \
} \
; \
else \
x
#endif

View File

@@ -9,6 +9,7 @@
#include <xrpl/beast/insight/Insight.h>
#include <atomic>
#include <cstddef>
#include <functional>
#include <mutex>
#include <thread>
@@ -17,6 +18,22 @@
namespace xrpl {
namespace detail {
// Replace-policy tags selecting how TaggedCache::canonicalizeImpl resolves a
// collision when the key already exists (defined in TaggedCache.ipp):
// - ReplaceCached: always replace the cached value with `data`. `data` is
// never written back and may be const.
// - ReplaceClient: keep the cached value and write it back into `data` (the
// client's pointer), which must therefore be writable.
// - ReplaceDynamically: call the supplied callback to decide per call; `data`
// is written back when the cached value is kept, so it must be writable.
struct ReplaceCached;
struct ReplaceClient;
struct ReplaceDynamically;
} // namespace detail
/** Map/cache combination.
This class implements a cache and a map. The cache keeps objects alive
in the map. The map allows multiple code paths that reference objects
@@ -96,6 +113,32 @@ public:
bool
del(key_type const& key, bool valid);
private:
// Selects the `data` parameter type of canonicalizeImpl from the replace
// policy: const for detail::ReplaceCached (never written back), otherwise
// writable.
template <typename Policy>
using CanonicalizeClientPointerType = std::conditional_t<
std::is_same_v<detail::ReplaceCached, Policy>,
SharedPointerType const&,
SharedPointerType&>;
/** Shared implementation of the canonicalize family.
`policy` selects how a collision is resolved when `key` already exists:
detail::ReplaceCached, detail::ReplaceClient or
detail::ReplaceDynamically. For ReplaceDynamically `replaceCallback` is
invoked with the existing strong pointer and returns whether to replace
the cached value with `data`; for the tag policies it is unused.
*/
template <class Policy, class Callback = std::nullptr_t>
bool
canonicalizeImpl(
key_type const& key,
CanonicalizeClientPointerType<Policy> data,
Policy policy,
Callback&& replaceCallback = nullptr);
public:
/** Replace aliased objects with originals.
@@ -104,19 +147,52 @@ public:
This routine eliminates the duplicate and performs a replacement
on the callers shared pointer if needed.
`replaceCallback` is a callable taking the existing strong pointer and
returning whether to replace the cached value with `data` (true) or to
keep the cached value and write it back into `data` (false). Because the
write-back case mutates `data`, `data` must be writable.
@param key The key corresponding to the object
@param data A shared pointer to the data corresponding to the object.
@param replace Function that decides if cache should be replaced
@param replaceCallback A callable (existing strong pointer -> bool).
@return `true` If the key already existed.
*/
template <class R>
@return `true` if an existing live entry was found and used; `false` if a new entry was
inserted or an expired tracked entry was re-cached.
**/
template <class Callback>
bool
canonicalize(key_type const& key, SharedPointerType& data, R&& replaceCallback);
canonicalize(key_type const& key, SharedPointerType& data, Callback&& replaceCallback);
/** Insert/update the canonical entry for `key`, always replacing the
cached value with `data`.
If an entry already exists for `key`, the cached value is unconditionally
replaced with `data`; otherwise `data` is inserted. `data` is never
written back, so it may be const.
@param key The key corresponding to the object.
@param data A shared pointer to the data corresponding to the object.
@return `true` if an existing live entry was found and used; `false` if a new entry was
inserted or an expired tracked entry was re-cached.
**/
bool
canonicalizeReplaceCache(key_type const& key, SharedPointerType const& data);
/** Insert the canonical entry for `key`, keeping any existing cached value.
If an entry already exists for `key`, the cached value is kept and
written back into `data` so the caller ends up with the canonical
object; otherwise `data` is inserted. Because `data` may be overwritten
it must be writable.
@param key The key corresponding to the object.
@param data A shared pointer to the data corresponding to the object;
updated to the canonical value when one already exists.
@return `true` if an existing live entry was found and used; `false` if a new entry was
inserted or an expired tracked entry was re-cached.
**/
bool
canonicalizeReplaceClient(key_type const& key, SharedPointerType& data);
@@ -262,7 +338,7 @@ private:
sweepHelper(
clock_type::time_point const& whenExpire,
[[maybe_unused]] clock_type::time_point const& now,
typename KeyValueCacheType::map_type& partition,
KeyValueCacheType::map_type& partition,
SweptPointersVector& stuffToSweep,
std::atomic<int>& allRemovals,
std::scoped_lock<std::recursive_mutex> const&);
@@ -271,7 +347,7 @@ private:
sweepHelper(
clock_type::time_point const& whenExpire,
clock_type::time_point const& now,
typename KeyOnlyCacheType::map_type& partition,
KeyOnlyCacheType::map_type& partition,
SweptPointersVector&,
std::atomic<int>& allRemovals,
std::scoped_lock<std::recursive_mutex> const&);

