Feature/add metrics type summary (#24)

* add metric type summary

* add tests for percentile option

* throw errors for unknown metricType

* set histogram as default metrics type
This commit is contained in:
Chen Li
2018-12-23 10:36:47 -05:00
committed by Konstantin Pogorelov
parent 6054824c67
commit 0dd3116f23
4 changed files with 76 additions and 9 deletions

View File

@@ -9,7 +9,7 @@ Internally it uses **prom-client**. See: https://github.com/siimon/prom-client
Included metrics:
* `up`: normally is just 1
* `http_request_duration_seconds`: http latency histogram labeled with `status_code`, `method` and `path`
* `http_request_duration_seconds`: http latency histogram/summary labeled with `status_code`, `method` and `path`
## Install
@@ -64,6 +64,12 @@ The code the master process runs will expose an API with a single endpoint `/clu
## Options
Metrics type:
* **metricsType**: two metrics type are supported for `http_request_duration_seconds` metric: [histogram](https://prometheus.io/docs/concepts/metric_types/#histogram) and [summary](https://prometheus.io/docs/concepts/metric_types/#summary), default: **histogram**
Which labels to include in `http_request_duration_seconds` metric:
* **includeStatusCode**: HTTP status code (200, 400, 404 etc.), default: **true**
@@ -87,6 +93,7 @@ Extra transformation callbacks:
Other options:
* **buckets**: buckets used for `http_request_duration_seconds` histogram
* **percentiles**: percentiles used for `http_request_duration_seconds` summary
* **autoregister**: if `/metrics` endpoint should be registered. (Default: **true**)
* **promClient**: options for promClient startup, e.g. **collectDefaultMetrics**. This option was added
to keep `express-prom-bundle` runnable using confit (e.g. with kraken.js) without writing any JS code,

2
package-lock.json generated
View File

@@ -1,6 +1,6 @@
{
"name": "express-prom-bundle",
"version": "4.1.0",
"version": "4.2.0",
"lockfileVersion": 1,
"requires": true,
"dependencies": {

View File

@@ -186,6 +186,54 @@ describe('index', () => {
});
});
it('metrics type summary works', done => {
const app = express();
const bundled = bundle({
metricsType: 'summary',
percentiles: [0.5, 0.85, 0.99],
});
app.use(bundled);
app.use('/test', (req, res) => res.send('it worked'));
const agent = supertest(app);
agent.get('/test').end(() => {
agent
.get('/metrics')
.end((err, res) => {
expect(res.status).toBe(200);
expect(res.text).toMatch(/quantile="0.85"/);
done();
});
});
});
it('metrics type histogram works', done => {
const app = express();
const bundled = bundle({
metricsType: 'histogram',
buckets: [10, 100],
});
app.use(bundled);
app.use('/test', (req, res) => res.send('it worked'));
const agent = supertest(app);
agent.get('/test').end(() => {
agent
.get('/metrics')
.end((err, res) => {
expect(res.status).toBe(200);
expect(res.text).toMatch(/le="100"/);
done();
});
});
});
it('throws on unknown metricType ', () => {
expect(() => {
bundle({metricsType: 'hello',});
}).toThrow();
});
describe('usage of normalizePath()', () => {
it('normalizePath can be replaced gloablly', done => {

View File

@@ -62,6 +62,7 @@ function main(opts) {
includeStatusCode: true,
normalizePath: main.normalizePath,
formatStatusCode: main.normalizeStatusCode,
metricsType: 'histogram',
promClient: {}
},
opts
@@ -106,13 +107,24 @@ function main(opts) {
if (opts.customLabels){
labels.push.apply(labels, Object.keys(opts.customLabels));
}
const metric = new promClient.Histogram({
name: httpMetricName,
help: 'duration histogram of http responses labeled with: ' + labels.join(', '),
labelNames: labels,
buckets: opts.buckets || [0.003, 0.03, 0.1, 0.3, 1.5, 10]
});
return metric;
if (opts.metricsType === 'summary') {
return new promClient.Summary({
name: httpMetricName,
help: 'duration summary of http responses labeled with: ' + labels.join(', '),
labelNames: labels,
percentiles: opts.percentiles || [0.5, 0.75, 0.95, 0.98, 0.99, 0.999]
});
} else if (opts.metricsType === 'histogram' || !opts.metricsType) {
return new promClient.Histogram({
name: httpMetricName,
help: 'duration histogram of http responses labeled with: ' + labels.join(', '),
labelNames: labels,
buckets: opts.buckets || [0.003, 0.03, 0.1, 0.3, 1.5, 10]
});
} else {
throw new Error('metricsType option must be histogram or summary');
}
}
};