client_golang/prometheus/go_collector.go

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// Copyright 2018 The Prometheus Authors
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package prometheus
import (
"runtime"
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"runtime/debug"
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"time"
)
// 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.
Use the runtime/metrics package for the Go collector for 1.17+ (#955) This change introduces use of the runtime/metrics package in place of runtime.MemStats for Go 1.17 or later. The runtime/metrics package was introduced in Go 1.16, but not all the old metrics were accounted for until 1.17. The runtime/metrics package offers several advantages over using runtime.MemStats: * The list of metrics and their descriptions are machine-readable, allowing new metrics to get added without any additional work. * Detailed histogram-based metrics are now available, offering much deeper insights into the Go runtime. * The runtime/metrics API is significantly more efficient than runtime.MemStats, even with the additional metrics added, because it does not require any stop-the-world events. That being said, integrating the package comes with some caveats, some of which were discussed in #842. Namely: * The old MemStats-based metrics need to continue working, so they're exported under their old names backed by equivalent runtime/metrics metrics. * Earlier versions of Go need to continue working, so the old code remains, but behind a build tag. Finally, a few notes about the implementation: * This change includes a whole bunch of refactoring to avoid significant code duplication. * This change adds a new histogram metric type specifically optimized for runtime/metrics histograms. This type's methods also include additional logic to deal with differences in bounds conventions. * This change makes a whole bunch of decisions about how runtime/metrics names are translated. * This change adds a `go generate` script to generate a list of expected runtime/metrics names for a given Go version for auditing. Users of new versions of Go will transparently be allowed to use new metrics, however. Signed-off-by: Michael Anthony Knyszek <mknyszek@google.com>
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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,
},
}
}
type baseGoCollector struct {
goroutinesDesc *Desc
threadsDesc *Desc
gcDesc *Desc
Use the runtime/metrics package for the Go collector for 1.17+ (#955) This change introduces use of the runtime/metrics package in place of runtime.MemStats for Go 1.17 or later. The runtime/metrics package was introduced in Go 1.16, but not all the old metrics were accounted for until 1.17. The runtime/metrics package offers several advantages over using runtime.MemStats: * The list of metrics and their descriptions are machine-readable, allowing new metrics to get added without any additional work. * Detailed histogram-based metrics are now available, offering much deeper insights into the Go runtime. * The runtime/metrics API is significantly more efficient than runtime.MemStats, even with the additional metrics added, because it does not require any stop-the-world events. That being said, integrating the package comes with some caveats, some of which were discussed in #842. Namely: * The old MemStats-based metrics need to continue working, so they're exported under their old names backed by equivalent runtime/metrics metrics. * Earlier versions of Go need to continue working, so the old code remains, but behind a build tag. Finally, a few notes about the implementation: * This change includes a whole bunch of refactoring to avoid significant code duplication. * This change adds a new histogram metric type specifically optimized for runtime/metrics histograms. This type's methods also include additional logic to deal with differences in bounds conventions. * This change makes a whole bunch of decisions about how runtime/metrics names are translated. * This change adds a `go generate` script to generate a list of expected runtime/metrics names for a given Go version for auditing. Users of new versions of Go will transparently be allowed to use new metrics, however. Signed-off-by: Michael Anthony Knyszek <mknyszek@google.com>
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gcLastTimeDesc *Desc
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goInfoDesc *Desc
}
Use the runtime/metrics package for the Go collector for 1.17+ (#955) This change introduces use of the runtime/metrics package in place of runtime.MemStats for Go 1.17 or later. The runtime/metrics package was introduced in Go 1.16, but not all the old metrics were accounted for until 1.17. The runtime/metrics package offers several advantages over using runtime.MemStats: * The list of metrics and their descriptions are machine-readable, allowing new metrics to get added without any additional work. * Detailed histogram-based metrics are now available, offering much deeper insights into the Go runtime. * The runtime/metrics API is significantly more efficient than runtime.MemStats, even with the additional metrics added, because it does not require any stop-the-world events. That being said, integrating the package comes with some caveats, some of which were discussed in #842. Namely: * The old MemStats-based metrics need to continue working, so they're exported under their old names backed by equivalent