View File

@@ -5,6 +5,30 @@
namespace xrpl {
namespace detail {
// Replace-policy tags selecting how TaggedCache::canonicalizeImpl resolves a
// collision when the key already exists:
// - ReplaceCached: always replace the cached value with `data`. `data` is
// never written back and may be const.
// - ReplaceClient: keep the cached value and write it back into `data` (the
// client's pointer), which must therefore be writable.
// - ReplaceDynamically: call the supplied callback to decide per call; `data`
// is written back when the cached value is kept, so it must be writable.
struct ReplaceCached
{
};
struct ReplaceClient
{
};
struct ReplaceDynamically
{
};
} // namespace detail
template <
class Key,
class T,
@@ -300,13 +324,29 @@ template <
class Hash,
class KeyEqual,
class Mutex>
template <class R>
template <class Policy, class Callback>
inline bool
TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash, KeyEqual, Mutex>::
canonicalize(key_type const& key, SharedPointerType& data, R&& replaceCallback)
canonicalizeImpl(
key_type const& key,
CanonicalizeClientPointerType<Policy> data,
[[maybe_unused]] Policy policy,
[[maybe_unused]] Callback&& replaceCallback)
{
// Return canonical value, store if needed, refresh in cache
// Return values: true=we had the data already
// `Policy` is one of:
// - detail::ReplaceCached: always replace the cached value with `data`;
// `data` is never written back and may be const.
// - detail::ReplaceClient: keep the cached value and write it back into
// `data` (the client's pointer), which must therefore be writable.
// - detail::ReplaceDynamically: call `replaceCallback` to decide at run
// time; `data` must be writable.
// For the latter two the write-back below requires a mutable `data`, so
// passing a const argument is a compile error.
constexpr bool replaceCached = std::is_same_v<Policy, detail::ReplaceCached>;
std::scoped_lock const lock(mutex_);
auto cit = cache_.find(key);
@@ -324,13 +364,14 @@ TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash,
Entry& entry = cit->second;
entry.touch(clock_.now());
auto shouldReplace = [&] {
if constexpr (std::is_invocable_r_v<bool, R>)
auto shouldReplaceCached = [&] {
if constexpr (replaceCached)
{
// The reason for this extra complexity is for intrusive
// strong/weak combo getting a strong is relatively expensive
// and not needed for many cases.
return replaceCallback();
return true;
}
else if constexpr (std::is_same_v<Policy, detail::ReplaceClient>)
{
return false;
}
else
{
@@ -340,11 +381,11 @@ TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash,
if (entry.isCached())
{
if (shouldReplace())
if (shouldReplaceCached())
{
entry.ptr = data;
}
else
else if constexpr (!replaceCached)
{
data = entry.ptr.getStrong();
}
@@ -356,11 +397,11 @@ TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash,
if (cachedData)
{
if (shouldReplace())
if (shouldReplaceCached())
{
entry.ptr = data;
}
else
else if constexpr (!replaceCached)
{
entry.ptr.convertToStrong();
data = cachedData;
@@ -376,6 +417,24 @@ TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash,
return false;
}
template <
class Key,
class T,
bool IsKeyCache,
class SharedWeakUnionPointer,
class SharedPointerType,
class Hash,
class KeyEqual,
class Mutex>
template <class Callback>
inline bool
TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash, KeyEqual, Mutex>::
canonicalize(key_type const& key, SharedPointerType& data, Callback&& replaceCallback)
{
return canonicalizeImpl(
key, data, detail::ReplaceDynamically{}, std::forward<Callback>(replaceCallback));
}
template <
class Key,
class T,
@@ -389,7 +448,7 @@ inline bool
TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash, KeyEqual, Mutex>::
canonicalizeReplaceCache(key_type const& key, SharedPointerType const& data)
{
return canonicalize(key, const_cast<SharedPointerType&>(data), []() { return true; });
return canonicalizeImpl(key, data, detail::ReplaceCached{});
}
template <
@@ -405,7 +464,7 @@ inline bool
TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash, KeyEqual, Mutex>::
canonicalizeReplaceClient(key_type const& key, SharedPointerType& data)
{
return canonicalize(key, data, []() { return false; });
return canonicalizeImpl(key, data, detail::ReplaceClient{});
}
template <
@@ -676,7 +735,7 @@ TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash,
sweepHelper(
clock_type::time_point const& whenExpire,
[[maybe_unused]] clock_type::time_point const& now,
typename KeyValueCacheType::map_type& partition,
KeyValueCacheType::map_type& partition,
SweptPointersVector& stuffToSweep,
std::atomic<int>& allRemovals,
std::scoped_lock<std::recursive_mutex> const&)
@@ -756,7 +815,7 @@ TaggedCache<Key, T, IsKeyCache, SharedWeakUnionPointer, SharedPointerType, Hash,
sweepHelper(
clock_type::time_point const& whenExpire,
clock_type::time_point const& now,
typename KeyOnlyCacheType::map_type& partition,
KeyOnlyCacheType::map_type& partition,
SweptPointersVector&,
std::atomic<int>& allRemovals,
std::scoped_lock<std::recursive_mutex> const&)

View File

@@ -75,7 +75,7 @@ private:
detail::seed_pair seeds_{detail::makeSeedPair<>()};
public:
using result_type = typename HashAlgorithm::result_type;
using result_type = HashAlgorithm::result_type;
HardenedHash() = default;

View File

@@ -57,8 +57,8 @@ public:
{
using iterator_category = std::forward_iterator_tag;
partition_map_type* map{nullptr};
typename partition_map_type::iterator ait{};
typename map_type::iterator mit;
partition_map_type::iterator ait{};
map_type::iterator mit;
Iterator() = default;
@@ -126,8 +126,8 @@ public:
using iterator_category = std::forward_iterator_tag;
partition_map_type* map{nullptr};
typename partition_map_type::iterator ait{};
typename map_type::iterator mit;
partition_map_type::iterator ait{};
map_type::iterator mit;
ConstIterator() = default;

View File

@@ -29,6 +29,7 @@ static_assert(
namespace detail {
// Determines if a type can be called like an Engine
// NOLINTNEXTLINE(readability-redundant-typename): typename required by MSVC
template <class Engine, class Result = typename Engine::result_type>
using is_engine = std::is_invocable_r<Result, Engine>;
} // namespace detail

View File

@@ -1,29 +0,0 @@
#pragma once
#if XRPL_ROCKSDB_AVAILABLE
// #include <rocksdb2/port/port_posix.h>
#include <rocksdb/cache.h>
#include <rocksdb/compaction_filter.h>
#include <rocksdb/comparator.h>
#include <rocksdb/convenience.h>
#include <rocksdb/db.h>
#include <rocksdb/env.h>
#include <rocksdb/filter_policy.h>
#include <rocksdb/flush_block_policy.h>
#include <rocksdb/iterator.h>
#include <rocksdb/memtablerep.h>
#include <rocksdb/merge_operator.h>
#include <rocksdb/options.h>
#include <rocksdb/perf_context.h>
#include <rocksdb/slice.h>
#include <rocksdb/slice_transform.h>
#include <rocksdb/statistics.h>
#include <rocksdb/status.h>
#include <rocksdb/table.h>
#include <rocksdb/table_properties.h>
#include <rocksdb/transaction_log.h>
#include <rocksdb/types.h>
#include <rocksdb/universal_compaction.h>
#include <rocksdb/write_batch.h>
#endif

View File

@@ -4,7 +4,7 @@
/*
ASAN flags some false positives with sudden jumps in control flow, like
exceptions, or when encountering coroutine stack switches. This macro can be used to disable ASAN
intrumentation for specific functions.
instrumentation for specific functions.
*/
#if defined(__GNUC__) || defined(__clang__)
#define XRPL_NO_SANITIZE_ADDRESS __attribute__((no_sanitize("address", "hwaddress")))

View File

@@ -18,8 +18,8 @@ template <class Clock>
class IOLatencyProbe
{
private:
using duration = typename Clock::duration;
using time_point = typename Clock::time_point;
using duration = Clock::duration;
using time_point = Clock::time_point;
std::recursive_mutex mutex_;
std::condition_variable_any cond_;

View File

@@ -34,10 +34,10 @@ template <class Clock>
class AbstractClock
{
public:
using rep = typename Clock::rep;
using period = typename Clock::period;
using duration = typename Clock::duration;
using time_point = typename Clock::time_point;
using rep = Clock::rep;
using period = Clock::period;
using duration = Clock::duration;
using time_point = Clock::time_point;
using clock_type = Clock;
static bool const is_steady = Clock::is_steady; // NOLINT(readability-identifier-naming)

View File

@@ -20,10 +20,10 @@ public:
explicit BasicSecondsClock() = default;
using rep = typename Clock::rep;
using period = typename Clock::period;
using duration = typename Clock::duration;
using time_point = typename Clock::time_point;
using rep = Clock::rep;
using period = Clock::period;
using duration = Clock::duration;
using time_point = Clock::time_point;
static bool const is_steady = // NOLINT(readability-identifier-naming)
Clock::is_steady;

