105 lines
4.5 KiB
Markdown
105 lines
4.5 KiB
Markdown
[](https://github.com/VictoriaMetrics/metrics/actions)
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[](http://godoc.org/github.com/VictoriaMetrics/metrics)
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[](https://goreportcard.com/report/github.com/VictoriaMetrics/metrics)
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[](https://codecov.io/gh/VictoriaMetrics/metrics)
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# metrics - lightweight package for exporting metrics in Prometheus format
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### Features
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* Lightweight. Has minimal number of third-party dependencies and all these deps are small.
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See [this article](https://medium.com/@valyala/stripping-dependency-bloat-in-victoriametrics-docker-image-983fb5912b0d) for details.
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* Easy to use. See the [API docs](http://godoc.org/github.com/VictoriaMetrics/metrics).
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* Fast.
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* Allows exporting distinct metric sets via distinct endpoints. See [Set](http://godoc.org/github.com/VictoriaMetrics/metrics#Set).
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* Supports [easy-to-use histograms](http://godoc.org/github.com/VictoriaMetrics/metrics#Histogram), which just work without any tuning.
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Read more about VictoriaMetrics histograms at [this article](https://medium.com/@valyala/improving-histogram-usability-for-prometheus-and-grafana-bc7e5df0e350).
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### Limitations
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* It doesn't implement advanced functionality from [github.com/prometheus/client_golang](https://godoc.org/github.com/prometheus/client_golang).
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### Usage
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```go
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import "github.com/VictoriaMetrics/metrics"
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// Register various time series.
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// Time series name may contain labels in Prometheus format - see below.
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var (
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// Register counter without labels.
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requestsTotal = metrics.NewCounter("requests_total")
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// Register summary with a single label.
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requestDuration = metrics.NewSummary(`requests_duration_seconds{path="/foobar/baz"}`)
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// Register gauge with two labels.
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queueSize = metrics.NewGauge(`queue_size{queue="foobar",topic="baz"}`, func() float64 {
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return float64(foobarQueue.Len())
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})
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// Register histogram with a single label.
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responseSize = metrics.NewHistogram(`response_size{path="/foo/bar"}`)
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)
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// ...
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func requestHandler() {
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// Increment requestTotal counter.
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requestsTotal.Inc()
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startTime := time.Now()
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processRequest()
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// Update requestDuration summary.
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requestDuration.UpdateDuration(startTime)
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// Update responseSize histogram.
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responseSize.Update(responseSize)
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}
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// Expose the registered metrics at `/metrics` path.
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http.HandleFunc("/metrics", func(w http.ResponseWriter, req *http.Request) {
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metrics.WritePrometheus(w, true)
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})
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```
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See [docs](http://godoc.org/github.com/VictoriaMetrics/metrics) for more info.
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### Users
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* `Metrics` has been extracted from [VictoriaMetrics](https://github.com/VictoriaMetrics/VictoriaMetrics) sources.
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See [this article](https://medium.com/devopslinks/victoriametrics-creating-the-best-remote-storage-for-prometheus-5d92d66787ac)
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for more info about `VictoriaMetrics`.
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### FAQ
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#### Why the `metrics` API isn't compatible with `github.com/prometheus/client_golang`?
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Because the `github.com/prometheus/client_golang` is too complex and is hard to use.
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#### Why the `metrics.WritePrometheus` doesn't expose documentation for each metric?
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Because this documentation is ignored by Prometheus. The documentation is for users.
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Just add comments in the source code or in other suitable place explaining each metric
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exposed from your application.
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#### How to implement [CounterVec](https://godoc.org/github.com/prometheus/client_golang/prometheus#CounterVec) in `metrics`?
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Just use [GetOrCreateCounter](http://godoc.org/github.com/VictoriaMetrics/metrics#GetOrCreateCounter)
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instead of `CounterVec.With`. See [this example](https://godoc.org/github.com/VictoriaMetrics/metrics#example-Counter--Vec) for details.
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#### Why [Histogram](http://godoc.org/github.com/VictoriaMetrics/metrics#Histogram) buckets contain `vmrange` labels instead of `le` labels like in Prometheus histograms?
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Buckets with `vmrange` labels occupy less disk space comparing to Promethes-style buckets with `le` labels,
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because `vmrange` buckets don't include counters for the previous ranges. [VictoriaMetrics](https://github.com/VictoriaMetrics/VictoriaMetrics) provides `prometheus_buckets`
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function, which converts `vmrange` buckets to Prometheus-style buckets with `le` labels. This is useful for building heatmaps in Grafana.
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Additionally, its' `histogram_quantile` function transparently handles histogram buckets with `vmrange` labels.
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