⚙️ Add ability to build from Dockerfiles directly

This commit is contained in:
Ettore Di Giacinto
2022-04-26 19:24:31 +02:00
committed by mudler
parent 4e2a2adfc1
commit e70a543f42
457 changed files with 33148 additions and 4999 deletions

View File

@@ -1 +1 @@
See [![go-doc](https://godoc.org/github.com/prometheus/client_golang/prometheus?status.svg)](https://godoc.org/github.com/prometheus/client_golang/prometheus).
See [![Go Reference](https://pkg.go.dev/badge/github.com/prometheus/client_golang/prometheus.svg)](https://pkg.go.dev/github.com/prometheus/client_golang/prometheus).

View File

@@ -1,4 +1,4 @@
// Copyright 2019 The Prometheus Authors
// Copyright 2021 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
@@ -11,19 +11,28 @@
// See the License for the specific language governing permissions and
// limitations under the License.
// +build go1.12
package prometheus
import "runtime/debug"
// readBuildInfo is a wrapper around debug.ReadBuildInfo for Go 1.12+.
func readBuildInfo() (path, version, sum string) {
path, version, sum = "unknown", "unknown", "unknown"
// NewBuildInfoCollector is the obsolete version of collectors.NewBuildInfoCollector.
// See there for documentation.
//
// Deprecated: Use collectors.NewBuildInfoCollector instead.
func NewBuildInfoCollector() Collector {
path, version, sum := "unknown", "unknown", "unknown"
if bi, ok := debug.ReadBuildInfo(); ok {
path = bi.Main.Path
version = bi.Main.Version
sum = bi.Main.Sum
}
return
c := &selfCollector{MustNewConstMetric(
NewDesc(
"go_build_info",
"Build information about the main Go module.",
nil, Labels{"path": path, "version": version, "checksum": sum},
),
GaugeValue, 1)}
c.init(c.self)
return c
}

View File

@@ -118,3 +118,11 @@ func (c *selfCollector) Describe(ch chan<- *Desc) {
func (c *selfCollector) Collect(ch chan<- Metric) {
ch <- c.self
}
// collectorMetric is a metric that is also a collector.
// Because of selfCollector, most (if not all) Metrics in
// this package are also collectors.
type collectorMetric interface {
Metric
Collector
}

View File

@@ -133,10 +133,14 @@ func (c *counter) Inc() {
atomic.AddUint64(&c.valInt, 1)
}
func (c *counter) Write(out *dto.Metric) error {
func (c *counter) get() float64 {
fval := math.Float64frombits(atomic.LoadUint64(&c.valBits))
ival := atomic.LoadUint64(&c.valInt)
val := fval + float64(ival)
return fval + float64(ival)
}
func (c *counter) Write(out *dto.Metric) error {
val := c.get()
var exemplar *dto.Exemplar
if e := c.exemplar.Load(); e != nil {
@@ -163,7 +167,7 @@ func (c *counter) updateExemplar(v float64, l Labels) {
// (e.g. number of HTTP requests, partitioned by response code and
// method). Create instances with NewCounterVec.
type CounterVec struct {
*metricVec
*MetricVec
}
// NewCounterVec creates a new CounterVec based on the provided CounterOpts and
@@ -176,11 +180,11 @@ func NewCounterVec(opts CounterOpts, labelNames []string) *CounterVec {
opts.ConstLabels,
)
return &CounterVec{
metricVec: newMetricVec(desc, func(lvs ...string) Metric {
MetricVec: NewMetricVec(desc, func(lvs ...string) Metric {
if len(lvs) != len(desc.variableLabels) {
panic(makeInconsistentCardinalityError(desc.fqName, desc.variableLabels, lvs))
}
result := &counter{desc: desc, labelPairs: makeLabelPairs(desc, lvs), now: time.Now}
result := &counter{desc: desc, labelPairs: MakeLabelPairs(desc, lvs), now: time.Now}
result.init(result) // Init self-collection.
return result
}),
@@ -188,7 +192,7 @@ func NewCounterVec(opts CounterOpts, labelNames []string) *CounterVec {
}
// GetMetricWithLabelValues returns the Counter for the given slice of label
// values (same order as the VariableLabels in Desc). If that combination of
// values (same order as the variable labels in Desc). If that combination of
// label values is accessed for the first time, a new Counter is created.
//
// It is possible to call this method without using the returned Counter to only
@@ -202,7 +206,7 @@ func NewCounterVec(opts CounterOpts, labelNames []string) *CounterVec {
// Counter with the same label values is created later.
//
// An error is returned if the number of label values is not the same as the
// number of VariableLabels in Desc (minus any curried labels).
// number of variable labels in Desc (minus any curried labels).
//
// Note that for more than one label value, this method is prone to mistakes
// caused by an incorrect order of arguments. Consider GetMetricWith(Labels) as
@@ -211,7 +215,7 @@ func NewCounterVec(opts CounterOpts, labelNames []string) *CounterVec {
// with a performance overhead (for creating and processing the Labels map).
// See also the GaugeVec example.
func (v *CounterVec) GetMetricWithLabelValues(lvs ...string) (Counter, error) {
metric, err := v.metricVec.getMetricWithLabelValues(lvs...)
metric, err := v.MetricVec.GetMetricWithLabelValues(lvs...)
if metric != nil {
return metric.(Counter), err
}
@@ -219,19 +223,19 @@ func (v *CounterVec) GetMetricWithLabelValues(lvs ...string) (Counter, error) {
}
// GetMetricWith returns the Counter for the given Labels map (the label names
// must match those of the VariableLabels in Desc). If that label map is
// must match those of the variable labels in Desc). If that label map is
// accessed for the first time, a new Counter is created. Implications of
// creating a Counter without using it and keeping the Counter for later use are
// the same as for GetMetricWithLabelValues.
//
// An error is returned if the number and names of the Labels are inconsistent
// with those of the VariableLabels in Desc (minus any curried labels).
// with those of the variable labels in Desc (minus any curried labels).
//
// This method is used for the same purpose as
// GetMetricWithLabelValues(...string). See there for pros and cons of the two
// methods.
func (v *CounterVec) GetMetricWith(labels Labels) (Counter, error) {
metric, err := v.metricVec.getMetricWith(labels)
metric, err := v.MetricVec.GetMetricWith(labels)
if metric != nil {
return metric.(Counter), err
}
@@ -275,7 +279,7 @@ func (v *CounterVec) With(labels Labels) Counter {
// registered with a given registry (usually the uncurried version). The Reset
// method deletes all metrics, even if called on a curried vector.
func (v *CounterVec) CurryWith(labels Labels) (*CounterVec, error) {
vec, err := v.curryWith(labels)
vec, err := v.MetricVec.CurryWith(labels)
if vec != nil {
return &CounterVec{vec}, err
}

View File

@@ -20,7 +20,7 @@ import (
"strings"
"github.com/cespare/xxhash/v2"
//lint:ignore SA1019 Need to keep deprecated package for compatibility.
//nolint:staticcheck // Ignore SA1019. Need to keep deprecated package for compatibility.
"github.com/golang/protobuf/proto"
"github.com/prometheus/common/model"
@@ -51,7 +51,7 @@ type Desc struct {
// constLabelPairs contains precalculated DTO label pairs based on
// the constant labels.
constLabelPairs []*dto.LabelPair
// VariableLabels contains names of labels for which the metric
// variableLabels contains names of labels for which the metric
// maintains variable values.
variableLabels []string
// id is a hash of the values of the ConstLabels and fqName. This

View File

@@ -22,43 +22,10 @@ type expvarCollector struct {
exports map[string]*Desc
}
// NewExpvarCollector returns a newly allocated expvar Collector that still has
// to be registered with a Prometheus registry.
// NewExpvarCollector is the obsolete version of collectors.NewExpvarCollector.
// See there for documentation.
//
// An expvar Collector collects metrics from the expvar interface. It provides a
// quick way to expose numeric values that are already exported via expvar as
// Prometheus metrics. Note that the data models of expvar and Prometheus are
// fundamentally different, and that the expvar Collector is inherently slower
// than native Prometheus metrics. Thus, the expvar Collector is probably great
// for experiments and prototying, but you should seriously consider a more
// direct implementation of Prometheus metrics for monitoring production
// systems.
//
// The exports map has the following meaning:
//
// The keys in the map correspond to expvar keys, i.e. for every expvar key you
// want to export as Prometheus metric, you need an entry in the exports
// map. The descriptor mapped to each key describes how to export the expvar
// value. It defines the name and the help string of the Prometheus metric
// proxying the expvar value. The type will always be Untyped.
//
// For descriptors without variable labels, the expvar value must be a number or
// a bool. The number is then directly exported as the Prometheus sample
// value. (For a bool, 'false' translates to 0 and 'true' to 1). Expvar values
// that are not numbers or bools are silently ignored.
//
// If the descriptor has one variable label, the expvar value must be an expvar
// map. The keys in the expvar map become the various values of the one
// Prometheus label. The values in the expvar map must be numbers or bools again
// as above.
//
// For descriptors with more than one variable label, the expvar must be a
// nested expvar map, i.e. where the values of the topmost map are maps again
// etc. until a depth is reached that corresponds to the number of labels. The
// leaves of that structure must be numbers or bools as above to serve as the
// sample values.
//
// Anything that does not fit into the scheme above is silently ignored.
// Deprecated: Use collectors.NewExpvarCollector instead.
func NewExpvarCollector(exports map[string]*Desc) Collector {
return &expvarCollector{
exports: exports,

View File

@@ -132,7 +132,7 @@ func (g *gauge) Write(out *dto.Metric) error {
// (e.g. number of operations queued, partitioned by user and operation
// type). Create instances with NewGaugeVec.
type GaugeVec struct {
*metricVec
*MetricVec
}
// NewGaugeVec creates a new GaugeVec based on the provided GaugeOpts and
@@ -145,11 +145,11 @@ func NewGaugeVec(opts GaugeOpts, labelNames []string) *GaugeVec {
opts.ConstLabels,
)
return &GaugeVec{
metricVec: newMetricVec(desc, func(lvs ...string) Metric {
MetricVec: NewMetricVec(desc, func(lvs ...string) Metric {
if len(lvs) != len(desc.variableLabels) {
panic(makeInconsistentCardinalityError(desc.fqName, desc.variableLabels, lvs))
}
result := &gauge{desc: desc, labelPairs: makeLabelPairs(desc, lvs)}
result := &gauge{desc: desc, labelPairs: MakeLabelPairs(desc, lvs)}
result.init(result) // Init self-collection.
return result
}),
@@ -157,7 +157,7 @@ func NewGaugeVec(opts GaugeOpts, labelNames []string) *GaugeVec {
}
// GetMetricWithLabelValues returns the Gauge for the given slice of label
// values (same order as the VariableLabels in Desc). If that combination of
// values (same order as the variable labels in Desc). If that combination of
// label values is accessed for the first time, a new Gauge is created.
//
// It is possible to call this method without using the returned Gauge to only
@@ -172,7 +172,7 @@ func NewGaugeVec(opts GaugeOpts, labelNames []string) *GaugeVec {
// example.
//
// An error is returned if the number of label values is not the same as the
// number of VariableLabels in Desc (minus any curried labels).
// number of variable labels in Desc (minus any curried labels).
//
// Note that for more than one label value, this method is prone to mistakes
// caused by an incorrect order of arguments. Consider GetMetricWith(Labels) as
@@ -180,7 +180,7 @@ func NewGaugeVec(opts GaugeOpts, labelNames []string) *GaugeVec {
// latter has a much more readable (albeit more verbose) syntax, but it comes
// with a performance overhead (for creating and processing the Labels map).
func (v *GaugeVec) GetMetricWithLabelValues(lvs ...string) (Gauge, error) {
metric, err := v.metricVec.getMetricWithLabelValues(lvs...)
metric, err := v.MetricVec.GetMetricWithLabelValues(lvs...)
if metric != nil {
return metric.(Gauge), err
}
@@ -188,19 +188,19 @@ func (v *GaugeVec) GetMetricWithLabelValues(lvs ...string) (Gauge, error) {
}
// GetMetricWith returns the Gauge for the given Labels map (the label names
// must match those of the VariableLabels in Desc). If that label map is
// must match those of the variable labels in Desc). If that label map is
// accessed for the first time, a new Gauge is created. Implications of
// creating a Gauge without using it and keeping the Gauge for later use are
// the same as for GetMetricWithLabelValues.
//
// An error is returned if the number and names of the Labels are inconsistent
// with those of the VariableLabels in Desc (minus any curried labels).
// with those of the variable labels in Desc (minus any curried labels).
//
// This method is used for the same purpose as
// GetMetricWithLabelValues(...string). See there for pros and cons of the two
// methods.
func (v *GaugeVec) GetMetricWith(labels Labels) (Gauge, error) {
metric, err := v.metricVec.getMetricWith(labels)
metric, err := v.MetricVec.GetMetricWith(labels)
if metric != nil {
return metric.(Gauge), err
}
@@ -244,7 +244,7 @@ func (v *GaugeVec) With(labels Labels) Gauge {
// registered with a given registry (usually the uncurried version). The Reset
// method deletes all metrics, even if called on a curried vector.
func (v *GaugeVec) CurryWith(labels Labels) (*GaugeVec, error) {
vec, err := v.curryWith(labels)
vec, err := v.MetricVec.CurryWith(labels)
if vec != nil {
return &GaugeVec{vec}, err
}