View File

@@ -16,15 +16,15 @@ template <bool IsConst, class Iterator>
class AgedContainerIterator
{
public:
using iterator_category = typename std::iterator_traits<Iterator>::iterator_category;
using iterator_category = std::iterator_traits<Iterator>::iterator_category;
using value_type = std::conditional_t<
IsConst,
typename Iterator::value_type::Stashed::value_type const,
typename Iterator::value_type::Stashed::value_type>;
using difference_type = typename std::iterator_traits<Iterator>::difference_type;
using difference_type = std::iterator_traits<Iterator>::difference_type;
using pointer = value_type*;
using reference = value_type&;
using time_point = typename Iterator::value_type::Stashed::time_point;
using time_point = Iterator::value_type::Stashed::time_point;
AgedContainerIterator() = default;

View File

@@ -62,8 +62,8 @@ class AgedOrderedContainer
{
public:
using clock_type = AbstractClock<Clock>;
using time_point = typename clock_type::time_point;
using duration = typename clock_type::duration;
using time_point = clock_type::time_point;
using duration = clock_type::duration;
using key_type = Key;
using mapped_type = T;
using value_type = std::conditional_t<IsMap, std::pair<Key const, T>, Key>;
@@ -94,8 +94,8 @@ private:
{
explicit Stashed() = default;
using value_type = typename AgedOrderedContainer::value_type;
using time_point = typename AgedOrderedContainer::time_point;
using value_type = AgedOrderedContainer::value_type;
using time_point = AgedOrderedContainer::time_point;
};
Element(time_point const& when, value_type const& value) : value(value), when(when)
@@ -192,8 +192,8 @@ private:
}
};
using list_type = typename boost::intrusive::
make_list<Element, boost::intrusive::constant_time_size<false>>::type;
using list_type =
boost::intrusive::make_list<Element, boost::intrusive::constant_time_size<false>>::type;
using cont_type = std::conditional_t<
IsMulti,
@@ -206,8 +206,7 @@ private:
boost::intrusive::constant_time_size<true>,
boost::intrusive::compare<KeyValueCompare>>::type>;
using ElementAllocator =
typename std::allocator_traits<Allocator>::template rebind_alloc<Element>;
using ElementAllocator = std::allocator_traits<Allocator>::template rebind_alloc<Element>;
using ElementAllocatorTraits = std::allocator_traits<ElementAllocator>;
@@ -373,8 +372,8 @@ public:
using allocator_type = Allocator;
using reference = value_type&;
using const_reference = value_type const&;
using pointer = typename std::allocator_traits<Allocator>::pointer;
using const_pointer = typename std::allocator_traits<Allocator>::const_pointer;
using pointer = std::allocator_traits<Allocator>::pointer;
using const_pointer = std::allocator_traits<Allocator>::const_pointer;
// A set iterator (IsMap==false) is always const
// because the elements of a set are immutable.
@@ -617,7 +616,7 @@ public:
bool MaybeMulti = IsMulti,
bool MaybeMap = IsMap,
class = std::enable_if_t<MaybeMap && !MaybeMulti>>
typename std::conditional<IsMap, T, void*>::type const&
std::conditional<IsMap, T, void*>::type const&
at(K const& k) const;
template <
@@ -1146,7 +1145,7 @@ private:
void
touch(
beast::detail::AgedContainerIterator<IsConst, Iterator> pos,
typename clock_type::time_point const& now);
clock_type::time_point const& now);
template <
bool MaybePropagate = std::allocator_traits<Allocator>::propagate_on_container_swap::value>
@@ -1393,7 +1392,7 @@ AgedOrderedContainer<IsMulti, IsMap, Key, T, Clock, Compare, Allocator>::at(K co
template <bool IsMulti, bool IsMap, class Key, class T, class Clock, class Compare, class Allocator>
template <class K, bool MaybeMulti, bool MaybeMap, class>
typename std::conditional<IsMap, T, void*>::type const&
std::conditional<IsMap, T, void*>::type const&
AgedOrderedContainer<IsMulti, IsMap, Key, T, Clock, Compare, Allocator>::at(K const& k) const
{
auto const iter(cont_.find(k, std::cref(config_.keyCompare())));
@@ -1732,7 +1731,7 @@ AgedOrderedContainer<IsMulti, IsMap, Key, T, Clock, Compare, Allocator>::operato
cend(),
other.cbegin(),
other.cend(),
[&eq, &other](value_type const& lhs, typename Other::value_type const& rhs) {
[&eq, &other](value_type const& lhs, Other::value_type const& rhs) {
return eq(extract(lhs), other.extract(rhs));
});
}
@@ -1744,7 +1743,7 @@ template <bool IsConst, class Iterator, class>
void
AgedOrderedContainer<IsMulti, IsMap, Key, T, Clock, Compare, Allocator>::touch(
beast::detail::AgedContainerIterator<IsConst, Iterator> pos,
typename clock_type::time_point const& now)
clock_type::time_point const& now)
{
auto& e(*pos.iterator());
e.when = now;

View File

@@ -67,8 +67,8 @@ class AgedUnorderedContainer
{
public:
using clock_type = AbstractClock<Clock>;
using time_point = typename clock_type::time_point;
using duration = typename clock_type::duration;
using time_point = clock_type::time_point;
using duration = clock_type::duration;
using key_type = Key;
using mapped_type = T;
using value_type = std::conditional_t<IsMap, std::pair<Key const, T>, Key>;
@@ -99,8 +99,8 @@ private:
{
explicit Stashed() = default;
using value_type = typename AgedUnorderedContainer::value_type;
using time_point = typename AgedUnorderedContainer::time_point;
using value_type = AgedUnorderedContainer::value_type;
using time_point = AgedUnorderedContainer::time_point;
};
Element(time_point const& when, value_type const& value) : value(value), when(when)
@@ -201,8 +201,8 @@ private:
}
};
using list_type = typename boost::intrusive::
make_list<Element, boost::intrusive::constant_time_size<false>>::type;
using list_type =
boost::intrusive::make_list<Element, boost::intrusive::constant_time_size<false>>::type;
using cont_type = std::conditional_t<
IsMulti,
@@ -219,16 +219,14 @@ private:
boost::intrusive::equal<KeyValueEqual>,
boost::intrusive::cache_begin<true>>::type>;
using bucket_type = typename cont_type::bucket_type;
using bucket_traits = typename cont_type::bucket_traits;
using bucket_type = cont_type::bucket_type;
using bucket_traits = cont_type::bucket_traits;
using ElementAllocator =
typename std::allocator_traits<Allocator>::template rebind_alloc<Element>;
using ElementAllocator = std::allocator_traits<Allocator>::template rebind_alloc<Element>;
using ElementAllocatorTraits = std::allocator_traits<ElementAllocator>;
using BucketAllocator =
typename std::allocator_traits<Allocator>::template rebind_alloc<Element>;
using BucketAllocator = std::allocator_traits<Allocator>::template rebind_alloc<Element>;
using BucketAllocatorTraits = std::allocator_traits<BucketAllocator>;
@@ -542,8 +540,8 @@ public:
using allocator_type = Allocator;
using reference = value_type&;
using const_reference = value_type const&;
using pointer = typename std::allocator_traits<Allocator>::pointer;
using const_pointer = typename std::allocator_traits<Allocator>::const_pointer;
using pointer = std::allocator_traits<Allocator>::pointer;
using const_pointer = std::allocator_traits<Allocator>::const_pointer;
// A set iterator (IsMap==false) is always const
// because the elements of a set are immutable.
@@ -850,7 +848,7 @@ public:
bool MaybeMulti = IsMulti,
bool MaybeMap = IsMap,
class = std::enable_if_t<MaybeMap && !MaybeMulti>>
typename std::conditional<IsMap, T, void*>::type const&
std::conditional<IsMap, T, void*>::type const&
at(K const& k) const;
template <
@@ -1414,7 +1412,7 @@ private:
void
touch(
beast::detail::AgedContainerIterator<IsConst, Iterator> pos,
typename clock_type::time_point const& now)
clock_type::time_point const& now)
{
auto& e(*pos.iterator());
e.when = now;
@@ -2111,7 +2109,7 @@ template <
class KeyEqual,
class Allocator>
template <class K, bool MaybeMulti, bool MaybeMap, class>
typename std::conditional<IsMap, T, void*>::type const&
std::conditional<IsMap, T, void*>::type const&
AgedUnorderedContainer<IsMulti, IsMap, Key, T, Clock, Hash, KeyEqual, Allocator>::at(
K const& k) const
{

