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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>
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@@ -12,6 +12,7 @@ mod header;
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mod index;
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mod iterator;
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pub mod merge;
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pub mod otel;
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pub mod permutation;
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mod query;
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pub mod remote;
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@@ -0,0 +1,119 @@
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// SPDX-License-Identifier: Apache-2.0
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// SPDX-FileCopyrightText: Copyright The LanceDB Authors
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//! Node.js bindings over [`lancedb::metrics_otel`].
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//!
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//! The aggregation, catalog, and histogram bucketing all live in the LanceDB
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//! core crate; this module only converts the core snapshot types into napi
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//! objects and exposes the three entry points to JavaScript, where
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//! `lancedb/otel.ts` bridges them into the user's OpenTelemetry `MeterProvider`.
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use std::collections::HashMap;
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use lancedb::metrics_otel::{MetricPoint as CoreMetricPoint, MetricValue};
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use napi_derive::napi;
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/// One cumulative histogram bucket: all samples with value `<= le`.
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#[napi(object)]
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pub struct MetricBucket {
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/// The inclusive upper bound of the bucket, or `"+Inf"` for the final bucket.
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pub le: String,
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/// Cumulative number of samples less than or equal to `le`.
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pub cumulative_count: f64,
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}
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/// One aggregated metric data point. For counters and gauges only `value` is
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/// set; for histograms `buckets` (cumulative `le` counts), `count`, and `sum`
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/// are set.
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#[napi(object)]
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pub struct MetricPoint {
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pub name: String,
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pub kind: String,
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pub attributes: HashMap<String, String>,
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pub value: Option<f64>,
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pub buckets: Option<Vec<MetricBucket>>,
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pub count: Option<f64>,
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pub sum: Option<f64>,
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}
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impl From<CoreMetricPoint> for MetricPoint {
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fn from(point: CoreMetricPoint) -> Self {
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let kind = point.kind.as_str().to_string();
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let (value, buckets, count, sum) = match point.value {
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MetricValue::Scalar(v) => (Some(v), None, None, None),
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MetricValue::Histogram {
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buckets,
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count,
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sum,
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} => (
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None,
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Some(
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buckets
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.into_iter()
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// Counts stay well within the f64-exact integer range
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// (2^53), so this cast is lossless in practice and keeps
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// the values plain JS numbers for OpenTelemetry.
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.map(|(le, cumulative_count)| MetricBucket {
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le,
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cumulative_count: cumulative_count as f64,
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})
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.collect(),
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),
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Some(count as f64),
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Some(sum),
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),
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};
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Self {
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name: point.name,
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kind,
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attributes: point.attributes,
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value,
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buckets,
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count,
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sum,
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}
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}
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}
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/// A described metric, used by the JavaScript layer to create instruments up front.
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#[napi(object)]
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pub struct MetricDescription {
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pub name: String,
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pub kind: String,
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pub unit: Option<String>,
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pub description: String,
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}
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/// Install the LanceDB metrics recorder as the process-global `metrics` recorder.
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///
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/// Returns `true` if the recorder is installed (now or previously). Returns
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/// `false` if a *different* recorder is already installed — `metrics` allows
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/// only one global recorder per process, so LanceDB cannot coexist with another.
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#[napi]
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pub fn register_lancedb_metrics_recorder() -> bool {
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lancedb::metrics_otel::register_metrics_recorder()
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}
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/// The catalog of described LanceDB metrics. Empty until the recorder is installed.
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#[napi]
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pub fn lancedb_metrics_catalog() -> Vec<MetricDescription> {
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lancedb::metrics_otel::metrics_catalog()
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.into_iter()
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.map(|desc| MetricDescription {
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name: desc.name,
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kind: desc.kind.as_str().to_string(),
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unit: desc.unit,
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description: desc.description,
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})
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.collect()
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}
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/// A point-in-time snapshot of every recorded metric. Empty until the recorder
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/// is installed.
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#[napi]
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pub fn snapshot_lancedb_metrics() -> Vec<MetricPoint> {
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lancedb::metrics_otel::snapshot_metrics()
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.into_iter()
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.map(MetricPoint::from)
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.collect()
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}
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