View File

@@ -16,53 +16,209 @@ package prometheus
import (
"runtime"
"runtime/debug"
"sync"
"time"
)
type goCollector struct {
func goRuntimeMemStats() memStatsMetrics {
return memStatsMetrics{
{
desc: NewDesc(
memstatNamespace("alloc_bytes"),
"Number of bytes allocated and still in use.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.Alloc) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("alloc_bytes_total"),
"Total number of bytes allocated, even if freed.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.TotalAlloc) },
valType: CounterValue,
}, {
desc: NewDesc(
memstatNamespace("sys_bytes"),
"Number of bytes obtained from system.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.Sys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("lookups_total"),
"Total number of pointer lookups.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.Lookups) },
valType: CounterValue,
}, {
desc: NewDesc(
memstatNamespace("mallocs_total"),
"Total number of mallocs.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.Mallocs) },
valType: CounterValue,
}, {
desc: NewDesc(
memstatNamespace("frees_total"),
"Total number of frees.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.Frees) },
valType: CounterValue,
}, {
desc: NewDesc(
memstatNamespace("heap_alloc_bytes"),
"Number of heap bytes allocated and still in use.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapAlloc) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("heap_sys_bytes"),
"Number of heap bytes obtained from system.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("heap_idle_bytes"),
"Number of heap bytes waiting to be used.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapIdle) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("heap_inuse_bytes"),
"Number of heap bytes that are in use.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapInuse) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("heap_released_bytes"),
"Number of heap bytes released to OS.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapReleased) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("heap_objects"),
"Number of allocated objects.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapObjects) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("stack_inuse_bytes"),
"Number of bytes in use by the stack allocator.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.StackInuse) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("stack_sys_bytes"),
"Number of bytes obtained from system for stack allocator.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.StackSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("mspan_inuse_bytes"),
"Number of bytes in use by mspan structures.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.MSpanInuse) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("mspan_sys_bytes"),
"Number of bytes used for mspan structures obtained from system.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.MSpanSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("mcache_inuse_bytes"),
"Number of bytes in use by mcache structures.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.MCacheInuse) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("mcache_sys_bytes"),
"Number of bytes used for mcache structures obtained from system.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.MCacheSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("buck_hash_sys_bytes"),
"Number of bytes used by the profiling bucket hash table.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.BuckHashSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("gc_sys_bytes"),
"Number of bytes used for garbage collection system metadata.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.GCSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("other_sys_bytes"),
"Number of bytes used for other system allocations.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.OtherSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("next_gc_bytes"),
"Number of heap bytes when next garbage collection will take place.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.NextGC) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("gc_cpu_fraction"),
"The fraction of this program's available CPU time used by the GC since the program started.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return ms.GCCPUFraction },
valType: GaugeValue,
},
}
}
type baseGoCollector struct {
goroutinesDesc *Desc
threadsDesc *Desc
gcDesc *Desc
gcLastTimeDesc *Desc
goInfoDesc *Desc
// ms... are memstats related.
msLast *runtime.MemStats // Previously collected memstats.
msLastTimestamp time.Time
msMtx sync.Mutex // Protects msLast and msLastTimestamp.
msMetrics memStatsMetrics
msRead func(*runtime.MemStats) // For mocking in tests.
msMaxWait time.Duration // Wait time for fresh memstats.
msMaxAge time.Duration // Maximum allowed age of old memstats.
}
// NewGoCollector returns a collector that exports metrics about the current Go
// process. This includes memory stats. To collect those, runtime.ReadMemStats
// is called. This requires to “stop the world”, which usually only happens for
// garbage collection (GC). Take the following implications into account when
// deciding whether to use the Go collector:
//
// 1. The performance impact of stopping the world is the more relevant the more
// frequently metrics are collected. However, with Go1.9 or later the
// stop-the-world time per metrics collection is very short (~25µs) so that the
// performance impact will only matter in rare cases. However, with older Go
// versions, the stop-the-world duration depends on the heap size and can be
// quite significant (~1.7 ms/GiB as per
// https://go-review.googlesource.com/c/go/+/34937).
//
// 2. During an ongoing GC, nothing else can stop the world. Therefore, if the
// metrics collection happens to coincide with GC, it will only complete after
// GC has finished. Usually, GC is fast enough to not cause problems. However,
// with a very large heap, GC might take multiple seconds, which is enough to
// cause scrape timeouts in common setups. To avoid this problem, the Go
// collector will use the memstats from a previous collection if
// runtime.ReadMemStats takes more than 1s. However, if there are no previously
// collected memstats, or their collection is more than 5m ago, the collection
// will block until runtime.ReadMemStats succeeds. (The problem might be solved
// in Go1.13, see https://github.com/golang/go/issues/19812 for the related Go
// issue.)
func NewGoCollector() Collector {
return &goCollector{
func newBaseGoCollector() baseGoCollector {
return baseGoCollector{
goroutinesDesc: NewDesc(
"go_goroutines",
"Number of goroutines that currently exist.",
@@ -75,243 +231,28 @@ func NewGoCollector() Collector {
"go_gc_duration_seconds",
"A summary of the pause duration of garbage collection cycles.",
nil, nil),
gcLastTimeDesc: NewDesc(
memstatNamespace("last_gc_time_seconds"),
"Number of seconds since 1970 of last garbage collection.",
nil, nil),
goInfoDesc: NewDesc(
"go_info",
"Information about the Go environment.",
nil, Labels{"version": runtime.Version()}),
msLast: &runtime.MemStats{},
msRead: runtime.ReadMemStats,
msMaxWait: time.Second,
msMaxAge: 5 * time.Minute,
msMetrics: memStatsMetrics{
{
desc: NewDesc(
memstatNamespace("alloc_bytes"),
"Number of bytes allocated and still in use.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.Alloc) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("alloc_bytes_total"),
"Total number of bytes allocated, even if freed.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.TotalAlloc) },
valType: CounterValue,
}, {
desc: NewDesc(
memstatNamespace("sys_bytes"),
"Number of bytes obtained from system.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.Sys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("lookups_total"),
"Total number of pointer lookups.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.Lookups) },
valType: CounterValue,
}, {
desc: NewDesc(
memstatNamespace("mallocs_total"),
"Total number of mallocs.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.Mallocs) },
valType: CounterValue,
}, {
desc: NewDesc(
memstatNamespace("frees_total"),
"Total number of frees.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.Frees) },
valType: CounterValue,
}, {
desc: NewDesc(
memstatNamespace("heap_alloc_bytes"),
"Number of heap bytes allocated and still in use.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapAlloc) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("heap_sys_bytes"),
"Number of heap bytes obtained from system.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("heap_idle_bytes"),
"Number of heap bytes waiting to be used.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapIdle) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("heap_inuse_bytes"),
"Number of heap bytes that are in use.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapInuse) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("heap_released_bytes"),
"Number of heap bytes released to OS.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapReleased) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("heap_objects"),
"Number of allocated objects.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapObjects) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("stack_inuse_bytes"),
"Number of bytes in use by the stack allocator.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.StackInuse) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("stack_sys_bytes"),
"Number of bytes obtained from system for stack allocator.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.StackSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("mspan_inuse_bytes"),
"Number of bytes in use by mspan structures.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.MSpanInuse) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("mspan_sys_bytes"),
"Number of bytes used for mspan structures obtained from system.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.MSpanSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("mcache_inuse_bytes"),
"Number of bytes in use by mcache structures.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.MCacheInuse) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("mcache_sys_bytes"),
"Number of bytes used for mcache structures obtained from system.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.MCacheSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("buck_hash_sys_bytes"),
"Number of bytes used by the profiling bucket hash table.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.BuckHashSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("gc_sys_bytes"),
"Number of bytes used for garbage collection system metadata.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.GCSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("other_sys_bytes"),
"Number of bytes used for other system allocations.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.OtherSys) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("next_gc_bytes"),
"Number of heap bytes when next garbage collection will take place.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.NextGC) },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("last_gc_time_seconds"),
"Number of seconds since 1970 of last garbage collection.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.LastGC) / 1e9 },
valType: GaugeValue,
}, {
desc: NewDesc(
memstatNamespace("gc_cpu_fraction"),
"The fraction of this program's available CPU time used by the GC since the program started.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return ms.GCCPUFraction },
valType: GaugeValue,
},
},
}
}
func memstatNamespace(s string) string {
return "go_memstats_" + s
}
// Describe returns all descriptions of the collector.
func (c *goCollector) Describe(ch chan<- *Desc) {
func (c *baseGoCollector) Describe(ch chan<- *Desc) {
ch <- c.goroutinesDesc
ch <- c.threadsDesc
ch <- c.gcDesc
ch <- c.gcLastTimeDesc
ch <- c.goInfoDesc
for _, i := range c.msMetrics {
ch <- i.desc
}
}
// Collect returns the current state of all metrics of the collector.
func (c *goCollector) Collect(ch chan<- Metric) {
var (
ms = &runtime.MemStats{}
done = make(chan struct{})
)
// Start reading memstats first as it might take a while.
go func() {
c.msRead(ms)
c.msMtx.Lock()
c.msLast = ms
c.msLastTimestamp = time.Now()
c.msMtx.Unlock()
close(done)
}()
func (c *baseGoCollector) Collect(ch chan<- Metric) {
ch <- MustNewConstMetric(c.goroutinesDesc, GaugeValue, float64(runtime.NumGoroutine()))
n, _ := runtime.ThreadCreateProfile(nil)
ch <- MustNewConstMetric(c.threadsDesc, GaugeValue, float64(n))
@@ -326,71 +267,19 @@ func (c *goCollector) Collect(ch chan<- Metric) {
}
quantiles[0.0] = stats.PauseQuantiles[0].Seconds()
ch <- MustNewConstSummary(c.gcDesc, uint64(stats.NumGC), stats.PauseTotal.Seconds(), quantiles)
ch <- MustNewConstMetric(c.gcLastTimeDesc, GaugeValue, float64(stats.LastGC.UnixNano())/1e9)
ch <- MustNewConstMetric(c.goInfoDesc, GaugeValue, 1)
timer := time.NewTimer(c.msMaxWait)
select {
case <-done: // Our own ReadMemStats succeeded in time. Use it.
timer.Stop() // Important for high collection frequencies to not pile up timers.
c.msCollect(ch, ms)
return
case <-timer.C: // Time out, use last memstats if possible. Continue below.
}
c.msMtx.Lock()
if time.Since(c.msLastTimestamp) < c.msMaxAge {
// Last memstats are recent enough. Collect from them under the lock.
c.msCollect(ch, c.msLast)
c.msMtx.Unlock()
return
}
// If we are here, the last memstats are too old or don't exist. We have
// to wait until our own ReadMemStats finally completes. For that to
// happen, we have to release the lock.
c.msMtx.Unlock()
<-done
c.msCollect(ch, ms)
}
func (c *goCollector) msCollect(ch chan<- Metric, ms *runtime.MemStats) {
for _, i := range c.msMetrics {
ch <- MustNewConstMetric(i.desc, i.valType, i.eval(ms))
}
func memstatNamespace(s string) string {
return "go_memstats_" + s
}
// memStatsMetrics provide description, value, and value type for memstat metrics.
// memStatsMetrics provide description, evaluator, runtime/metrics name, and
// value type for memstat metrics.
type memStatsMetrics []struct {
desc *Desc
eval func(*runtime.MemStats) float64
valType ValueType
}
// NewBuildInfoCollector returns a collector collecting a single metric
// "go_build_info" with the constant value 1 and three labels "path", "version",
// and "checksum". Their label values contain the main module path, version, and
// checksum, respectively. The labels will only have meaningful values if the
// binary is built with Go module support and from source code retrieved from
// the source repository (rather than the local file system). This is usually
// accomplished by building from outside of GOPATH, specifying the full address
// of the main package, e.g. "GO111MODULE=on go run
// github.com/prometheus/client_golang/examples/random". If built without Go
// module support, all label values will be "unknown". If built with Go module
// support but using the source code from the local file system, the "path" will
// be set appropriately, but "checksum" will be empty and "version" will be
// "(devel)".
//
// This collector uses only the build information for the main module. See
// https://github.com/povilasv/prommod for an example of a collector for the
// module dependencies.
func NewBuildInfoCollector() Collector {
path, version, sum := readBuildInfo()
c := &selfCollector{MustNewConstMetric(
NewDesc(
"go_build_info",
"Build information about the main Go module.",
nil, Labels{"path": path, "version": version, "checksum": sum},
),
GaugeValue, 1)}
c.init(c.self)
return c
}