runtime/metrics metrics. * Earlier versions of Go need to continue working, so the old code remains, but behind a build tag. Finally, a few notes about the implementation: * This change includes a whole bunch of refactoring to avoid significant code duplication. * This change adds a new histogram metric type specifically optimized for runtime/metrics histograms. This type's methods also include additional logic to deal with differences in bounds conventions. * This change makes a whole bunch of decisions about how runtime/metrics names are translated. * This change adds a `go generate` script to generate a list of expected runtime/metrics names for a given Go version for auditing. Users of new versions of Go will transparently be allowed to use new metrics, however. Signed-off-by: Michael Anthony Knyszek <mknyszek@google.com>
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func newBaseGoCollector() baseGoCollector {
return baseGoCollector{
goroutinesDesc: NewDesc(
"go_goroutines",
"Number of goroutines that currently exist.",
nil, nil),
threadsDesc: NewDesc(
"go_threads",
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"Number of OS threads created.",
nil, nil),
gcDesc: NewDesc(
"go_gc_duration_seconds",
"A summary of the pause duration of garbage collection cycles.",
nil, nil),
Use the runtime/metrics package for the Go collector for 1.17+ (#955) This change introduces use of the runtime/metrics package in place of runtime.MemStats for Go 1.17 or later. The runtime/metrics package was introduced in Go 1.16, but not all the old metrics were accounted for until 1.17. The runtime/metrics package offers several advantages over using runtime.MemStats: * The list of metrics and their descriptions are machine-readable, allowing new metrics to get added without any additional work. * Detailed histogram-based metrics are now available, offering much deeper insights into the Go runtime. * The runtime/metrics API is significantly more efficient than runtime.MemStats, even with the additional metrics added, because it does not require any stop-the-world events. That being said, integrating the package comes with some caveats, some of which were discussed in #842. Namely: * The old MemStats-based metrics need to continue working, so they're exported under their old names backed by equivalent runtime/metrics metrics. * Earlier versions of Go need to continue working, so the old code remains, but behind a build tag. Finally, a few notes about the implementation: * This change includes a whole bunch of refactoring to avoid significant code duplication. * This change adds a new histogram metric type specifically optimized for runtime/metrics histograms. This type's methods also include additional logic to deal with differences in bounds conventions. * This change makes a whole bunch of decisions about how runtime/metrics names are translated. * This change adds a `go generate` script to generate a list of expected runtime/metrics names for a given Go version for auditing. Users of new versions of Go will transparently be allowed to use new metrics, however. Signed-off-by: Michael Anthony Knyszek <mknyszek@google.com>
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gcLastTimeDesc: NewDesc(
"go_memstats_last_gc_time_seconds",
Use the runtime/metrics package for the Go collector for 1.17+ (#955) This change introduces use of the runtime/metrics package in place of runtime.MemStats for Go 1.17 or later. The runtime/metrics package was introduced in Go 1.16, but not all the old metrics were accounted for until 1.17. The runtime/metrics package offers several advantages over using runtime.MemStats: * The list of metrics and their descriptions are machine-readable, allowing new metrics to get added without any additional work. * Detailed histogram-based metrics are now available, offering much deeper insights into the Go runtime. * The runtime/metrics API is significantly more efficient than runtime.MemStats, even with the additional metrics added, because it does not require any stop-the-world events. That being said, integrating the package comes with some caveats, some of which were discussed in #842. Namely: * The old MemStats-based metrics need to continue working, so they're exported under their old names backed by equivalent runtime/metrics metrics. * Earlier versions of Go need to continue working, so the old code remains, but behind a build tag. Finally, a few notes about the implementation: * This change includes a whole bunch of refactoring to avoid significant code duplication. * This change adds a new histogram metric type specifically optimized for runtime/metrics histograms. This type's methods also include additional logic to deal with differences in bounds conventions. * This change makes a whole bunch of decisions about how runtime/metrics names are translated. * This change adds a `go generate` script to generate a list of expected runtime/metrics names for a given Go version for auditing. Users of new versions of Go will transparently be allowed to use new metrics, however. Signed-off-by: Michael Anthony Knyszek <mknyszek@google.com>
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"Number of seconds since 1970 of last garbage collection.",
nil, nil),
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goInfoDesc: NewDesc(
"go_info",
"Information about the Go environment.",
nil, Labels{"version": runtime.Version()}),
}
}
// Describe returns all descriptions of the collector.
