gбновление зависимостей, рефакторинг кода, чтобы он выглядел как гошный проект

This commit is contained in:
eleksir
2025-04-06 20:22:16 +03:00
parent 00257b8e6c
commit cfb98fc0b3
389 changed files with 18649 additions and 9105 deletions

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@@ -16,8 +16,3 @@ Go support for Protocol Buffers - Google's data interchange format
http://github.com/golang/protobuf/
Copyright 2010 The Go Authors
See source code for license details.
Support for streaming Protocol Buffer messages for the Go language (golang).
https://github.com/matttproud/golang_protobuf_extensions
Copyright 2013 Matt T. Proud
Licensed under the Apache License, Version 2.0

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@@ -189,12 +189,15 @@ func (d *Desc) String() string {
fmt.Sprintf("%s=%q", lp.GetName(), lp.GetValue()),
)
}
vlStrings := make([]string, 0, len(d.variableLabels.names))
for _, vl := range d.variableLabels.names {
if fn, ok := d.variableLabels.labelConstraints[vl]; ok && fn != nil {
vlStrings = append(vlStrings, fmt.Sprintf("c(%s)", vl))
} else {
vlStrings = append(vlStrings, vl)
vlStrings := []string{}
if d.variableLabels != nil {
vlStrings = make([]string, 0, len(d.variableLabels.names))
for _, vl := range d.variableLabels.names {
if fn, ok := d.variableLabels.labelConstraints[vl]; ok && fn != nil {
vlStrings = append(vlStrings, fmt.Sprintf("c(%s)", vl))
} else {
vlStrings = append(vlStrings, vl)
}
}
}
return fmt.Sprintf(

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@@ -22,13 +22,13 @@ import (
// goRuntimeMemStats provides the metrics initially provided by runtime.ReadMemStats.
// From Go 1.17 those similar (and better) statistics are provided by runtime/metrics, so
// while eval closure works on runtime.MemStats, the struct from Go 1.17+ is
// populated using runtime/metrics.
// populated using runtime/metrics. Those are the defaults we can't alter.
func goRuntimeMemStats() memStatsMetrics {
return memStatsMetrics{
{
desc: NewDesc(
memstatNamespace("alloc_bytes"),
"Number of bytes allocated and still in use.",
"Number of bytes allocated in heap and currently in use. Equals to /memory/classes/heap/objects:bytes.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.Alloc) },
@@ -36,7 +36,7 @@ func goRuntimeMemStats() memStatsMetrics {
}, {
desc: NewDesc(
memstatNamespace("alloc_bytes_total"),
"Total number of bytes allocated, even if freed.",
"Total number of bytes allocated in heap until now, even if released already. Equals to /gc/heap/allocs:bytes.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.TotalAlloc) },
@@ -44,23 +44,16 @@ func goRuntimeMemStats() memStatsMetrics {
}, {
desc: NewDesc(
memstatNamespace("sys_bytes"),
"Number of bytes obtained from system.",
"Number of bytes obtained from system. Equals to /memory/classes/total:byte.",
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.",
// TODO(bwplotka): We could add go_memstats_heap_objects, probably useful for discovery. Let's gather more feedback, kind of a waste of bytes for everybody for compatibility reasons to keep both, and we can't really rename/remove useful metric.
"Total number of heap objects allocated, both live and gc-ed. Semantically a counter version for go_memstats_heap_objects gauge. Equals to /gc/heap/allocs:objects + /gc/heap/tiny/allocs:objects.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.Mallocs) },
@@ -68,7 +61,7 @@ func goRuntimeMemStats() memStatsMetrics {
}, {
desc: NewDesc(
memstatNamespace("frees_total"),
"Total number of frees.",
"Total number of heap objects frees. Equals to /gc/heap/frees:objects + /gc/heap/tiny/allocs:objects.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.Frees) },
@@ -76,7 +69,7 @@ func goRuntimeMemStats() memStatsMetrics {
}, {
desc: NewDesc(
memstatNamespace("heap_alloc_bytes"),
"Number of heap bytes allocated and still in use.",
"Number of heap bytes allocated and currently in use, same as go_memstats_alloc_bytes. Equals to /memory/classes/heap/objects:bytes.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapAlloc) },
@@ -84,7 +77,7 @@ func goRuntimeMemStats() memStatsMetrics {
}, {
desc: NewDesc(
memstatNamespace("heap_sys_bytes"),
"Number of heap bytes obtained from system.",
"Number of heap bytes obtained from system. Equals to /memory/classes/heap/objects:bytes + /memory/classes/heap/unused:bytes + /memory/classes/heap/released:bytes + /memory/classes/heap/free:bytes.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapSys) },
@@ -92,7 +85,7 @@ func goRuntimeMemStats() memStatsMetrics {
}, {
desc: NewDesc(
memstatNamespace("heap_idle_bytes"),
"Number of heap bytes waiting to be used.",
"Number of heap bytes waiting to be used. Equals to /memory/classes/heap/released:bytes + /memory/classes/heap/free:bytes.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapIdle) },
@@ -100,7 +93,7 @@ func goRuntimeMemStats() memStatsMetrics {
}, {
desc: NewDesc(
memstatNamespace("heap_inuse_bytes"),
"Number of heap bytes that are in use.",
"Number of heap bytes that are in use. Equals to /memory/classes/heap/objects:bytes + /memory/classes/heap/unused:bytes",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapInuse) },
@@ -108,7 +101,7 @@ func goRuntimeMemStats() memStatsMetrics {
}, {
desc: NewDesc(
memstatNamespace("heap_released_bytes"),
"Number of heap bytes released to OS.",
"Number of heap bytes released to OS. Equals to /memory/classes/heap/released:bytes.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapReleased) },
@@ -116,7 +109,7 @@ func goRuntimeMemStats() memStatsMetrics {
}, {
desc: NewDesc(
memstatNamespace("heap_objects"),
"Number of allocated objects.",
"Number of currently allocated objects. Equals to /gc/heap/objects:objects.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.HeapObjects) },
@@ -124,7 +117,7 @@ func goRuntimeMemStats() memStatsMetrics {
}, {
desc: NewDesc(
memstatNamespace("stack_inuse_bytes"),
"Number of bytes in use by the stack allocator.",
"Number of bytes obtained from system for stack allocator in non-CGO environments. Equals to /memory/classes/heap/stacks:bytes.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.StackInuse) },
@@ -132,7 +125,7 @@ func goRuntimeMemStats() memStatsMetrics {
}, {
desc: NewDesc(
memstatNamespace("stack_sys_bytes"),
"Number of bytes obtained from system for stack allocator.",
"Number of bytes obtained from system for stack allocator. Equals to /memory/classes/heap/stacks:bytes + /memory/classes/os-stacks:bytes.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.StackSys) },
@@ -140,7 +133,7 @@ func goRuntimeMemStats() memStatsMetrics {
}, {
desc: NewDesc(
memstatNamespace("mspan_inuse_bytes"),
"Number of bytes in use by mspan structures.",
"Number of bytes in use by mspan structures. Equals to /memory/classes/metadata/mspan/inuse:bytes.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.MSpanInuse) },
@@ -148,7 +141,7 @@ func goRuntimeMemStats() memStatsMetrics {
}, {
desc: NewDesc(
memstatNamespace("mspan_sys_bytes"),
"Number of bytes used for mspan structures obtained from system.",
"Number of bytes used for mspan structures obtained from system. Equals to /memory/classes/metadata/mspan/inuse:bytes + /memory/classes/metadata/mspan/free:bytes.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.MSpanSys) },
@@ -156,7 +149,7 @@ func goRuntimeMemStats() memStatsMetrics {
}, {
desc: NewDesc(
memstatNamespace("mcache_inuse_bytes"),
"Number of bytes in use by mcache structures.",
"Number of bytes in use by mcache structures. Equals to /memory/classes/metadata/mcache/inuse:bytes.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.MCacheInuse) },
@@ -164,7 +157,7 @@ func goRuntimeMemStats() memStatsMetrics {
}, {
desc: NewDesc(
memstatNamespace("mcache_sys_bytes"),
"Number of bytes used for mcache structures obtained from system.",
"Number of bytes used for mcache structures obtained from system. Equals to /memory/classes/metadata/mcache/inuse:bytes + /memory/classes/metadata/mcache/free:bytes.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.MCacheSys) },
@@ -172,7 +165,7 @@ func goRuntimeMemStats() memStatsMetrics {
}, {
desc: NewDesc(
memstatNamespace("buck_hash_sys_bytes"),
"Number of bytes used by the profiling bucket hash table.",
"Number of bytes used by the profiling bucket hash table. Equals to /memory/classes/profiling/buckets:bytes.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.BuckHashSys) },
@@ -180,7 +173,7 @@ func goRuntimeMemStats() memStatsMetrics {
}, {
desc: NewDesc(
memstatNamespace("gc_sys_bytes"),
"Number of bytes used for garbage collection system metadata.",
"Number of bytes used for garbage collection system metadata. Equals to /memory/classes/metadata/other:bytes.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.GCSys) },
@@ -188,7 +181,7 @@ func goRuntimeMemStats() memStatsMetrics {
}, {
desc: NewDesc(
memstatNamespace("other_sys_bytes"),
"Number of bytes used for other system allocations.",
"Number of bytes used for other system allocations. Equals to /memory/classes/other:bytes.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.OtherSys) },
@@ -196,7 +189,7 @@ func goRuntimeMemStats() memStatsMetrics {
}, {
desc: NewDesc(
memstatNamespace("next_gc_bytes"),
"Number of heap bytes when next garbage collection will take place.",
"Number of heap bytes when next garbage collection will take place. Equals to /gc/heap/goal:bytes.",
nil, nil,
),
eval: func(ms *runtime.MemStats) float64 { return float64(ms.NextGC) },
@@ -225,7 +218,7 @@ func newBaseGoCollector() baseGoCollector {
nil, nil),
gcDesc: NewDesc(
"go_gc_duration_seconds",
"A summary of the pause duration of garbage collection cycles.",
"A summary of the wall-time pause (stop-the-world) duration in garbage collection cycles.",
nil, nil),
gcLastTimeDesc: NewDesc(
"go_memstats_last_gc_time_seconds",