View File

@@ -0,0 +1,107 @@
// Copyright 2021 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.
//go:build !go1.17
// +build !go1.17
package prometheus
import (
"runtime"
"sync"
"time"
)
type goCollector struct {
base baseGoCollector
// ms... are memstats related.
msLast *runtime.MemStats // Previously collected memstats.
msLastTimestamp time.Time
msMtx sync.Mutex // Protects msLast and msLastTimestamp.
msMetrics memStatsMetrics
msRead func(*runtime.MemStats) // For mocking in tests.
msMaxWait time.Duration // Wait time for fresh memstats.
msMaxAge time.Duration // Maximum allowed age of old memstats.
}
// NewGoCollector is the obsolete version of collectors.NewGoCollector.
// See there for documentation.
//
// Deprecated: Use collectors.NewGoCollector instead.
func NewGoCollector() Collector {
return &goCollector{
base: newBaseGoCollector(),
msLast: &runtime.MemStats{},
msRead: runtime.ReadMemStats,
msMaxWait: time.Second,
msMaxAge: 5 * time.Minute,
msMetrics: goRuntimeMemStats(),
}
}
// Describe returns all descriptions of the collector.
func (c *goCollector) Describe(ch chan<- *Desc) {
c.base.Describe(ch)
for _, i := range c.msMetrics {
ch <- i.desc
}
}
// Collect returns the current state of all metrics of the collector.
func (c *goCollector) Collect(ch chan<- Metric) {
var (
ms = &runtime.MemStats{}
done = make(chan struct{})
)
// Start reading memstats first as it might take a while.
go func() {
c.msRead(ms)
c.msMtx.Lock()
c.msLast = ms
c.msLastTimestamp = time.Now()
c.msMtx.Unlock()
close(done)
}()
// Collect base non-memory metrics.
c.base.Collect(ch)
timer := time.NewTimer(c.msMaxWait)
select {
case <-done: // Our own ReadMemStats succeeded in time. Use it.
timer.Stop() // Important for high collection frequencies to not pile up timers.
c.msCollect(ch, ms)
return
case <-timer.C: // Time out, use last memstats if possible. Continue below.
}
c.msMtx.Lock()
if time.Since(c.msLastTimestamp) < c.msMaxAge {
// Last memstats are recent enough. Collect from them under the lock.
c.msCollect(ch, c.msLast)
c.msMtx.Unlock()
return
}
// If we are here, the last memstats are too old or don't exist. We have
// to wait until our own ReadMemStats finally completes. For that to
// happen, we have to release the lock.
c.msMtx.Unlock()
<-done
c.msCollect(ch, ms)
}
func (c *goCollector) msCollect(ch chan<- Metric, ms *runtime.MemStats) {
for _, i := range c.msMetrics {
ch <- MustNewConstMetric(i.desc, i.valType, i.eval(ms))
}
}

View File

@@ -0,0 +1,408 @@
// Copyright 2021 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.
//go:build go1.17
// +build go1.17
package prometheus
import (
"math"
"runtime"
"runtime/metrics"
"strings"
"sync"
//nolint:staticcheck // Ignore SA1019. Need to keep deprecated package for compatibility.
"github.com/golang/protobuf/proto"
"github.com/prometheus/client_golang/prometheus/internal"
dto "github.com/prometheus/client_model/go"
)
type goCollector struct {
base baseGoCollector
// mu protects updates to all fields ensuring a consistent
// snapshot is always produced by Collect.
mu sync.Mutex
// rm... fields all pertain to the runtime/metrics package.
rmSampleBuf []metrics.Sample
rmSampleMap map[string]*metrics.Sample
rmMetrics []collectorMetric
// With Go 1.17, the runtime/metrics package was introduced.
// From that point on, metric names produced by the runtime/metrics
// package could be generated from runtime/metrics names. However,
// these differ from the old names for the same values.
//
// This field exist to export the same values under the old names
// as well.
msMetrics memStatsMetrics
}
// NewGoCollector is the obsolete version of collectors.NewGoCollector.
// See there for documentation.
//
// Deprecated: Use collectors.NewGoCollector instead.
func NewGoCollector() Collector {
descriptions := metrics.All()
// Collect all histogram samples so that we can get their buckets.
// The API guarantees that the buckets are always fixed for the lifetime
// of the process.
var histograms []metrics.Sample
for _, d := range descriptions {
if d.Kind == metrics.KindFloat64Histogram {
histograms = append(histograms, metrics.Sample{Name: d.Name})
}
}
metrics.Read(histograms)
bucketsMap := make(map[string][]float64)
for i := range histograms {
bucketsMap[histograms[i].Name] = histograms[i].Value.Float64Histogram().Buckets
}
// Generate a Desc and ValueType for each runtime/metrics metric.
metricSet := make([]collectorMetric, 0, len(descriptions))
sampleBuf := make([]metrics.Sample, 0, len(descriptions))
sampleMap := make(map[string]*metrics.Sample, len(descriptions))
for i := range descriptions {
d := &descriptions[i]
namespace, subsystem, name, ok := internal.RuntimeMetricsToProm(d)
if !ok {
// Just ignore this metric; we can't do anything with it here.
// If a user decides to use the latest version of Go, we don't want
// to fail here. This condition is tested elsewhere.
continue
}
// Set up sample buffer for reading, and a map
// for quick lookup of sample values.
sampleBuf = append(sampleBuf, metrics.Sample{Name: d.Name})
sampleMap[d.Name] = &sampleBuf[len(sampleBuf)-1]
var m collectorMetric
if d.Kind == metrics.KindFloat64Histogram {
_, hasSum := rmExactSumMap[d.Name]
unit := d.Name[strings.IndexRune(d.Name, ':')+1:]
m = newBatchHistogram(
NewDesc(
BuildFQName(namespace, subsystem, name),
d.Description,
nil,
nil,
),
internal.RuntimeMetricsBucketsForUnit(bucketsMap[d.Name], unit),
hasSum,
)
} else if d.Cumulative {
m = NewCounter(CounterOpts{
Namespace: namespace,
Subsystem: subsystem,
Name: name,
Help: d.Description,
})
} else {
m = NewGauge(GaugeOpts{
Namespace: namespace,
Subsystem: subsystem,
Name: name,
Help: d.Description,
})
}
metricSet = append(metricSet, m)
}
return &goCollector{
base: newBaseGoCollector(),
rmSampleBuf: sampleBuf,
rmSampleMap: sampleMap,
rmMetrics: metricSet,
msMetrics: goRuntimeMemStats(),
}
}
// Describe returns all descriptions of the collector.
func (c *goCollector) Describe(ch chan<- *Desc) {
c.base.Describe(ch)
for _, i := range c.msMetrics {
ch <- i.desc
}
for _, m := range c.rmMetrics {
ch <- m.Desc()
}
}
// Collect returns the current state of all metrics of the collector.
func (c *goCollector) Collect(ch chan<- Metric) {
// Collect base non-memory metrics.
c.base.Collect(ch)
// Collect must be thread-safe, so prevent concurrent use of
// rmSampleBuf. Just read into rmSampleBuf but write all the data
// we get into our Metrics or MemStats.
//
// This lock also ensures that the Metrics we send out are all from
// the same updates, ensuring their mutual consistency insofar as
// is guaranteed by the runtime/metrics package.
//
// N.B. This locking is heavy-handed, but Collect is expected to be called
// relatively infrequently. Also the core operation here, metrics.Read,
// is fast (O(tens of microseconds)) so contention should certainly be
// low, though channel operations and any allocations may add to that.
c.mu.Lock()
defer c.mu.Unlock()
// Populate runtime/metrics sample buffer.
metrics.Read(c.rmSampleBuf)
// Update all our metrics from rmSampleBuf.
for i, sample := range c.rmSampleBuf {
// N.B. switch on concrete type because it's significantly more efficient
// than checking for the Counter and Gauge interface implementations. In
// this case, we control all the types here.
switch m := c.rmMetrics[i].(type) {
case *counter:
// Guard against decreases. This should never happen, but a failure
// to do so will result in a panic, which is a harsh consequence for
// a metrics collection bug.
v0, v1 := m.get(), unwrapScalarRMValue(sample.Value)
if v1 > v0 {
m.Add(unwrapScalarRMValue(sample.Value) - m.get())
}
m.Collect(ch)
case *gauge:
m.Set(unwrapScalarRMValue(sample.Value))
m.Collect(ch)
case *batchHistogram:
m.update(sample.Value.Float64Histogram(), c.exactSumFor(sample.Name))
m.Collect(ch)
default:
panic("unexpected metric type")
}
}
// ms is a dummy MemStats that we populate ourselves so that we can
// populate the old metrics from it.
var ms runtime.MemStats
memStatsFromRM(&ms, c.rmSampleMap)
for _, i := range c.msMetrics {
ch <- MustNewConstMetric(i.desc, i.valType, i.eval(&ms))
}
}
// unwrapScalarRMValue unwraps a runtime/metrics value that is assumed
// to be scalar and returns the equivalent float64 value. Panics if the
// value is not scalar.
func unwrapScalarRMValue(v metrics.Value) float64 {
switch v.Kind() {
case metrics.KindUint64:
return float64(v.Uint64())
case metrics.KindFloat64:
return v.Float64()
case metrics.KindBad:
// Unsupported metric.
//
// This should never happen because we always populate our metric
// set from the runtime/metrics package.
panic("unexpected unsupported metric")
default:
// Unsupported metric kind.
//
// This should never happen because we check for this during initialization
// and flag and filter metrics whose kinds we don't understand.
panic("unexpected unsupported metric kind")
}
}
var rmExactSumMap = map[string]string{
"/gc/heap/allocs-by-size:bytes": "/gc/heap/allocs:bytes",
"/gc/heap/frees-by-size:bytes": "/gc/heap/frees:bytes",
}
// exactSumFor takes a runtime/metrics metric name (that is assumed to
// be of kind KindFloat64Histogram) and returns its exact sum and whether
// its exact sum exists.
//
// The runtime/metrics API for histograms doesn't currently expose exact
// sums, but some of the other metrics are in fact exact sums of histograms.
func (c *goCollector) exactSumFor(rmName string) float64 {
sumName, ok := rmExactSumMap[rmName]
if !ok {
return 0
}
s, ok := c.rmSampleMap[sumName]
if !ok {
return 0
}
return unwrapScalarRMValue(s.Value)
}
func memStatsFromRM(ms *runtime.MemStats, rm map[string]*metrics.Sample) {
lookupOrZero := func(name string) uint64 {
if s, ok := rm[name]; ok {
return s.Value.Uint64()
}
return 0
}
// Currently, MemStats adds tiny alloc count to both Mallocs AND Frees.
// The reason for this is because MemStats couldn't be extended at the time
// but there was a desire to have Mallocs at least be a little more representative,
// while having Mallocs - Frees still represent a live object count.
// Unfortunately, MemStats doesn't actually export a large allocation count,
// so it's impossible to pull this number out directly.
tinyAllocs := lookupOrZero("/gc/heap/tiny/allocs:objects")
ms.Mallocs = lookupOrZero("/gc/heap/allocs:objects") + tinyAllocs
ms.Frees = lookupOrZero("/gc/heap/frees:objects") + tinyAllocs
ms.TotalAlloc = lookupOrZero("/gc/heap/allocs:bytes")
ms.Sys = lookupOrZero("/memory/classes/total:bytes")
ms.Lookups = 0 // Already always zero.
ms.HeapAlloc = lookupOrZero("/memory/classes/heap/objects:bytes")
ms.Alloc = ms.HeapAlloc
ms.HeapInuse = ms.HeapAlloc + lookupOrZero("/memory/classes/heap/unused:bytes")
ms.HeapReleased = lookupOrZero("/memory/classes/heap/released:bytes")
ms.HeapIdle = ms.HeapReleased + lookupOrZero("/memory/classes/heap/free:bytes")
ms.HeapSys = ms.HeapInuse + ms.HeapIdle
ms.HeapObjects = lookupOrZero("/gc/heap/objects:objects")
ms.StackInuse = lookupOrZero("/memory/classes/heap/stacks:bytes")
ms.StackSys = ms.StackInuse + lookupOrZero("/memory/classes/os-stacks:bytes")
ms.MSpanInuse = lookupOrZero("/memory/classes/metadata/mspan/inuse:bytes")
ms.MSpanSys = ms.MSpanInuse + lookupOrZero("/memory/classes/metadata/mspan/free:bytes")
ms.MCacheInuse = lookupOrZero("/memory/classes/metadata/mcache/inuse:bytes")
ms.MCacheSys = ms.MCacheInuse + lookupOrZero("/memory/classes/metadata/mcache/free:bytes")
ms.BuckHashSys = lookupOrZero("/memory/classes/profiling/buckets:bytes")
ms.GCSys = lookupOrZero("/memory/classes/metadata/other:bytes")
ms.OtherSys = lookupOrZero("/memory/classes/other:bytes")
ms.NextGC = lookupOrZero("/gc/heap/goal:bytes")
// N.B. LastGC is omitted because runtime.GCStats already has this.
// See https://github.com/prometheus/client_golang/issues/842#issuecomment-861812034
// for more details.
ms.LastGC = 0
// N.B. GCCPUFraction is intentionally omitted. This metric is not useful,
// and often misleading due to the fact that it's an average over the lifetime
// of the process.
// See https://github.com/prometheus/client_golang/issues/842#issuecomment-861812034
// for more details.
ms.GCCPUFraction = 0
}
// batchHistogram is a mutable histogram that is updated
// in batches.
type batchHistogram struct {
selfCollector
// Static fields updated only once.
desc *Desc
hasSum bool
// Because this histogram operates in batches, it just uses a
// single mutex for everything. updates are always serialized
// but Write calls may operate concurrently with updates.
// Contention between these two sources should be rare.
mu sync.Mutex
buckets []float64 // Inclusive lower bounds, like runtime/metrics.
counts []uint64
sum float64 // Used if hasSum is true.
}
// newBatchHistogram creates a new batch histogram value with the given
// Desc, buckets, and whether or not it has an exact sum available.
//
// buckets must always be from the runtime/metrics package, following
// the same conventions.
func newBatchHistogram(desc *Desc, buckets []float64, hasSum bool) *batchHistogram {
h := &batchHistogram{
desc: desc,
buckets: buckets,
// Because buckets follows runtime/metrics conventions, there's
// 1 more value in the buckets list than there are buckets represented,
// because in runtime/metrics, the bucket values represent *boundaries*,
// and non-Inf boundaries are inclusive lower bounds for that bucket.
counts: make([]uint64, len(buckets)-1),
hasSum: hasSum,
}
h.init(h)
return h
}
// update updates the batchHistogram from a runtime/metrics histogram.
//
// sum must be provided if the batchHistogram was created to have an exact sum.
// h.buckets must be a strict subset of his.Buckets.
func (h *batchHistogram) update(his *metrics.Float64Histogram, sum float64) {
counts, buckets := his.Counts, his.Buckets
h.mu.Lock()
defer h.mu.Unlock()
// Clear buckets.
for i := range h.counts {
h.counts[i] = 0
}
// Copy and reduce buckets.
var j int
for i, count := range counts {
h.counts[j] += count
if buckets[i+1] == h.buckets[j+1] {
j++
}
}
if h.hasSum {
h.sum = sum
}
}
func (h *batchHistogram) Desc() *Desc {
return h.desc
}
func (h *batchHistogram) Write(out *dto.Metric) error {
h.mu.Lock()
defer h.mu.Unlock()
sum := float64(0)
if h.hasSum {
sum = h.sum
}
dtoBuckets := make([]*dto.Bucket, 0, len(h.counts))
totalCount := uint64(0)
for i, count := range h.counts {
totalCount += count
if !h.hasSum {
// N.B. This computed sum is an underestimate.
sum += h.buckets[i] * float64(count)
}
// Skip the +Inf bucket, but only for the bucket list.
// It must still count for sum and totalCount.
if math.IsInf(h.buckets[i+1], 1) {
break
}
// Float64Histogram's upper bound is exclusive, so make it inclusive
// by obtaining the next float64 value down, in order.
upperBound := math.Nextafter(h.buckets[i+1], h.buckets[i])
dtoBuckets = append(dtoBuckets, &dto.Bucket{
CumulativeCount: proto.Uint64(totalCount),
UpperBound: proto.Float64(upperBound),
})
}
out.Histogram = &dto.Histogram{
Bucket: dtoBuckets,
SampleCount: proto.Uint64(totalCount),
SampleSum: proto.Float64(sum),
}
return nil
}