Use the runtime/metrics package for the Go collector for 1.17+ (#955) This change introduces use of the runtime/metrics package in place of runtime.MemStats for Go 1.17 or later. The runtime/metrics package was introduced in Go 1.16, but not all the old metrics were accounted for until 1.17. The runtime/metrics package offers several advantages over using runtime.MemStats: * The list of metrics and their descriptions are machine-readable, allowing new metrics to get added without any additional work. * Detailed histogram-based metrics are now available, offering much deeper insights into the Go runtime. * The runtime/metrics API is significantly more efficient than runtime.MemStats, even with the additional metrics added, because it does not require any stop-the-world events. That being said, integrating the package comes with some caveats, some of which were discussed in #842. Namely: * The old MemStats-based metrics need to continue working, so they're exported under their old names backed by equivalent runtime/metrics metrics. * Earlier versions of Go need to continue working, so the old code remains, but behind a build tag. Finally, a few notes about the implementation: * This change includes a whole bunch of refactoring to avoid significant code duplication. * This change adds a new histogram metric type specifically optimized for runtime/metrics histograms. This type's methods also include additional logic to deal with differences in bounds conventions. * This change makes a whole bunch of decisions about how runtime/metrics names are translated. * This change adds a `go generate` script to generate a list of expected runtime/metrics names for a given Go version for auditing. Users of new versions of Go will transparently be allowed to use new metrics, however. Signed-off-by: Michael Anthony Knyszek <mknyszek@google.com>
2022-01-16 19:41:56 +03:00
func (c *baseGoCollector) Describe(ch chan<- *Desc) {
ch <- c.goroutinesDesc
ch <- c.threadsDesc
ch <- c.gcDesc
Use the runtime/metrics package for the Go collector for 1.17+ (#955) This change introduces use of the runtime/metrics package in place of runtime.MemStats for Go 1.17 or later. The runtime/metrics package was introduced in Go 1.16, but not all the old metrics were accounted for until 1.17. The runtime/metrics package offers several advantages over using runtime.MemStats: * The list of metrics and their descriptions are machine-readable, allowing new metrics to get added without any additional work. * Detailed histogram-based metrics are now available, offering much deeper insights into the Go runtime. * The runtime/metrics API is significantly more efficient than runtime.MemStats, even with the additional metrics added, because it does not require any stop-the-world events. That being said, integrating the package comes with some caveats, some of which were discussed in #842. Namely: * The old MemStats-based metrics need to continue working, so they're exported under their old names backed by equivalent runtime/metrics metrics. * Earlier versions of Go need to continue working, so the old code remains, but behind a build tag. Finally, a few notes about the implementation: * This change includes a whole bunch of refactoring to avoid significant code duplication. * This change adds a new histogram metric type specifically optimized for runtime/metrics histograms. This type's methods also include additional logic to deal with differences in bounds conventions. * This change makes a whole bunch of decisions about how runtime/metrics names are translated. * This change adds a `go generate` script to generate a list of expected runtime/metrics names for a given Go version for auditing. Users of new versions of Go will transparently be allowed to use new metrics, however. Signed-off-by: Michael Anthony Knyszek <mknyszek@google.com>
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ch <- c.gcLastTimeDesc
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ch <- c.goInfoDesc
}
// Collect returns the current state of all metrics of the collector.
Use the runtime/metrics package for the Go collector for 1.17+ (#955) This change introduces use of the runtime/metrics package in place of runtime.MemStats for Go 1.17 or later. The runtime/metrics package was introduced in Go 1.16, but not all the old metrics were accounted for until 1.17. The runtime/metrics package offers several advantages over using runtime.MemStats: * The list of metrics and their descriptions are machine-readable, allowing new metrics to get added without any additional work. * Detailed histogram-based metrics are now available, offering much deeper insights into the Go runtime. * The runtime/metrics API is significantly more efficient than runtime.MemStats, even with the additional metrics added, because it does not require any stop-the-world events. That being said, integrating the package comes with some caveats, some of which were discussed in #842. Namely: * The old MemStats-based metrics need to continue working, so they're exported under their old names backed by equivalent runtime/metrics metrics. * Earlier versions of Go need to continue working, so the old code remains, but behind a build tag. Finally, a few notes about the implementation: * This change includes a whole bunch of refactoring to avoid significant code duplication. * This change adds a new histogram metric type specifically optimized for runtime/metrics histograms. This type's methods also include additional logic to deal with differences in bounds conventions. * This change makes a whole bunch of decisions about how runtime/metrics names are translated. * This change adds a `go generate` script to generate a list of expected runtime/metrics names for a given Go version for auditing. Users of new versions of Go will transparently be allowed to use new metrics, however. Signed-off-by: Michael Anthony Knyszek <mknyszek@google.com>
2022-01-16 19:41:56 +03:00
func (c *baseGoCollector) Collect(ch chan<- Metric) {
ch <- MustNewConstMetric(c.goroutinesDesc, GaugeValue, float64(runtime.NumGoroutine()))
n := getRuntimeNumThreads()
ch <- MustNewConstMetric(c.threadsDesc, GaugeValue, n)
var stats debug.GCStats
stats.PauseQuantiles = make([]time.Duration, 5)
debug.ReadGCStats(&stats)
quantiles := make(map[float64]float64)