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@@ -17,6 +17,7 @@
package prometheus
import (
"fmt"
"math"
"runtime"
"runtime/metrics"
@@ -153,7 +154,8 @@ func defaultGoCollectorOptions() internal.GoCollectorOptions {
"/gc/heap/frees-by-size:bytes": goGCHeapFreesBytes,
},
RuntimeMetricRules: []internal.GoCollectorRule{
//{Matcher: regexp.MustCompile("")},
// Recommended metrics we want by default from runtime/metrics.
{Matcher: internal.GoCollectorDefaultRuntimeMetrics},
},
}
}
@@ -203,6 +205,7 @@ func NewGoCollector(opts ...func(o *internal.GoCollectorOptions)) Collector {
// to fail here. This condition is tested in TestExpectedRuntimeMetrics.
continue
}
help := attachOriginalName(d.Description.Description, d.Name)
sampleBuf = append(sampleBuf, metrics.Sample{Name: d.Name})
sampleMap[d.Name] = &sampleBuf[len(sampleBuf)-1]
@@ -214,7 +217,7 @@ func NewGoCollector(opts ...func(o *internal.GoCollectorOptions)) Collector {
m = newBatchHistogram(
NewDesc(
BuildFQName(namespace, subsystem, name),
d.Description.Description,
help,
nil,
nil,
),
@@ -226,7 +229,7 @@ func NewGoCollector(opts ...func(o *internal.GoCollectorOptions)) Collector {
Namespace: namespace,
Subsystem: subsystem,
Name: name,
Help: d.Description.Description,
Help: help,
},
)
} else {
@@ -234,7 +237,7 @@ func NewGoCollector(opts ...func(o *internal.GoCollectorOptions)) Collector {
Namespace: namespace,
Subsystem: subsystem,
Name: name,
Help: d.Description.Description,
Help: help,
})
}
metricSet = append(metricSet, m)
@@ -284,6 +287,10 @@ func NewGoCollector(opts ...func(o *internal.GoCollectorOptions)) Collector {
}
}
func attachOriginalName(desc, origName string) string {
return fmt.Sprintf("%s Sourced from %s.", desc, origName)
}
// Describe returns all descriptions of the collector.
func (c *goCollector) Describe(ch chan<- *Desc) {
c.base.Describe(ch)
@@ -376,13 +383,13 @@ func unwrapScalarRMValue(v metrics.Value) float64 {
//
// This should never happen because we always populate our metric
// set from the runtime/metrics package.
panic("unexpected unsupported metric")
panic("unexpected bad kind 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")
panic(fmt.Sprintf("unexpected unsupported metric: %v", v.Kind()))
}
}

