@temporalio/worker
Version:
Temporal.io SDK Worker sub-package
47 lines • 2.22 kB
JavaScript
;
Object.defineProperty(exports, "__esModule", { value: true });
exports.initMetricSink = initMetricSink;
function initMetricSink(metricMeter) {
// Creation of a new metric object isn't quite cheap, requiring a call down the bridge to the
// actual Metric Meter. Unfortunately, the workflow sandbox execution model doesn't allow to
// reuse metric objects from the caller side. We therefore maintain local caches of metric
// objects to avoid creating a new one for every single metric value being emitted.
const cache = new Map();
function getOrCreate(key, create) {
let value = cache.get(key)?.deref();
if (value === undefined) {
value = create();
cache.set(key, new WeakRef(value));
}
return value;
}
return {
__temporal_metrics: {
addMetricCounterValue: {
fn(_, metricName, unit, description, value, attrs) {
const cacheKey = `${metricName}:counter`;
const createFn = () => metricMeter.createCounter(metricName, unit, description);
getOrCreate(cacheKey, createFn).add(value, attrs);
},
callDuringReplay: false,
},
recordMetricHistogramValue: {
fn(_, metricName, valueType, unit, description, value, attrs) {
const cacheKey = `histogram:${valueType}:${metricName}`;
const createFn = () => metricMeter.createHistogram(metricName, valueType, unit, description);
getOrCreate(cacheKey, createFn).record(value, attrs);
},
callDuringReplay: false,
},
setMetricGaugeValue: {
fn(_, metricName, valueType, unit, description, value, attrs) {
const cacheKey = `gauge:${valueType}:${metricName}`;
const createFn = () => metricMeter.createGauge(metricName, valueType, unit, description);
getOrCreate(cacheKey, createFn).set(value, attrs);
},
callDuringReplay: false,
},
},
};
}
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