for idx, pq := range stats.PauseQuantiles[1:] {
quantiles[float64(idx+1)/float64(len(stats.PauseQuantiles)-1)] = pq.Seconds()
}
quantiles[0.0] = stats.PauseQuantiles[0].Seconds()
ch <- MustNewConstSummary(c.gcDesc, uint64(stats.NumGC), stats.PauseTotal.Seconds(), quantiles)
Use the runtime/metrics package for the Go collector for 1.17+ (#955) This change introduces use of the runtime/metrics package in place of runtime.MemStats for Go 1.17 or later. The runtime/metrics package was introduced in Go 1.16, but not all the old metrics were accounted for until 1.17. The runtime/metrics package offers several advantages over using runtime.MemStats: * The list of metrics and their descriptions are machine-readable, allowing new metrics to get added without any additional work. * Detailed histogram-based metrics are now available, offering much deeper insights into the Go runtime. * The runtime/metrics API is significantly more efficient than runtime.MemStats, even with the additional metrics added, because it does not require any stop-the-world events. That being said, integrating the package comes with some caveats, some of which were discussed in #842. Namely: * The old MemStats-based metrics need to continue working, so they're exported under their old names backed by equivalent runtime/metrics metrics. * Earlier versions of Go need to continue working, so the old code remains, but behind a build tag. Finally, a few notes about the implementation: * This change includes a whole bunch of refactoring to avoid significant code duplication. * This change adds a new histogram metric type specifically optimized for runtime/metrics histograms. This type's methods also include additional logic to deal with differences in bounds conventions. * This change makes a whole bunch of decisions about how runtime/metrics names are translated. * This change adds a `go generate` script to generate a list of expected runtime/metrics names for a given Go version for auditing. Users of new versions of Go will transparently be allowed to use new metrics, however. Signed-off-by: Michael Anthony Knyszek <mknyszek@google.com>
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ch <- MustNewConstMetric(c.gcLastTimeDesc, GaugeValue, float64(stats.LastGC.UnixNano())/1e9)
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ch <- MustNewConstMetric(c.goInfoDesc, GaugeValue, 1)
}
Use the runtime/metrics package for the Go collector for 1.17+ (#955) This change introduces use of the runtime/metrics package in place of runtime.MemStats for Go 1.17 or later. The runtime/metrics package was introduced in Go 1.16, but not all the old metrics were accounted for until 1.17. The runtime/metrics package offers several advantages over using runtime.MemStats: * The list of metrics and their descriptions are machine-readable, allowing new metrics to get added without any additional work. * Detailed histogram-based metrics are now available, offering much deeper insights into the Go runtime. * The runtime/metrics API is significantly more efficient than runtime.MemStats, even with the additional metrics added, because it does not require any stop-the-world events. That being said, integrating the package comes with some caveats, some of which were discussed in #842. Namely: * The old MemStats-based metrics need to continue working, so they're exported under their old names backed by equivalent runtime/metrics metrics. * Earlier versions of Go need to continue working, so the old code remains, but behind a build tag. Finally, a few notes about the implementation: * This change includes a whole bunch of refactoring to avoid significant code duplication. * This change adds a new histogram metric type specifically optimized for runtime/metrics histograms. This type's methods also include additional logic to deal with differences in bounds conventions. * This change makes a whole bunch of decisions about how runtime/metrics names are translated. * This change adds a `go generate` script to generate a list of expected runtime/metrics names for a given Go version for auditing. Users of new versions of Go will transparently be allowed to use new metrics, however. Signed-off-by: Michael Anthony Knyszek <mknyszek@google.com>
2022-01-16 19:41:56 +03:00
func memstatNamespace(s string) string {
return "go_memstats_" + s
}
Use the runtime/metrics package for the Go collector for 1.17+ (#955) This change introduces use of the runtime/metrics package in place of runtime.MemStats for Go 1.17 or later. The runtime/metrics package was introduced in Go 1.16, but not all the old metrics were accounted for until 1.17. The runtime/metrics package offers several advantages over using runtime.MemStats: * The list of metrics and their descriptions are machine-readable, allowing new metrics to get added without any additional work. * Detailed histogram-based metrics are now available, offering much deeper insights into the Go runtime. * The runtime/metrics API is significantly more efficient than runtime.MemStats, even with the additional metrics added, because it does not require any stop-the-world events. That being said, integrating the package comes with some caveats, some of which were discussed in #842. Namely: * The old MemStats-based metrics need to continue working, so they're exported under their old names backed by equivalent runtime/metrics metrics. * Earlier versions of Go need to continue working, so the old code remains, but behind a build tag. Finally, a few notes about the implementation: * This change includes a whole bunch of refactoring to avoid significant code duplication. * This change adds a new histogram metric type specifically optimized for runtime/metrics histograms. This type's methods also include additional logic to deal with differences in bounds conventions. * This change makes a whole bunch of decisions about how runtime/metrics names are translated. * This change adds a `go generate` script to generate a list of expected runtime/metrics names for a given Go version for auditing. Users of new versions of Go will transparently be allowed to use new metrics, however. Signed-off-by: Michael Anthony Knyszek <mknyszek@google.com>
2022-01-16 19:41:56 +03:00
// 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
}