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@@ -14,6 +14,7 @@
package prometheus
import (
"errors"
"fmt"
"math"
"runtime"
@@ -28,6 +29,11 @@ import (
"google.golang.org/protobuf/types/known/timestamppb"
)
const (
nativeHistogramSchemaMaximum = 8
nativeHistogramSchemaMinimum = -4
)
// nativeHistogramBounds for the frac of observed values. Only relevant for
// schema > 0. The position in the slice is the schema. (0 is never used, just
// here for convenience of using the schema directly as the index.)
@@ -330,11 +336,11 @@ func ExponentialBuckets(start, factor float64, count int) []float64 {
// 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 {
func ExponentialBucketsRange(minBucket, maxBucket float64, count int) []float64 {
if count < 1 {
panic("ExponentialBucketsRange count needs a positive count")
}
if min <= 0 {
if minBucket <= 0 {
panic("ExponentialBucketsRange min needs to be greater than 0")
}
@@ -342,12 +348,12 @@ func ExponentialBucketsRange(min, max float64, count int) []float64 {
// 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))
growthFactor := math.Pow(maxBucket/minBucket, 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))
buckets[i-1] = minBucket * math.Pow(growthFactor, float64(i-1))
}
return buckets
}
@@ -440,7 +446,7 @@ type HistogramOpts struct {
// constant (or any negative float value).
NativeHistogramZeroThreshold float64
// The remaining fields define a strategy to limit the number of
// The next three fields define a strategy to limit the number of
// populated sparse buckets. If NativeHistogramMaxBucketNumber is left
// at zero, the number of buckets is not limited. (Note that this might
// lead to unbounded memory consumption if the values observed by the
@@ -473,6 +479,22 @@ type HistogramOpts struct {
NativeHistogramMinResetDuration time.Duration
NativeHistogramMaxZeroThreshold float64
// NativeHistogramMaxExemplars limits the number of exemplars
// that are kept in memory for each native histogram. If you leave it at
// zero, a default value of 10 is used. If no exemplars should be kept specifically
// for native histograms, set it to a negative value. (Scrapers can
// still use the exemplars exposed for classic buckets, which are managed
// independently.)
NativeHistogramMaxExemplars int
// NativeHistogramExemplarTTL is only checked once
// NativeHistogramMaxExemplars is exceeded. In that case, the
// oldest exemplar is removed if it is older than NativeHistogramExemplarTTL.
// Otherwise, the older exemplar in the pair of exemplars that are closest
// together (on an exponential scale) is removed.
// If NativeHistogramExemplarTTL is left at its zero value, a default value of
// 5m is used. To always delete the oldest exemplar, set it to a negative value.
NativeHistogramExemplarTTL time.Duration
// now is for testing purposes, by default it's time.Now.
now func() time.Time
@@ -532,6 +554,7 @@ func newHistogram(desc *Desc, opts HistogramOpts, labelValues ...string) Histogr
if opts.afterFunc == nil {
opts.afterFunc = time.AfterFunc
}
h := &histogram{
desc: desc,
upperBounds: opts.Buckets,
@@ -556,6 +579,7 @@ func newHistogram(desc *Desc, opts HistogramOpts, labelValues ...string) Histogr
h.nativeHistogramZeroThreshold = DefNativeHistogramZeroThreshold
} // Leave h.nativeHistogramZeroThreshold at 0 otherwise.
h.nativeHistogramSchema = pickSchema(opts.NativeHistogramBucketFactor)
h.nativeExemplars = makeNativeExemplars(opts.NativeHistogramExemplarTTL, opts.NativeHistogramMaxExemplars)
}
for i, upperBound := range h.upperBounds {
if i < len(h.upperBounds)-1 {
@@ -725,7 +749,8 @@ type histogram struct {
// resetScheduled is protected by mtx. It is true if a reset is
// scheduled for a later time (when nativeHistogramMinResetDuration has
// passed).
resetScheduled bool
resetScheduled bool
nativeExemplars nativeExemplars
// now is for testing purposes, by default it's time.Now.
now func() time.Time
@@ -742,6 +767,9 @@ func (h *histogram) Observe(v float64) {
h.observe(v, h.findBucket(v))
}
// ObserveWithExemplar should not be called in a high-frequency setting
// for a native histogram with configured exemplars. For this case,
// the implementation isn't lock-free and might suffer from lock contention.
func (h *histogram) ObserveWithExemplar(v float64, e Labels) {
i := h.findBucket(v)
h.observe(v, i)
@@ -821,6 +849,13 @@ func (h *histogram) Write(out *dto.Metric) error {
Length: proto.Uint32(0),
}}
}
if h.nativeExemplars.isEnabled() {
h.nativeExemplars.Lock()
his.Exemplars = append(his.Exemplars, h.nativeExemplars.exemplars...)
h.nativeExemplars.Unlock()
}
}
addAndResetCounts(hotCounts, coldCounts)
return nil
@@ -829,15 +864,35 @@ func (h *histogram) Write(out *dto.Metric) error {
// findBucket returns the index of the bucket for the provided value, or
// len(h.upperBounds) for the +Inf bucket.
func (h *histogram) findBucket(v float64) int {
// TODO(beorn7): For small numbers of buckets (<30), a linear search is
// slightly faster than the binary search. If we really care, we could
// switch from one search strategy to the other depending on the number
// of buckets.
//
// Microbenchmarks (BenchmarkHistogramNoLabels):
// 11 buckets: 38.3 ns/op linear - binary 48.7 ns/op
// 100 buckets: 78.1 ns/op linear - binary 54.9 ns/op
// 300 buckets: 154 ns/op linear - binary 61.6 ns/op
n := len(h.upperBounds)
if n == 0 {
return 0
}
// Early exit: if v is less than or equal to the first upper bound, return 0
if v <= h.upperBounds[0] {
return 0
}
// Early exit: if v is greater than the last upper bound, return len(h.upperBounds)
if v > h.upperBounds[n-1] {
return n
}
// For small arrays, use simple linear search
// "magic number" 35 is result of tests on couple different (AWS and baremetal) servers
// see more details here: https://github.com/prometheus/client_golang/pull/1662
if n < 35 {
for i, bound := range h.upperBounds {
if v <= bound {
return i
}
}
// If v is greater than all upper bounds, return len(h.upperBounds)
return n
}
// For larger arrays, use stdlib's binary search
return sort.SearchFloat64s(h.upperBounds, v)
}
@@ -1091,8 +1146,10 @@ func (h *histogram) resetCounts(counts *histogramCounts) {
deleteSyncMap(&counts.nativeHistogramBucketsPositive)
}
// updateExemplar replaces the exemplar for the provided bucket. With empty
// labels, it's a no-op. It panics if any of the labels is invalid.
// updateExemplar replaces the exemplar for the provided classic bucket.
// With empty labels, it's a no-op. It panics if any of the labels is invalid.
// If histogram is native, the exemplar will be cached into nativeExemplars,
// which has a limit, and will remove one exemplar when limit is reached.
func (h *histogram) updateExemplar(v float64, bucket int, l Labels) {
if l == nil {
return
@@ -1102,6 +1159,10 @@ func (h *histogram) updateExemplar(v float64, bucket int, l Labels) {
panic(err)
}
h.exemplars[bucket].Store(e)
doSparse := h.nativeHistogramSchema > math.MinInt32 && !math.IsNaN(v)
if doSparse {
h.nativeExemplars.addExemplar(e)
}
}
// HistogramVec is a Collector that bundles a set of Histograms that all share the
@@ -1336,6 +1397,48 @@ func MustNewConstHistogram(
return m
}
// NewConstHistogramWithCreatedTimestamp does the same thing as NewConstHistogram but sets the created timestamp.
func NewConstHistogramWithCreatedTimestamp(
desc *Desc,
count uint64,
sum float64,
buckets map[float64]uint64,
ct time.Time,
labelValues ...string,
) (Metric, error) {
if desc.err != nil {
return nil, desc.err
}
if err := validateLabelValues(labelValues, len(desc.variableLabels.names)); err != nil {
return nil, err
}
return &constHistogram{
desc: desc,
count: count,
sum: sum,
buckets: buckets,
labelPairs: MakeLabelPairs(desc, labelValues),
createdTs: timestamppb.New(ct),
}, nil
}
// MustNewConstHistogramWithCreatedTimestamp is a version of NewConstHistogramWithCreatedTimestamp that panics where
// NewConstHistogramWithCreatedTimestamp would have returned an error.
func MustNewConstHistogramWithCreatedTimestamp(
desc *Desc,
count uint64,
sum float64,
buckets map[float64]uint64,
ct time.Time,
labelValues ...string,
) Metric {
m, err := NewConstHistogramWithCreatedTimestamp(desc, count, sum, buckets, ct, labelValues...)
if err != nil {
panic(err)
}
return m
}
type buckSort []*dto.Bucket
func (s buckSort) Len() int {
@@ -1363,9 +1466,9 @@ func pickSchema(bucketFactor float64) int32 {
floor := math.Floor(math.Log2(math.Log2(bucketFactor)))
switch {
case floor <= -8:
return 8
return nativeHistogramSchemaMaximum
case floor >= 4:
return -4
return nativeHistogramSchemaMinimum
default:
return -int32(floor)
}
@@ -1575,3 +1678,379 @@ func addAndResetCounts(hot, cold *histogramCounts) {
atomic.AddUint64(&hot.nativeHistogramZeroBucket, atomic.LoadUint64(&cold.nativeHistogramZeroBucket))
atomic.StoreUint64(&cold.nativeHistogramZeroBucket, 0)
}
type nativeExemplars struct {
sync.Mutex
// Time-to-live for exemplars, it is set to -1 if exemplars are disabled, that is NativeHistogramMaxExemplars is below 0.
// The ttl is used on insertion to remove an exemplar that is older than ttl, if present.
ttl time.Duration
exemplars []*dto.Exemplar
}
func (n *nativeExemplars) isEnabled() bool {
return n.ttl != -1
}
func makeNativeExemplars(ttl time.Duration, maxCount int) nativeExemplars {
if ttl == 0 {
ttl = 5 * time.Minute
}
if maxCount == 0 {
maxCount = 10
}
if maxCount < 0 {
maxCount = 0
ttl = -1
}
return nativeExemplars{
ttl: ttl,
exemplars: make([]*dto.Exemplar, 0, maxCount),
}
}
func (n *nativeExemplars) addExemplar(e *dto.Exemplar) {
if !n.isEnabled() {
return
}
n.Lock()
defer n.Unlock()
// When the number of exemplars has not yet exceeded or
// is equal to cap(n.exemplars), then
// insert the new exemplar directly.
if len(n.exemplars) < cap(n.exemplars) {
var nIdx int
for nIdx = 0; nIdx < len(n.exemplars); nIdx++ {
if *e.Value < *n.exemplars[nIdx].Value {
break
}
}
n.exemplars = append(n.exemplars[:nIdx], append([]*dto.Exemplar{e}, n.exemplars[nIdx:]...)...)
return
}
if len(n.exemplars) == 1 {
// When the number of exemplars is 1, then
// replace the existing exemplar with the new exemplar.
n.exemplars[0] = e
return
}
// From this point on, the number of exemplars is greater than 1.
// When the number of exemplars exceeds the limit, remove one exemplar.
var (
