The table of contents in this file indexes third- and fourth-level headings,
so a new subsection that is absent from it is a gap rather than a style
choice.
Compiled out, compiled in and tracing, compiled in with no active span, and
compiled in but disabled by config all have to produce the right wire bytes,
and only two of them are obvious. Tabulate them, and record why the predicate
reads the context directly instead of calling GetSpan(), which allocates a
DefaultSpan in the no-span case.
mutable_ on a protobuf optional submessage allocates it and sets its has-bit
at the call site, before the helper can decide there is nothing to write. A
caller that dereferences it ships an empty TraceContext whenever nothing is
recorded, and its peers each take a branch to extract nothing.
Document the rule with the right and wrong forms side by side.
The conditional-compilation section promised zero overhead when telemetry is
not wanted. The span disappears, but the arguments passed to it do not: the
compiled-out guards are ordinary inline functions, so a to_string() or a hash
in an argument list still runs and its result is then discarded.
State that, show the guard that does remove the work, and name the opposite
case -- the metric macros, which discard their arguments and need no guard.
Four conflicts. None was a take-a-side.
xrpld-telemetry.cfg: dropped the incoming [insight] block. This branch already
has one, and duplicate ini sections do not replace each other -- parseIniFile
appends onto the same section, so keys merge last-wins and the effective config
is one that appears nowhere in the file.
src/tests/libxrpl/CMakeLists.txt: kept this branch's else() branch, which
compiles MetricsRegistry.cpp for the telemetry-off build, and dropped only the
ValidationTracker target_sources inside if(telemetry). Upstream relocated that
one out of the guard, so keeping both would have compiled it twice. The
else() branch is this branch's own: the MetricsRegistry test exists only here,
and without its implementation the off build would not link.
RCLConsensus.cpp: union. The metric macros and registry come from this branch,
PropagationHelpers from upstream; all three are used.
PeerImp.cpp: MetricMacros.h stays unguarded, because all seven XRPL_METRIC_*
uses in this file are on unconditional paths and the header is what defines
them. ConsensusReceiveTracing.h takes upstream's guarded placement, and this
branch's guarded GetObjectMetricNames.h is kept beside it.
formatName() never reads prefix, so setting it here does nothing and the
exported names are bare and lowercase. Leaving it invites queries written
against xrpld_jobq_job_count, which match no series.
The StatsD examples keep it, because that path does apply it to the name.
The row listed only the two end-of-phase attributes. Add the four set at span
creation and the three set at the close decision.
Records what the previous wording implied but did not state: the end-of-phase
attributes are absent when the round is recovered by handleWrongLedger or
driven by simulate(), because neither reaches closeLedger(). Any average over
open_duration_ms silently excludes those rounds.
Edited here rather than on phase 5, where this cell is empty and would conflict
on the way up.
close_time_avalanche_state is new; the row also did not say that the other
three are rewritten on every convergence iteration, so a reader could not tell
that the exported value is the last one rather than a series.
This row is byte-identical on phases 5 through 10, so it is edited here and
merges forward. The consensus.phase.open row is empty until phase 9 and is
updated there instead.
The runbook's metric tables are headed "Prometheus Metric", so they
should carry the series names an operator can paste into Grafana. Five
counter rows carried the code-side name instead: the OTel Prometheus
exporter appends _total, so rpc_requests, ledger_fetches,
ledger_history_mismatch, warn and drop name no series at all. Verified
two ways: every dashboard queries the _total form and never the bare
one, and phase-10's expected_metrics.json lists the _total names. The
same file already used warn_total further down, so it contradicted
itself.
Nine panel rows documented a hardcoded [5m] window where the panel
actually uses $__rate_interval. The RPC Request Rate row had both
faults.
Left alone deliberately:
- four histogram _bucket rows keep [5m], because the dashboards
hardcode the window for bucket queries and the dashboard linter only
flags hardcoded ranges on counter-rate shapes;
- three example queries inside fenced code blocks, which are standalone
snippets rather than panel documentation;
- the All Traffic Categories (Detail) row, which phase-10 has already
rewritten to the label_replace shape.
Prettier re-padded two table separator rows because the longer names
widen the columns.
