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opentelemetry-go/sdk/metric/sdk.go
Joshua MacDonald 4e8d667f6e
Support a single Resource per MeterProvider in the SDK (#2120)
* Remove resource from export.Record

* fix bridge/opencensus

* partial fixes in exporters/otlp/otlpmetric

* Use go-cmp to simplify exporter_test

* OTLP http/grpc

* prometheus

* fix stdout (pending PR 2015)

* oc bridge cleanups

* Lint and changelog

* pr num

* cleanup

* revert

* fix multiple

* always merge the environment

* lint

* precommit

* qualify package names in changelog
2021-08-12 15:44:58 -07:00

552 lines
16 KiB
Go

// 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"
)
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
}
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 is returned when an instrument is used when uninitialized.
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) *Accumulator {
return &Accumulator{
processor: processor,
asyncInstruments: internal.NewAsyncInstrumentState(),
}
}
// 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, 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, 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
}