ot = time.Time{} // Oldest timestamp seen. Initial value doesn't matter as we replace it due to otIdx == -1 in the loop.
otIdx = -1 // Index of the exemplar with the oldest timestamp.
md = -1.0 // Logarithm of the delta of the closest pair of exemplars.
// The insertion point of the new exemplar in the exemplars slice after insertion.
// This is calculated purely based on the order of the exemplars by value.
// nIdx == len(n.exemplars) means the new exemplar is to be inserted after the end.
nIdx = -1
// rIdx is ultimately the index for the exemplar that we are replacing with the new exemplar.
// The aim is to keep a good spread of exemplars by value and not let them bunch up too much.
// It is calculated in 3 steps:
// 1. First we set rIdx to the index of the older exemplar within the closest pair by value.
// That is the following will be true (on log scale):
// either the exemplar pair on index (rIdx-1, rIdx) or (rIdx, rIdx+1) will have
// the closest values to each other from all pairs.
// For example, suppose the values are distributed like this:
// |-----------x-------------x----------------x----x-----|
// ^--rIdx as this is older.
// Or like this:
// |-----------x-------------x----------------x----x-----|
// ^--rIdx as this is older.
// 2. If there is an exemplar that expired, then we simple reset rIdx to that index.
// 3. We check if by inserting the new exemplar we would create a closer pair at
// (nIdx-1, nIdx) or (nIdx, nIdx+1) and set rIdx to nIdx-1 or nIdx accordingly to
// keep the spread of exemplars by value; otherwise we keep rIdx as it is.
rIdx = -1
cLog float64 // Logarithm of the current exemplar.
pLog float64 // Logarithm of the previous exemplar.
)
for i, exemplar := range n.exemplars {
// Find the exemplar with the oldest timestamp.
if otIdx == -1 || exemplar.Timestamp.AsTime().Before(ot) {
ot = exemplar.Timestamp.AsTime()
otIdx = i
}
// Find the index at which to insert new the exemplar.
if nIdx == -1 && *e.Value <= *exemplar.Value {
nIdx = i
}
// Find the two closest exemplars and pick the one the with older timestamp.
pLog = cLog
cLog = math.Log(exemplar.GetValue())
if i == 0 {
continue
}
diff := math.Abs(cLog - pLog)
if md == -1 || diff < md {
// The closest exemplar pair is at index: i-1, i.
// Choose the exemplar with the older timestamp for replacement.
md = diff
if n.exemplars[i].Timestamp.AsTime().Before(n.exemplars[i-1].Timestamp.AsTime()) {
rIdx = i
} else {
rIdx = i - 1
}
}
}
// If all existing exemplar are smaller than new exemplar,
// then the exemplar should be inserted at the end.
if nIdx == -1 {
nIdx = len(n.exemplars)
}
// Here, we have the following relationships:
// n.exemplars[nIdx-1].Value < e.Value (if nIdx > 0)
// e.Value <= n.exemplars[nIdx].Value (if nIdx < len(n.exemplars))
if otIdx != -1 && e.Timestamp.AsTime().Sub(ot) > n.ttl {
// If the oldest exemplar has expired, then replace it with the new exemplar.
rIdx = otIdx
} else {
// In the previous for loop, when calculating the closest pair of exemplars,
// we did not take into account the newly inserted exemplar.
// So we need to calculate with the newly inserted exemplar again.
elog := math.Log(e.GetValue())
if nIdx > 0 {
diff := math.Abs(elog - math.Log(n.exemplars[nIdx-1].GetValue()))
if diff < md {
// The value we are about to insert is closer to the previous exemplar at the insertion point than what we calculated before in rIdx.
// v--rIdx
// |-----------x-n-----------x----------------x----x-----|
// nIdx-1--^ ^--new exemplar value
// Do not make the spread worse, replace nIdx-1 and not rIdx.
md = diff
rIdx = nIdx - 1
}
}
if nIdx < len(n.exemplars) {
diff := math.Abs(math.Log(n.exemplars[nIdx].GetValue()) - elog)
if diff < md {
// The value we are about to insert is closer to the next exemplar at the insertion point than what we calculated before in rIdx.
// v--rIdx
// |-----------x-----------n-x----------------x----x-----|
// new exemplar value--^ ^--nIdx
// Do not make the spread worse, replace nIdx-1 and not rIdx.
rIdx = nIdx
}
}
}
// Adjust the slice according to rIdx and nIdx.
switch {
case rIdx == nIdx:
n.exemplars[nIdx] = e
case rIdx < nIdx:
n.exemplars = append(n.exemplars[:rIdx], append(n.exemplars[rIdx+1:nIdx], append([]*dto.Exemplar{e}, n.exemplars[nIdx:]...)...)...)
case rIdx > nIdx:
n.exemplars = append(n.exemplars[:nIdx], append([]*dto.Exemplar{e}, append(n.exemplars[nIdx:rIdx], n.exemplars[rIdx+1:]...)...)...)
}
}
type constNativeHistogram struct {
desc *Desc
dto.Histogram
labelPairs []*dto.LabelPair
}
func validateCount(sum float64, count uint64, negativeBuckets, positiveBuckets map[int]int64, zeroBucket uint64) error {
var bucketPopulationSum int64
for _, v := range positiveBuckets {
bucketPopulationSum += v
}
for _, v := range negativeBuckets {
bucketPopulationSum += v
}
bucketPopulationSum += int64(zeroBucket)
// If the sum of observations is NaN, the number of observations must be greater or equal to the sum of all bucket counts.
// Otherwise, the number of observations must be equal to the sum of all bucket counts .
if math.IsNaN(sum) && bucketPopulationSum > int64(count) ||
!math.IsNaN(sum) && bucketPopulationSum != int64(count) {
return errors.New("the sum of all bucket populations exceeds the count of observations")
}
return nil
}
// NewConstNativeHistogram returns a metric representing a Prometheus native histogram with
// fixed values for the count, sum, and positive/negative/zero bucket counts. As those parameters
// cannot be changed, the returned value does not implement the Histogram
// interface (but only the Metric interface). Users of this package will not
// have much use for it in regular operations. However, when implementing custom
// OpenTelemetry Collectors, it is useful as a throw-away metric that is generated on the fly
// to send it to Prometheus in the Collect method.
//
// zeroBucket counts all (positive and negative)
// observations in the zero bucket (with an absolute value less or equal
// the current threshold).
// positiveBuckets and negativeBuckets are separate maps for negative and positive
// observations. The map's value is an int64, counting observations in
// that bucket. The map's key is the
// index of the bucket according to the used
// Schema. Index 0 is for an upper bound of 1 in positive buckets and for a lower bound of -1 in negative buckets.
// NewConstNativeHistogram returns an error if
// - the length of labelValues is not consistent with the variable labels in Desc or if Desc is invalid.
// - the schema passed is not between 8 and -4
// - the sum of counts in all buckets including the zero bucket does not equal the count if sum is not NaN (or exceeds the count if sum is NaN)
//
// See https://opentelemetry.io/docs/specs/otel/compatibility/prometheus_and_openmetrics/#exponential-histograms for more details about the conversion from OTel to Prometheus.
func NewConstNativeHistogram(
desc *Desc,
count uint64,
sum float64,
positiveBuckets, negativeBuckets map[int]int64,
zeroBucket uint64,
schema int32,
zeroThreshold float64,
createdTimestamp time.Time,
labelValues ...string,
) (Metric, error) {
if desc.err != nil {
return nil, desc.err
}
if err := validateLabelValues(labelValues, len(desc.variableLabels.names)); err != nil {
return nil, err
}
if schema > nativeHistogramSchemaMaximum || schema < nativeHistogramSchemaMinimum {
return nil, errors.New("invalid native histogram schema")
}
if err := validateCount(sum, count, negativeBuckets, positiveBuckets, zeroBucket); err != nil {
return nil, err
}
NegativeSpan, NegativeDelta := makeBucketsFromMap(negativeBuckets)
PositiveSpan, PositiveDelta := makeBucketsFromMap(positiveBuckets)
ret := &constNativeHistogram{
desc: desc,
Histogram: dto.Histogram{
CreatedTimestamp: timestamppb.New(createdTimestamp),
Schema: &schema,
ZeroThreshold: &zeroThreshold,
SampleCount: &count,
SampleSum: &sum,
NegativeSpan: NegativeSpan,
NegativeDelta: NegativeDelta,
PositiveSpan: PositiveSpan,
PositiveDelta: PositiveDelta,
ZeroCount: proto.Uint64(zeroBucket),
},
labelPairs: MakeLabelPairs(desc, labelValues),
}
if *ret.ZeroThreshold == 0 && *ret.ZeroCount == 0 && len(ret.PositiveSpan) == 0 && len(ret.NegativeSpan) == 0 {
ret.PositiveSpan = []*dto.BucketSpan{{
Offset: proto.Int32(0),
Length: proto.Uint32(0),
}}
}
return ret, nil
}
// MustNewConstNativeHistogram is a version of NewConstNativeHistogram that panics where
// NewConstNativeHistogram would have returned an error.
func MustNewConstNativeHistogram(
desc *Desc,
count uint64,
sum float64,
positiveBuckets, negativeBuckets map[int]int64,
zeroBucket uint64,
nativeHistogramSchema int32,
nativeHistogramZeroThreshold float64,
createdTimestamp time.Time,
labelValues ...string,
) Metric {
nativehistogram, err := NewConstNativeHistogram(desc,
count,
sum,
positiveBuckets,
negativeBuckets,
zeroBucket,
nativeHistogramSchema,
nativeHistogramZeroThreshold,
createdTimestamp,
labelValues...)
if err != nil {
panic(err)
}
return nativehistogram
}
func (h *constNativeHistogram) Desc() *Desc {
return h.desc
}
func (h *constNativeHistogram) Write(out *dto.Metric) error {
out.Histogram = &h.Histogram
out.Label = h.labelPairs
return nil
}
func makeBucketsFromMap(buckets map[int]int64) ([]*dto.BucketSpan, []int64) {
if len(buckets) == 0 {
return nil, nil
}
var ii []int
for k := range buckets {
ii = append(ii, k)
}
sort.Ints(ii)
var (
spans []*dto.BucketSpan
deltas []int64
prevCount int64
nextI int
)
appendDelta := func(count int64) {
*spans[len(spans)-1].Length++
deltas = append(deltas, count-prevCount)
prevCount = count
}
for n, i := range ii {
count := buckets[i]
// Multiple spans with only small gaps in between are probably
// encoded more efficiently as one larger span with a few empty
// buckets. Needs some research to find the sweet spot. For now,
// we assume that gaps of one or two buckets should not create
// a new span.
iDelta := int32(i - nextI)
if n == 0 || iDelta > 2 {
// We have to create a new span, either because we are
// at the very beginning, or because we have found a gap
// of more than two buckets.
spans = append(spans, &dto.BucketSpan{
Offset: proto.Int32(iDelta),
Length: proto.Uint32(0),
})
} else {
// We have found a small gap (or no gap at all).
// Insert empty buckets as needed.
for j := int32(0); j < iDelta; j++ {
appendDelta(0)
}
}
appendDelta(count)
nextI = i + 1
}
return spans, deltas
}