View File

@@ -22,7 +22,7 @@ import (
"sync/atomic"
"time"
//lint:ignore SA1019 Need to keep deprecated package for compatibility.
//nolint:staticcheck // Ignore SA1019. Need to keep deprecated package for compatibility.
"github.com/golang/protobuf/proto"
dto "github.com/prometheus/client_model/go"
@@ -47,7 +47,12 @@ type Histogram interface {
Metric
Collector
// Observe adds a single observation to the histogram.
// Observe adds a single observation to the histogram. Observations are
// usually positive or zero. Negative observations are accepted but
// prevent current versions of Prometheus from properly detecting
// counter resets in the sum of observations. See
// https://prometheus.io/docs/practices/histograms/#count-and-sum-of-observations
// for details.
Observe(float64)
}
@@ -111,6 +116,34 @@ func ExponentialBuckets(start, factor float64, count int) []float64 {
return buckets
}
// ExponentialBucketsRange creates 'count' buckets, where the lowest bucket is
// 'min' and the highest bucket is 'max'. The final +Inf bucket is not counted
// and not included in the returned slice. The returned slice is meant to be
// used for the Buckets field of HistogramOpts.
//
// The function panics if 'count' is 0 or negative, if 'min' is 0 or negative.
func ExponentialBucketsRange(min, max float64, count int) []float64 {
if count < 1 {
panic("ExponentialBucketsRange count needs a positive count")
}
if min <= 0 {
panic("ExponentialBucketsRange min needs to be greater than 0")
}
// Formula for exponential buckets.
// max = min*growthFactor^(bucketCount-1)
// We know max/min and highest bucket. Solve for growthFactor.
growthFactor := math.Pow(max/min, 1.0/float64(count-1))
// Now that we know growthFactor, solve for each bucket.
buckets := make([]float64, count)
for i := 1; i <= count; i++ {
buckets[i-1] = min * math.Pow(growthFactor, float64(i-1))
}
return buckets
}
// HistogramOpts bundles the options for creating a Histogram metric. It is
// mandatory to set Name to a non-empty string. All other fields are optional
// and can safely be left at their zero value, although it is strongly
@@ -192,7 +225,7 @@ func newHistogram(desc *Desc, opts HistogramOpts, labelValues ...string) Histogr
h := &histogram{
desc: desc,
upperBounds: opts.Buckets,
labelPairs: makeLabelPairs(desc, labelValues),
labelPairs: MakeLabelPairs(desc, labelValues),
counts: [2]*histogramCounts{{}, {}},
now: time.Now,
}
@@ -409,7 +442,7 @@ func (h *histogram) updateExemplar(v float64, bucket int, l Labels) {
// (e.g. HTTP request latencies, partitioned by status code and method). Create
// instances with NewHistogramVec.
type HistogramVec struct {
*metricVec
*MetricVec
}
// NewHistogramVec creates a new HistogramVec based on the provided HistogramOpts and
@@ -422,14 +455,14 @@ func NewHistogramVec(opts HistogramOpts, labelNames []string) *HistogramVec {
opts.ConstLabels,
)
return &HistogramVec{
metricVec: newMetricVec(desc, func(lvs ...string) Metric {
MetricVec: NewMetricVec(desc, func(lvs ...string) Metric {
return newHistogram(desc, opts, lvs...)
}),
}
}
// GetMetricWithLabelValues returns the Histogram for the given slice of label
// values (same order as the VariableLabels in Desc). If that combination of
// values (same order as the variable labels in Desc). If that combination of
// label values is accessed for the first time, a new Histogram is created.
//
// It is possible to call this method without using the returned Histogram to only
@@ -444,7 +477,7 @@ func NewHistogramVec(opts HistogramOpts, labelNames []string) *HistogramVec {
// example.
//
// An error is returned if the number of label values is not the same as the
// number of VariableLabels in Desc (minus any curried labels).
// number of variable labels in Desc (minus any curried labels).
//
// Note that for more than one label value, this method is prone to mistakes
// caused by an incorrect order of arguments. Consider GetMetricWith(Labels) as
@@ -453,7 +486,7 @@ func NewHistogramVec(opts HistogramOpts, labelNames []string) *HistogramVec {
// with a performance overhead (for creating and processing the Labels map).
// See also the GaugeVec example.
func (v *HistogramVec) GetMetricWithLabelValues(lvs ...string) (Observer, error) {
metric, err := v.metricVec.getMetricWithLabelValues(lvs...)
metric, err := v.MetricVec.GetMetricWithLabelValues(lvs...)
if metric != nil {
return metric.(Observer), err
}
@@ -461,19 +494,19 @@ func (v *HistogramVec) GetMetricWithLabelValues(lvs ...string) (Observer, error)
}
// GetMetricWith returns the Histogram for the given Labels map (the label names
// must match those of the VariableLabels in Desc). If that label map is
// must match those of the variable labels in Desc). If that label map is
// accessed for the first time, a new Histogram is created. Implications of
// creating a Histogram without using it and keeping the Histogram for later use
// are the same as for GetMetricWithLabelValues.
//
// An error is returned if the number and names of the Labels are inconsistent
// with those of the VariableLabels in Desc (minus any curried labels).
// with those of the variable labels in Desc (minus any curried labels).
//
// This method is used for the same purpose as
// GetMetricWithLabelValues(...string). See there for pros and cons of the two
// methods.
func (v *HistogramVec) GetMetricWith(labels Labels) (Observer, error) {
metric, err := v.metricVec.getMetricWith(labels)
metric, err := v.MetricVec.GetMetricWith(labels)
if metric != nil {
return metric.(Observer), err
}
@@ -517,7 +550,7 @@ func (v *HistogramVec) With(labels Labels) Observer {
// registered with a given registry (usually the uncurried version). The Reset
// method deletes all metrics, even if called on a curried vector.
func (v *HistogramVec) CurryWith(labels Labels) (ObserverVec, error) {
vec, err := v.curryWith(labels)
vec, err := v.MetricVec.CurryWith(labels)
if vec != nil {
return &HistogramVec{vec}, err
}
@@ -602,7 +635,7 @@ func NewConstHistogram(
count: count,
sum: sum,
buckets: buckets,
labelPairs: makeLabelPairs(desc, labelValues),
labelPairs: MakeLabelPairs(desc, labelValues),
}, nil
}

