// Copyright The OpenTelemetry 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 metric // import "go.opentelemetry.io/otel/sdk/metric" import ( "context" "errors" "fmt" "go.opentelemetry.io/otel/internal/global" "go.opentelemetry.io/otel/metric" "go.opentelemetry.io/otel/metric/embedded" "go.opentelemetry.io/otel/sdk/instrumentation" "go.opentelemetry.io/otel/sdk/metric/internal/aggregate" ) // ErrInstrumentName indicates the created instrument has an invalid name. // Valid names must consist of 255 or fewer characters including alphanumeric, _, ., -, / and start with a letter. var ErrInstrumentName = errors.New("invalid instrument name") // meter handles the creation and coordination of all metric instruments. A // meter represents a single instrumentation scope; all metric telemetry // produced by an instrumentation scope will use metric instruments from a // single meter. type meter struct { embedded.Meter scope instrumentation.Scope pipes pipelines int64Insts *cacheWithErr[instID, *int64Inst] float64Insts *cacheWithErr[instID, *float64Inst] int64ObservableInsts *cacheWithErr[instID, int64Observable] float64ObservableInsts *cacheWithErr[instID, float64Observable] int64Resolver resolver[int64] float64Resolver resolver[float64] } func newMeter(s instrumentation.Scope, p pipelines) *meter { // viewCache ensures instrument conflicts, including number conflicts, this // meter is asked to create are logged to the user. var viewCache cache[string, instID] var int64Insts cacheWithErr[instID, *int64Inst] var float64Insts cacheWithErr[instID, *float64Inst] var int64ObservableInsts cacheWithErr[instID, int64Observable] var float64ObservableInsts cacheWithErr[instID, float64Observable] return &meter{ scope: s, pipes: p, int64Insts: &int64Insts, float64Insts: &float64Insts, int64ObservableInsts: &int64ObservableInsts, float64ObservableInsts: &float64ObservableInsts, int64Resolver: newResolver[int64](p, &viewCache), float64Resolver: newResolver[float64](p, &viewCache), } } // Compile-time check meter implements metric.Meter. var _ metric.Meter = (*meter)(nil) // Int64Counter returns a new instrument identified by name and configured with // options. The instrument is used to synchronously record increasing int64 // measurements during a computational operation. func (m *meter) Int64Counter(name string, options ...metric.Int64CounterOption) (metric.Int64Counter, error) { cfg := metric.NewInt64CounterConfig(options...) const kind = InstrumentKindCounter p := int64InstProvider{m} i, err := p.lookup(kind, name, cfg.Description(), cfg.Unit()) if err != nil { return i, err } return i, validateInstrumentName(name) } // Int64UpDownCounter returns a new instrument identified by name and // configured with options. The instrument is used to synchronously record // int64 measurements during a computational operation. func (m *meter) Int64UpDownCounter(name string, options ...metric.Int64UpDownCounterOption) (metric.Int64UpDownCounter, error) { cfg := metric.NewInt64UpDownCounterConfig(options...) const kind = InstrumentKindUpDownCounter p := int64InstProvider{m} i, err := p.lookup(kind, name, cfg.Description(), cfg.Unit()) if err != nil { return i, err } return i, validateInstrumentName(name) } // Int64Histogram returns a new instrument identified by name and configured // with options. The instrument is used to synchronously record the // distribution of int64 measurements during a computational operation. func (m *meter) Int64Histogram(name string, options ...metric.Int64HistogramOption) (metric.Int64Histogram, error) { cfg := metric.NewInt64HistogramConfig(options...) p := int64InstProvider{m} i, err := p.lookupHistogram(name, cfg) if err != nil { return i, err } return i, validateInstrumentName(name) } // int64ObservableInstrument returns a new observable identified by the Instrument. // It registers callbacks for each reader's pipeline. func (m *meter) int64ObservableInstrument(id Instrument, callbacks []metric.Int64Callback) (int64Observable, error) { key := instID{ Name: id.Name, Description: id.Description, Unit: id.Unit, Kind: id.Kind, } if m.int64ObservableInsts.HasKey(key) && len(callbacks) > 0 { warnRepeatedObservableCallbacks(id) } return m.int64ObservableInsts.Lookup(key, func() (int64Observable, error) { inst := newInt64Observable(m, id.Kind, id.Name, id.Description, id.Unit) for _, insert := range m.int64Resolver.inserters { // Connect the measure functions for instruments in this pipeline with the // callbacks for this pipeline. in, err := insert.Instrument(id, insert.readerDefaultAggregation(id.Kind)) if err != nil { return inst, err } // Drop aggregation if len(in) == 0 { inst.dropAggregation = true continue } inst.appendMeasures(in) for _, cback := range callbacks { inst := int64Observer{measures: in} fn := cback insert.addCallback(func(ctx context.Context) error { return fn(ctx, inst) }) } } return inst, validateInstrumentName(id.Name) }) } // Int64ObservableCounter returns a new instrument identified by name and // configured with options. The instrument is used to asynchronously record // increasing int64 measurements once per a measurement collection cycle. // Only the measurements recorded during the collection cycle are exported. // // If Int64ObservableCounter is invoked repeatedly with the same Name, // Description, and Unit, only the first set of callbacks provided are used. // Use meter.RegisterCallback and Registration.Unregister to manage callbacks // if instrumentation can be created multiple times with different callbacks. func (m *meter) Int64ObservableCounter(name string, options ...metric.Int64ObservableCounterOption) (metric.Int64ObservableCounter, error) { cfg := metric.NewInt64ObservableCounterConfig(options...) id := Instrument{ Name: name, Description: cfg.Description(), Unit: cfg.Unit(), Kind: InstrumentKindObservableCounter, Scope: m.scope, } return m.int64ObservableInstrument(id, cfg.Callbacks()) } // Int64ObservableUpDownCounter returns a new instrument identified by name and // configured with options. The instrument is used to asynchronously record // int64 measurements once per a measurement collection cycle. Only the // measurements recorded during the collection cycle are exported. func (m *meter) Int64ObservableUpDownCounter(name string, options ...metric.Int64ObservableUpDownCounterOption) (metric.Int64ObservableUpDownCounter, error) { cfg := metric.NewInt64ObservableUpDownCounterConfig(options...) id := Instrument{ Name: name, Description: cfg.Description(), Unit: cfg.Unit(), Kind: InstrumentKindObservableUpDownCounter, Scope: m.scope, } return m.int64ObservableInstrument(id, cfg.Callbacks()) } // Int64ObservableGauge returns a new instrument identified by name and // configured with options. The instrument is used to asynchronously record // instantaneous int64 measurements once per a measurement collection cycle. // Only the measurements recorded during the collection cycle are exported. func (m *meter) Int64ObservableGauge(name string, options ...metric.Int64ObservableGaugeOption) (metric.Int64ObservableGauge, error) { cfg := metric.NewInt64ObservableGaugeConfig(options...) id := Instrument{ Name: name, Description: cfg.Description(), Unit: cfg.Unit(), Kind: InstrumentKindObservableGauge, Scope: m.scope, } return m.int64ObservableInstrument(id, cfg.Callbacks()) } // Float64Counter returns a new instrument identified by name and configured // with options. The instrument is used to synchronously record increasing // float64 measurements during a computational operation. func (m *meter) Float64Counter(name string, options ...metric.Float64CounterOption) (metric.Float64Counter, error) { cfg := metric.NewFloat64CounterConfig(options...) const kind = InstrumentKindCounter p := float64InstProvider{m} i, err := p.lookup(kind, name, cfg.Description(), cfg.Unit()) if err != nil { return i, err } return i, validateInstrumentName(name) } // Float64UpDownCounter returns a new instrument identified by name and // configured with options. The instrument is used to synchronously record // float64 measurements during a computational operation. func (m *meter) Float64UpDownCounter(name string, options ...metric.Float64UpDownCounterOption) (metric.Float64UpDownCounter, error) { cfg := metric.NewFloat64UpDownCounterConfig(options...) const kind = InstrumentKindUpDownCounter p := float64InstProvider{m} i, err := p.lookup(kind, name, cfg.Description(), cfg.Unit()) if err != nil { return i, err } return i, validateInstrumentName(name) } // Float64Histogram returns a new instrument identified by name and configured // with options. The instrument is used to synchronously record the // distribution of float64 measurements during a computational operation. func (m *meter) Float64Histogram(name string, options ...metric.Float64HistogramOption) (metric.Float64Histogram, error) { cfg := metric.NewFloat64HistogramConfig(options...) p := float64InstProvider{m} i, err := p.lookupHistogram(name, cfg) if err != nil { return i, err } return i, validateInstrumentName(name) } // float64ObservableInstrument returns a new observable identified by the Instrument. // It registers callbacks for each reader's pipeline. func (m *meter) float64ObservableInstrument(id Instrument, callbacks []metric.Float64Callback) (float64Observable, error) { key := instID{ Name: id.Name, Description: id.Description, Unit: id.Unit, Kind: id.Kind, } if m.int64ObservableInsts.HasKey(key) && len(callbacks) > 0 { warnRepeatedObservableCallbacks(id) } return m.float64ObservableInsts.Lookup(key, func() (float64Observable, error) { inst := newFloat64Observable(m, id.Kind, id.Name, id.Description, id.Unit) for _, insert := range m.float64Resolver.inserters { // Connect the measure functions for instruments in this pipeline with the // callbacks for this pipeline. in, err := insert.Instrument(id, insert.readerDefaultAggregation(id.Kind)) if err != nil { return inst, err } // Drop aggregation if len(in) == 0 { inst.dropAggregation = true continue } inst.appendMeasures(in) for _, cback := range callbacks { inst := float64Observer{measures: in} fn := cback insert.addCallback(func(ctx context.Context) error { return fn(ctx, inst) }) } } return inst, validateInstrumentName(id.Name) }) } // Float64ObservableCounter returns a new instrument identified by name and // configured with options. The instrument is used to asynchronously record // increasing float64 measurements once per a measurement collection cycle. // Only the measurements recorded during the collection cycle are exported. // // If Float64ObservableCounter is invoked repeatedly with the same Name, // Description, and Unit, only the first set of callbacks provided are used. // Use meter.RegisterCallback and Registration.Unregister to manage callbacks // if instrumentation can be created multiple times with different callbacks. func (m *meter) Float64ObservableCounter(name string, options ...metric.Float64ObservableCounterOption) (metric.Float64ObservableCounter, error) { cfg := metric.NewFloat64ObservableCounterConfig(options...) id := Instrument{ Name: name, Description: cfg.Description(), Unit: cfg.Unit(), Kind: InstrumentKindObservableCounter, Scope: m.scope, } return m.float64ObservableInstrument(id, cfg.Callbacks()) } // Float64ObservableUpDownCounter returns a new instrument identified by name // and configured with options. The instrument is used to asynchronously record // float64 measurements once per a measurement collection cycle. Only the // measurements recorded during the collection cycle are exported. func (m *meter) Float64ObservableUpDownCounter(name string, options ...metric.Float64ObservableUpDownCounterOption) (metric.Float64ObservableUpDownCounter, error) { cfg := metric.NewFloat64ObservableUpDownCounterConfig(options...) id := Instrument{ Name: name, Description: cfg.Description(), Unit: cfg.Unit(), Kind: InstrumentKindObservableUpDownCounter, Scope: m.scope, } return m.float64ObservableInstrument(id, cfg.Callbacks()) } // Float64ObservableGauge returns a new instrument identified by name and // configured with options. The instrument is used to asynchronously record // instantaneous float64 measurements once per a measurement collection cycle. // Only the measurements recorded during the collection cycle are exported. func (m *meter) Float64ObservableGauge(name string, options ...metric.Float64ObservableGaugeOption) (metric.Float64ObservableGauge, error) { cfg := metric.NewFloat64ObservableGaugeConfig(options...) id := Instrument{ Name: name, Description: cfg.Description(), Unit: cfg.Unit(), Kind: InstrumentKindObservableGauge, Scope: m.scope, } return m.float64ObservableInstrument(id, cfg.Callbacks()) } func validateInstrumentName(name string) error { if len(name) == 0 { return fmt.Errorf("%w: %s: is empty", ErrInstrumentName, name) } if len(name) > 255 { return fmt.Errorf("%w: %s: longer than 255 characters", ErrInstrumentName, name) } if !isAlpha([]rune(name)[0]) { return fmt.Errorf("%w: %s: must start with a letter", ErrInstrumentName, name) } if len(name) == 1 { return nil } for _, c := range name[1:] { if !isAlphanumeric(c) && c != '_' && c != '.' && c != '-' && c != '/' { return fmt.Errorf("%w: %s: must only contain [A-Za-z0-9_.