View File

@@ -22,17 +22,18 @@ import (
"bytes"
"fmt"
"io"
"strconv"
"strings"
)
func min(a, b int) int {
func minInt(a, b int) int {
if a < b {
return a
}
return b
}
func max(a, b int) int {
func maxInt(a, b int) int {
if a > b {
return a
}
@@ -427,12 +428,12 @@ func (m *SequenceMatcher) GetGroupedOpCodes(n int) [][]OpCode {
if codes[0].Tag == 'e' {
c := codes[0]
i1, i2, j1, j2 := c.I1, c.I2, c.J1, c.J2
codes[0] = OpCode{c.Tag, max(i1, i2-n), i2, max(j1, j2-n), j2}
codes[0] = OpCode{c.Tag, maxInt(i1, i2-n), i2, maxInt(j1, j2-n), j2}
}
if codes[len(codes)-1].Tag == 'e' {
c := codes[len(codes)-1]
i1, i2, j1, j2 := c.I1, c.I2, c.J1, c.J2
codes[len(codes)-1] = OpCode{c.Tag, i1, min(i2, i1+n), j1, min(j2, j1+n)}
codes[len(codes)-1] = OpCode{c.Tag, i1, minInt(i2, i1+n), j1, minInt(j2, j1+n)}
}
nn := n + n
groups := [][]OpCode{}
@@ -443,12 +444,12 @@ func (m *SequenceMatcher) GetGroupedOpCodes(n int) [][]OpCode {
// there is a large range with no changes.
if c.Tag == 'e' && i2-i1 > nn {
group = append(group, OpCode{
c.Tag, i1, min(i2, i1+n),
j1, min(j2, j1+n),
c.Tag, i1, minInt(i2, i1+n),
j1, minInt(j2, j1+n),
})
groups = append(groups, group)
group = []OpCode{}
i1, j1 = max(i1, i2-n), max(j1, j2-n)
i1, j1 = maxInt(i1, i2-n), maxInt(j1, j2-n)
}
group = append(group, OpCode{c.Tag, i1, i2, j1, j2})
}
@@ -515,7 +516,7 @@ func (m *SequenceMatcher) QuickRatio() float64 {
// is faster to compute than either .Ratio() or .QuickRatio().
func (m *SequenceMatcher) RealQuickRatio() float64 {
la, lb := len(m.a), len(m.b)
return calculateRatio(min(la, lb), la+lb)
return calculateRatio(minInt(la, lb), la+lb)
}
// Convert range to the "ed" format
@@ -524,7 +525,7 @@ func formatRangeUnified(start, stop int) string {
beginning := start + 1 // lines start numbering with one
length := stop - start
if length == 1 {
return fmt.Sprintf("%d", beginning)
return strconv.Itoa(beginning)
}
if length == 0 {
beginning-- // empty ranges begin at line just before the range