View File

@@ -0,0 +1,142 @@
// Copyright 2021 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.
//go:build go1.17
// +build go1.17
package internal
import (
"math"
"path"
"runtime/metrics"
"strings"
"github.com/prometheus/common/model"
)
// RuntimeMetricsToProm produces a Prometheus metric name from a runtime/metrics
// metric description and validates whether the metric is suitable for integration
// with Prometheus.
//
// Returns false if a name could not be produced, or if Prometheus does not understand
// the runtime/metrics Kind.
//
// Note that the main reason a name couldn't be produced is if the runtime/metrics
// package exports a name with characters outside the valid Prometheus metric name
// character set. This is theoretically possible, but should never happen in practice.
// Still, don't rely on it.
func RuntimeMetricsToProm(d *metrics.Description) (string, string, string, bool) {
namespace := "go"
comp := strings.SplitN(d.Name, ":", 2)
key := comp[0]
unit := comp[1]
// The last path element in the key is the name,
// the rest is the subsystem.
subsystem := path.Dir(key[1:] /* remove leading / */)
name := path.Base(key)
// subsystem is translated by replacing all / and - with _.
subsystem = strings.ReplaceAll(subsystem, "/", "_")
subsystem = strings.ReplaceAll(subsystem, "-", "_")
// unit is translated assuming that the unit contains no
// non-ASCII characters.
unit = strings.ReplaceAll(unit, "-", "_")
unit = strings.ReplaceAll(unit, "*", "_")
unit = strings.ReplaceAll(unit, "/", "_per_")
// name has - replaced with _ and is concatenated with the unit and
// other data.
name = strings.ReplaceAll(name, "-", "_")
name = name + "_" + unit
if d.Cumulative {
name = name + "_total"
}
valid := model.IsValidMetricName(model.LabelValue(namespace + "_" + subsystem + "_" + name))
switch d.Kind {
case metrics.KindUint64:
case metrics.KindFloat64:
case metrics.KindFloat64Histogram:
default:
valid = false
}
return namespace, subsystem, name, valid
}
// RuntimeMetricsBucketsForUnit takes a set of buckets obtained for a runtime/metrics histogram
// type (so, lower-bound inclusive) and a unit from a runtime/metrics name, and produces
// a reduced set of buckets. This function always removes any -Inf bucket as it's represented
// as the bottom-most upper-bound inclusive bucket in Prometheus.
func RuntimeMetricsBucketsForUnit(buckets []float64, unit string) []float64 {
switch unit {
case "bytes":
// Rebucket as powers of 2.
return rebucketExp(buckets, 2)
case "seconds":
// Rebucket as powers of 10 and then merge all buckets greater
// than 1 second into the +Inf bucket.
b := rebucketExp(buckets, 10)
for i := range b {
if b[i] <= 1 {
continue
}
b[i] = math.Inf(1)
b = b[:i+1]
break
}
return b
}
return buckets
}
// rebucketExp takes a list of bucket boundaries (lower bound inclusive) and
// downsamples the buckets to those a multiple of base apart. The end result
// is a roughly exponential (in many cases, perfectly exponential) bucketing
// scheme.
func rebucketExp(buckets []float64, base float64) []float64 {
bucket := buckets[0]
var newBuckets []float64
// We may see a -Inf here, in which case, add it and skip it
// since we risk producing NaNs otherwise.
//
// We need to preserve -Inf values to maintain runtime/metrics
// conventions. We'll strip it out later.
if bucket == math.Inf(-1) {
newBuckets = append(newBuckets, bucket)
buckets = buckets[1:]
bucket = buckets[0]
}
// From now on, bucket should always have a non-Inf value because
// Infs are only ever at the ends of the bucket lists, so
// arithmetic operations on it are non-NaN.
for i := 1; i < len(buckets); i++ {
if bucket >= 0 && buckets[i] < bucket*base {
// The next bucket we want to include is at least bucket*base.
continue
} else if bucket < 0 && buckets[i] < bucket/base {
// In this case the bucket we're targeting is negative, and since
// we're ascending through buckets here, we need to divide to get
// closer to zero exponentially.
continue
}
// The +Inf bucket will always be the last one, and we'll always
// end up including it here because bucket
newBuckets = append(newBuckets, bucket)
bucket = buckets[i]
}
return append(newBuckets, bucket)
}

View File

@@ -17,7 +17,7 @@ import (
"strings"
"time"
//lint:ignore SA1019 Need to keep deprecated package for compatibility.
//nolint:staticcheck // Ignore SA1019. Need to keep deprecated package for compatibility.
"github.com/golang/protobuf/proto"
"github.com/prometheus/common/model"
@@ -58,7 +58,7 @@ type Metric interface {
}
// Opts bundles the options for creating most Metric types. Each metric
// implementation XXX has its own XXXOpts type, but in most cases, it is just be
// implementation XXX has its own XXXOpts type, but in most cases, it is just
// an alias of this type (which might change when the requirement arises.)
//
// It is mandatory to set Name to a non-empty string. All other fields are
@@ -89,7 +89,7 @@ type Opts struct {
// better covered by target labels set by the scraping Prometheus
// server, or by one specific metric (e.g. a build_info or a
// machine_role metric). See also
// https://prometheus.io/docs/instrumenting/writing_exporters/#target-labels,-not-static-scraped-labels
// https://prometheus.io/docs/instrumenting/writing_exporters/#target-labels-not-static-scraped-labels
ConstLabels Labels
}

View File

@@ -15,7 +15,11 @@ package prometheus
import (
"errors"
"fmt"
"io/ioutil"
"os"
"strconv"
"strings"
)
type processCollector struct {
@@ -50,16 +54,10 @@ type ProcessCollectorOpts struct {
ReportErrors bool
}
// NewProcessCollector returns a collector which exports the current state of
// process metrics including CPU, memory and file descriptor usage as well as
// the process start time. The detailed behavior is defined by the provided
// ProcessCollectorOpts. The zero value of ProcessCollectorOpts creates a
// collector for the current process with an empty namespace string and no error
// reporting.
// NewProcessCollector is the obsolete version of collectors.NewProcessCollector.
// See there for documentation.
//
// The collector only works on operating systems with a Linux-style proc
// filesystem and on Microsoft Windows. On other operating systems, it will not
// collect any metrics.
// Deprecated: Use collectors.NewProcessCollector instead.
func NewProcessCollector(opts ProcessCollectorOpts) Collector {
ns := ""
if len(opts.Namespace) > 0 {
@@ -149,3 +147,20 @@ func (c *processCollector) reportError(ch chan<- Metric, desc *Desc, err error)
}
ch <- NewInvalidMetric(desc, err)
}
// NewPidFileFn returns a function that retrieves a pid from the specified file.
// It is meant to be used for the PidFn field in ProcessCollectorOpts.
func NewPidFileFn(pidFilePath string) func() (int, error) {
return func() (int, error) {
content, err := ioutil.ReadFile(pidFilePath)
if err != nil {
return 0, fmt.Errorf("can't read pid file %q: %+v", pidFilePath, err)
}
pid, err := strconv.Atoi(strings.TrimSpace(string(content)))
if err != nil {
return 0, fmt.Errorf("can't parse pid file %q: %+v", pidFilePath, err)
}
return pid, nil
}
}

View File

@@ -11,6 +11,7 @@
// See the License for the specific language governing permissions and
// limitations under the License.
//go:build !windows
// +build !windows
package prometheus

View File

@@ -83,8 +83,7 @@ type readerFromDelegator struct{ *responseWriterDelegator }
type pusherDelegator struct{ *responseWriterDelegator }
func (d closeNotifierDelegator) CloseNotify() <-chan bool {
//lint:ignore SA1019 http.CloseNotifier is deprecated but we don't want to
//remove support from client_golang yet.
//nolint:staticcheck // Ignore SA1019. http.CloseNotifier is deprecated but we keep it here to not break existing users.
return d.ResponseWriter.(http.CloseNotifier).CloseNotify()
}
func (d flusherDelegator) Flush() {
@@ -348,8 +347,7 @@ func newDelegator(w http.ResponseWriter, observeWriteHeaderFunc func(int)) deleg
}
id := 0
//lint:ignore SA1019 http.CloseNotifier is deprecated but we don't want to
//remove support from client_golang yet.
//nolint:staticcheck // Ignore SA1019. http.CloseNotifier is deprecated but we keep it here to not break existing users.
if _, ok := w.(http.CloseNotifier); ok {
id += closeNotifier
}

View File

@@ -99,7 +99,7 @@ func HandlerFor(reg prometheus.Gatherer, opts HandlerOpts) http.Handler {
inFlightSem = make(chan struct{}, opts.MaxRequestsInFlight)
}
if opts.Registry != nil {
// Initialize all possibilites that can occur below.
// Initialize all possibilities that can occur below.
errCnt.WithLabelValues("gathering")
errCnt.WithLabelValues("encoding")
if err := opts.Registry.Register(errCnt); err != nil {
@@ -303,8 +303,12 @@ type Logger interface {
// HandlerOpts specifies options how to serve metrics via an http.Handler. The
// zero value of HandlerOpts is a reasonable default.
type HandlerOpts struct {
// ErrorLog specifies an optional logger for errors collecting and
// serving metrics. If nil, errors are not logged at all.
// ErrorLog specifies an optional Logger for errors collecting and
// serving metrics. If nil, errors are not logged at all. Note that the
// type of a reported error is often prometheus.MultiError, which
// formats into a multi-line error string. If you want to avoid the
// latter, create a Logger implementation that detects a
// prometheus.MultiError and formats the contained errors into one line.
ErrorLog Logger
// ErrorHandling defines how errors are handled. Note that errors are
// logged regardless of the configured ErrorHandling provided ErrorLog

View File

@@ -49,7 +49,10 @@ func InstrumentRoundTripperInFlight(gauge prometheus.Gauge, next http.RoundTripp
// http.RoundTripper to observe the request result with the provided CounterVec.
// The CounterVec must have zero, one, or two non-const non-curried labels. For
// those, the only allowed label names are "code" and "method". The function
// panics otherwise. Partitioning of the CounterVec happens by HTTP status code
// panics otherwise. For the "method" label a predefined default label value set
// is used to filter given values. Values besides predefined values will count
// as `unknown` method.`WithExtraMethods` can be used to add more
// methods to the set. Partitioning of the CounterVec happens by HTTP status code
// and/or HTTP method if the respective instance label names are present in the
// CounterVec. For unpartitioned counting, use a CounterVec with zero labels.
//
@@ -57,13 +60,18 @@ func InstrumentRoundTripperInFlight(gauge prometheus.Gauge, next http.RoundTripp
// is not incremented.
//
// See the example for ExampleInstrumentRoundTripperDuration for example usage.
func InstrumentRoundTripperCounter(counter *prometheus.CounterVec, next http.RoundTripper) RoundTripperFunc {
func InstrumentRoundTripperCounter(counter *prometheus.CounterVec, next http.RoundTripper, opts ...Option) RoundTripperFunc {
rtOpts := &option{}
for _, o := range opts {
o(rtOpts)
}
code, method := checkLabels(counter)
return RoundTripperFunc(func(r *http.Request) (*http.Response, error) {
resp, err := next.RoundTrip(r)
if err == nil {
counter.With(labels(code, method, r.Method, resp.StatusCode)).Inc()
counter.With(labels(code, method, r.Method, resp.StatusCode, rtOpts.extraMethods...)).Inc()
}
return resp, err
})
@@ -73,7 +81,10 @@ func InstrumentRoundTripperCounter(counter *prometheus.CounterVec, next http.Rou
// http.RoundTripper to observe the request duration with the provided
// ObserverVec. The ObserverVec must have zero, one, or two non-const
// non-curried labels. For those, the only allowed label names are "code" and
// "method". The function panics otherwise. The Observe method of the Observer
// "method". The function panics otherwise. For the "method" label a predefined
// default label value set is used to filter given values. Values besides
// predefined values will count as `unknown` method. `WithExtraMethods`
// can be used to add more methods to the set. The Observe method of the Observer
// in the ObserverVec is called with the request duration in
// seconds. Partitioning happens by HTTP status code and/or HTTP method if the
// respective instance label names are present in the ObserverVec. For
@@ -85,14 +96,19 @@ func InstrumentRoundTripperCounter(counter *prometheus.CounterVec, next http.Rou
//
// Note that this method is only guaranteed to never observe negative durations
// if used with Go1.9+.
func InstrumentRoundTripperDuration(obs prometheus.ObserverVec, next http.RoundTripper) RoundTripperFunc {
func InstrumentRoundTripperDuration(obs prometheus.ObserverVec, next http.RoundTripper, opts ...Option) RoundTripperFunc {
rtOpts := &option{}
for _, o := range opts {
o(rtOpts)
}
code, method := checkLabels(obs)
return RoundTripperFunc(func(r *http.Request) (*http.Response, error) {
start := time.Now()
resp, err := next.RoundTrip(r)
if err == nil {
obs.With(labels(code, method, r.Method, resp.StatusCode)).Observe(time.Since(start).Seconds())
obs.With(labels(code, method, r.Method, resp.StatusCode, rtOpts.extraMethods...)).Observe(time.Since(start).Seconds())
}
return resp, err
})

