// 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" "fmt" "runtime" "sync" "sync/atomic" "go.opentelemetry.io/otel" "go.opentelemetry.io/otel/attribute" internal "go.opentelemetry.io/otel/internal/metric" "go.opentelemetry.io/otel/metric" "go.opentelemetry.io/otel/metric/number" export "go.opentelemetry.io/otel/sdk/export/metric" "go.opentelemetry.io/otel/sdk/metric/aggregator" "go.opentelemetry.io/otel/sdk/resource" ) type ( // Accumulator implements the OpenTelemetry Meter API. The // Accumulator is bound to a single export.Processor in // `NewAccumulator()`. // // The Accumulator supports a Collect() API to gather and export // current data. Collect() should be arranged according to // the processor model. Push-based processors will setup a // timer to call Collect() periodically. Pull-based processors // will call Collect() when a pull request arrives. Accumulator struct { // current maps `mapkey` to *record. current sync.Map // asyncInstruments is a set of // `*asyncInstrument` instances asyncLock sync.Mutex asyncInstruments *internal.AsyncInstrumentState // currentEpoch is the current epoch number. It is // incremented in `Collect()`. currentEpoch int64 // processor is the configured processor+configuration. processor export.Processor // collectLock prevents simultaneous calls to Collect(). collectLock sync.Mutex // asyncSortSlice has a single purpose - as a temporary // place for sorting during labels creation to avoid // allocation. It is cleared after use. asyncSortSlice attribute.Sortable // resource is applied to all records in this Accumulator. resource *resource.Resource } syncInstrument struct { instrument } // mapkey uniquely describes a metric instrument in terms of // its InstrumentID and the encoded form of its labels. mapkey struct { descriptor *metric.Descriptor ordered attribute.Distinct } // record maintains the state of one metric instrument. Due // the use of lock-free algorithms, there may be more than one // `record` in existence at a time, although at most one can // be referenced from the `Accumulator.current` map. record struct { // refMapped keeps track of refcounts and the mapping state to the // Accumulator.current map. refMapped refcountMapped // updateCount is incremented on every Update. updateCount int64 // collectedCount is set to updateCount on collection, // supports checking for no updates during a round. collectedCount int64 // storage is the stored label set for this record, // except in cases where a label set is shared due to // batch recording. storage attribute.Set // labels is the processed label set for this record. // this may refer to the `storage` field in another // record if this label set is shared resulting from // `RecordBatch`. labels *attribute.Set // sortSlice has a single purpose - as a temporary // place for sorting during labels creation to avoid // allocation. sortSlice attribute.Sortable // inst is a pointer to the corresponding instrument. inst *syncInstrument // current implements the actual RecordOne() API, // depending on the type of aggregation. If nil, the // metric was disabled by the exporter. current export.Aggregator checkpoint export.Aggregator } instrument struct { meter *Accumulator descriptor metric.Descriptor } asyncInstrument struct { instrument // recorders maps ordered labels to the pair of // labelset and recorder recorders map[attribute.Distinct]*labeledRecorder } labeledRecorder struct { observedEpoch int64 labels *attribute.Set observed export.Aggregator } ) var ( _ metric.MeterImpl = &Accumulator{} _ metric.AsyncImpl = &asyncInstrument{} _ metric.SyncImpl = &syncInstrument{} _ metric.BoundSyncImpl = &record{} ErrUninitializedInstrument = fmt.Errorf("use of an uninitialized instrument") ) func (inst *instrument) Descriptor() metric.Descriptor { return inst.descriptor } func (a *asyncInstrument) Implementation() interface{} { return a } func (s *syncInstrument) Implementation() interface{} { return s } func (a *asyncInstrument) observe(num number.Number, labels *attribute.Set) { if err := aggregator.RangeTest(num, &a.descriptor); err != nil { otel.Handle(err) return } recorder := a.getRecorder(labels) if recorder == nil { // The instrument is disabled according to the // AggregatorSelector. return } if err := recorder.Update(context.Background(), num, &a.descriptor); err != nil { otel.Handle(err) return } } func (a *asyncInstrument) getRecorder(labels *attribute.Set) export.Aggregator { lrec, ok := a.recorders[labels.Equivalent()] if ok { // Note: SynchronizedMove(nil) can't return an error _ = lrec.observed.SynchronizedMove(nil, &a.descriptor) lrec.observedEpoch = a.meter.currentEpoch a.recorders[labels.Equivalent()] = lrec return lrec.observed } var rec export.Aggregator a.meter.processor.AggregatorFor(&a.descriptor, &rec) if a.recorders == nil { a.recorders = make(map[attribute.Distinct]*labeledRecorder) } // This may store nil recorder in the map, thus disabling the // asyncInstrument for the labelset for good. This is intentional, // but will