// Copyright The OpenTelemetry Authors // SPDX-License-Identifier: Apache-2.0 package metric_test import ( "context" "database/sql" "fmt" "math/rand" "net/http" "runtime" "time" "go.opentelemetry.io/otel" "go.opentelemetry.io/otel/attribute" "go.opentelemetry.io/otel/metric" semconv "go.opentelemetry.io/otel/semconv/v1.26.0" ) var meter = otel.Meter("my-service-meter") func ExampleMeter_synchronous() { // Create a histogram using the global MeterProvider. workDuration, err := meter.Int64Histogram( "workDuration", metric.WithUnit("ms")) if err != nil { fmt.Println("Failed to register instrument") panic(err) } startTime := time.Now() ctx := context.Background() // Do work // ... workDuration.Record(ctx, time.Since(startTime).Milliseconds()) } func ExampleMeter_asynchronous_single() { _, err := meter.Int64ObservableGauge( "DiskUsage", metric.WithUnit("By"), metric.WithInt64Callback(func(_ context.Context, obsrv metric.Int64Observer) error { // Do the real work here to get the real disk usage. For example, // // usage, err := GetDiskUsage(diskID) // if err != nil { // if retryable(err) { // // Retry the usage measurement. // } else { // return err // } // } // // For demonstration purpose, a static value is used here. usage := 75000 obsrv.Observe(int64(usage), metric.WithAttributes(attribute.Int("disk.id", 3))) return nil }), ) if err != nil { fmt.Println("failed to register instrument") panic(err) } } func ExampleMeter_asynchronous_multiple() { // This is just a sample of memory stats to record from the Memstats heapAlloc, err := meter.Int64ObservableUpDownCounter("heapAllocs") if err != nil { fmt.Println("failed to register updown counter for heapAllocs") panic(err) } gcCount, err := meter.Int64ObservableCounter("gcCount") if err != nil { fmt.Println("failed to register counter for gcCount") panic(err) } _, err = meter.RegisterCallback( func(_ context.Context, o metric.Observer) error { memStats := &runtime.MemStats{} // This call does work runtime.ReadMemStats(memStats) o.ObserveInt64(heapAlloc, int64(memStats.HeapAlloc)) o.ObserveInt64(gcCount, int64(memStats.NumGC)) return nil }, heapAlloc, gcCount, ) if err != nil { fmt.Println("Failed to register callback") panic(err) } } // Counters can be used to measure a non-negative, increasing value. // // Here's how you might report the number of calls for an HTTP handler. func ExampleMeter_counter() { apiCounter, err := meter.Int64Counter( "api.counter", metric.WithDescription("Number of API calls."), metric.WithUnit("{call}"), ) if err != nil { panic(err) } http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) { apiCounter.Add(r.Context(), 1) // do some work in an API call }) } // UpDown counters can increment and decrement, allowing you to observe // a cumulative value that goes up or down. // // Here's how you might report the number of items of some collection. func ExampleMeter_upDownCounter() { var err error itemsCounter, err := meter.Int64UpDownCounter( "items.counter", metric.WithDescription("Number of items."), metric.WithUnit("{item}"), ) if err != nil { panic(err) } _ = func() { // code that adds an item to the collection itemsCounter.Add(context.Background(), 1) } _ = func() { // code that removes an item from the collection itemsCounter.Add(context.Background(), -1) } } // Gauges can be used to record non-additive values when changes occur. // // Here's how you might report the current speed of a cpu fan. func ExampleMeter_gauge() { speedGauge, err := meter.Int64Gauge( "cpu.fan.speed", metric.WithDescription("Speed of CPU fan"), metric.WithUnit("RPM"), ) if err != nil { panic(err) } getCPUFanSpeed := func() int64 { // Generates a random fan speed for demonstration purpose. // In real world applications, replace this to get the actual fan speed. return int64(1500 + rand.Intn(1000)) } fanSpeedSubscription := make(chan int64, 1) go func() { defer close(fanSpeedSubscription) for idx := 0; idx < 5; idx++ { // Synchronous gauges are used when the measurement cycle