The dashboard inventory listed "Peer TX Receive Rate", but this branch
deletes that panel from transaction-overview.json, so an operator
following the runbook finds no such chart. The row is stale from
phase-7 onward and is still present at the tip of the chain, so
nothing downstream repairs it.
Remove the row rather than retarget it: the neighbouring
"Transaction Receive vs Suppressed" row already documents the
tx.receive rate and its panel exists on every branch, so retargeting
would have produced two rows for one chart.
The microsecond ladder's first edge was 100us, which sat ABOVE the mass of
every instrument using it. Measured on devnet: 99.3% of job_queued_us
samples, 92.5% of job_running_us and 90.4% of getobject_lookup_us fell in
that first bucket. histogram_quantile then interpolated inside bucket 0 and
returned `quantile / fraction_in_bucket_0 x first_edge` -- p75/p95/p99 of
job_queued_us read 75.52/95.66/99.69us against a prediction of
75.53/95.67/99.70. Three-decimal agreement: those panels were reporting
arithmetic on the bucket edge, not latency.
The fix was already half-written. kSubMillisecondBoundaries had been parked
in MetricsRegistry.cpp as [[maybe_unused]] with a comment noting exactly this
problem for nodestore reads. Its edges are now folded into kMicrosecondBuckets
rather than deleted, so the parked intent is carried forward: 1..1000us
resolution where the mass is, upper edges unchanged so multi-second stalls
stay measurable.
Also moves the GetObject count and charge ladders into HistogramBuckets.h, so
all five ladders have one owner and one set of invariant tests (29 now).
Adds check_bucket_parity.py, wired into the existing OTel naming workflow.
The C++ millisecond ladder and the collector's spanmetrics ladder are
specified to agree over their shared range; they were identical when shipped,
then the collector side alone was extended and nothing noticed for eleven
phases. The check asserts containment rather than equality, because jobs
outlive spans -- jobq_updatepaths averages ~60s, which no span approaches, so
demanding equality would force a ceiling that censors it. Verified it rejects
a missing collector edge, a bogus in-range edge, and a return to the 5s
ceiling.
ledger-data-sync's "Job Queue Wait p95 By Type" moves off the beast
jobq_*_q_milliseconds pair onto job_queued_us filtered by job_type. Those
beast metrics are ms-quantised at the source (Event rounds up to a whole
millisecond), so 94-100% of their samples sat in the first bucket and no
ladder change could fix them. Note the label values are camelCase
(job_type="ledgerData"), not the lowercase metric-name fragments.
Both histogram-fed alert thresholds re-validated and left unchanged, with the
measured basis recorded so neither gets tuned against the old artefact: only
0.0022% of job_queued_us samples exceed the 1s threshold, and every edge
bracketing the 1000ms ios_latency threshold survived the ladder change.
Docs: the rpc_size "known issue -- tracked separately" notes in the runbook
and 09-data-collection-reference are now resolved notes, the stale 10-edge
span_duration bucket list is corrected to the collector's real 20, and the
runbook gains a "Reading A Histogram Percentile" section covering both
saturation traps and the expected discontinuity after a ladder change.
Bring the three documentation surfaces in line with the new parse-time check:
- The @throws clause on makeTelemetrySetup now names the third failure
condition and records that an empty path is skipped.
- cfg/xrpld-example.cfg states, under all three TLS keys, that with enabled=1
and use_tls=1 a path that does not exist or cannot be read stops startup. The
tls_ca_cert wording still says that empty selects the system CA store, since
only a path that is set is checked.
- The runbook troubleshooting entry gains a third bullet for the "cannot be
read" message, whose remedy is the path or its permissions rather than the
certificate and key pairing.
Documentation only; no behaviour change.
Use `rgb(15, 122, 102)` instead of `rgb(25, 158, 112)`: the brighter step drew
too much attention for a background band.
This is the darkest teal that still separates from the JMeter grey by a readable
margin -- normal-vision dE 15.6 against a floor of 15, CVD dE 12.3 against a
target of 8, and at least 3:1 on the dark surface. Dimmer steps fail: rgb(25,
100, 90) lands at dE 9.5, and a grey-derived rgb(25, 70, 70) at dE 5.8, which is
indistinguishable from the JMeter grey even with full colour vision.