be revisited later. a.recorders[labels.Equivalent()] = &labeledRecorder{ observed: rec, labels: labels, observedEpoch: a.meter.currentEpoch, } return rec } // acquireHandle gets or creates a `*record` corresponding to `kvs`, // the input labels. The second argument `labels` is passed in to // support re-use of the orderedLabels computed by a previous // measurement in the same batch. This performs two allocations // in the common case. func (s *syncInstrument) acquireHandle(kvs []attribute.KeyValue, labelPtr *attribute.Set) *record { var rec *record var equiv attribute.Distinct if labelPtr == nil { // This memory allocation may not be used, but it's // needed for the `sortSlice` field, to avoid an // allocation while sorting. rec = &record{} rec.storage = attribute.NewSetWithSortable(kvs, &rec.sortSlice) rec.labels = &rec.storage equiv = rec.storage.Equivalent() } else { equiv = labelPtr.Equivalent() } // Create lookup key for sync.Map (one allocation, as this // passes through an interface{}) mk := mapkey{ descriptor: &s.descriptor, ordered: equiv, } if actual, ok := s.meter.current.Load(mk); ok { // Existing record case. existingRec := actual.(*record) if existingRec.refMapped.ref() { // At this moment it is guaranteed that the entry is in // the map and will not be removed. return existingRec } // This entry is no longer mapped, try to add a new entry. } if rec == nil { rec = &record{} rec.labels = labelPtr } rec.refMapped = refcountMapped{value: 2} rec.inst = s s.meter.processor.AggregatorFor(&s.descriptor, &rec.current, &rec.checkpoint) for { // Load/Store: there's a memory allocation to place `mk` into // an interface here. if actual, loaded := s.meter.current.LoadOrStore(mk, rec); loaded { // Existing record case. Cannot change rec here because if fail // will try to add rec again to avoid new allocations. oldRec := actual.(*record) if oldRec.refMapped.ref() { // At this moment it is guaranteed that the entry is in // the map and will not be removed. return oldRec } // This loaded entry is marked as unmapped (so Collect will remove // it from the map immediately), try again - this is a busy waiting // strategy to wait until Collect() removes this entry from the map. // // This can be improved by having a list of "Unmapped" entries for // one time only usages, OR we can make this a blocking path and use // a Mutex that protects the delete operation (delete only if the old // record is associated with the key). // Let collector get work done to remove the entry from the map. runtime.Gosched() continue } // The new entry was added to the map, good to go. return rec } } // The order of the input array `kvs` may be sorted after the function is called. func (s *syncInstrument) Bind(kvs []attribute.KeyValue) metric.BoundSyncImpl { return s.acquireHandle(kvs, nil) } // The order of the input array `kvs` may be sorted after the function is called. func (s *syncInstrument) RecordOne(ctx context.Context, num number.Number, kvs []attribute.KeyValue) { h := s.acquireHandle(kvs, nil) defer h.Unbind() h.RecordOne(ctx, num) } // NewAccumulator constructs a new Accumulator for the given // processor. This Accumulator supports only a single processor. // // The Accumulator does not start any background process to collect itself // periodically, this responsibility lies with the processor, typically, // depending on the type of export. For example, a pull-based // processor will call Collect() when it receives a request to scrape // current metric values. A push-based processor should configure its // own periodic collection. func NewAccumulator(processor export.Processor, resource *resource.Resource) *Accumulator { return &Accumulator{ processor: processor, asyncInstruments: internal.NewAsyncInstrumentState(), resource: resource, } } // NewSyncInstrument implements metric.MetricImpl. func (m *Accumulator) NewSyncInstrument(descriptor metric.Descriptor) (metric.SyncImpl, error) { return &syncInstrument{ instrument: instrument{ descriptor: descriptor, meter: m, }, }, nil } // NewAsyncInstrument implements metric.MetricImpl. func (m *Accumulator) NewAsyncInstrument(descriptor metric.Descriptor, runner metric.AsyncRunner) (metric.AsyncImpl, error) { a := &asyncInstrument{ instrument: instrument{ descriptor: descriptor, meter: m, }, } m.asyncLock.Lock() defer m.asyncLock.Unlock() m.asyncInstruments.Register(a, runner) return a, nil } // Collect traverses the list of active records and observers and // exports data for each active instrument. Collect() may not be // called concurrently. // // During the collection pass, the export.Processor will receive // one Export() call per current aggregation. // // Returns the number of records that were checkpointed. func (m *Accumulator) Collect(ctx context.Context) int { m.collectLock.Lock() defer m.collectLock.Unlock() checkpointed := m.observeAsyncInstruments(ctx) checkpointed += m.collectSyncInstruments() m.currentEpoch++ return checkpointed } func (m *Accumulator) collectSyncInstruments() int { checkpointed := 0 m.current.Range(func(key interface{}, value interface{}) bool { // Note: always continue to iterate over the entire // map by returning `true` in this function. inuse := value.