forked from mirror/client_golang
Merge pull request #713 from prometheus/beorn7/promauto
Add a "factory" to make promauto work for custom registries
This commit is contained in:
Björn Rabenstein
GitHub
commit
b25ce2693a
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@ -84,25 +84,21 @@
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// of those four metric types can be found in the Prometheus docs:
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// https://prometheus.io/docs/concepts/metric_types/
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//
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// A fifth "type" of metric is Untyped. It behaves like a Gauge, but signals the
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// Prometheus server not to assume anything about its type.
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//
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// In addition to the fundamental metric types Gauge, Counter, Summary,
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// Histogram, and Untyped, a very important part of the Prometheus data model is
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// the partitioning of samples along dimensions called labels, which results in
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// In addition to the fundamental metric types Gauge, Counter, Summary, and
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// Histogram, a very important part of the Prometheus data model is the
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// partitioning of samples along dimensions called labels, which results in
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// metric vectors. The fundamental types are GaugeVec, CounterVec, SummaryVec,
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// HistogramVec, and UntypedVec.
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// and HistogramVec.
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//
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// While only the fundamental metric types implement the Metric interface, both
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// the metrics and their vector versions implement the Collector interface. A
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// Collector manages the collection of a number of Metrics, but for convenience,
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// a Metric can also “collect itself”. Note that Gauge, Counter, Summary,
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// Histogram, and Untyped are interfaces themselves while GaugeVec, CounterVec,
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// SummaryVec, HistogramVec, and UntypedVec are not.
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// a Metric can also “collect itself”. Note that Gauge, Counter, Summary, and
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// Histogram are interfaces themselves while GaugeVec, CounterVec, SummaryVec,
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// and HistogramVec are not.
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//
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// To create instances of Metrics and their vector versions, you need a suitable
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// …Opts struct, i.e. GaugeOpts, CounterOpts, SummaryOpts, HistogramOpts, or
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// UntypedOpts.
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// …Opts struct, i.e. GaugeOpts, CounterOpts, SummaryOpts, or HistogramOpts.
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//
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// Custom Collectors and constant Metrics
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//
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@ -118,13 +114,16 @@
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// existing numbers into Prometheus Metrics during collection. An own
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// implementation of the Collector interface is perfect for that. You can create
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// Metric instances “on the fly” using NewConstMetric, NewConstHistogram, and
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// NewConstSummary (and their respective Must… versions). That will happen in
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// the Collect method. The Describe method has to return separate Desc
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// instances, representative of the “throw-away” metrics to be created later.
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// NewDesc comes in handy to create those Desc instances. Alternatively, you
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// could return no Desc at all, which will mark the Collector “unchecked”. No
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// checks are performed at registration time, but metric consistency will still
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// be ensured at scrape time, i.e. any inconsistencies will lead to scrape
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// NewConstSummary (and their respective Must… versions). NewConstMetric is used
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// for all metric types with just a float64 as their value: Counter, Gauge, and
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// a special “type” called Untyped. Use the latter if you are not sure if the
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// mirrored metric is a Counter or a Gauge. Creation of the Metric instance
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// happens in the Collect method. The Describe method has to return separate
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// Desc instances, representative of the “throw-away” metrics to be created
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// later. NewDesc comes in handy to create those Desc instances. Alternatively,
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// you could return no Desc at all, which will mark the Collector “unchecked”.
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// No checks are performed at registration time, but metric consistency will
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// still be ensured at scrape time, i.e. any inconsistencies will lead to scrape
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// errors. Thus, with unchecked Collectors, the responsibility to not collect
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// metrics that lead to inconsistencies in the total scrape result lies with the
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// implementer of the Collector. While this is not a desirable state, it is
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@ -11,11 +11,16 @@
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// See the License for the specific language governing permissions and
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// limitations under the License.
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// Package promauto provides constructors for the usual Prometheus metrics that
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// return them already registered with the global registry
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// (prometheus.DefaultRegisterer). This allows very compact code, avoiding any
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// references to the registry altogether, but all the constructors in this
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// package will panic if the registration fails.
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// Package promauto provides alternative constructors for the fundamental
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// Prometheus metric types and their …Vec and …Func variants. The difference to
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// their counterparts in the prometheus package is that the promauto
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// constructors return Collectors that are already registered with a
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// registry. There are two sets of constructors. The constructors in the first
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// set are top-level functions, while the constructors in the other set are
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// methods of the Factory type. The top-level function return Collectors
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// registered with the global registry (prometheus.DefaultRegisterer), while the
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// methods return Collectors registered with the registry the Factory was
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// constructed with. All constructors panic if the registration fails.