View File

@@ -24,7 +24,7 @@ struct CopyConst<T const, U>
{
explicit CopyConst() = default;
using type = typename std::remove_const<U>::type const;
using type = std::remove_const<U>::type const;
};
/** @} */
@@ -56,7 +56,7 @@ class ListIterator
{
public:
using iterator_category = std::bidirectional_iterator_tag;
using value_type = typename beast::detail::CopyConst<N, typename N::value_type>::type;
using value_type = beast::detail::CopyConst<N, typename N::value_type>::type;
using difference_type = std::ptrdiff_t;
using pointer = value_type*;
using reference = value_type&;
@@ -259,7 +259,7 @@ template <typename T, typename Tag = void>
class List
{
public:
using Node = typename detail::ListNode<T, Tag>;
using Node = detail::ListNode<T, Tag>;
using value_type = T;
using pointer = value_type*;

View File

@@ -12,13 +12,13 @@ template <class Container, bool IsConst>
class LockFreeStackIterator
{
protected:
using Node = typename Container::Node;
using Node = Container::Node;
using NodePtr = std::conditional_t<IsConst, Node const*, Node*>;
public:
using iterator_category = std::forward_iterator_tag;
using value_type = typename Container::value_type;
using difference_type = typename Container::difference_type;
using value_type = Container::value_type;
using difference_type = Container::difference_type;
using pointer =
std::conditional_t<IsConst, typename Container::const_pointer, typename Container::pointer>;
using reference = std::

View File

@@ -11,7 +11,7 @@ struct Uhash
{
Uhash() = default;
using result_type = typename Hasher::result_type;
using result_type = Hasher::result_type;
template <class T>
result_type

View File

@@ -102,7 +102,7 @@ Result
split(FwdIt first, FwdIt last, Char delim)
{
using namespace detail;
using string = typename Result::value_type;
using string = Result::value_type;
Result result;

View File

@@ -32,11 +32,11 @@ protected:
}
public:
using value_type = typename cont_type::value_type;
using size_type = typename cont_type::size_type;
using difference_type = typename cont_type::difference_type;
using iterator = typename cont_type::const_iterator;
using const_iterator = typename cont_type::const_iterator;
using value_type = cont_type::value_type;
using size_type = cont_type::size_type;
using difference_type = cont_type::difference_type;
using iterator = cont_type::const_iterator;
using const_iterator = cont_type::const_iterator;
/** Returns `true` if the container is empty. */
[[nodiscard]] bool

View File

@@ -48,7 +48,7 @@ private:
std::size_t cases = 0;
std::size_t total = 0;
std::size_t failed = 0;
typename clock_type::time_point start = clock_type::now();
clock_type::time_point start = clock_type::now();
explicit SuiteResults(std::string name = "") : name(std::move(name))
{
@@ -60,7 +60,7 @@ private:
struct Results
{
using run_time = std::pair<std::string, typename clock_type::duration>;
using run_time = std::pair<std::string, clock_type::duration>;
static constexpr auto kMaxTop = 10;
@@ -69,7 +69,7 @@ private:
std::size_t total = 0;
std::size_t failed = 0;
std::vector<run_time> top;
typename clock_type::time_point start = clock_type::now();
clock_type::time_point start = clock_type::now();
void
add(SuiteResults const& r);
@@ -91,7 +91,7 @@ public:
private:
static std::string
fmtdur(typename clock_type::duration const& d);
fmtdur(clock_type::duration const& d);
void
onSuiteBegin(SuiteInfo const& info) override;
@@ -141,9 +141,7 @@ Reporter<Unused>::Results::add(SuiteResults const& r)
top.begin(),
top.end(),
elapsed,
[](run_time const& t1, typename clock_type::duration const& t2) {
return t1.second > t2;
});
[](run_time const& t1, clock_type::duration const& t2) { return t1.second > t2; });
if (iter != top.end())
{
if (top.size() == kMaxTop)
@@ -181,7 +179,7 @@ Reporter<Unused>::~Reporter()
template <class Unused>
std::string
Reporter<Unused>::fmtdur(typename clock_type::duration const& d)
Reporter<Unused>::fmtdur(clock_type::duration const& d)
{
using namespace std::chrono;
auto const ms = duration_cast<milliseconds>(d);

View File

@@ -411,9 +411,9 @@ class BasicLogstream : public std::basic_ostream<CharT, Traits>
{
using char_type = CharT;
using traits_type = Traits;
using int_type = typename traits_type::int_type;
using pos_type = typename traits_type::pos_type;
using off_type = typename traits_type::off_type;
using int_type = traits_type::int_type;
using pos_type = traits_type::pos_type;
using off_type = traits_type::off_type;
detail::LogStreamBuf<CharT, Traits> buf_;

View File

@@ -15,6 +15,6 @@ struct MaybeConst
/** Alias for omitting `typename`. */
template <bool IsConst, class T>
using maybe_const_t = typename MaybeConst<IsConst, T>::type;
using maybe_const_t = MaybeConst<IsConst, T>::type;
} // namespace beast

View File

@@ -13,7 +13,7 @@ template <class Generator>
void
rngfill(void* const buffer, std::size_t const bytes, Generator& g)
{
using result_type = typename Generator::result_type;
using result_type = Generator::result_type;
constexpr std::size_t kResultSize = sizeof(result_type);
std::uint8_t* const bufferStart = static_cast<std::uint8_t*>(buffer);
@@ -42,7 +42,7 @@ template <
void
rngfill(std::array<std::uint8_t, N>& a, Generator& g)
{
using result_type = typename Generator::result_type;
using result_type = Generator::result_type;
auto i = N / sizeof(result_type);
result_type* p = reinterpret_cast<result_type*>(a.data());
while (i--)