View File

@@ -30,3 +30,5 @@ type GoCollectorOptions struct {
RuntimeMetricSumForHist map[string]string
RuntimeMetricRules []GoCollectorRule
}
var GoCollectorDefaultRuntimeMetrics = regexp.MustCompile(`/gc/gogc:percent|/gc/gomemlimit:bytes|/sched/gomaxprocs:threads`)

View File

@@ -66,7 +66,8 @@ func RuntimeMetricsToProm(d *metrics.Description) (string, string, string, bool)
name += "_total"
}
valid := model.IsValidMetricName(model.LabelValue(namespace + "_" + subsystem + "_" + name))
// Our current conversion moves to legacy naming, so use legacy validation.
valid := model.IsValidLegacyMetricName(namespace + "_" + subsystem + "_" + name)
switch d.Kind {
case metrics.KindUint64:
case metrics.KindFloat64:

View File

@@ -108,15 +108,23 @@ func BuildFQName(namespace, subsystem, name string) string {
if name == "" {
return ""
}
switch {
case namespace != "" && subsystem != "":
return strings.Join([]string{namespace, subsystem, name}, "_")
case namespace != "":
return strings.Join([]string{namespace, name}, "_")
case subsystem != "":
return strings.Join([]string{subsystem, name}, "_")
sb := strings.Builder{}
sb.Grow(len(namespace) + len(subsystem) + len(name) + 2)
if namespace != "" {
sb.WriteString(namespace)
sb.WriteString("_")
}
return name
if subsystem != "" {
sb.WriteString(subsystem)
sb.WriteString("_")
}
sb.WriteString(name)
return sb.String()
}
type invalidMetric struct {
@@ -234,7 +242,7 @@ func NewMetricWithExemplars(m Metric, exemplars ...Exemplar) (Metric, error) {
)
for i, e := range exemplars {
ts := e.Timestamp
if ts == (time.Time{}) {
if ts.IsZero() {
ts = now
}
exs[i], err = newExemplar(e.Value, ts, e.Labels)

View File

@@ -22,14 +22,16 @@ import (
)
type processCollector struct {
collectFn func(chan<- Metric)
pidFn func() (int, error)
reportErrors bool
cpuTotal *Desc
openFDs, maxFDs *Desc
vsize, maxVsize *Desc
rss *Desc
startTime *Desc
collectFn func(chan<- Metric)
describeFn func(chan<- *Desc)
pidFn func() (int, error)
reportErrors bool
cpuTotal *Desc
openFDs, maxFDs *Desc
vsize, maxVsize *Desc
rss *Desc
startTime *Desc
inBytes, outBytes *Desc
}
// ProcessCollectorOpts defines the behavior of a process metrics collector
@@ -100,6 +102,16 @@ func NewProcessCollector(opts ProcessCollectorOpts) Collector {
"Start time of the process since unix epoch in seconds.",
nil, nil,
),
inBytes: NewDesc(
ns+"process_network_receive_bytes_total",
"Number of bytes received by the process over the network.",
nil, nil,
),
outBytes: NewDesc(
ns+"process_network_transmit_bytes_total",
"Number of bytes sent by the process over the network.",
nil, nil,
),
}
if opts.PidFn == nil {
@@ -111,24 +123,23 @@ func NewProcessCollector(opts ProcessCollectorOpts) Collector {
// Set up process metric collection if supported by the runtime.
if canCollectProcess() {
c.collectFn = c.processCollect
c.describeFn = c.describe
} else {
c.collectFn = func(ch chan<- Metric) {
c.reportError(ch, nil, errors.New("process metrics not supported on this platform"))
}
c.collectFn = c.errorCollectFn
c.describeFn = c.errorDescribeFn
}
return c
}
// Describe returns all descriptions of the collector.
func (c *processCollector) Describe(ch chan<- *Desc) {
ch <- c.cpuTotal
ch <- c.openFDs
ch <- c.maxFDs
ch <- c.vsize
ch <- c.maxVsize
ch <- c.rss
ch <- c.startTime
func (c *processCollector) errorCollectFn(ch chan<- Metric) {
c.reportError(ch, nil, errors.New("process metrics not supported on this platform"))
}
func (c *processCollector) errorDescribeFn(ch chan<- *Desc) {
if c.reportErrors {
ch <- NewInvalidDesc(errors.New("process metrics not supported on this platform"))
}
}
// Collect returns the current state of all metrics of the collector.
@@ -136,6 +147,11 @@ func (c *processCollector) Collect(ch chan<- Metric) {
c.collectFn(ch)
}
// Describe returns all descriptions of the collector.
func (c *processCollector) Describe(ch chan<- *Desc) {
c.describeFn(ch)
}
func (c *processCollector) reportError(ch chan<- Metric, desc *Desc, err error) {
if !c.reportErrors {
return