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//
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// The following example is a complete program to create a histogram of normally
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// distributed random numbers from the math/rand package:
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@ -79,51 +84,78 @@
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// http.ListenAndServe(":1971", nil)
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// }
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//
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// A Factory is created with the With(prometheus.Registerer) function, which
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// enables two usage pattern. With(prometheus.Registerer) can be called once per
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// line:
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//
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// var (
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// reg = prometheus.NewRegistry()
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// randomNumbers = promauto.With(reg).NewHistogram(prometheus.HistogramOpts{
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// Name: "random_numbers",
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// Help: "A histogram of normally distributed random numbers.",
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// Buckets: prometheus.LinearBuckets(-3, .1, 61),
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// })
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// requestCount = promauto.With(reg).NewCounterVec(
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// prometheus.CounterOpts{
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// Name: "http_requests_total",
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// Help: "Total number of HTTP requests by status code end method.",
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// },
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// []string{"code", "method"},
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// )
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// )
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//
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// Or it can be used to create a Factory once to be used multiple times:
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//
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// var (
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// reg = prometheus.NewRegistry()
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// factory = promauto.With(reg)
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// randomNumbers = factory.NewHistogram(prometheus.HistogramOpts{
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// Name: "random_numbers",
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// Help: "A histogram of normally distributed random numbers.",
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// Buckets: prometheus.LinearBuckets(-3, .1, 61),
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// })
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// requestCount = factory.NewCounterVec(
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// prometheus.CounterOpts{
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// Name: "http_requests_total",
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// Help: "Total number of HTTP requests by status code end method.",
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// },
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// []string{"code", "method"},
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// )
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// )
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//
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// This appears very handy. So why are these constructors locked away in a
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// separate package? There are two caveats:
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// separate package?
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//
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// First, in more complex programs, global state is often quite problematic.
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// That's the reason why the metrics constructors in the prometheus package do
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// not interact with the global prometheus.DefaultRegisterer on their own. You
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// are free to use the Register or MustRegister functions to register them with
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// the global prometheus.DefaultRegisterer, but you could as well choose a local
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// Registerer (usually created with prometheus.NewRegistry, but there are other
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// scenarios, e.g. testing).
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// The main problem is that registration may fail, e.g. if a metric inconsistent
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// with the newly to be registered one is already registered. Therefore, the
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// Register method in the prometheus.Registerer interface returns an error, and
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// the same is the case for the top-level prometheus.Register function that
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// registers with the global registry. The prometheus package also provides
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// MustRegister versions for both. They panic if the registration fails, and
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// they clearly call this out by using the Must… idiom. Panicking is a bit
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// problematic here because it doesn't just happen on input provided by the
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// caller that is invalid on its own. Things are a bit more subtle here: Metric
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// creation and registration tend to be spread widely over the codebase. It can
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// easily happen that an incompatible metric is added to an unrelated part of
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// the code, and suddenly code that used to work perfectly fine starts to panic
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// (provided that the registration of the newly added metric happens before the
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// registration of the previously existing metric). This may come as an even
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// bigger surprise with the global registry, where simply importing another
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// package can trigger a panic (if the newly imported package registers metrics
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// in its init function). At least, in the prometheus package, creation of
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// metrics and other collectors is separate from registration. You first create
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// the metric, and then you decide explicitly if you want to register it with a
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// local or the global registry, and if you want to handle the error or risk a
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// panic. With the constructors in the promauto package, registration is
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// automatic, and if it fails, it will always panic. Furthermore, the
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// constructors will often be called in the var section of a file, which means
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// that panicking will happen as a side effect of merely importing a package.
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//
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// The second issue is that registration may fail, e.g. if a metric inconsistent
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// with the newly to be registered one is already registered. But how to signal
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// and handle a panic in the automatic registration with the default registry?
