forked from mirror/client_golang
Make the Go 1.17 collector thread-safe (#969)
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08a53e57a2
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@ -118,3 +118,11 @@ func (c *selfCollector) Describe(ch chan<- *Desc) {
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func (c *selfCollector) Collect(ch chan<- Metric) {
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func (c *selfCollector) Collect(ch chan<- Metric) {
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ch <- c.self
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ch <- c.self
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}
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}
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// collectorMetric is a metric that is also a collector.
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// Because of selfCollector, most (if not all) Metrics in
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// this package are also collectors.
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type collectorMetric interface {
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Metric
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Collector
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}
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@ -32,9 +32,10 @@ type goCollector struct {
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base baseGoCollector
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base baseGoCollector
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// rm... fields all pertain to the runtime/metrics package.
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// rm... fields all pertain to the runtime/metrics package.
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rmSampleMu sync.Mutex
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rmSampleBuf []metrics.Sample
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rmSampleBuf []metrics.Sample
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rmSampleMap map[string]*metrics.Sample
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rmSampleMap map[string]*metrics.Sample
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rmMetrics []Metric
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rmMetrics []collectorMetric
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// With Go 1.17, the runtime/metrics package was introduced.
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// With Go 1.17, the runtime/metrics package was introduced.
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// From that point on, metric names produced by the runtime/metrics
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// From that point on, metric names produced by the runtime/metrics
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@ -58,7 +59,7 @@ func NewGoCollector() Collector {
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}
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}
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// Generate a Desc and ValueType for each runtime/metrics metric.
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// Generate a Desc and ValueType for each runtime/metrics metric.
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metricSet := make([]Metric, 0, len(descriptions))
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metricSet := make([]collectorMetric, 0, len(descriptions))
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sampleBuf := make([]metrics.Sample, 0, len(descriptions))
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sampleBuf := make([]metrics.Sample, 0, len(descriptions))
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sampleMap := make(map[string]*metrics.Sample, len(descriptions))
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sampleMap := make(map[string]*metrics.Sample, len(descriptions))
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for i := range descriptions {
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for i := range descriptions {
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@ -76,7 +77,7 @@ func NewGoCollector() Collector {
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sampleBuf = append(sampleBuf, metrics.Sample{Name: d.Name})
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sampleBuf = append(sampleBuf, metrics.Sample{Name: d.Name})
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sampleMap[d.Name] = &sampleBuf[len(sampleBuf)-1]
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sampleMap[d.Name] = &sampleBuf[len(sampleBuf)-1]
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var m Metric
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var m collectorMetric
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if d.Kind == metrics.KindFloat64Histogram {
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if d.Kind == metrics.KindFloat64Histogram {
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_, hasSum := rmExactSumMap[d.Name]
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_, hasSum := rmExactSumMap[d.Name]
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m = newBatchHistogram(
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m = newBatchHistogram(
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@ -130,9 +131,19 @@ func (c *goCollector) Collect(ch chan<- Metric) {
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// Collect base non-memory metrics.
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// Collect base non-memory metrics.
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c.base.Collect(ch)
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c.base.Collect(ch)
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// Collect must be thread-safe, so prevent concurrent use of
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// rmSampleBuf. Just read into rmSampleBuf but write all the data
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// we get into our Metrics or MemStats.
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//
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// Note that we cannot simply read and then clone rmSampleBuf
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// because we'd need to perform a deep clone of it, which is likely
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// not worth it.
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c.rmSampleMu.Lock()
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// Populate runtime/metrics sample buffer.
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// Populate runtime/metrics sample buffer.
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metrics.Read(c.rmSampleBuf)
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metrics.Read(c.rmSampleBuf)
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// Update all our metrics from rmSampleBuf.
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for i, sample := range c.rmSampleBuf {
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for i, sample := range c.rmSampleBuf {
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// N.B. switch on concrete type because it's significantly more efficient
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// N.B. switch on concrete type because it's significantly more efficient
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// than checking for the Counter and Gauge interface implementations. In
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// than checking for the Counter and Gauge interface implementations. In
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@ -146,22 +157,29 @@ func (c *goCollector) Collect(ch chan<- Metric) {
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if v1 > v0 {
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if v1 > v0 {
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m.Add(unwrapScalarRMValue(sample.Value) - m.get())
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m.Add(unwrapScalarRMValue(sample.Value) - m.get())
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}
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}
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m.Collect(ch)
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case *gauge:
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case *gauge:
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m.Set(unwrapScalarRMValue(sample.Value))
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m.Set(unwrapScalarRMValue(sample.Value))
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m.Collect(ch)
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case *batchHistogram:
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case *batchHistogram:
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m.update(sample.Value.Float64Histogram(), c.exactSumFor(sample.Name))
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m.update(sample.Value.Float64Histogram(), c.exactSumFor(sample.Name))
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m.Collect(ch)
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default:
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default:
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panic("unexpected metric type")
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panic("unexpected metric type")
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}
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}
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}
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}
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// ms is a dummy MemStats that we populate ourselves so that we can
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// ms is a dummy MemStats that we populate ourselves so that we can
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// populate the old metrics from it.
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// populate the old metrics from it.
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var ms runtime.MemStats
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var ms runtime.MemStats
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memStatsFromRM(&ms, c.rmSampleMap)
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memStatsFromRM(&ms, c.rmSampleMap)
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c.rmSampleMu.Unlock()
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// Export all the metrics to ch.
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// At this point we must not access rmSampleBuf or rmSampleMap, because
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// a concurrent caller could use it. It's safe to Collect all our Metrics,
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// however, because they're updated in a thread-safe way while MemStats
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// is local to this call of Collect.
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for _, m := range c.rmMetrics {
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m.Collect(ch)
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}
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for _, i := range c.msMetrics {
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for _, i := range c.msMetrics {
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ch <- MustNewConstMetric(i.desc, i.valType, i.eval(&ms))
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ch <- MustNewConstMetric(i.desc, i.valType, i.eval(&ms))
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}
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}
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@ -280,3 +280,25 @@ func TestExpectedRuntimeMetrics(t *testing.T) {
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t.Log("where X is the Go version you are currently using")
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t.Log("where X is the Go version you are currently using")
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}
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}
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}
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}
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func TestGoCollectorConcurrency(t *testing.T) {
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c := NewGoCollector().(*goCollector)
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// Set up multiple goroutines to Collect from the
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// same GoCollector. In race mode with GOMAXPROCS > 1,
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// this test should fail often if Collect is not
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// concurrent-safe.
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for i := 0; i < 4; i++ {
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go func() {
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ch := make(chan Metric)
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go func() {
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// Drain all metrics recieved until the
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// channel is closed.
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for range ch {
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}
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}()
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c.Collect(ch)
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close(ch)
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}()
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}
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}
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