-/]", ErrInstrumentName, name) } } return nil } func isAlpha(c rune) bool { return ('a' <= c && c <= 'z') || ('A' <= c && c <= 'Z') } func isAlphanumeric(c rune) bool { return isAlpha(c) || ('0' <= c && c <= '9') } func warnRepeatedObservableCallbacks(id Instrument) { inst := fmt.Sprintf( "Instrument{Name: %q, Description: %q, Kind: %q, Unit: %q}", id.Name, id.Description, "InstrumentKind"+id.Kind.String(), id.Unit, ) global.Warn("Repeated observable instrument creation with callbacks. Ignoring new callbacks. Use meter.RegisterCallback and Registration.Unregister to manage callbacks.", "instrument", inst, ) } // RegisterCallback registers f to be called each collection cycle so it will // make observations for insts during those cycles. // // The only instruments f can make observations for are insts. All other // observations will be dropped and an error will be logged. // // Only instruments from this meter can be registered with f, an error is // returned if other instrument are provided. // // Only observations made in the callback will be exported. Unlike synchronous // instruments, asynchronous callbacks can "forget" attribute sets that are no // longer relevant by omitting the observation during the callback. // // The returned Registration can be used to unregister f. func (m *meter) RegisterCallback(f metric.Callback, insts ...metric.Observable) (metric.Registration, error) { if len(insts) == 0 { // Don't allocate a observer if not needed. return noopRegister{}, nil } reg := newObserver() var errs multierror for _, inst := range insts { // Unwrap any global. if u, ok := inst.(interface { Unwrap() metric.Observable }); ok { inst = u.Unwrap() } switch o := inst.(type) { case int64Observable: if err := o.registerable(m); err != nil { if !errors.Is(err, errEmptyAgg) { errs.append(err) } continue } reg.registerInt64(o.observablID) case float64Observable: if err := o.registerable(m); err != nil { if !errors.Is(err, errEmptyAgg) { errs.append(err) } continue } reg.registerFloat64(o.observablID) default: // Instrument external to the SDK. return nil, fmt.Errorf("invalid observable: from different implementation") } } err := errs.errorOrNil() if reg.len() == 0 { // All insts use drop aggregation or are invalid. return noopRegister{}, err } // Some or all instruments were valid. cback := func(ctx context.Context) error { return f(ctx, reg) } return m.pipes.registerMultiCallback(cback), err } type observer struct { embedded.Observer float64 map[observablID[float64]]struct{} int64 map[observablID[int64]]struct{} } func newObserver() observer { return observer{ float64: make(map[observablID[float64]]struct{}), int64: make(map[observablID[int64]]struct{}), } } func (r observer) len() int { return len(r.float64) + len(r.int64) } func (r observer) registerFloat64(id observablID[float64]) { r.float64[id] = struct{}{} } func (r observer) registerInt64(id observablID[int64]) { r.int64[id] = struct{}{} } var ( errUnknownObserver = errors.New("unknown observable instrument") errUnregObserver = errors.New("observable instrument not registered for callback") ) func (r observer) ObserveFloat64(o metric.Float64Observable, v float64, opts ...metric.ObserveOption) { var oImpl float64Observable switch conv := o.(type) { case float64Observable: oImpl = conv case interface { Unwrap() metric.Observable }: // Unwrap any global. async := conv.Unwrap() var ok bool if oImpl, ok = async.(float64Observable); !ok { global.Error(errUnknownObserver, "failed to record asynchronous") return } default: global.Error(errUnknownObserver, "failed to record") return } if _, registered := r.float64[oImpl.observablID]; !registered { if !oImpl.dropAggregation { global.Error(errUnregObserver, "failed to record", "name", oImpl.name, "description", oImpl.description, "unit", oImpl.unit, "number", fmt.Sprintf("%T", float64(0)), ) } return } c := metric.NewObserveConfig(opts) oImpl.observe(v, c.Attributes()) } func (r observer) ObserveInt64(o metric.Int64Observable, v int64, opts ...metric.ObserveOption) { var oImpl int64Observable switch conv := o.(type) { case int64Observable: oImpl = conv case interface { Unwrap() metric.Observable }: // Unwrap any global. async := conv.Unwrap() var ok bool if oImpl, ok = async.