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// The only way is panicking. While panicking on invalid input provided by the
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// programmer is certainly fine, things are a bit more subtle in this case: You
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// might just add another package to the program, and that package (in its init
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// function) happens to register a metric with the same name as your code. Now,
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// all of a sudden, either your code or the code of the newly imported package
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// panics, depending on initialization order, without any opportunity to handle
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// the case gracefully. Even worse is a scenario where registration happens
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// later during the runtime (e.g. upon loading some kind of plugin), where the
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// panic could be triggered long after the code has been deployed to
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// production. A possibility to panic should be explicitly called out by the
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// Must… idiom, cf. prometheus.MustRegister. But adding a separate set of
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// constructors in the prometheus package called MustRegisterNewCounterVec or
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// similar would be quite unwieldy. Adding an extra MustRegister method to each
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// metric, returning the registered metric, would result in nice code for those
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// using the method, but would pollute every single metric interface for
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// everybody avoiding the global registry.
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// A separate package allows conservative users to entirely ignore it. And
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// whoever wants to use it, will do so explicitly, with an opportunity to read
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// this warning.
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//
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// To address both issues, the problematic auto-registering and possibly
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// panicking constructors are all in this package with a clear warning
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// ahead. And whoever cares about avoiding global state and possibly panicking
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// function calls can simply ignore the existence of the promauto package
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// altogether.
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//
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// A final note: There is a similar case in the net/http package of the standard
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// library. It has DefaultServeMux as a global instance of ServeMux, and the
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// Handle function acts on it, panicking if a handler for the same pattern has
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// already been registered. However, one might argue that the whole HTTP routing
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// is usually set up closely together in the same package or file, while
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// Prometheus metrics tend to be spread widely over the codebase, increasing the
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// chance of surprising registration failures. Furthermore, the use of global
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// state in net/http has been criticized widely, and some avoid it altogether.
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// Enjoy promauto responsibly!
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package promauto
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import "github.com/prometheus/client_golang/prometheus"
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@ -132,9 +164,7 @@ import "github.com/prometheus/client_golang/prometheus"
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// but it automatically registers the Counter with the
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// prometheus.DefaultRegisterer. If the registration fails, NewCounter panics.
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func NewCounter(opts prometheus.CounterOpts) prometheus.Counter {
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c := prometheus.NewCounter(opts)
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prometheus.MustRegister(c)
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return c
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return With(prometheus.DefaultRegisterer).NewCounter(opts)
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}
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// NewCounterVec works like the function of the same name in the prometheus
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@ -142,9 +172,7 @@ func NewCounter(opts prometheus.CounterOpts) prometheus.Counter {
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// prometheus.DefaultRegisterer. If the registration fails, NewCounterVec
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// panics.
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func NewCounterVec(opts prometheus.CounterOpts, labelNames []string) *prometheus.CounterVec {
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c := prometheus.NewCounterVec(opts, labelNames)
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prometheus.MustRegister(c)
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return c
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return With(prometheus.DefaultRegisterer).NewCounterVec(opts, labelNames)
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}
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// NewCounterFunc works like the function of the same name in the prometheus
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@ -152,45 +180,35 @@ func NewCounterVec(opts prometheus.CounterOpts, labelNames []string) *prometheus
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// prometheus.DefaultRegisterer. If the registration fails, NewCounterFunc
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// panics.
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func NewCounterFunc(opts prometheus.CounterOpts, function func() float64) prometheus.CounterFunc {
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g := prometheus.NewCounterFunc(opts, function)
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prometheus.MustRegister(g)
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return g
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return With(prometheus.DefaultRegisterer).NewCounterFunc(opts, function)
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}
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// NewGauge works like the function of the same name in the prometheus package
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// but it automatically registers the Gauge with the
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// prometheus.DefaultRegisterer. If the registration fails, NewGauge panics.
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func NewGauge(opts prometheus.GaugeOpts) prometheus.Gauge {
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g := prometheus.NewGauge(opts)
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prometheus.MustRegister(g)
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return g
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return With(prometheus.DefaultRegisterer).NewGauge(opts)
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}
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// NewGaugeVec works like the function of the same name in the prometheus
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// package but it automatically registers the GaugeVec with the
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// prometheus.DefaultRegisterer. If the registration fails, NewGaugeVec panics.
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func NewGaugeVec(opts prometheus.GaugeOpts, labelNames []string) *prometheus.GaugeVec {
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g := prometheus.NewGaugeVec(opts, labelNames)
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prometheus.MustRegister(g)
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return g
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return With(prometheus.DefaultRegisterer).NewGaugeVec(opts, labelNames)
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}
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// NewGaugeFunc works like the function of the same name in the prometheus
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// package but it automatically registers the GaugeFunc with the
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// prometheus.DefaultRegisterer. If the registration fails, NewGaugeFunc panics.