View File

@@ -0,0 +1,130 @@
// Copyright 2024 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 darwin && !ios
package prometheus
import (
"errors"
"fmt"
"os"
"syscall"
"time"
"golang.org/x/sys/unix"
)
// notImplementedErr is returned by stub functions that replace cgo functions, when cgo
// isn't available.
var notImplementedErr = errors.New("not implemented")
type memoryInfo struct {
vsize uint64 // Virtual memory size in bytes
rss uint64 // Resident memory size in bytes
}
func canCollectProcess() bool {
return true
}
func getSoftLimit(which int) (uint64, error) {
rlimit := syscall.Rlimit{}
if err := syscall.Getrlimit(which, &rlimit); err != nil {
return 0, err
}
return rlimit.Cur, nil
}
func getOpenFileCount() (float64, error) {
// Alternately, the undocumented proc_pidinfo(PROC_PIDLISTFDS) can be used to
// return a list of open fds, but that requires a way to call C APIs. The
// benefits, however, include fewer system calls and not failing when at the
// open file soft limit.
if dir, err := os.Open("/dev/fd"); err != nil {
return 0.0, err
} else {
defer dir.Close()
// Avoid ReadDir(), as it calls stat(2) on each descriptor. Not only is
// that info not used, but KQUEUE descriptors fail stat(2), which causes
// the whole method to fail.
if names, err := dir.Readdirnames(0); err != nil {
return 0.0, err
} else {
// Subtract 1 to ignore the open /dev/fd descriptor above.
return float64(len(names) - 1), nil
}
}
}
func (c *processCollector) processCollect(ch chan<- Metric) {
if procs, err := unix.SysctlKinfoProcSlice("kern.proc.pid", os.Getpid()); err == nil {
if len(procs) == 1 {
startTime := float64(procs[0].Proc.P_starttime.Nano() / 1e9)
ch <- MustNewConstMetric(c.startTime, GaugeValue, startTime)
} else {
err = fmt.Errorf("sysctl() returned %d proc structs (expected 1)", len(procs))
c.reportError(ch, c.startTime, err)
}
} else {
c.reportError(ch, c.startTime, err)
}
// The proc structure returned by kern.proc.pid above has an Rusage member,
// but it is not filled in, so it needs to be fetched by getrusage(2). For
// that call, the UTime, STime, and Maxrss members are filled out, but not
// Ixrss, Idrss, or Isrss for the memory usage. Memory stats will require
// access to the C API to call task_info(TASK_BASIC_INFO).
rusage := unix.Rusage{}
if err := unix.Getrusage(syscall.RUSAGE_SELF, &rusage); err == nil {
cpuTime := time.Duration(rusage.Stime.Nano() + rusage.Utime.Nano()).Seconds()
ch <- MustNewConstMetric(c.cpuTotal, CounterValue, cpuTime)
} else {
c.reportError(ch, c.cpuTotal, err)
}
if memInfo, err := getMemory(); err == nil {
ch <- MustNewConstMetric(c.rss, GaugeValue, float64(memInfo.rss))
ch <- MustNewConstMetric(c.vsize, GaugeValue, float64(memInfo.vsize))
} else if !errors.Is(err, notImplementedErr) {
// Don't report an error when support is not compiled in.
c.reportError(ch, c.rss, err)
c.reportError(ch, c.vsize, err)
}
if fds, err := getOpenFileCount(); err == nil {
ch <- MustNewConstMetric(c.openFDs, GaugeValue, fds)
} else {
c.reportError(ch, c.openFDs, err)
}
if openFiles, err := getSoftLimit(syscall.RLIMIT_NOFILE); err == nil {
ch <- MustNewConstMetric(c.maxFDs, GaugeValue, float64(openFiles))
} else {
c.reportError(ch, c.maxFDs, err)
}
if addressSpace, err := getSoftLimit(syscall.RLIMIT_AS); err == nil {
ch <- MustNewConstMetric(c.maxVsize, GaugeValue, float64(addressSpace))
} else {
c.reportError(ch, c.maxVsize, err)
}
// TODO: socket(PF_SYSTEM) to fetch "com.apple.network.statistics" might
// be able to get the per-process network send/receive counts.
}

View File

@@ -0,0 +1,84 @@
// Copyright 2024 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 darwin && !ios && cgo
#include <mach/mach_init.h>
#include <mach/task.h>
#include <mach/mach_vm.h>
// The compiler warns that mach/shared_memory_server.h is deprecated, and to use
// mach/shared_region.h instead. But that doesn't define
// SHARED_DATA_REGION_SIZE or SHARED_TEXT_REGION_SIZE, so redefine them here and
// avoid a warning message when running tests.
#define GLOBAL_SHARED_TEXT_SEGMENT 0x90000000U
#define SHARED_DATA_REGION_SIZE 0x10000000
#define SHARED_TEXT_REGION_SIZE 0x10000000
int get_memory_info(unsigned long long *rss, unsigned long long *vsize)
{
// This is lightly adapted from how ps(1) obtains its memory info.
// https://github.com/apple-oss-distributions/adv_cmds/blob/8744084ea0ff41ca4bb96b0f9c22407d0e48e9b7/ps/tasks.c#L109
kern_return_t error;
task_t task = MACH_PORT_NULL;
mach_task_basic_info_data_t info;
mach_msg_type_number_t info_count = MACH_TASK_BASIC_INFO_COUNT;
error = task_info(
mach_task_self(),
MACH_TASK_BASIC_INFO,
(task_info_t) &info,
&info_count );
if( error != KERN_SUCCESS )
{
return error;
}
*rss = info.resident_size;
*vsize = info.virtual_size;
{
vm_region_basic_info_data_64_t b_info;
mach_vm_address_t address = GLOBAL_SHARED_TEXT_SEGMENT;
mach_vm_size_t size;
mach_port_t object_name;
/*
* try to determine if this task has the split libraries
* mapped in... if so, adjust its virtual size down by
* the 2 segments that are used for split libraries
*/
info_count = VM_REGION_BASIC_INFO_COUNT_64;
error = mach_vm_region(
mach_task_self(),
&address,
&size,
VM_REGION_BASIC_INFO_64,
(vm_region_info_t) &b_info,
&info_count,
&object_name);
if (error == KERN_SUCCESS) {
if (b_info.reserved && size == (SHARED_TEXT_REGION_SIZE) &&
*vsize > (SHARED_TEXT_REGION_SIZE + SHARED_DATA_REGION_SIZE)) {
*vsize -= (SHARED_TEXT_REGION_SIZE + SHARED_DATA_REGION_SIZE);
}
}
}
return 0;
}

View File

@@ -0,0 +1,51 @@
// Copyright 2024 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 darwin && !ios && cgo
package prometheus
/*
int get_memory_info(unsigned long long *rss, unsigned long long *vs);
*/
import "C"
import "fmt"
func getMemory() (*memoryInfo, error) {
var rss, vsize C.ulonglong
if err := C.get_memory_info(&rss, &vsize); err != 0 {
return nil, fmt.Errorf("task_info() failed with 0x%x", int(err))
}
return &memoryInfo{vsize: uint64(vsize), rss: uint64(rss)}, nil
}
// describe returns all descriptions of the collector for Darwin.
// Ensure that this list of descriptors is kept in sync with the metrics collected
// in the processCollect method. Any changes to the metrics in processCollect
// (such as adding or removing metrics) should be reflected in this list of descriptors.
func (c *processCollector) describe(ch chan<- *Desc) {
ch <- c.cpuTotal
ch <- c.openFDs
ch <- c.maxFDs
ch <- c.maxVsize
ch <- c.startTime
ch <- c.rss
ch <- c.vsize
/* the process could be collected but not implemented yet
ch <- c.inBytes
ch <- c.outBytes
*/
}

View File

@@ -0,0 +1,39 @@
// Copyright 2024 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 darwin && !ios && !cgo
package prometheus
func getMemory() (*memoryInfo, error) {
return nil, notImplementedErr
}
// describe returns all descriptions of the collector for Darwin.
// Ensure that this list of descriptors is kept in sync with the metrics collected
// in the processCollect method. Any changes to the metrics in processCollect
// (such as adding or removing metrics) should be reflected in this list of descriptors.
func (c *processCollector) describe(ch chan<- *Desc) {
ch <- c.cpuTotal
ch <- c.openFDs
ch <- c.maxFDs
ch <- c.maxVsize
ch <- c.startTime
/* the process could be collected but not implemented yet
ch <- c.rss
ch <- c.vsize
ch <- c.inBytes
ch <- c.outBytes
*/
}

View File

@@ -1,4 +1,4 @@
// Copyright 2019 The Prometheus Authors
// Copyright 2023 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
@@ -11,8 +11,8 @@
// See the License for the specific language governing permissions and
// limitations under the License.
//go:build js
// +build js
//go:build wasip1 || js || ios
// +build wasip1 js ios
package prometheus
@@ -21,6 +21,13 @@ func canCollectProcess() bool {
}
func (c *processCollector) processCollect(ch chan<- Metric) {
// noop on this platform
return
c.errorCollectFn(ch)
}
// describe returns all descriptions of the collector for wasip1 and js.
// Ensure that this list of descriptors is kept in sync with the metrics collected
// in the processCollect method. Any changes to the metrics in processCollect
// (such as adding or removing metrics) should be reflected in this list of descriptors.
func (c *processCollector) describe(ch chan<- *Desc) {
c.errorDescribeFn(ch)
}