View File

@@ -43,14 +43,17 @@ func InstrumentHandlerInFlight(g prometheus.Gauge, next http.Handler) http.Handl
// InstrumentHandlerDuration is a middleware that wraps the provided
// http.Handler to observe the request duration with the provided ObserverVec.
// The ObserverVec must have zero, one, or two non-const non-curried labels. For
// those, the only allowed label names are "code" and "method". The function
// panics otherwise. The Observe method of the Observer in the ObserverVec is
// called with the request duration in seconds. Partitioning happens by HTTP
// status code and/or HTTP method if the respective instance label names are
// present in the ObserverVec. For unpartitioned observations, use an
// ObserverVec with zero labels. Note that partitioning of Histograms is
// expensive and should be used judiciously.
// The ObserverVec must have valid metric and label names and must have zero,
// one, or two non-const non-curried labels. For those, the only allowed label
// names are "code" and "method". The function panics otherwise. For the "method"
// label a predefined default label value set is used to filter given values.
// Values besides predefined values will count as `unknown` method.
//`WithExtraMethods` can be used to add more methods to the set. The Observe
// method of the Observer in the ObserverVec is called with the request duration
// in seconds. Partitioning happens by HTTP status code and/or HTTP method if
// the respective instance label names are present in the ObserverVec. For
// unpartitioned observations, use an ObserverVec with zero labels. Note that
// partitioning of Histograms is expensive and should be used judiciously.
//
// If the wrapped Handler does not set a status code, a status code of 200 is assumed.
//
@@ -58,7 +61,12 @@ func InstrumentHandlerInFlight(g prometheus.Gauge, next http.Handler) http.Handl
//
// Note that this method is only guaranteed to never observe negative durations
// if used with Go1.9+.
func InstrumentHandlerDuration(obs prometheus.ObserverVec, next http.Handler) http.HandlerFunc {
func InstrumentHandlerDuration(obs prometheus.ObserverVec, next http.Handler, opts ...Option) http.HandlerFunc {
mwOpts := &option{}
for _, o := range opts {
o(mwOpts)
}
code, method := checkLabels(obs)
if code {
@@ -67,57 +75,70 @@ func InstrumentHandlerDuration(obs prometheus.ObserverVec, next http.Handler) ht
d := newDelegator(w, nil)
next.ServeHTTP(d, r)
obs.With(labels(code, method, r.Method, d.Status())).Observe(time.Since(now).Seconds())
obs.With(labels(code, method, r.Method, d.Status(), mwOpts.extraMethods...)).Observe(time.Since(now).Seconds())
})
}
return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
now := time.Now()
next.ServeHTTP(w, r)
obs.With(labels(code, method, r.Method, 0)).Observe(time.Since(now).Seconds())
obs.With(labels(code, method, r.Method, 0, mwOpts.extraMethods...)).Observe(time.Since(now).Seconds())
})
}
// InstrumentHandlerCounter is a middleware that wraps the provided http.Handler
// to observe the request result with the provided CounterVec. The CounterVec
// must have zero, one, or two non-const non-curried labels. For those, the only
// allowed label names are "code" and "method". The function panics
// otherwise. Partitioning of the CounterVec happens by HTTP status code and/or
// HTTP method if the respective instance label names are present in the
// CounterVec. For unpartitioned counting, use a CounterVec with zero labels.
// to observe the request result with the provided CounterVec. The CounterVec
// must have valid metric and label names and must have zero, one, or two
// non-const non-curried labels. For those, the only allowed label names are
// "code" and "method". The function panics otherwise. For the "method"
// label a predefined default label value set is used to filter given values.
// Values besides predefined values will count as `unknown` method.
// `WithExtraMethods` can be used to add more methods to the set. Partitioning of the
// CounterVec happens by HTTP status code and/or HTTP method if the respective
// instance label names are present in the CounterVec. For unpartitioned
// counting, use a CounterVec with zero labels.
//
// If the wrapped Handler does not set a status code, a status code of 200 is assumed.
//
// If the wrapped Handler panics, the Counter is not incremented.
//
// See the example for InstrumentHandlerDuration for example usage.
func InstrumentHandlerCounter(counter *prometheus.CounterVec, next http.Handler) http.HandlerFunc {
func InstrumentHandlerCounter(counter *prometheus.CounterVec, next http.Handler, opts ...Option) http.HandlerFunc {
mwOpts := &option{}
for _, o := range opts {
o(mwOpts)
}
code, method := checkLabels(counter)
if code {
return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
d := newDelegator(w, nil)
next.ServeHTTP(d, r)
counter.With(labels(code, method, r.Method, d.Status())).Inc()
counter.With(labels(code, method, r.Method, d.Status(), mwOpts.extraMethods...)).Inc()
})
}
return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
next.ServeHTTP(w, r)
counter.With(labels(code, method, r.Method, 0)).Inc()
counter.With(labels(code, method, r.Method, 0, mwOpts.extraMethods...)).Inc()
})
}
// InstrumentHandlerTimeToWriteHeader is a middleware that wraps the provided
// http.Handler to observe with the provided ObserverVec the request duration
// until the response headers are written. The ObserverVec must have zero, one,
// or two non-const non-curried labels. For those, the only allowed label names
// are "code" and "method". The function panics otherwise. The Observe method of
// the Observer in the ObserverVec is called with the request duration in
// seconds. Partitioning happens by HTTP status code and/or HTTP method if the
// respective instance label names are present in the ObserverVec. For
// unpartitioned observations, use an ObserverVec with zero labels. Note that
// partitioning of Histograms is expensive and should be used judiciously.
// until the response headers are written. The ObserverVec must have valid
// metric and label names and must have zero, one, or two non-const non-curried
// labels. For those, the only allowed label names are "code" and "method". The
// function panics otherwise. For the "method" label a predefined default label
// value set is used to filter given values. Values besides predefined values
// will count as `unknown` method.`WithExtraMethods` can be used to add more
// methods to the set. The Observe method of the Observer in the
// ObserverVec is called with the request duration in seconds. Partitioning
// happens by HTTP status code and/or HTTP method if the respective instance
// label names are present in the ObserverVec. For unpartitioned observations,
// use an ObserverVec with zero labels. Note that partitioning of Histograms is
// expensive and should be used judiciously.
//
// If the wrapped Handler panics before calling WriteHeader, no value is
// reported.
@@ -126,35 +147,48 @@ func InstrumentHandlerCounter(counter *prometheus.CounterVec, next http.Handler)
// if used with Go1.9+.
//
// See the example for InstrumentHandlerDuration for example usage.
func InstrumentHandlerTimeToWriteHeader(obs prometheus.ObserverVec, next http.Handler) http.HandlerFunc {
func InstrumentHandlerTimeToWriteHeader(obs prometheus.ObserverVec, next http.Handler, opts ...Option) http.HandlerFunc {
mwOpts := &option{}
for _, o := range opts {
o(mwOpts)
}
code, method := checkLabels(obs)
return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
now := time.Now()
d := newDelegator(w, func(status int) {
obs.With(labels(code, method, r.Method, status)).Observe(time.Since(now).Seconds())
obs.With(labels(code, method, r.Method, status, mwOpts.extraMethods...)).Observe(time.Since(now).Seconds())
})
next.ServeHTTP(d, r)
})
}
// InstrumentHandlerRequestSize is a middleware that wraps the provided
// http.Handler to observe the request size with the provided ObserverVec. The
// ObserverVec must have zero, one, or two non-const non-curried labels. For
// those, the only allowed label names are "code" and "method". The function
// panics otherwise. The Observe method of the Observer in the ObserverVec is
// called with the request size in bytes. Partitioning happens by HTTP status
// code and/or HTTP method if the respective instance label names are present in
// the ObserverVec. For unpartitioned observations, use an ObserverVec with zero
// labels. Note that partitioning of Histograms is expensive and should be used
// judiciously.
// http.Handler to observe the request size with the provided ObserverVec. The
// ObserverVec must have valid metric and label names and must have zero, one,
// or two non-const non-curried labels. For those, the only allowed label names
// are "code" and "method". The function panics otherwise. For the "method"
// label a predefined default label value set is used to filter given values.
// Values besides predefined values will count as `unknown` method.
// `WithExtraMethods` can be used to add more methods to the set. The Observe
// method of the Observer in the ObserverVec is called with the request size in
// bytes. Partitioning happens by HTTP status code and/or HTTP method if the
// respective instance label names are present in the ObserverVec. For
// unpartitioned observations, use an ObserverVec with zero labels. Note that
// partitioning of Histograms is expensive and should be used judiciously.
//
// If the wrapped Handler does not set a status code, a status code of 200 is assumed.
//
// If the wrapped Handler panics, no values are reported.
//
// See the example for InstrumentHandlerDuration for example usage.
func InstrumentHandlerRequestSize(obs prometheus.ObserverVec, next http.Handler) http.HandlerFunc {
func InstrumentHandlerRequestSize(obs prometheus.ObserverVec, next http.Handler, opts ...Option) http.HandlerFunc {
mwOpts := &option{}
for _, o := range opts {
o(mwOpts)
}
code, method := checkLabels(obs)
if code {
@@ -162,42 +196,56 @@ func InstrumentHandlerRequestSize(obs prometheus.ObserverVec, next http.Handler)
d := newDelegator(w, nil)
next.ServeHTTP(d, r)
size := computeApproximateRequestSize(r)
obs.With(labels(code, method, r.Method, d.Status())).Observe(float64(size))
obs.With(labels(code, method, r.Method, d.Status(), mwOpts.extraMethods...)).Observe(float64(size))
})
}
return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
next.ServeHTTP(w, r)
size := computeApproximateRequestSize(r)
obs.With(labels(code, method, r.Method, 0)).Observe(float64(size))
obs.With(labels(code, method, r.Method, 0, mwOpts.extraMethods...)).Observe(float64(size))
})
}
// InstrumentHandlerResponseSize is a middleware that wraps the provided
// http.Handler to observe the response size with the provided ObserverVec. The
// ObserverVec must have zero, one, or two non-const non-curried labels. For
// those, the only allowed label names are "code" and "method". The function
// panics otherwise. The Observe method of the Observer in the ObserverVec is
// called with the response size in bytes. Partitioning happens by HTTP status
// code and/or HTTP method if the respective instance label names are present in
// the ObserverVec. For unpartitioned observations, use an ObserverVec with zero
// labels. Note that partitioning of Histograms is expensive and should be used
// judiciously.
// http.Handler to observe the response size with the provided ObserverVec. The
// ObserverVec must have valid metric and label names and must have zero, one,
// or two non-const non-curried labels. For those, the only allowed label names
// are "code" and "method". The function panics otherwise. For the "method"
// label a predefined default label value set is used to filter given values.
// Values besides predefined values will count as `unknown` method.
// `WithExtraMethods` can be used to add more methods to the set. The Observe
// method of the Observer in the ObserverVec is called with the response size in
// bytes. Partitioning happens by HTTP status code and/or HTTP method if the
// respective instance label names are present in the ObserverVec. For
// unpartitioned observations, use an ObserverVec with zero labels. Note that
// partitioning of Histograms is expensive and should be used judiciously.
//
// If the wrapped Handler does not set a status code, a status code of 200 is assumed.
//
// If the wrapped Handler panics, no values are reported.
//
// See the example for InstrumentHandlerDuration for example usage.
func InstrumentHandlerResponseSize(obs prometheus.ObserverVec, next http.Handler) http.Handler {
func InstrumentHandlerResponseSize(obs prometheus.ObserverVec, next http.Handler, opts ...Option) http.Handler {
mwOpts := &option{}
for _, o := range opts {
o(mwOpts)
}
code, method := checkLabels(obs)
return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
d := newDelegator(w, nil)
next.ServeHTTP(d, r)
obs.With(labels(code, method, r.Method, d.Status())).Observe(float64(d.Written()))
obs.With(labels(code, method, r.Method, d.Status(), mwOpts.extraMethods...)).Observe(float64(d.Written()))
})
}
// checkLabels returns whether the provided Collector has a non-const,
// non-curried label named "code" and/or "method". It panics if the provided
// Collector does not have a Desc or has more than one Desc or its Desc is
// invalid. It also panics if the Collector has any non-const, non-curried
// labels that are not named "code" or "method".
func checkLabels(c prometheus.Collector) (code bool, method bool) {
// TODO(beorn7): Remove this hacky way to check for instance labels
// once Descriptors can have their dimensionality queried.
@@ -225,6 +273,10 @@ func checkLabels(c prometheus.Collector) (code bool, method bool) {
close(descc)
// Make sure the Collector has a valid Desc by registering it with a
// temporary registry.
prometheus.NewRegistry().MustRegister(c)
// Create a ConstMetric with the Desc. Since we don't know how many
// variable labels there are, try for as long as it needs.
for err := errors.New("dummy"); err != nil; lvs = append(lvs, magicString) {
@@ -279,7 +331,7 @@ func isLabelCurried(c prometheus.Collector, label string) bool {
// unnecessary allocations on each request.
var emptyLabels = prometheus.Labels{}
func labels(code, method bool, reqMethod string, status int) prometheus.Labels {
func labels(code, method bool, reqMethod string, status int, extraMethods ...string) prometheus.Labels {
if !(code || method) {
return emptyLabels
}
@@ -289,7 +341,7 @@ func labels(code, method bool, reqMethod string, status int) prometheus.Labels {
labels["code"] = sanitizeCode(status)
}
if method {
labels["method"] = sanitizeMethod(reqMethod)
labels["method"] = sanitizeMethod(reqMethod, extraMethods...)
}
return labels
@@ -319,7 +371,12 @@ func computeApproximateRequestSize(r *http.Request) int {
return s
}
func sanitizeMethod(m string) string {
// If the wrapped http.Handler has a known method, it will be sanitized and returned.
// Otherwise, "unknown" will be returned. The known method list can be extended
// as needed by using extraMethods parameter.
func sanitizeMethod(m string, extraMethods ...string) string {
// See https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods for
// the methods chosen as default.
switch m {
case "GET", "get":
return "get"
@@ -337,15 +394,25 @@ func sanitizeMethod(m string) string {
return "options"
case "NOTIFY", "notify":
return "notify"
case "TRACE", "trace":
return "trace"
case "PATCH", "patch":
return "patch"
default:
return strings.ToLower(m)
for _, method := range extraMethods {
if strings.EqualFold(m, method) {
return strings.ToLower(m)
}
}
return "unknown"
}
}
// If the wrapped http.Handler has not set a status code, i.e. the value is
// currently 0, santizeCode will return 200, for consistency with behavior in
// currently 0, sanitizeCode will return 200, for consistency with behavior in
// the stdlib.
func sanitizeCode(s int) string {
// See for accepted codes https://www.iana.org/assignments/http-status-codes/http-status-codes.xhtml
switch s {
case 100:
return "100"
@@ -442,6 +509,9 @@ func sanitizeCode(s int) string {
return "511"
default:
return strconv.Itoa(s)
if s >= 100 && s <= 599 {
return strconv.Itoa(s)
}
return "unknown"
}
}