View File

@@ -566,6 +566,7 @@ public:
using SelfType = ValueConstIterator;
ValueConstIterator() = default;
ValueConstIterator(ValueConstIterator const& other) = default;
private:
/*! \internal Use by Value to create an iterator.
@@ -574,12 +575,12 @@ private:
public:
SelfType&
operator=(ValueIteratorBase const& other);
operator=(SelfType const& other);
SelfType
operator++(int)
{
SelfType temp(*this);
SelfType const temp(*this);
++*this;
return temp;
}
@@ -587,7 +588,7 @@ public:
SelfType
operator--(int)
{
SelfType temp(*this);
SelfType const temp(*this);
--*this;
return temp;
}

View File

@@ -1,49 +0,0 @@
#pragma once
#include <xrpl/protocol/MultiApiJson.h>
#include <xrpl/server/InfoSub.h>
#include <memory>
#include <mutex>
namespace xrpl {
/** Listen to public/subscribe messages from a book. */
class BookListeners
{
public:
using pointer = std::shared_ptr<BookListeners>;
BookListeners() = default;
/** Add a new subscription for this book
*/
void
addSubscriber(InfoSub::ref sub);
/** Stop publishing to a subscriber
*/
void
removeSubscriber(std::uint64_t sub);
/** Publish a transaction to subscribers
Publish a transaction to clients subscribed to changes on this book.
Uses havePublished to prevent sending duplicate transactions to clients
that have subscribed to multiple books.
@param jvObj JSON transaction data to publish
@param havePublished InfoSub sequence numbers that have already
published this transaction.
*/
void
publish(MultiApiJson const& jvObj, hash_set<std::uint64_t>& havePublished);
private:
std::recursive_mutex lock_;
hash_map<std::uint64_t, InfoSub::wptr> listeners_;
};
} // namespace xrpl

View File

@@ -1,11 +1,11 @@
#pragma once
#include <xrpl/basics/UnorderedContainers.h>
#include <xrpl/beast/utility/Journal.h>
#include <xrpl/ledger/AcceptedLedgerTx.h>
#include <xrpl/ledger/BookListeners.h>
#include <xrpl/ledger/ReadView.h>
#include <xrpl/protocol/Asset.h>
#include <xrpl/protocol/Book.h>
#include <xrpl/protocol/MultiApiJson.h>
#include <xrpl/protocol/UintTypes.h>
#include <memory>
@@ -77,34 +77,24 @@ public:
*/
virtual bool
isBookToXRP(Asset const& asset, std::optional<Domain> const& domain = std::nullopt) = 0;
/**
* Process a transaction for order book tracking.
* @param ledger The ledger the transaction was applied to
* @param alTx The transaction to process
* @param jvObj The JSON object of the transaction
*/
virtual void
processTxn(
std::shared_ptr<ReadView const> const& ledger,
AcceptedLedgerTx const& alTx,
MultiApiJson const& jvObj) = 0;
/**
* Get the book listeners for a book.
* @param book The book to get the listeners for
* @return The book listeners for the book
*/
virtual BookListeners::pointer
getBookListeners(Book const&) = 0;
/**
* Create a new book listeners for a book.
* @param book The book to create the listeners for
* @return The new book listeners for the book
*/
virtual BookListeners::pointer
makeBookListeners(Book const&) = 0;
};
/** Extract the set of books affected by a transaction.
*
* Walks the transaction's metadata nodes and collects every order book
* whose offers were created, modified, or deleted. Used by NetworkOPs to
* fan transaction notifications out to book subscribers.
*
* @param alTx The accepted ledger transaction to inspect.
* @param j Journal used to log per-node parsing failures. Inspecting an
* offer node can throw if a required field is missing; in that
* case the bad node is skipped and a warn-level message is
* emitted via @p j. Other affected books in the same transaction
* are still returned.
* @return The set of books whose offers were created, modified, or
* deleted. May be empty for non-offer transactions.
*/
hash_set<Book>
affectedBooks(AcceptedLedgerTx const& alTx, beast::Journal const& j);
} // namespace xrpl

View File

@@ -37,6 +37,8 @@ reduceOffer(auto const& amount)
enum class IsDeposit : bool { No = false, Yes = true };
inline Number const kAMMInvariantRelativeTolerance{1, -11};
/** Calculate LP Tokens given AMM pool reserves.
* @param asset1 AMM one side of the pool reserve
* @param asset2 AMM another side of the pool reserve
@@ -738,6 +740,30 @@ ammPoolHolds(
AuthHandling authHandling,
beast::Journal const j);
/** Check AMM pool product invariant after an AMM operation that changes LP tokens
* (deposit/withdraw/clawback) from an already calculated pool product mean.
* Returns tecPRECISION_LOSS if poolProductMean < newLPTokenBalance beyond the
* invariant tolerance,
* tesSUCCESS otherwise. Skips check when newLPTokenBalance is zero (last withdrawal).
*/
TER
checkAMMPrecisionLoss(Number const& poolProductMean, STAmount const& newLPTokenBalance);
/** Check AMM pool product invariant after an AMM operation that changes LP tokens
* (deposit/withdraw/clawback).
* Returns tecPRECISION_LOSS if sqrt(asset1 * asset2) < newLPTokenBalance beyond
* the invariant tolerance,
* tesSUCCESS otherwise. Skips check when newLPTokenBalance is zero (last withdrawal).
*/
TER
checkAMMPrecisionLoss(
ReadView const& view,
AccountID const& ammAccountID,
Asset const& asset1,
Asset const& asset2,
STAmount const& newLPTokenBalance,
beast::Journal const j);
/** Get AMM pool and LP token balances. If both optIssue are
* provided then they are used as the AMM token pair issues.
* Otherwise the missing issues are fetched from ammSle.

View File

@@ -36,13 +36,13 @@ checkFields(STTx const& tx, beast::Journal j);
TER
valid(STTx const& tx, ReadView const& view, AccountID const& src, beast::Journal j);
// Check if subject has any credential maching the given domain. If you call it
// Check if subject has any credential matching the given domain. If you call it
// in preclaim and it returns tecEXPIRED, you should call verifyValidDomain in
// doApply. This will ensure that expired credentials are deleted.
TER
validDomain(ReadView const& view, uint256 domainID, AccountID const& subject);
// This function is only called when we about to return tecNO_PERMISSION
// This function is only called when we are about to return tecNO_PERMISSION
// because all the checks for the DepositPreauth authorization failed.
TER
authorizedDepositPreauth(ReadView const& view, STVector256 const& ctx, AccountID const& dst);
@@ -58,7 +58,7 @@ checkArray(STArray const& credentials, unsigned maxSize, beast::Journal j);
} // namespace credentials
// Check expired credentials and for credentials maching DomainID of the ledger
// Check expired credentials and for credentials matching DomainID of the ledger
// object
TER
verifyValidDomain(ApplyView& view, AccountID const& account, uint256 domainID, beast::Journal j);