The driver split changed the existing perf-run regions from grey to violet,
which was not asked for. Restore `rgb(70, 70, 70)` on `Perf Runs (JMeter)` so
every region that rendered before keeps its colour; `Perf Runs (Locust)` stays
aqua, since it is new.
Grey separates from aqua well (dE 22.8 deutan, 25.9 tritan, 26.1 normal), but it
sits at 1.98:1 against the dark-theme surface, below the 3:1 floor, so its region
edges read faint there. Noted in the runbook.
A single "Annotate perf-iac runs" layer matched only `perf-iac`, so a Locust
load window was indistinguishable from a JMeter one. perf-iac now tags every
region with its load driver, so each driver can have its own layer and colour.
- Replace that layer with `Perf Runs (JMeter)` and `Perf Runs (Locust)`, each
matching ["perf-iac", "<driver>"] with matchAny:false, on 12 dashboards.
- job-queue, ledger-data-sync and log-derived-insights had an empty annotations
list and drew no perf regions at all; they now carry the builtIn layer plus
both driver layers.
- Grafana tag matching is a superset AND with no negation, so a generic
`perf-iac` layer also matches every driver region. Keeping one alongside the
driver layers would draw each load window twice, so it is replaced, not kept.
- Document the layers in the telemetry runbook, including two rendering limits:
annotations draw only on timeseries, state-timeline and candlestick panels,
and the shaded fill is 10% opacity so the region edges carry the colour.
- Add `jmeter` to the cspell dictionary; the hook rejects the bare word.
makeTelemetrySetup() rejects a contradictory [telemetry] mutual-TLS
setup by throwing, but it is called from ApplicationImp's
member-initializer list. A try/catch in the constructor body cannot
reach a throw from there, and nothing further up the stack caught it
either, so a config mistake reached std::terminate: the default handler
printed a terminate dump and raised SIGABRT, leaving a core file
instead of a startup error.
Catch std::exception around makeApplication() in run(), report the
reason on stderr and return -1, so the failure is a clean non-zero exit
with a message an operator can act on. Only the construction is
wrapped. setup() starts subsystems whose shutdown order is delicate and
is left outside deliberately, because unwinding a half-started
Application would skip the normal stop sequence.
Gate both validation guards on enabled. A node with telemetry switched
off previously refused to start over certificate paths that nothing
would read.
Document both throws on makeTelemetrySetup(), state in
cfg/xrpld-example.cfg and the configuration reference that a partial
mutual-TLS setup is fatal and that the checks apply only when
enabled=1, and add a runbook troubleshooting entry keyed on the two
error messages.
Tests cover both guards with the message asserted so the two are told
apart, both enabled=0 paths, and the default plaintext configuration.
Node identity reached the OTel resource only as service.instance.id, which is
config-overridable and carries a deployment-chosen label rather than the node's
own identity. Add xrpl.node.id, set unconditionally from the node public key
(base58, TokenType::NodePublic), so traces and metrics share a stable per-node
key independent of [telemetry] service_instance_id.
Set on the tracer resource via Telemetry::setNodeId(), called from
ApplicationImp::setup() once nodeIdentity_ is known, and on the MetricsRegistry
resource via an added start() parameter. The beast::insight meter provider is
built in TelemetryImpl's constructor, before the wallet DB exists, so its
resource cannot carry the value; that path is left for later and the attribute
is omitted rather than stamped blank.
Also drops the transform/spanidentity collector processor added in
4a361a496d: per-node identity belongs on the resource, not copied onto every
span.
Consensus spans share one deterministic, ledger-derived trace_id, so a
single trace holds spans from every node and the resource-level node id is
not a reliable per-span discriminator in stored traces.
Add transform/spanidentity to both collector configs, copying
service.instance.id onto every span as service_instance_id so TraceQL can
filter per node with the same value the $node dashboard variable already
uses on the metrics side. Wired into the traces pipeline locally and into
traces/store (after tail_sampling) on the Grafana Cloud variant.