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func NewGaugeFunc(opts prometheus.GaugeOpts, function func() float64) prometheus.GaugeFunc {
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g := prometheus.NewGaugeFunc(opts, function)
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prometheus.MustRegister(g)
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return g
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return With(prometheus.DefaultRegisterer).NewGaugeFunc(opts, function)
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}
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// NewSummary works like the function of the same name in the prometheus package
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// but it automatically registers the Summary with the
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// prometheus.DefaultRegisterer. If the registration fails, NewSummary panics.
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func NewSummary(opts prometheus.SummaryOpts) prometheus.Summary {
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s := prometheus.NewSummary(opts)
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prometheus.MustRegister(s)
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return s
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return With(prometheus.DefaultRegisterer).NewSummary(opts)
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}
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// NewSummaryVec works like the function of the same name in the prometheus
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@ -198,18 +216,14 @@ func NewSummary(opts prometheus.SummaryOpts) prometheus.Summary {
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// prometheus.DefaultRegisterer. If the registration fails, NewSummaryVec
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// panics.
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func NewSummaryVec(opts prometheus.SummaryOpts, labelNames []string) *prometheus.SummaryVec {
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s := prometheus.NewSummaryVec(opts, labelNames)
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prometheus.MustRegister(s)
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return s
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return With(prometheus.DefaultRegisterer).NewSummaryVec(opts, labelNames)
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}
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// NewHistogram works like the function of the same name in the prometheus
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// package but it automatically registers the Histogram with the
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// prometheus.DefaultRegisterer. If the registration fails, NewHistogram panics.
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func NewHistogram(opts prometheus.HistogramOpts) prometheus.Histogram {
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h := prometheus.NewHistogram(opts)
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prometheus.MustRegister(h)
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return h
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return With(prometheus.DefaultRegisterer).NewHistogram(opts)
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}
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// NewHistogramVec works like the function of the same name in the prometheus
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@ -217,7 +231,144 @@ func NewHistogram(opts prometheus.HistogramOpts) prometheus.Histogram {
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// prometheus.DefaultRegisterer. If the registration fails, NewHistogramVec
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// panics.
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func NewHistogramVec(opts prometheus.HistogramOpts, labelNames []string) *prometheus.HistogramVec {
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h := prometheus.NewHistogramVec(opts, labelNames)
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prometheus.MustRegister(h)
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return With(prometheus.DefaultRegisterer).NewHistogramVec(opts, labelNames)
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}
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// NewUntypedFunc works like the function of the same name in the prometheus
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// package but it automatically registers the UntypedFunc with the
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// prometheus.DefaultRegisterer. If the registration fails, NewUntypedFunc
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// panics.
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func NewUntypedFunc(opts prometheus.UntypedOpts, function func() float64) prometheus.UntypedFunc {
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return With(prometheus.DefaultRegisterer).NewUntypedFunc(opts, function)
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}
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|
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// Factory provides factory methods to create Collectors that are automatically
|
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// registered with a Registerer. Create a Factory with the With function,
|
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// providing a Registerer to auto-register created Collectors with. The zero
|
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// value of a Factory creates Collectors that are not registered with any
|
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// Registerer. All methods of the Factory panic if the registration fails.
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type Factory struct {
|
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r prometheus.Registerer
|
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}
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// With creates a Factory using the provided Registerer for registration of the
|
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// created Collectors.
|
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func With(r prometheus.Registerer) Factory { return Factory{r} }
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|
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// NewCounter works like the function of the same name in the prometheus package
|
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// but it automatically registers the Counter with the Factory's Registerer.
|
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func (f Factory) NewCounter(opts prometheus.CounterOpts) prometheus.Counter {
|
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c := prometheus.NewCounter(opts)
|
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if f.r != nil {
|
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f.r.MustRegister(c)
|
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}
|
||||
return c
|
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}
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|
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// NewCounterVec works like the function of the same name in the prometheus
|
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// package but it automatically registers the CounterVec with the Factory's
|
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// Registerer.