is // synchronous to an external change. // Simulate that external cycle here. time.Sleep(time.Duration(rand.Intn(3)) * time.Second) fanSpeed := getCPUFanSpeed() fanSpeedSubscription <- fanSpeed } }() ctx := context.Background() for fanSpeed := range fanSpeedSubscription { speedGauge.Record(ctx, fanSpeed) } } // Histograms are used to measure a distribution of values over time. // // Here's how you might report a distribution of response times for an HTTP handler. func ExampleMeter_histogram() { histogram, err := meter.Float64Histogram( "task.duration", metric.WithDescription("The duration of task execution."), metric.WithUnit("s"), metric.WithExplicitBucketBoundaries(.005, .01, .025, .05, .075, .1, .25, .5, .75, 1, 2.5, 5, 7.5, 10), ) if err != nil { panic(err) } http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) { start := time.Now() // do some work in an API call duration := time.Since(start) histogram.Record(r.Context(), duration.Seconds()) }) } // Observable counters can be used to measure an additive, non-negative, // monotonically increasing value. // // Here's how you might report time since the application started. func ExampleMeter_observableCounter() { start := time.Now() if _, err := meter.Float64ObservableCounter( "uptime", metric.WithDescription("The duration since the application started."), metric.WithUnit("s"), metric.WithFloat64Callback(func(_ context.Context, o metric.Float64Observer) error { o.Observe(float64(time.Since(start).Seconds())) return nil }), ); err != nil { panic(err) } } // Observable UpDown counters can increment and decrement, allowing you to measure // an additive, non-negative, non-monotonically increasing cumulative value. // // Here's how you might report some database metrics. func ExampleMeter_observableUpDownCounter() { // The function registers asynchronous metrics for the provided db. // Make sure to unregister metric.Registration before closing the provided db. _ = func(db *sql.DB, meter metric.Meter, poolName string) (metric.Registration, error) { max, err := meter.Int64ObservableUpDownCounter( "db.client.connections.max", metric.WithDescription("The maximum number of open connections allowed."), metric.WithUnit("{connection}"), ) if err != nil { return nil, err } waitTime, err := meter.Int64ObservableUpDownCounter( "db.client.connections.wait_time", metric.WithDescription("The time it took to obtain an open connection from the pool."), metric.WithUnit("ms"), ) if err != nil { return nil, err } reg, err := meter.RegisterCallback( func(_ context.Context, o metric.Observer) error { stats := db.Stats() o.ObserveInt64(max, int64(stats.MaxOpenConnections)) o.ObserveInt64(waitTime, int64(stats.WaitDuration)) return nil }, max, waitTime, ) if err != nil { return nil, err } return reg, nil } } // Observable Gauges should be used to measure non-additive values. // // Here's how you might report memory usage of the heap objects used // in application. func ExampleMeter_observableGauge() { if _, err := meter.Int64ObservableGauge( "memory.heap", metric.WithDescription( "Memory usage of the allocated heap objects.", ), metric.WithUnit("By"), metric.WithInt64Callback(func(_ context.Context, o metric.Int64Observer) error { var m runtime.MemStats runtime.ReadMemStats(&m) o.Observe(int64(m.HeapAlloc)) return nil }), ); err != nil { panic(err) } } // You can add Attributes by using the [WithAttributeSet] and [WithAttributes] options. // // Here's how you might add the HTTP status code attribute to your recordings. func ExampleMeter_attributes() { apiCounter, err := meter.Int64UpDownCounter( "api.finished.counter", metric.WithDescription("Number of finished API calls."), metric.WithUnit("{call}"), ) if err != nil { panic(err) } http.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) { // do some work in an API call and set the response HTTP status code statusCode := http.StatusOK apiCounter.Add(r.Context(), 1, metric.WithAttributes(semconv.HTTPResponseStatusCode(statusCode))) }) }