View File

@@ -23,13 +23,9 @@ checkTxPermission(SLE::const_ref delegate, STTx const& tx);
* @param delegate The delegate account.
* @param type Used to determine which granted granular permissions to load,
* based on the transaction type.
* @param granularPermissions Granted granular permissions tied to the
* transaction type.
* @return the granted granular permissions tied to the transaction type.
*/
void
loadGranularPermission(
SLE::const_ref delegate,
TxType const& type,
std::unordered_set<GranularPermissionType>& granularPermissions);
std::unordered_set<GranularPermissionType>
getGranularPermission(SLE::const_ref delegate, TxType const& type);
} // namespace xrpl

View File

@@ -42,7 +42,7 @@ escrowUnlockApplyHelper<Issue>(
beast::Journal journal)
{
Issue const& issue = amount.get<Issue>();
Keylet const trustLineKey = keylet::line(receiver, issue);
Keylet const trustLineKey = keylet::trustLine(receiver, issue);
bool const recvLow = issuer > receiver;
bool const senderIssuer = issuer == sender;
bool const receiverIssuer = issuer == receiver;
@@ -175,7 +175,7 @@ escrowUnlockApplyHelper<MPTIssue>(
bool const receiverIssuer = issuer == receiver;
auto const mptID = amount.get<MPTIssue>().getMptID();
auto const issuanceKey = keylet::mptIssuance(mptID);
auto const issuanceKey = keylet::mptokenIssuance(mptID);
if (!view.exists(keylet::mptoken(issuanceKey.key, receiver)) && createAsset && !receiverIssuer)
{
if (std::uint32_t const ownerCount = {sleDest->at(sfOwnerCount)};

View File

@@ -5,9 +5,45 @@
#include <xrpl/protocol/TER.h>
#include <xrpl/protocol/UintTypes.h>
#include <cstdint>
#include <memory>
#include <optional>
namespace xrpl {
/** Close a payment channel and return its remaining funds to the channel owner.
*
* @param slep The SLE for the PayChannel object to close.
* @param view The apply view in which ledger state modifications are made.
* @param key The ledger key identifying the PayChannel entry.
* @param j Journal used for fatal-level diagnostic messages.
* @return tesSUCCESS on success; tefBAD_LEDGER if a directory removal
* fails; tefINTERNAL if the source account SLE cannot be found.
*/
TER
closeChannel(SLE::ref slep, ApplyView& view, uint256 const& key, beast::Journal j);
/** Add two uint32_t values with saturation at UINT32_MAX.
*
* @param rules The current ledger rules used to check amendment status.
* @param lhs Left-hand operand.
* @param rhs Right-hand operand.
* @return @p lhs + @p rhs, saturated at UINT32_MAX when the amendment
* is active.
*/
uint32_t
saturatingAdd(Rules const& rules, uint32_t const lhs, uint32_t const rhs);
/** Determine whether a payment channel time field represents an expired time.
*
* @param view The apply view providing the parent close time and rules.
* @param timeField The optional expiry timestamp (seconds since the XRP
* Ledger epoch). If empty, the function returns false.
* @return @c true if @p timeField is set and the indicated time is
* in the past relative to the view's parent close time;
* @c false otherwise.
*/
bool
isChannelExpired(ApplyView const& view, std::optional<std::uint32_t> timeField);
} // namespace xrpl

View File

@@ -1,4 +1,5 @@
#pragma once
#include <xrpl/ledger/View.h>
namespace xrpl::permissioned_dex {

View File

@@ -102,25 +102,32 @@ getAPIVersionNumber(json::Value const& jv, bool betaEnabled)
json::Value const maxVersion(
betaEnabled ? RPC::kApiBetaVersion : RPC::kApiMaximumSupportedVersion);
if (jv.isObject())
if (!jv.isObject() || !jv.isMember(jss::api_version))
return RPC::kApiVersionIfUnspecified;
try
{
if (jv.isMember(jss::api_version))
auto const& rawVersion = jv[jss::api_version];
switch (rawVersion.type())
{
auto const specifiedVersion = jv[jss::api_version];
if (!specifiedVersion.isInt() && !specifiedVersion.isUInt())
{
return RPC::kApiInvalidVersion;
case json::ValueType::Int:
if (rawVersion.asInt() < 0)
return RPC::kApiInvalidVersion;
[[fallthrough]];
case json::ValueType::UInt: {
auto const apiVersion = rawVersion.asUInt();
if (apiVersion < kMinVersion || apiVersion > maxVersion)
return RPC::kApiInvalidVersion;
return apiVersion;
}
auto const specifiedVersionInt = specifiedVersion.asInt();
if (specifiedVersionInt < kMinVersion || specifiedVersionInt > maxVersion)
{
default:
return RPC::kApiInvalidVersion;
}
return specifiedVersionInt;
}
}
return RPC::kApiVersionIfUnspecified;
catch (...)
{
return RPC::kApiInvalidVersion;
}
}
} // namespace RPC

View File

@@ -1,3 +1,5 @@
#pragma once
#include <xrpl/protocol/HashPrefix.h>
#include <xrpl/protocol/STVector256.h>
#include <xrpl/protocol/Serializer.h>