(*record) mods := atomic.LoadInt64(&inuse.updateCount) coll := inuse.collectedCount if mods != coll { // Updates happened in this interval, // checkpoint and continue. checkpointed += m.checkpointRecord(inuse) inuse.collectedCount = mods return true } // Having no updates since last collection, try to unmap: if unmapped := inuse.refMapped.tryUnmap(); !unmapped { // The record is referenced by a binding, continue. return true } // If any other goroutines are now trying to re-insert this // entry in the map, they are busy calling Gosched() awaiting // this deletion: m.current.Delete(inuse.mapkey()) // There's a potential race between `LoadInt64` and // `tryUnmap` in this function. Since this is the // last we'll see of this record, checkpoint mods = atomic.LoadInt64(&inuse.updateCount) if mods != coll { checkpointed += m.checkpointRecord(inuse) } return true }) return checkpointed } // CollectAsync implements internal.AsyncCollector. // The order of the input array `kvs` may be sorted after the function is called. func (m *Accumulator) CollectAsync(kv []attribute.KeyValue, obs ...metric.Observation) { labels := attribute.NewSetWithSortable(kv, &m.asyncSortSlice) for _, ob := range obs { if a := m.fromAsync(ob.AsyncImpl()); a != nil { a.observe(ob.Number(), &labels) } } } func (m *Accumulator) observeAsyncInstruments(ctx context.Context) int { m.asyncLock.Lock() defer m.asyncLock.Unlock() asyncCollected := 0 m.asyncInstruments.Run(ctx, m) for _, inst := range m.asyncInstruments.Instruments() { if a := m.fromAsync(inst); a != nil { asyncCollected += m.checkpointAsync(a) } } return asyncCollected } func (m *Accumulator) checkpointRecord(r *record) int { if r.current == nil { return 0 } err := r.current.SynchronizedMove(r.checkpoint, &r.inst.descriptor) if err != nil { otel.Handle(err) return 0 } a := export.NewAccumulation(&r.inst.descriptor, r.labels, m.resource, r.checkpoint) err = m.processor.Process(a) if err != nil { otel.Handle(err) } return 1 } func (m *Accumulator) checkpointAsync(a *asyncInstrument) int { if len(a.recorders) == 0 { return 0 } checkpointed := 0 for encodedLabels, lrec := range a.recorders { lrec := lrec epochDiff := m.currentEpoch - lrec.observedEpoch if epochDiff == 0 { if lrec.observed != nil { a := export.NewAccumulation(&a.descriptor, lrec.labels, m.resource, lrec.observed) err := m.processor.Process(a) if err != nil { otel.Handle(err) } checkpointed++ } } else if epochDiff > 1 { // This is second collection cycle with no // observations for this labelset. Remove the // recorder. delete(a.recorders, encodedLabels) } } if len(a.recorders) == 0 { a.recorders = nil } return checkpointed } // RecordBatch enters a batch of metric events. // The order of the input array `kvs` may be sorted after the function is called. func (m *Accumulator) RecordBatch(ctx context.Context, kvs []attribute.KeyValue, measurements ...metric.Measurement) { // Labels will be computed the first time acquireHandle is // called. Subsequent calls to acquireHandle will re-use the // previously computed value instead of recomputing the // ordered labels. var labelsPtr *attribute.Set for i, meas := range measurements { s := m.fromSync(meas.SyncImpl()) if s == nil { continue } h := s.acquireHandle(kvs, labelsPtr) // Re-use labels for the next measurement. if i == 0 { labelsPtr = h.labels } defer h.Unbind() h.RecordOne(ctx, meas.Number()) } } // RecordOne implements metric.SyncImpl. func (r *record) RecordOne(ctx context.Context, num number.Number) { if r.current == nil { // The instrument is disabled according to the AggregatorSelector. return } if err := aggregator.RangeTest(num, &r.inst.descriptor); err != nil { otel.Handle(err) return } if err := r.current.Update(ctx, num, &r.inst.descriptor); err != nil { otel.Handle(err) return } // Record was modified, inform the Collect() that things need // to be collected while the record is still mapped. atomic.AddInt64(&r.updateCount, 1) } // Unbind implements metric.SyncImpl. func (r *record) Unbind() { r.refMapped.unref() } func (r *record) mapkey() mapkey { return mapkey{ descriptor: &r.inst.descriptor, ordered: r.labels.Equivalent(), } } // fromSync gets a sync implementation object, checking for // uninitialized instruments and instruments created by another SDK. func (m *Accumulator) fromSync(sync metric.SyncImpl) *syncInstrument { if sync != nil { if inst, ok := sync.Implementation().(*syncInstrument); ok { return inst } } otel.Handle(ErrUninitializedInstrument) return nil } // fromSync gets an async implementation object, checking for // uninitialized instruments and instruments created by another SDK. func (m *Accumulator) fromAsync(async metric.AsyncImpl) *asyncInstrument { if async != nil { if inst, ok := async.Implementation().(*asyncInstrument); ok { return inst } } otel.Handle(ErrUninitializedInstrument) return nil }