View File

@@ -1,4 +1,4 @@
// Copyright 2019 The Prometheus Authors
// Copyright 2022 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
@@ -11,12 +11,21 @@
// See the License for the specific language governing permissions and
// limitations under the License.
// +build !go1.12
package promhttp
package prometheus
// Option are used to configure a middleware or round tripper..
type Option func(*option)
// readBuildInfo is a wrapper around debug.ReadBuildInfo for Go versions before
// 1.12. Remove this whole file once the minimum supported Go version is 1.12.
func readBuildInfo() (path, version, sum string) {
return "unknown", "unknown", "unknown"
type option struct {
extraMethods []string
}
// WithExtraMethods adds additional HTTP methods to the list of allowed methods.
// See https://developer.mozilla.org/en-US/docs/Web/HTTP/Methods for the default list.
//
// See the example for ExampleInstrumentHandlerWithExtraMethods for example usage.
func WithExtraMethods(methods ...string) Option {
return func(o *option) {
o.extraMethods = methods
}
}

View File

@@ -26,7 +26,7 @@ import (
"unicode/utf8"
"github.com/cespare/xxhash/v2"
//lint:ignore SA1019 Need to keep deprecated package for compatibility.
//nolint:staticcheck // Ignore SA1019. Need to keep deprecated package for compatibility.
"github.com/golang/protobuf/proto"
"github.com/prometheus/common/expfmt"
@@ -215,6 +215,8 @@ func (err AlreadyRegisteredError) Error() string {
// by a Gatherer to report multiple errors during MetricFamily gathering.
type MultiError []error
// Error formats the contained errors as a bullet point list, preceded by the
// total number of errors. Note that this results in a multi-line string.
func (errs MultiError) Error() string {
if len(errs) == 0 {
return ""

View File

@@ -23,7 +23,7 @@ import (
"time"
"github.com/beorn7/perks/quantile"
//lint:ignore SA1019 Need to keep deprecated package for compatibility.
//nolint:staticcheck // Ignore SA1019. Need to keep deprecated package for compatibility.
"github.com/golang/protobuf/proto"
dto "github.com/prometheus/client_model/go"
@@ -55,7 +55,12 @@ type Summary interface {
Metric
Collector
// Observe adds a single observation to the summary.
// Observe adds a single observation to the summary. Observations are
// usually positive or zero. Negative observations are accepted but
// prevent current versions of Prometheus from properly detecting
// counter resets in the sum of observations. See
// https://prometheus.io/docs/practices/histograms/#count-and-sum-of-observations
// for details.
Observe(float64)
}
@@ -110,7 +115,7 @@ type SummaryOpts struct {
// better covered by target labels set by the scraping Prometheus
// server, or by one specific metric (e.g. a build_info or a
// machine_role metric). See also
// https://prometheus.io/docs/instrumenting/writing_exporters/#target-labels,-not-static-scraped-labels
// https://prometheus.io/docs/instrumenting/writing_exporters/#target-labels-not-static-scraped-labels
ConstLabels Labels
// Objectives defines the quantile rank estimates with their respective
@@ -121,7 +126,9 @@ type SummaryOpts struct {
Objectives map[float64]float64
// MaxAge defines the duration for which an observation stays relevant
// for the summary. Must be positive. The default value is DefMaxAge.
// for the summary. Only applies to pre-calculated quantiles, does not
// apply to _sum and _count. Must be positive. The default value is
// DefMaxAge.
MaxAge time.Duration
// AgeBuckets is the number of buckets used to exclude observations that
@@ -208,7 +215,7 @@ func newSummary(desc *Desc, opts SummaryOpts, labelValues ...string) Summary {
// Use the lock-free implementation of a Summary without objectives.
s := &noObjectivesSummary{
desc: desc,
labelPairs: makeLabelPairs(desc, labelValues),
labelPairs: MakeLabelPairs(desc, labelValues),
counts: [2]*summaryCounts{{}, {}},
}
s.init(s) // Init self-collection.
@@ -221,7 +228,7 @@ func newSummary(desc *Desc, opts SummaryOpts, labelValues ...string) Summary {
objectives: opts.Objectives,
sortedObjectives: make([]float64, 0, len(opts.Objectives)),
labelPairs: makeLabelPairs(desc, labelValues),
labelPairs: MakeLabelPairs(desc, labelValues),
hotBuf: make([]float64, 0, opts.BufCap),
coldBuf: make([]float64, 0, opts.BufCap),
@@ -513,7 +520,7 @@ func (s quantSort) Less(i, j int) bool {
// (e.g. HTTP request latencies, partitioned by status code and method). Create
// instances with NewSummaryVec.
type SummaryVec struct {
*metricVec
*MetricVec
}
// NewSummaryVec creates a new SummaryVec based on the provided SummaryOpts and
@@ -535,14 +542,14 @@ func NewSummaryVec(opts SummaryOpts, labelNames []string) *SummaryVec {
opts.ConstLabels,
)
return &SummaryVec{
metricVec: newMetricVec(desc, func(lvs ...string) Metric {
MetricVec: NewMetricVec(desc, func(lvs ...string) Metric {
return newSummary(desc, opts, lvs...)
}),
}
}
// GetMetricWithLabelValues returns the Summary for the given slice of label
// values (same order as the VariableLabels in Desc). If that combination of
// values (same order as the variable labels in Desc). If that combination of
// label values is accessed for the first time, a new Summary is created.
//
// It is possible to call this method without using the returned Summary to only
@@ -557,7 +564,7 @@ func NewSummaryVec(opts SummaryOpts, labelNames []string) *SummaryVec {
// example.
//
// An error is returned if the number of label values is not the same as the
// number of VariableLabels in Desc (minus any curried labels).
// number of variable labels in Desc (minus any curried labels).
//
// Note that for more than one label value, this method is prone to mistakes
// caused by an incorrect order of arguments. Consider GetMetricWith(Labels) as
@@ -566,7 +573,7 @@ func NewSummaryVec(opts SummaryOpts, labelNames []string) *SummaryVec {
// with a performance overhead (for creating and processing the Labels map).
// See also the GaugeVec example.
func (v *SummaryVec) GetMetricWithLabelValues(lvs ...string) (Observer, error) {
metric, err := v.metricVec.getMetricWithLabelValues(lvs...)
metric, err := v.MetricVec.GetMetricWithLabelValues(lvs...)
if metric != nil {
return metric.(Observer), err
}
@@ -574,19 +581,19 @@ func (v *SummaryVec) GetMetricWithLabelValues(lvs ...string) (Observer, error) {
}
// GetMetricWith returns the Summary for the given Labels map (the label names
// must match those of the VariableLabels in Desc). If that label map is
// must match those of the variable labels in Desc). If that label map is
// accessed for the first time, a new Summary is created. Implications of
// creating a Summary without using it and keeping the Summary for later use are
// the same as for GetMetricWithLabelValues.
//
// An error is returned if the number and names of the Labels are inconsistent
// with those of the VariableLabels in Desc (minus any curried labels).
// with those of the variable labels in Desc (minus any curried labels).
//
// This method is used for the same purpose as
// GetMetricWithLabelValues(...string). See there for pros and cons of the two
// methods.
func (v *SummaryVec) GetMetricWith(labels Labels) (Observer, error) {
metric, err := v.metricVec.getMetricWith(labels)
metric, err := v.MetricVec.GetMetricWith(labels)
if metric != nil {
return metric.(Observer), err
}
@@ -630,7 +637,7 @@ func (v *SummaryVec) With(labels Labels) Observer {
// registered with a given registry (usually the uncurried version). The Reset
// method deletes all metrics, even if called on a curried vector.
func (v *SummaryVec) CurryWith(labels Labels) (ObserverVec, error) {
vec, err := v.curryWith(labels)
vec, err := v.MetricVec.CurryWith(labels)
if vec != nil {
return &SummaryVec{vec}, err
}
@@ -716,7 +723,7 @@ func NewConstSummary(
count: count,
sum: sum,
quantiles: quantiles,
labelPairs: makeLabelPairs(desc, labelValues),
labelPairs: MakeLabelPairs(desc, labelValues),
}, nil
}