View File

@@ -68,21 +68,15 @@ skip(LedgerIndex ledger) noexcept;
/** The (fixed) index of the object containing the ledger fees. */
Keylet const&
fees() noexcept;
feeSettings() noexcept;
/** The (fixed) index of the object containing the ledger negativeUNL. */
Keylet const&
negativeUNL() noexcept;
/** The beginning of an order book */
struct BookT
{
explicit BookT() = default;
Keylet
operator()(Book const& b) const;
};
static BookT const kBook{};
Keylet
book(Book const& b);
/** The index of a trust line for a given currency
@@ -93,12 +87,12 @@ static BookT const kBook{};
*/
/** @{ */
Keylet
line(AccountID const& id0, AccountID const& id1, Currency const& currency) noexcept;
trustLine(AccountID const& id0, AccountID const& id1, Currency const& currency) noexcept;
inline Keylet
line(AccountID const& id, Issue const& issue) noexcept
trustLine(AccountID const& id, Issue const& issue) noexcept
{
return line(id, issue.account, issue.currency);
return trustLine(id, issue.account, issue.currency);
}
/** @} */
@@ -119,37 +113,27 @@ Keylet
quality(Keylet const& k, std::uint64_t q) noexcept;
/** The directory for the next lower quality */
struct NextT
{
explicit NextT() = default;
Keylet
operator()(Keylet const& k) const;
};
static NextT const kNext{};
Keylet
next(Keylet const& k);
/** A ticket belonging to an account */
struct TicketT
/** @{ */
Keylet
ticket(AccountID const& id, std::uint32_t ticketSeq);
Keylet
ticket(AccountID const& id, SeqProxy ticketSeq);
inline Keylet
ticket(uint256 const& key)
{
explicit TicketT() = default;
Keylet
operator()(AccountID const& id, std::uint32_t ticketSeq) const;
Keylet
operator()(AccountID const& id, SeqProxy ticketSeq) const;
Keylet
operator()(uint256 const& key) const
{
return {ltTICKET, key};
}
};
static TicketT const kTicket{};
return {ltTICKET, key};
}
/** @} */
/** A SignerList */
Keylet
signers(AccountID const& account) noexcept;
signerList(AccountID const& account) noexcept;
/** A Check */
/** @{ */
@@ -209,7 +193,7 @@ escrow(AccountID const& src, std::uint32_t seq) noexcept;
/** A PaymentChannel */
Keylet
payChan(AccountID const& src, AccountID const& dst, std::uint32_t seq) noexcept;
payChannel(AccountID const& src, AccountID const& dst, std::uint32_t seq) noexcept;
/** NFT page keylets
@@ -221,22 +205,22 @@ payChan(AccountID const& src, AccountID const& dst, std::uint32_t seq) noexcept;
/** @{ */
/** A keylet for the owner's first possible NFT page. */
Keylet
nftpageMin(AccountID const& owner);
nftokenPageMin(AccountID const& owner);
/** A keylet for the owner's last possible NFT page. */
Keylet
nftpageMax(AccountID const& owner);
nftokenPageMax(AccountID const& owner);
Keylet
nftpage(Keylet const& k, uint256 const& token);
nftokenPage(Keylet const& k, uint256 const& token);
/** @} */
/** An offer from an account to buy or sell an NFT */
Keylet
nftoffer(AccountID const& owner, std::uint32_t seq);
nftokenOffer(AccountID const& owner, std::uint32_t seq);
inline Keylet
nftoffer(uint256 const& offer)
nftokenOffer(uint256 const& offer)
{
return {ltNFTOKEN_OFFER, offer};
}
@@ -287,13 +271,13 @@ credential(uint256 const& key) noexcept
}
Keylet
mptIssuance(std::uint32_t seq, AccountID const& issuer) noexcept;
mptokenIssuance(std::uint32_t seq, AccountID const& issuer) noexcept;
Keylet
mptIssuance(MPTID const& issuanceID) noexcept;
mptokenIssuance(MPTID const& issuanceID) noexcept;
inline Keylet
mptIssuance(uint256 const& issuanceKey)
mptokenIssuance(uint256 const& issuanceKey)
{
return {ltMPTOKEN_ISSUANCE, issuanceKey};
}
@@ -320,10 +304,10 @@ vault(uint256 const& vaultKey)
}
Keylet
loanbroker(AccountID const& owner, std::uint32_t seq) noexcept;
loanBroker(AccountID const& owner, std::uint32_t seq) noexcept;
inline Keylet
loanbroker(uint256 const& key)
loanBroker(uint256 const& key)
{
return {ltLOAN_BROKER, key};
}
@@ -376,11 +360,15 @@ struct KeyletDesc
std::array<KeyletDesc<AccountID const&>, 6> const kDirectAccountKeylets{
{{.function = &keylet::account, .expectedLEName = jss::AccountRoot, .includeInTests = false},
{.function = &keylet::ownerDir, .expectedLEName = jss::DirectoryNode, .includeInTests = true},
{.function = &keylet::signers, .expectedLEName = jss::SignerList, .includeInTests = true},
{.function = &keylet::signerList, .expectedLEName = jss::SignerList, .includeInTests = true},
// It's normally impossible to create an item at nftpage_min, but
// test it anyway, since the invariant checks for it.
{.function = &keylet::nftpageMin, .expectedLEName = jss::NFTokenPage, .includeInTests = true},
{.function = &keylet::nftpageMax, .expectedLEName = jss::NFTokenPage, .includeInTests = true},
{.function = &keylet::nftokenPageMin,
.expectedLEName = jss::NFTokenPage,
.includeInTests = true},
{.function = &keylet::nftokenPageMax,
.expectedLEName = jss::NFTokenPage,
.includeInTests = true},
{.function = &keylet::did, .expectedLEName = jss::DID, .includeInTests = true}}};
MPTID

View File

@@ -118,13 +118,13 @@ public:
}
// begin() and end() are provided for testing purposes.
[[nodiscard]] typename std::forward_list<Item>::const_iterator
[[nodiscard]] std::forward_list<Item>::const_iterator
begin() const
{
return formats_.begin();
}
[[nodiscard]] typename std::forward_list<Item>::const_iterator
[[nodiscard]] std::forward_list<Item>::const_iterator
end() const
{
return formats_.end();

View File

@@ -180,12 +180,12 @@ enum LedgerEntryType : std::uint16_t {
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(lsmfMPTCanEnableCanLock, 0x00000002) \
LSF_FLAG(lsmfMPTCanEnableRequireAuth, 0x00000004) \
LSF_FLAG(lsmfMPTCanEnableCanEscrow, 0x00000008) \
LSF_FLAG(lsmfMPTCanEnableCanTrade, 0x00000010) \
LSF_FLAG(lsmfMPTCanEnableCanTransfer, 0x00000020) \
LSF_FLAG(lsmfMPTCanEnableCanClawback, 0x00000040) \
LSF_FLAG(lsmfMPTCanMutateMetadata, 0x00010000) \
LSF_FLAG(lsmfMPTCanMutateTransferFee, 0x00020000)) \
\

