Add a package promauto that provides auto-registering metrics

Finally, I found an easy solution to provide the "evil"
auto-registration without getting death threats from the wardens of Go
purity. The reasoning can be found in the package's doc comment.
This commit is contained in:
beorn7 2018-02-15 21:12:30 +01:00
parent fcc130e101
commit b82bcfe55f
2 changed files with 211 additions and 2 deletions

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@ -14,7 +14,9 @@
// Package prometheus is the core instrumentation package. It provides metrics // Package prometheus is the core instrumentation package. It provides metrics
// primitives to instrument code for monitoring. It also offers a registry for // primitives to instrument code for monitoring. It also offers a registry for
// metrics. Sub-packages allow to expose the registered metrics via HTTP // metrics. Sub-packages allow to expose the registered metrics via HTTP
// (package promhttp) or push them to a Pushgateway (package push). // (package promhttp) or push them to a Pushgateway (package push). There is
// also a sub-package promauto, which provides metrics constructors with
// automatic registration.
// //
// All exported functions and methods are safe to be used concurrently unless // All exported functions and methods are safe to be used concurrently unless
// specified otherwise. // specified otherwise.
@ -72,7 +74,10 @@
// The number of exported identifiers in this package might appear a bit // The number of exported identifiers in this package might appear a bit
// overwhelming. However, in addition to the basic plumbing shown in the example // overwhelming. However, in addition to the basic plumbing shown in the example
// above, you only need to understand the different metric types and their // above, you only need to understand the different metric types and their
// vector versions for basic usage. // vector versions for basic usage. Furthermore, if you are not concerned with
// fine-grained control of when and how to register metrics with the registry,
// have a look at the promauto package, which will effectively allow you to
// ignore registration altogether in simple cases.
// //
// Above, you have already touched the Counter and the Gauge. There are two more // Above, you have already touched the Counter and the Gauge. There are two more
// advanced metric types: the Summary and Histogram. A more thorough description // advanced metric types: the Summary and Histogram. A more thorough description