View File

@@ -11,8 +11,8 @@
// See the License for the specific language governing permissions and
// limitations under the License.
//go:build !windows && !js && !wasip1
// +build !windows,!js,!wasip1
//go:build !windows && !js && !wasip1 && !darwin
// +build !windows,!js,!wasip1,!darwin
package prometheus
@@ -63,4 +63,34 @@ func (c *processCollector) processCollect(ch chan<- Metric) {
} else {
c.reportError(ch, nil, err)
}
if netstat, err := p.Netstat(); err == nil {
var inOctets, outOctets float64
if netstat.IpExt.InOctets != nil {
inOctets = *netstat.IpExt.InOctets
}
if netstat.IpExt.OutOctets != nil {
outOctets = *netstat.IpExt.OutOctets
}
ch <- MustNewConstMetric(c.inBytes, CounterValue, inOctets)
ch <- MustNewConstMetric(c.outBytes, CounterValue, outOctets)
} else {
c.reportError(ch, nil, err)
}
}
// describe returns all descriptions of the collector for others than windows, js, wasip1 and darwin.
// Ensure that this list of descriptors is kept in sync with the metrics collected
// in the processCollect method. Any changes to the metrics in processCollect
// (such as adding or removing metrics) should be reflected in this list of descriptors.
func (c *processCollector) describe(ch chan<- *Desc) {
ch <- c.cpuTotal
ch <- c.openFDs
ch <- c.maxFDs
ch <- c.vsize
ch <- c.maxVsize
ch <- c.rss
ch <- c.startTime
ch <- c.inBytes
ch <- c.outBytes
}

View File

@@ -1,26 +0,0 @@
// Copyright 2023 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 wasip1
// +build wasip1
package prometheus
func canCollectProcess() bool {
return false
}
func (*processCollector) processCollect(chan<- Metric) {
// noop on this platform
return
}

View File

@@ -79,14 +79,10 @@ func getProcessHandleCount(handle windows.Handle) (uint32, error) {
}
func (c *processCollector) processCollect(ch chan<- Metric) {
h, err := windows.GetCurrentProcess()
if err != nil {
c.reportError(ch, nil, err)
return
}
h := windows.CurrentProcess()
var startTime, exitTime, kernelTime, userTime windows.Filetime
err = windows.GetProcessTimes(h, &startTime, &exitTime, &kernelTime, &userTime)
err := windows.GetProcessTimes(h, &startTime, &exitTime, &kernelTime, &userTime)
if err != nil {
c.reportError(ch, nil, err)
return
@@ -111,6 +107,19 @@ func (c *processCollector) processCollect(ch chan<- Metric) {
ch <- MustNewConstMetric(c.maxFDs, GaugeValue, float64(16*1024*1024)) // Windows has a hard-coded max limit, not per-process.
}
// describe returns all descriptions of the collector for windows.
// Ensure that this list of descriptors is kept in sync with the metrics collected
// in the processCollect method. Any changes to the metrics in processCollect
// (such as adding or removing metrics) should be reflected in this list of descriptors.
func (c *processCollector) describe(ch chan<- *Desc) {
ch <- c.cpuTotal
ch <- c.openFDs
ch <- c.maxFDs
ch <- c.vsize
ch <- c.rss
ch <- c.startTime
}
func fileTimeToSeconds(ft windows.Filetime) float64 {
return float64(uint64(ft.HighDateTime)<<32+uint64(ft.LowDateTime)) / 1e7
}

View File

@@ -314,16 +314,17 @@ func (r *Registry) Register(c Collector) error {
if dimHash != desc.dimHash {
return fmt.Errorf("a previously registered descriptor with the same fully-qualified name as %s has different label names or a different help string", desc)
}
} else {
// ...then check the new descriptors already seen.
if dimHash, exists := newDimHashesByName[desc.fqName]; exists {
if dimHash != desc.dimHash {
return fmt.Errorf("descriptors reported by collector have inconsistent label names or help strings for the same fully-qualified name, offender is %s", desc)
}
} else {
newDimHashesByName[desc.fqName] = desc.dimHash
}
continue
}
// ...then check the new descriptors already seen.
if dimHash, exists := newDimHashesByName[desc.fqName]; exists {
if dimHash != desc.dimHash {
return fmt.Errorf("descriptors reported by collector have inconsistent label names or help strings for the same fully-qualified name, offender is %s", desc)
}
continue
}
newDimHashesByName[desc.fqName] = desc.dimHash
}
// A Collector yielding no Desc at all is considered unchecked.
if len(newDescIDs) == 0 {

View File

@@ -243,6 +243,7 @@ func newSummary(desc *Desc, opts SummaryOpts, labelValues ...string) Summary {
s := &summary{
desc: desc,
now: opts.now,
objectives: opts.Objectives,
sortedObjectives: make([]float64, 0, len(opts.Objectives)),
@@ -280,6 +281,8 @@ type summary struct {
desc *Desc
now func() time.Time
objectives map[float64]float64
sortedObjectives []float64
@@ -307,7 +310,7 @@ func (s *summary) Observe(v float64) {
s.bufMtx.Lock()
defer s.bufMtx.Unlock()
now := time.Now()
now := s.now()
if now.After(s.hotBufExpTime) {
s.asyncFlush(now)
}
@@ -326,7 +329,7 @@ func (s *summary) Write(out *dto.Metric) error {
s.bufMtx.Lock()
s.mtx.Lock()
// Swap bufs even if hotBuf is empty to set new hotBufExpTime.
s.swapBufs(time.Now())
s.swapBufs(s.now())
s.bufMtx.Unlock()
s.flushColdBuf()
@@ -783,3 +786,45 @@ func MustNewConstSummary(
}
return m
}
// NewConstSummaryWithCreatedTimestamp does the same thing as NewConstSummary but sets the created timestamp.
func NewConstSummaryWithCreatedTimestamp(
desc *Desc,
count uint64,
sum float64,
quantiles map[float64]float64,
ct time.Time,
labelValues ...string,
) (Metric, error) {
if desc.err != nil {
return nil, desc.err
}
if err := validateLabelValues(labelValues, len(desc.variableLabels.names)); err != nil {
return nil, err
}
return &constSummary{
desc: desc,
count: count,
sum: sum,
quantiles: quantiles,
labelPairs: MakeLabelPairs(desc, labelValues),
createdTs: timestamppb.New(ct),
}, nil
}
// MustNewConstSummaryWithCreatedTimestamp is a version of NewConstSummaryWithCreatedTimestamp that panics where
// NewConstSummaryWithCreatedTimestamp would have returned an error.
func MustNewConstSummaryWithCreatedTimestamp(
desc *Desc,
count uint64,
sum float64,
quantiles map[float64]float64,
ct time.Time,
labelValues ...string,
) Metric {
m, err := NewConstSummaryWithCreatedTimestamp(desc, count, sum, quantiles, ct, labelValues...)
if err != nil {
panic(err)
}
return m
}

View File

@@ -507,7 +507,7 @@ func (m *metricMap) getOrCreateMetricWithLabelValues(
return metric
}
// getOrCreateMetricWithLabelValues retrieves the metric by hash and label value
// getOrCreateMetricWithLabels retrieves the metric by hash and label value
// or creates it and returns the new one.
//
// This function holds the mutex.