View File

@@ -7,8 +7,13 @@
#include <optional>
#include <string>
#include <unordered_map>
#include <unordered_set>
#include <vector>
namespace xrpl {
class STTx;
/**
* We have both transaction type permissions and granular type permissions.
* Since we will reuse the TransactionFormats to parse the Transaction
@@ -19,15 +24,15 @@ namespace xrpl {
// Macro-generated, complex
// NOLINTNEXTLINE(cppcoreguidelines-use-enum-class)
enum GranularPermissionType : std::uint32_t {
#pragma push_macro("PERMISSION")
#undef PERMISSION
#pragma push_macro("GRANULAR_PERMISSION")
#undef GRANULAR_PERMISSION
#define PERMISSION(type, txType, value) type = (value),
#define GRANULAR_PERMISSION(name, txType, value, ...) name = (value),
#include <xrpl/protocol/detail/permissions.macro>
#undef PERMISSION
#pragma pop_macro("PERMISSION")
#undef GRANULAR_PERMISSION
#pragma pop_macro("GRANULAR_PERMISSION")
};
// Injected bare enumerators (xrpl::delegable / xrpl::notDelegable) are required by preprocessor
@@ -40,15 +45,30 @@ class Permission
private:
Permission();
std::unordered_map<std::uint16_t, uint256> txFeatureMap_;
struct GranularPermissionEntry
{
std::string name;
TxType txType;
std::uint32_t permittedFlags;
SOTemplate permittedFields;
std::unordered_map<std::uint16_t, Delegation> delegableTx_;
GranularPermissionEntry(
std::string name,
TxType txType,
std::uint32_t permittedFlags,
std::vector<SOElement> fields);
};
std::unordered_map<std::string, GranularPermissionType> granularPermissionMap_;
struct TxDelegationEntry
{
uint256 amendment;
Delegation delegable{NotDelegable};
};
std::unordered_map<GranularPermissionType, std::string> granularNameMap_;
std::unordered_map<GranularPermissionType, TxType> granularTxTypeMap_;
std::unordered_set<TxType> granularTxTypes_;
std::unordered_map<TxType, TxDelegationEntry> txDelegationMap_;
std::unordered_map<std::string, GranularPermissionType> granularPermissionsByName_;
std::unordered_map<GranularPermissionType, GranularPermissionEntry> granularPermissions_;
public:
static Permission const&
@@ -59,30 +79,52 @@ public:
operator=(Permission const&) = delete;
[[nodiscard]] std::optional<std::string>
getPermissionName(std::uint32_t const value) const;
getPermissionName(std::uint32_t value) const;
[[nodiscard]] std::optional<std::uint32_t>
getGranularValue(std::string const& name) const;
[[nodiscard]] std::optional<std::string>
getGranularName(GranularPermissionType const& value) const;
getGranularName(GranularPermissionType value) const;
[[nodiscard]] std::optional<TxType>
getGranularTxType(GranularPermissionType const& gpType) const;
getGranularTxType(GranularPermissionType gpType) const;
// Returns a reference to avoid copying uint256 - 32 bytes. std::optional
// cannot hold references directly, so std::reference_wrapper is used.
[[nodiscard]] std::optional<std::reference_wrapper<uint256 const>>
getTxFeature(TxType txType) const;
[[nodiscard]] bool
isDelegable(std::uint32_t const& permissionValue, Rules const& rules) const;
isDelegable(std::uint32_t permissionValue, Rules const& rules) const;
[[nodiscard]] bool
hasGranularPermissions(TxType txType) const;
// for tx level permission, permission value is equal to tx type plus one
static uint32_t
txToPermissionType(TxType const& type);
[[nodiscard]] static uint32_t
txToPermissionType(TxType type);
// tx type value is permission value minus one
static TxType
permissionToTxType(uint32_t const& value);
[[nodiscard]] static TxType
permissionToTxType(std::uint32_t value);
/**
* @brief Verifies a delegated transaction against its granular permission template.
*
* @note WARNING: Do not move this check before standard transaction-level
* format checks, which is in preclaim. This function assumes the transaction's
* base structural integrity (fees, sequence, signatures) has already been
* validated.
*
* @param tx The transaction to verify.
* @param heldPermissions The granular permissions that the sender hold.
* @return true if the transaction fields and flags comply with the granular template.
*/
[[nodiscard]] bool
checkGranularSandbox(
STTx const& tx,
std::unordered_set<GranularPermissionType> const& heldPermissions) const;
};
} // namespace xrpl

View File

@@ -163,7 +163,7 @@ STBitString<Bits>::setValue(BaseUInt<Bits, Tag> const& v)
}
template <int Bits>
typename STBitString<Bits>::value_type const&
STBitString<Bits>::value_type const&
STBitString<Bits>::value() const
{
return value_;

View File

@@ -120,7 +120,7 @@ STInteger<Integer>::operator=(value_type const& v)
}
template <typename Integer>
inline typename STInteger<Integer>::value_type
inline STInteger<Integer>::value_type
STInteger<Integer>::value() const noexcept
{
return value_;

View File

@@ -243,7 +243,7 @@ public:
@throws STObject::FieldErr if the field is not present.
*/
template <class T>
typename T::value_type
T::value_type
operator[](TypedField<T> const& f) const;
/** Get the value of a field as a std::optional
@@ -290,7 +290,7 @@ public:
@throws STObject::FieldErr if the field is not present.
*/
template <class T>
[[nodiscard]] typename T::value_type
[[nodiscard]] T::value_type
at(TypedField<T> const& f) const;
/** Get the value of a field as std::optional
@@ -478,7 +478,7 @@ template <class T>
class STObject::Proxy
{
public:
using value_type = typename T::value_type;
using value_type = T::value_type;
[[nodiscard]] value_type
value() const;
@@ -513,13 +513,10 @@ protected:
template <typename U>
concept IsArithmeticNumber =
std::is_arithmetic_v<U> || std::is_same_v<U, Number> || std::is_same_v<U, STAmount>;
template <
typename U,
typename Value = typename U::value_type,
typename Unit = typename U::unit_type>
template <typename U, typename Value = U::value_type, typename Unit = U::unit_type>
concept IsArithmeticValueUnit = std::is_same_v<U, unit::ValueUnit<Unit, Value>> &&
IsArithmeticNumber<Value> && std::is_class_v<Unit>;
template <typename U, typename Value = typename U::value_type>
template <typename U, typename Value = U::value_type>
concept IsArithmeticST = !IsArithmeticValueUnit<U> && IsArithmeticNumber<Value>;
template <typename U>
concept IsArithmetic = IsArithmeticNumber<U> || IsArithmeticST<U> || IsArithmeticValueUnit<U>;
@@ -534,7 +531,7 @@ template <class T>
class STObject::ValueProxy : public Proxy<T>
{
private:
using value_type = typename T::value_type;
using value_type = T::value_type;
public:
ValueProxy(ValueProxy const&) = default;
@@ -576,7 +573,7 @@ template <class T>
class STObject::OptionalProxy : public Proxy<T>
{
private:
using value_type = typename T::value_type;
using value_type = T::value_type;
using optional_type = std::optional<std::decay_t<value_type>>;
@@ -840,7 +837,7 @@ operator typename STObject::OptionalProxy<T>::optional_type() const
}
template <class T>
typename STObject::OptionalProxy<T>::optional_type
STObject::OptionalProxy<T>::optional_type
STObject::OptionalProxy<T>::operator~() const
{
return optionalValue();
@@ -933,7 +930,7 @@ STObject::OptionalProxy<T>::optionalValue() const -> optional_type
}
template <class T>
typename STObject::OptionalProxy<T>::value_type
STObject::OptionalProxy<T>::value_type
STObject::OptionalProxy<T>::valueOr(value_type val) const
{
return engaged() ? this->value() : val;
@@ -1040,7 +1037,7 @@ STObject::getPIndex(int offset)
}
template <class T>
typename T::value_type
T::value_type
STObject::operator[](TypedField<T> const& f) const
{
return at(f);
@@ -1068,7 +1065,7 @@ STObject::operator[](OptionaledField<T> const& of) -> OptionalProxy<T>
}
template <class T>
[[nodiscard]] typename T::value_type
[[nodiscard]] T::value_type
STObject::at(TypedField<T> const& f) const
{
auto const b = peekAtPField(f);

View File

@@ -657,13 +657,13 @@ inline bool
isTesSuccess(TER x) noexcept
{
// Makes use of TERSubset::operator bool()
return !(x);
return !x;
}
inline bool
isTecClaim(TER x) noexcept
{
return ((x) >= tecCLAIM);
return (x >= tecCLAIM);
}
std::unordered_map<TERUnderlyingType, std::pair<char const* const, char const* const>> const&

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