View File

@@ -19,9 +19,9 @@ import (
"time"
"unicode/utf8"
//lint:ignore SA1019 Need to keep deprecated package for compatibility.
//nolint:staticcheck // Ignore SA1019. Need to keep deprecated package for compatibility.
"github.com/golang/protobuf/proto"
"github.com/golang/protobuf/ptypes"
"google.golang.org/protobuf/types/known/timestamppb"
dto "github.com/prometheus/client_model/go"
)
@@ -63,7 +63,7 @@ func newValueFunc(desc *Desc, valueType ValueType, function func() float64) *val
desc: desc,
valType: valueType,
function: function,
labelPairs: makeLabelPairs(desc, nil),
labelPairs: MakeLabelPairs(desc, nil),
}
result.init(result)
return result
@@ -95,7 +95,7 @@ func NewConstMetric(desc *Desc, valueType ValueType, value float64, labelValues
desc: desc,
valType: valueType,
val: value,
labelPairs: makeLabelPairs(desc, labelValues),
labelPairs: MakeLabelPairs(desc, labelValues),
}, nil
}
@@ -145,7 +145,14 @@ func populateMetric(
return nil
}
func makeLabelPairs(desc *Desc, labelValues []string) []*dto.LabelPair {
// MakeLabelPairs is a helper function to create protobuf LabelPairs from the
// variable and constant labels in the provided Desc. The values for the
// variable labels are defined by the labelValues slice, which must be in the
// same order as the corresponding variable labels in the Desc.
//
// This function is only needed for custom Metric implementations. See MetricVec
// example.
func MakeLabelPairs(desc *Desc, labelValues []string) []*dto.LabelPair {
totalLen := len(desc.variableLabels) + len(desc.constLabelPairs)
if totalLen == 0 {
// Super fast path.
@@ -176,8 +183,8 @@ const ExemplarMaxRunes = 64
func newExemplar(value float64, ts time.Time, l Labels) (*dto.Exemplar, error) {
e := &dto.Exemplar{}
e.Value = proto.Float64(value)
tsProto, err := ptypes.TimestampProto(ts)
if err != nil {
tsProto := timestamppb.New(ts)
if err := tsProto.CheckValid(); err != nil {
return nil, err
}
e.Timestamp = tsProto

View File

@@ -20,12 +20,20 @@ import (
"github.com/prometheus/common/model"
)
// metricVec is a Collector to bundle metrics of the same name that differ in
// their label values. metricVec is not used directly (and therefore
// unexported). It is used as a building block for implementations of vectors of
// a given metric type, like GaugeVec, CounterVec, SummaryVec, and HistogramVec.
// It also handles label currying.
type metricVec struct {
// MetricVec is a Collector to bundle metrics of the same name that differ in
// their label values. MetricVec is not used directly but as a building block
// for implementations of vectors of a given metric type, like GaugeVec,
// CounterVec, SummaryVec, and HistogramVec. It is exported so that it can be
// used for custom Metric implementations.
//
// To create a FooVec for custom Metric Foo, embed a pointer to MetricVec in
// FooVec and initialize it with NewMetricVec. Implement wrappers for
// GetMetricWithLabelValues and GetMetricWith that return (Foo, error) rather
// than (Metric, error). Similarly, create a wrapper for CurryWith that returns
// (*FooVec, error) rather than (*MetricVec, error). It is recommended to also
// add the convenience methods WithLabelValues, With, and MustCurryWith, which
// panic instead of returning errors. See also the MetricVec example.
type MetricVec struct {
*metricMap
curry []curriedLabelValue
@@ -35,9 +43,9 @@ type metricVec struct {
hashAddByte func(h uint64, b byte) uint64
}
// newMetricVec returns an initialized metricVec.
func newMetricVec(desc *Desc, newMetric func(lvs ...string) Metric) *metricVec {
return &metricVec{
// NewMetricVec returns an initialized metricVec.
func NewMetricVec(desc *Desc, newMetric func(lvs ...string) Metric) *MetricVec {
return &MetricVec{
metricMap: &metricMap{
metrics: map[uint64][]metricWithLabelValues{},
desc: desc,
@@ -63,7 +71,7 @@ func newMetricVec(desc *Desc, newMetric func(lvs ...string) Metric) *metricVec {
// latter has a much more readable (albeit more verbose) syntax, but it comes
// with a performance overhead (for creating and processing the Labels map).
// See also the CounterVec example.
func (m *metricVec) DeleteLabelValues(lvs ...string) bool {
func (m *MetricVec) DeleteLabelValues(lvs ...string) bool {
h, err := m.hashLabelValues(lvs)
if err != nil {
return false
@@ -82,7 +90,7 @@ func (m *metricVec) DeleteLabelValues(lvs ...string) bool {
//
// This method is used for the same purpose as DeleteLabelValues(...string). See
// there for pros and cons of the two methods.
func (m *metricVec) Delete(labels Labels) bool {
func (m *MetricVec) Delete(labels Labels) bool {
h, err := m.hashLabels(labels)
if err != nil {
return false
@@ -95,15 +103,32 @@ func (m *metricVec) Delete(labels Labels) bool {
// show up in GoDoc.
// Describe implements Collector.
func (m *metricVec) Describe(ch chan<- *Desc) { m.metricMap.Describe(ch) }
func (m *MetricVec) Describe(ch chan<- *Desc) { m.metricMap.Describe(ch) }
// Collect implements Collector.
func (m *metricVec) Collect(ch chan<- Metric) { m.metricMap.Collect(ch) }
func (m *MetricVec) Collect(ch chan<- Metric) { m.metricMap.Collect(ch) }
// Reset deletes all metrics in this vector.
func (m *metricVec) Reset() { m.metricMap.Reset() }
func (m *MetricVec) Reset() { m.metricMap.Reset() }
func (m *metricVec) curryWith(labels Labels) (*metricVec, error) {
// CurryWith returns a vector curried with the provided labels, i.e. the
// returned vector has those labels pre-set for all labeled operations performed
// on it. The cardinality of the curried vector is reduced accordingly. The
// order of the remaining labels stays the same (just with the curried labels
// taken out of the sequence which is relevant for the
// (GetMetric)WithLabelValues methods). It is possible to curry a curried
// vector, but only with labels not yet used for currying before.
//
// The metrics contained in the MetricVec are shared between the curried and
// uncurried vectors. They are just accessed differently. Curried and uncurried
// vectors behave identically in terms of collection. Only one must be
// registered with a given registry (usually the uncurried version). The Reset
// method deletes all metrics, even if called on a curried vector.
//
// Note that CurryWith is usually not called directly but through a wrapper
// around MetricVec, implementing a vector for a specific Metric
// implementation, for example GaugeVec.
func (m *MetricVec) CurryWith(labels Labels) (*MetricVec, error) {
var (
newCurry []curriedLabelValue
oldCurry = m.curry
@@ -128,7 +153,7 @@ func (m *metricVec) curryWith(labels Labels) (*metricVec, error) {
return nil, fmt.Errorf("%d unknown label(s) found during currying", l)
}
return &metricVec{
return &MetricVec{
metricMap: m.metricMap,
curry: newCurry,
hashAdd: m.hashAdd,
@@ -136,7 +161,34 @@ func (m *metricVec) curryWith(labels Labels) (*metricVec, error) {
}, nil
}
func (m *metricVec) getMetricWithLabelValues(lvs ...string) (Metric, error) {
// GetMetricWithLabelValues returns the Metric for the given slice of label
// values (same order as the variable labels in Desc). If that combination of
// label values is accessed for the first time, a new Metric is created (by
// calling the newMetric function provided during construction of the
// MetricVec).
//
// It is possible to call this method without using the returned Metric to only
// create the new Metric but leave it in its initial state.
//
// Keeping the Metric for later use is possible (and should be considered if
// performance is critical), but keep in mind that Reset, DeleteLabelValues and
// Delete can be used to delete the Metric from the MetricVec. In that case, the
// Metric will still exist, but it will not be exported anymore, even if a
// Metric with the same label values is created later.
//
// An error is returned if the number of label values is not the same as the
// number of variable labels in Desc (minus any curried labels).
//
// Note that for more than one label value, this method is prone to mistakes
// caused by an incorrect order of arguments. Consider GetMetricWith(Labels) as
// an alternative to avoid that type of mistake. For higher label numbers, the
// latter has a much more readable (albeit more verbose) syntax, but it comes
// with a performance overhead (for creating and processing the Labels map).
//
// Note that GetMetricWithLabelValues is usually not called directly but through
// a wrapper around MetricVec, implementing a vector for a specific Metric
// implementation, for example GaugeVec.
func (m *MetricVec) GetMetricWithLabelValues(lvs ...string) (Metric, error) {
h, err := m.hashLabelValues(lvs)
if err != nil {
return nil, err
@@ -145,7 +197,23 @@ func (m *metricVec) getMetricWithLabelValues(lvs ...string) (Metric, error) {
return m.metricMap.getOrCreateMetricWithLabelValues(h, lvs, m.curry), nil
}
func (m *metricVec) getMetricWith(labels Labels) (Metric, error) {
// GetMetricWith returns the Metric for the given Labels map (the label names
// must match those of the variable labels in Desc). If that label map is
// accessed for the first time, a new Metric is created. Implications of
// creating a Metric without using it and keeping the Metric for later use
// are the same as for GetMetricWithLabelValues.
//
// An error is returned if the number and names of the Labels are inconsistent
// with those of the variable labels in Desc (minus any curried labels).
//
// This method is used for the same purpose as
// GetMetricWithLabelValues(...string). See there for pros and cons of the two
// methods.
//
// Note that GetMetricWith is usually not called directly but through a wrapper
// around MetricVec, implementing a vector for a specific Metric implementation,
// for example GaugeVec.
func (m *MetricVec) GetMetricWith(labels Labels) (Metric, error) {
h, err := m.hashLabels(labels)
if err != nil {
return nil, err
@@ -154,7 +222,7 @@ func (m *metricVec) getMetricWith(labels Labels) (Metric, error) {
return m.metricMap.getOrCreateMetricWithLabels(h, labels, m.curry), nil
}
func (m *metricVec) hashLabelValues(vals []string) (uint64, error) {
func (m *MetricVec) hashLabelValues(vals []string) (uint64, error) {
if err := validateLabelValues(vals, len(m.desc.variableLabels)-len(m.curry)); err != nil {
return 0, err
}
@@ -177,7 +245,7 @@ func (m *metricVec) hashLabelValues(vals []string) (uint64, error) {
return h, nil
}
func (m *metricVec) hashLabels(labels Labels) (uint64, error) {
func (m *MetricVec) hashLabels(labels Labels) (uint64, error) {
if err := validateValuesInLabels(labels, len(m.desc.variableLabels)-len(m.curry)); err != nil {
return 0, err
}
@@ -276,7 +344,9 @@ func (m *metricMap) deleteByHashWithLabelValues(
}
if len(metrics) > 1 {
old := metrics
m.metrics[h] = append(metrics[:i], metrics[i+1:]...)
old[len(old)-1] = metricWithLabelValues{}
} else {
delete(m.metrics, h)
}
@@ -302,7 +372,9 @@ func (m *metricMap) deleteByHashWithLabels(
}
if len(metrics) > 1 {
old := metrics
m.metrics[h] = append(metrics[:i], metrics[i+1:]...)
old[len(old)-1] = metricWithLabelValues{}
} else {
delete(m.metrics, h)
}

View File

@@ -17,7 +17,7 @@ import (
"fmt"
"sort"
//lint:ignore SA1019 Need to keep deprecated package for compatibility.
//nolint:staticcheck // Ignore SA1019. Need to keep deprecated package for compatibility.
"github.com/golang/protobuf/proto"
dto "github.com/prometheus/client_model/go"
@@ -32,7 +32,9 @@ import (
// in a no-op Registerer.
//
// WrapRegistererWith provides a way to add fixed labels to a subset of
// Collectors. It should not be used to add fixed labels to all metrics exposed.
// Collectors. It should not be used to add fixed labels to all metrics
// exposed. See also
// https://prometheus.io/docs/instrumenting/writing_exporters/#target-labels-not-static-scraped-labels
//
// Conflicts between Collectors registered through the original Registerer with
// Collectors registered through the wrapping Registerer will still be