Files
lancedb/nodejs/lancedb/otel.ts
T
Will Jones 285add40dd feat: expose Lance metrics via OpenTelemetry in Python and Node (#3609)
Bridges Lance's internal `metrics`-crate instrumentation (object store
request counts, bytes, latency, errors, and throttles) into
OpenTelemetry, in both the Python and Node bindings, with a shared
adapter in the Rust core. This is the LanceDB counterpart to
lance-format/lance#7537.

## Rust core (`rust/lancedb`)
Two new, **off-by-default** features:
- `metrics` — re-exports the [`metrics`](https://docs.rs/metrics) crate
as `lancedb::metrics` and turns on Lance's object-store instrumentation.
Install any `metrics`-compatible recorder to collect them.
- `metrics-otel` — adds `lancedb::metrics_otel`, a pull-based adapter
that installs a process-global recorder aggregating into lock-free
cumulative storage and exposes a snapshot/catalog API
(`register_metrics_recorder`, `metrics_catalog`, `snapshot_metrics`,
`MetricPoint`/`MetricValue`/`MetricKind`/`MetricDescription`). Both
bindings build on this.

## Python
`lancedb.otel.instrument_lancedb_metrics()` registers each metric as an
OpenTelemetry observable instrument on the given (or global)
`MeterProvider`. Available via the `otel` extra (`pip install
lancedb[otel]`), which pulls in only `opentelemetry-api` — the
application supplies and configures the SDK.

## Node
`instrumentLanceDbMetrics()` provides the equivalent wiring against
`@opentelemetry/api`. This is the only public entry point; the
underlying recorder/catalog/snapshot functions stay internal.

Because OpenTelemetry has no asynchronous histogram instrument,
histograms are exported Prometheus-style as `<name>_bucket` (with an
`le` attribute), `<name>_count`, and `<name>_sum`. Only `_sum` carries
the histogram's unit; `_bucket` and `_count` observe cumulative counts
and are unitless. The adapter is enabled by default in the Python and
Node builds, and off by default in the Rust crate.

## Notes
- Requires Lance ≥ `v9.0.0-beta.19`, which ships the object-store
metrics APIs (upstream lance-format/lance#7537, now merged). `main` is
already on beta.19, so this is a single feature commit with no
dependency bump.
- Tests: 8 Rust unit tests, 3 Python tests, 2 Node tests, all covering
the end-to-end object-store-metrics → OpenTelemetry path.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-07-09 15:36:03 -07:00

138 lines
4.6 KiB
TypeScript

// SPDX-License-Identifier: Apache-2.0
// SPDX-FileCopyrightText: Copyright The LanceDB Authors
import {
type Attributes,
type MeterProvider,
type ObservableResult,
metrics,
} from "@opentelemetry/api";
import {
lancedbMetricsCatalog,
registerLancedbMetricsRecorder,
snapshotLancedbMetrics,
} from "./native";
let instrumented = false;
/**
* Register LanceDB metrics as OpenTelemetry observable instruments.
*
* Installs a process-global metrics recorder and creates one observable
* instrument per LanceDB metric (currently object store request counts, bytes,
* latency, errors, and throttles) on the given (or global) `MeterProvider`. The
* configured `MetricReader` then collects them on its own schedule.
*
* Counters and gauges map directly to observable counters/gauges. Because
* OpenTelemetry has no asynchronous histogram instrument, each histogram is
* exported Prometheus-style as cumulative `le` bucket counts (`<name>_bucket`,
* with an `le` attribute) plus `<name>_count` and `<name>_sum`.
*
* Requires `@opentelemetry/api` (a dependency) and, to actually export, an
* OpenTelemetry SDK such as `@opentelemetry/sdk-metrics`.
*
* @param meterProvider The provider to register instruments on. Defaults to the
* global provider from `@opentelemetry/api`.
* @returns `true` if the recorder is installed and instruments are registered.
* `false` if a different `metrics` recorder is already installed in this
* process (only one global recorder is permitted), in which case a warning is
* emitted and no instruments are created. Calling this more than once is safe;
* instruments are created only on the first successful call.
*/
export function instrumentLanceDbMetrics(
meterProvider?: MeterProvider,
): boolean {
if (!registerLancedbMetricsRecorder()) {
console.warn(
"Could not install the LanceDB metrics recorder: another `metrics` " +
"recorder is already installed in this process. LanceDB metrics will " +
"not be exported via OpenTelemetry.",
);
return false;
}
if (instrumented) {
return true;
}
const provider = meterProvider ?? metrics.getMeterProvider();
const meter = provider.getMeter("lancedb");
const scalarCallback = (metricName: string) => (result: ObservableResult) => {
for (const point of snapshotLancedbMetrics()) {
if (point.name === metricName && point.value != null) {
result.observe(point.value, point.attributes);
}
}
};
const bucketCallback = (metricName: string) => (result: ObservableResult) => {
for (const point of snapshotLancedbMetrics()) {
if (point.name !== metricName || point.buckets == null) {
continue;
}
for (const bucket of point.buckets) {
const attributes: Attributes = {
...point.attributes,
le: bucket.le,
};
result.observe(bucket.cumulativeCount, attributes);
}
}
};
const fieldCallback =
(metricName: string, field: "count" | "sum") =>
(result: ObservableResult) => {
for (const point of snapshotLancedbMetrics()) {
if (point.name !== metricName) {
continue;
}
const value = point[field];
if (value != null) {
result.observe(value, point.attributes);
}
}
};
for (const desc of lancedbMetricsCatalog()) {
const unit = desc.unit ?? "";
if (desc.kind === "counter") {
const counter = meter.createObservableCounter(desc.name, {
unit,
description: desc.description,
});
counter.addCallback(scalarCallback(desc.name));
} else if (desc.kind === "gauge") {
const gauge = meter.createObservableGauge(desc.name, {
unit,
description: desc.description,
});
gauge.addCallback(scalarCallback(desc.name));
} else if (desc.kind === "histogram") {
// `_bucket` and `_count` observe cumulative sample counts, not the
// histogram's measured quantity, so they are unitless; only `_sum`
// carries the histogram's unit.
const bucket = meter.createObservableCounter(`${desc.name}_bucket`, {
description: `${desc.description} (cumulative buckets)`,
});
bucket.addCallback(bucketCallback(desc.name));
const count = meter.createObservableCounter(`${desc.name}_count`, {
description: `${desc.description} (count)`,
});
count.addCallback(fieldCallback(desc.name, "count"));
const sum = meter.createObservableCounter(`${desc.name}_sum`, {
unit,
description: `${desc.description} (sum)`,
});
sum.addCallback(fieldCallback(desc.name, "sum"));
}
}
instrumented = true;
return true;
}