(int64Observable); !ok { global.Error(errUnknownObserver, "failed to record asynchronous") return } default: global.Error(errUnknownObserver, "failed to record") return } if _, registered := r.int64[oImpl.observablID]; !registered { if !oImpl.dropAggregation { global.Error(errUnregObserver, "failed to record", "name", oImpl.name, "description", oImpl.description, "unit", oImpl.unit, "number", fmt.Sprintf("%T", int64(0)), ) } return } c := metric.NewObserveConfig(opts) oImpl.observe(v, c.Attributes()) } type noopRegister struct{ embedded.Registration } func (noopRegister) Unregister() error { return nil } // int64InstProvider provides int64 OpenTelemetry instruments. type int64InstProvider struct{ *meter } func (p int64InstProvider) aggs(kind InstrumentKind, name, desc, u string) ([]aggregate.Measure[int64], error) { inst := Instrument{ Name: name, Description: desc, Unit: u, Kind: kind, Scope: p.scope, } return p.int64Resolver.Aggregators(inst) } func (p int64InstProvider) histogramAggs(name string, cfg metric.Int64HistogramConfig) ([]aggregate.Measure[int64], error) { boundaries := cfg.ExplicitBucketBoundaries() aggError := AggregationExplicitBucketHistogram{Boundaries: boundaries}.err() if aggError != nil { // If boundaries are invalid, ignore them. boundaries = nil } inst := Instrument{ Name: name, Description: cfg.Description(), Unit: cfg.Unit(), Kind: InstrumentKindHistogram, Scope: p.scope, } measures, err := p.int64Resolver.HistogramAggregators(inst, boundaries) return measures, errors.Join(aggError, err) } // lookup returns the resolved instrumentImpl. func (p int64InstProvider) lookup(kind InstrumentKind, name, desc, u string) (*int64Inst, error) { return p.meter.int64Insts.Lookup(instID{ Name: name, Description: desc, Unit: u, Kind: kind, }, func() (*int64Inst, error) { aggs, err := p.aggs(kind, name, desc, u) return &int64Inst{measures: aggs}, err }) } // lookupHistogram returns the resolved instrumentImpl. func (p int64InstProvider) lookupHistogram(name string, cfg metric.Int64HistogramConfig) (*int64Inst, error) { return p.meter.int64Insts.Lookup(instID{ Name: name, Description: cfg.Description(), Unit: cfg.Unit(), Kind: InstrumentKindHistogram, }, func() (*int64Inst, error) { aggs, err := p.histogramAggs(name, cfg) return &int64Inst{measures: aggs}, err }) } // float64InstProvider provides float64 OpenTelemetry instruments. type float64InstProvider struct{ *meter } func (p float64InstProvider) aggs(kind InstrumentKind, name, desc, u string) ([]aggregate.Measure[float64], error) { inst := Instrument{ Name: name, Description: desc, Unit: u, Kind: kind, Scope: p.scope, } return p.float64Resolver.Aggregators(inst) } func (p float64InstProvider) histogramAggs(name string, cfg metric.Float64HistogramConfig) ([]aggregate.Measure[float64], error) { boundaries := cfg.ExplicitBucketBoundaries() aggError := AggregationExplicitBucketHistogram{Boundaries: boundaries}.err() if aggError != nil { // If boundaries are invalid, ignore them. boundaries = nil } inst := Instrument{ Name: name, Description: cfg.Description(), Unit: cfg.Unit(), Kind: InstrumentKindHistogram, Scope: p.scope, } measures, err := p.float64Resolver.HistogramAggregators(inst, boundaries) return measures, errors.Join(aggError, err) } // lookup returns the resolved instrumentImpl. func (p float64InstProvider) lookup(kind InstrumentKind, name, desc, u string) (*float64Inst, error) { return p.meter.float64Insts.Lookup(instID{ Name: name, Description: desc, Unit: u, Kind: kind, }, func() (*float64Inst, error) { aggs, err := p.aggs(kind, name, desc, u) return &float64Inst{measures: aggs}, err }) } // lookupHistogram returns the resolved instrumentImpl. func (p float64InstProvider) lookupHistogram(name string, cfg metric.Float64HistogramConfig) (*float64Inst, error) { return p.meter.float64Insts.Lookup(instID{ Name: name, Description: cfg.Description(), Unit: cfg.Unit(), Kind: InstrumentKindHistogram, }, func() (*float64Inst, error) { aggs, err := p.histogramAggs(name, cfg) return &float64Inst{measures: aggs}, err }) } type int64Observer struct { embedded.Int64Observer measures[int64] } func (o int64Observer) Observe(val int64, opts ...metric.ObserveOption) { c := metric.NewObserveConfig(opts) o.observe(val, c.Attributes()) } type float64Observer struct { embedded.Float64Observer measures[float64] } func (o float64Observer) Observe(val float64, opts ...metric.ObserveOption) { c := metric.NewObserveConfig(opts) o.observe(val, c.Attributes()) }