204
prometheus/promauto/auto.go Normal file
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@ -0,0 +1,204 @@
// Copyright 2018 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
// Package promauto provides constructors for the usual Prometheus metrics that
// return them already registered with the global registry
// (prometheus.DefaultRegisterer). This allows very compact code, avoiding any
// references to the registry altogether, but all the constructors in this
// package will panic if the registration fails.
//
// The following example is a complete program to create a histogram of normally
// distributed random numbers from the math/rand package:
//
// package main
//
// import (
// "math/rand"
// "net/http"
//
// "github.com/prometheus/client_golang/prometheus"
// "github.com/prometheus/client_golang/prometheus/promauto"
// "github.com/prometheus/client_golang/prometheus/promhttp"
// )
//
// var histogram = promauto.NewHistogram(prometheus.HistogramOpts{
// Name: "random_numbers",
// Help: "A histogram of normally distributed random numbers.",
// Buckets: prometheus.LinearBuckets(-3, .1, 61),
// })
//
// func Random() {
// for {
// histogram.Observe(rand.NormFloat64())
// }
// }
//
// func main() {
// go Random()
// http.Handle("/metrics", promhttp.Handler())
// http.ListenAndServe(":1971", nil)
// }
//
// Prometheus's version of a minimal hello-world program:
//
// package main
//
// import (
// "fmt"
// "net/http"
//
// "github.com/prometheus/client_golang/prometheus"
// "github.com/prometheus/client_golang/prometheus/promauto"
// "github.com/prometheus/client_golang/prometheus/promhttp"
// )
//
// func main() {
// http.Handle("/", promhttp.InstrumentHandlerCounter(
// promauto.NewCounterVec(
// prometheus.CounterOpts{
// Name: "hello_requests_total",
// Help: "Total number of hello-world requests by HTTP code.",
// },
// []string{"code"},
// ),
// http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
// fmt.Fprint(w, "Hello, world!")
// }),
// ))
// http.Handle("/metrics", promhttp.Handler())
// http.ListenAndServe(":1971", nil)
// }
//
// This appears very handy. So why are these constructors locked away in a
// separate package? There are two caveats:
//
// First, in more complex programs, global state is often quite problematic.
// That's the reason why the metrics constructors in the prometheus package do
// not interact with the global prometheus.DefaultRegisterer on their own. You
// are free to use the Register or MustRegister functions to register them with
// the global prometheus.DefaultRegisterer, but you could as well choose a local
// Registerer (usually created with prometheus.NewRegistry, but there are other
// scenarios, e.g. testing).
//
// The second issue is that registration may fail, e.g. if a metric inconsistent
// with the newly to be registered one is already registered. But how to signal
// and handle a panic in the automatic registration with the default registry?
// The only way is panicking. While panicking on invalid input provided by the
// programmer is certainly fine, things are a bit more subtle in this case: You
// might just add another package to the program, and that package (in its init
// function) happens to register a metric with the same name as your code. Now,
// all of a sudden, either your code or the code of the newly imported package
// panics, depending on initialization order, without any opportunity to handle
// the case gracefully. Even worse is a scenario where registration happens
// later during the runtime (e.g. upon loading some kind of plugin), where the
// panic could be triggered long after the code has been deployed to
// production. A possibility to panic should be explicitly called out by the
// Must… idiom, cf. prometheus.MustRegister. But adding a separate set of
// constructors in the prometheus package called MustRegisterNewCounterVec or
// similar would be quite unwieldy. Adding an extra MustRegister method to each
// metric, returning the registered metric, would result in nice code for those
// using the method, but would pollute every single metric interface for
// everybody avoiding the global registry.
//
// To address both issues, the problematic auto-registering and possibly
// panicking constructors are all in this package with a clear warning
// ahead. And whoever cares about avoiding global state and possibly panicking
// function calls can simply ignore the existence of the promauto package
// altogether.
//
// A final note: There is a similar case in the net/http package of the standard
// library. It has DefaultServeMux as a global instance of ServeMux, and the
// Handle function acts on it, panicking if a handler for the same pattern has
// already been registered. However, one might argue that the whole HTTP routing
// is usually set up closely together in the same package or file, while
// Prometheus metrics tend to be spread widely over the codebase, increasing the
// chance of surprising registration failures. Furthermore, the use of global
// state in net/http has been criticized widely, and some avoid it altogether.
package promauto
import "github.com/prometheus/client_golang/prometheus"
// NewCounter works like the function of the same name in the prometheus package
// but it automatically registers the Counter with the
// prometheus.DefaultRegisterer. If the registration fails, NewCounter panics.
func NewCounter(opts prometheus.CounterOpts) prometheus.Counter {
c := prometheus.NewCounter(opts)
prometheus.MustRegister(c)
return c
}
// NewCounterVec works like the function of the same name in the prometheus
// package but it automatically registers the CounterVec with the
// prometheus.DefaultRegisterer. If the registration fails, NewCounterVec
// panics.
func NewCounterVec(opts prometheus.CounterOpts, labelNames []string) *prometheus.CounterVec {
c := prometheus.NewCounterVec(opts, labelNames)
prometheus.MustRegister(c)
return c
}
// NewGauge works like the function of the same name in the prometheus package
// but it automatically registers the Gauge with the
// prometheus.DefaultRegisterer. If the registration fails, NewGauge panics.
func NewGauge(opts prometheus.GaugeOpts) prometheus.Gauge {
g := prometheus.NewGauge(opts)
prometheus.MustRegister(g)
return g
}
// NewGaugeVec works like the function of the same name in the prometheus
// package but it automatically registers the GaugeVec with the
// prometheus.DefaultRegisterer. If the registration fails, NewGaugeVec panics.
func NewGaugeVec(opts prometheus.GaugeOpts, labelNames []string) *prometheus.GaugeVec {
g := prometheus.NewGaugeVec(opts, labelNames)
prometheus.MustRegister(g)
return g
}
// NewSummary works like the function of the same name in the prometheus package
// but it automatically registers the Summary with the
// prometheus.DefaultRegisterer. If the registration fails, NewSummary panics.
func NewSummary(opts prometheus.SummaryOpts) prometheus.Summary {
s := prometheus.NewSummary(opts)
prometheus.MustRegister(s)
return s
}
// NewSummaryVec works like the function of the same name in the prometheus
// package but it automatically registers the SummaryVec with the
// prometheus.DefaultRegisterer. If the registration fails, NewSummaryVec
// panics.
func NewSummaryVec(opts prometheus.SummaryOpts, labelNames []string) *prometheus.SummaryVec {
s := prometheus.NewSummaryVec(opts, labelNames)
prometheus.MustRegister(s)
return s
}
// NewHistogram works like the function of the same name in the prometheus
// package but it automatically registers the Histogram with the
// prometheus.DefaultRegisterer. If the registration fails, NewHistogram panics.
func NewHistogram(opts prometheus.HistogramOpts) prometheus.Histogram {
h := prometheus.NewHistogram(opts)
prometheus.MustRegister(h)
return h
}
// NewHistogramVec works like the function of the same name in the prometheus
// package but it automatically registers the HistogramVec with the
// prometheus.DefaultRegisterer. If the registration fails, NewHistogramVec
// panics.
func NewHistogramVec(opts prometheus.HistogramOpts, labelNames []string) *prometheus.HistogramVec {
h := prometheus.NewHistogramVec(opts, labelNames)
prometheus.MustRegister(h)
return h
}