1 files changed, 96 insertions, 0 deletions
diff --git a/src/runtime/metrics/example_test.go b/src/runtime/metrics/example_test.go
new file mode 100644
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--- /dev/null
+++ b/src/runtime/metrics/example_test.go
@@ -0,0 +1,96 @@
+// Copyright 2020 The Go Authors. All rights reserved.
+// Use of this source code is governed by a BSD-style
+// license that can be found in the LICENSE file.
+
+package metrics_test
+
+import (
+	"fmt"
+	"runtime/metrics"
+)
+
+func ExampleRead_readingOneMetric() {
+	// Name of the metric we want to read.
+	const myMetric = "/memory/classes/heap/free:bytes"
+
+	// Create a sample for the metric.
+	sample := make([]metrics.Sample, 1)
+	sample[0].Name = myMetric
+
+	// Sample the metric.
+	metrics.Read(sample)
+
+	// Check if the metric is actually supported.
+	// If it's not, the resulting value will always have
+	// kind KindBad.
+	if sample[0].Value.Kind() == metrics.KindBad {
+		panic(fmt.Sprintf("metric %q no longer supported", myMetric))
+	}
+
+	// Handle the result.
+	//
+	// It's OK to assume a particular Kind for a metric;
+	// they're guaranteed not to change.
+	freeBytes := sample[0].Value.Uint64()
+
+	fmt.Printf("free but not released memory: %d\n", freeBytes)
+}
+
+func ExampleRead_readingAllMetrics() {
+	// Get descriptions for all supported metrics.
+	descs := metrics.All()
+
+	// Create a sample for each metric.
+	samples := make([]metrics.Sample, len(descs))
+	for i := range samples {
+		samples[i].Name = descs[i].Name
+	}
+
+	// Sample the metrics. Re-use the samples slice if you can!
+	metrics.Read(samples)
+
+	// Iterate over all results.
+	for _, sample := range samples {
+		// Pull out the name and value.
+		name, value := sample.Name, sample.Value
+
+		// Handle each sample.
+		switch value.Kind() {
+		case metrics.KindUint64:
+			fmt.Printf("%s: %d\n", name, value.Uint64())
+		case metrics.KindFloat64:
+			fmt.Printf("%s: %f\n", name, value.Float64())
+		case metrics.KindFloat64Histogram:
+			// The histogram may be quite large, so let's just pull out
+			// a crude estimate for the median for the sake of this example.
+			fmt.Printf("%s: %f\n", name, medianBucket(value.Float64Histogram()))
+		case metrics.KindBad:
+			// This should never happen because all metrics are supported
+			// by construction.
+			panic("bug in runtime/metrics package!")
+		default:
+			// This may happen as new metrics get added.
+			//
+			// The safest thing to do here is to simply log it somewhere
+			// as something to look into, but ignore it for now.
+			// In the worst case, you might temporarily miss out on a new metric.
+			fmt.Printf("%s: unexpected metric Kind: %v\n", name, value.Kind())
+		}
+	}
+}
+
+func medianBucket(h *metrics.Float64Histogram) float64 {
+	total := uint64(0)
+	for _, count := range h.Counts {
+		total += count
+	}
+	thresh := total / 2
+	total = 0
+	for i, count := range h.Counts {
+		total += count
+		if total >= thresh {
+			return h.Buckets[i]
+		}
+	}
+	panic("should not happen")
+}