|
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func (f Factory) NewCounterVec(opts prometheus.CounterOpts, labelNames []string) *prometheus.CounterVec {
|
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c := prometheus.NewCounterVec(opts, labelNames)
|
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if f.r != nil {
|
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f.r.MustRegister(c)
|
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}
|
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return c
|
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}
|
||||
|
||||
// NewCounterFunc works like the function of the same name in the prometheus
|
||||
// package but it automatically registers the CounterFunc with the Factory's
|
||||
// Registerer.
|
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func (f Factory) NewCounterFunc(opts prometheus.CounterOpts, function func() float64) prometheus.CounterFunc {
|
||||
c := prometheus.NewCounterFunc(opts, function)
|
||||
if f.r != nil {
|
||||
f.r.MustRegister(c)
|
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}
|
||||
return c
|
||||
}
|
||||
|
||||
// NewGauge works like the function of the same name in the prometheus package
|
||||
// but it automatically registers the Gauge with the Factory's Registerer.
|
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func (f Factory) NewGauge(opts prometheus.GaugeOpts) prometheus.Gauge {
|
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g := prometheus.NewGauge(opts)
|
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if f.r != nil {
|
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f.r.MustRegister(g)
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}
|
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return g
|
||||
}
|
||||
|
||||
// NewGaugeVec works like the function of the same name in the prometheus
|
||||
// package but it automatically registers the GaugeVec with the Factory's
|
||||
// Registerer.
|
||||
func (f Factory) NewGaugeVec(opts prometheus.GaugeOpts, labelNames []string) *prometheus.GaugeVec {
|
||||
g := prometheus.NewGaugeVec(opts, labelNames)
|
||||
if f.r != nil {
|
||||
f.r.MustRegister(g)
|
||||
}
|
||||
return g
|
||||
}
|
||||
|
||||
// NewGaugeFunc works like the function of the same name in the prometheus
|
||||
// package but it automatically registers the GaugeFunc with the Factory's
|
||||
// Registerer.
|
||||
func (f Factory) NewGaugeFunc(opts prometheus.GaugeOpts, function func() float64) prometheus.GaugeFunc {
|
||||
g := prometheus.NewGaugeFunc(opts, function)
|
||||
if f.r != nil {
|
||||
f.r.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 Factory's Registerer.
|
||||
func (f Factory) NewSummary(opts prometheus.SummaryOpts) prometheus.Summary {
|
||||
s := prometheus.NewSummary(opts)
|
||||
if f.r != nil {
|
||||
f.r.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 Factory's
|
||||
// Registerer.
|
||||
func (f Factory) NewSummaryVec(opts prometheus.SummaryOpts, labelNames []string) *prometheus.SummaryVec {
|
||||
s := prometheus.NewSummaryVec(opts, labelNames)
|
||||
if f.r != nil {
|
||||
f.r.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 Factory's
|
||||
// Registerer.
|
||||
func (f Factory) NewHistogram(opts prometheus.HistogramOpts) prometheus.Histogram {
|
||||
h := prometheus.NewHistogram(opts)
|
||||
if f.r != nil {
|
||||
f.r.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 Factory's
|
||||
// Registerer.
|
||||
func (f Factory) NewHistogramVec(opts prometheus.HistogramOpts, labelNames []string) *prometheus.HistogramVec {
|
||||
h := prometheus.NewHistogramVec(opts, labelNames)
|
||||
if f.r != nil {
|
||||
f.r.MustRegister(h)
|
||||
}
|
||||
return h
|
||||
}
|
||||
|
||||
// NewUntypedFunc works like the function of the same name in the prometheus
|
||||
// package but it automatically registers the UntypedFunc with the Factory's
|
||||
// Registerer.
|
||||
func (f Factory) NewUntypedFunc(opts prometheus.UntypedOpts, function func() float64) prometheus.UntypedFunc {
|
||||
u := prometheus.NewUntypedFunc(opts, function)
|
||||
if f.r != nil {
|
||||
f.r.MustRegister(u)
|
||||
}
|
||||
return u
|
||||
}
|
||||
|
|
|
|||
|
|
@ -28,7 +28,8 @@ import (
|
|||
// ValueType is an enumeration of metric types that represent a simple value.
|
||||
type ValueType int
|
||||
|
||||
// Possible values for the ValueType enum.
|
||||
// Possible values for the ValueType enum. Use UntypedValue to mark a metric
|
||||
// with an unknown type.
|
||||
const (
|
||||
_ ValueType = iota
|
||||
CounterValue
|
||||
|
|
|
|||
Loading…
Reference in New Issue