mirror of
https://github.com/prometheus/prometheus.git
synced 2024-11-10 07:34:04 -08:00
6bc083f38b
- Mostly docstring fixed/additions. (Please review these carefully, since most of them were missing, I had to guess them from an outsider's perspective. (Which on the other hand proves how desperately required many of these docstrings are.)) - Removed all uses of new(...) to meet our own style guide (draft). - Fixed all other 'go vet' and 'golint' issues (except those that are not fixable (i.e. caused by bugs in or by design of 'go vet' and 'golint')). - Some trivial refactorings, like reorder functions, minor renames, ... - Some slightly less trivial refactoring, mostly to reduce code duplication by embedding types instead of writing many explicit forwarders. - Cleaned up the interface structure a bit. (Most significant probably the removal of the View-like methods from MetricPersistenc. Now they are only in View and not duplicated anymore.) - Removed dead code. (Probably not all of it, but it's a first step...) - Fixed a leftover in storage/metric/end_to_end_test.go (that made some parts of the code never execute (incidentally, those parts were broken (and I fixed them, too))). Change-Id: Ibcac069940d118a88f783314f5b4595dce6641d5
485 lines
11 KiB
Go
485 lines
11 KiB
Go
// Copyright 2013 Prometheus Team
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package metric
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import (
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"sort"
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"sync"
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clientmodel "github.com/prometheus/client_golang/model"
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"github.com/prometheus/prometheus/utility"
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)
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// An initialSeriesArenaSize of 4*60 allows for one hour's worth of storage per
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// metric without any major reallocations - assuming a sample rate of 1 / 15Hz.
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const initialSeriesArenaSize = 4 * 60
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type stream interface {
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add(...*SamplePair)
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clone() Values
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expunge(age clientmodel.Timestamp) Values
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size() int
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clear()
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metric() clientmodel.Metric
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getValueAtTime(t clientmodel.Timestamp) Values
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getBoundaryValues(in Interval) Values
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getRangeValues(in Interval) Values
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}
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type arrayStream struct {
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sync.RWMutex
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m clientmodel.Metric
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values Values
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}
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func (s *arrayStream) metric() clientmodel.Metric {
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return s.m
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}
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func (s *arrayStream) add(v ...*SamplePair) {
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s.Lock()
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defer s.Unlock()
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s.values = append(s.values, v...)
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}
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func (s *arrayStream) clone() Values {
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s.RLock()
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defer s.RUnlock()
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clone := make(Values, len(s.values))
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copy(clone, s.values)
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return clone
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}
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func (s *arrayStream) expunge(t clientmodel.Timestamp) Values {
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s.Lock()
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defer s.Unlock()
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finder := func(i int) bool {
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return s.values[i].Timestamp.After(t)
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}
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i := sort.Search(len(s.values), finder)
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expunged := s.values[:i]
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s.values = s.values[i:]
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return expunged
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}
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func (s *arrayStream) getValueAtTime(t clientmodel.Timestamp) Values {
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s.RLock()
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defer s.RUnlock()
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// BUG(all): May be avenues for simplification.
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l := len(s.values)
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switch l {
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case 0:
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return Values{}
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case 1:
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return Values{s.values[0]}
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default:
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index := sort.Search(l, func(i int) bool {
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return !s.values[i].Timestamp.Before(t)
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})
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if index == 0 {
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return Values{s.values[0]}
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}
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if index == l {
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return Values{s.values[l-1]}
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}
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if s.values[index].Timestamp.Equal(t) {
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return Values{s.values[index]}
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}
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return Values{s.values[index-1], s.values[index]}
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}
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}
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func (s *arrayStream) getBoundaryValues(in Interval) Values {
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s.RLock()
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defer s.RUnlock()
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oldest := sort.Search(len(s.values), func(i int) bool {
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return !s.values[i].Timestamp.Before(in.OldestInclusive)
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})
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newest := sort.Search(len(s.values), func(i int) bool {
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return s.values[i].Timestamp.After(in.NewestInclusive)
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})
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resultRange := s.values[oldest:newest]
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switch len(resultRange) {
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case 0:
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return Values{}
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case 1:
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return Values{resultRange[0]}
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default:
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return Values{resultRange[0], resultRange[len(resultRange)-1]}
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}
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}
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func (s *arrayStream) getRangeValues(in Interval) Values {
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s.RLock()
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defer s.RUnlock()
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oldest := sort.Search(len(s.values), func(i int) bool {
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return !s.values[i].Timestamp.Before(in.OldestInclusive)
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})
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newest := sort.Search(len(s.values), func(i int) bool {
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return s.values[i].Timestamp.After(in.NewestInclusive)
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})
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result := make(Values, newest-oldest)
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copy(result, s.values[oldest:newest])
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return result
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}
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func (s *arrayStream) size() int {
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return len(s.values)
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}
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func (s *arrayStream) clear() {
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s.values = Values{}
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}
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func newArrayStream(metric clientmodel.Metric) *arrayStream {
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return &arrayStream{
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m: metric,
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values: make(Values, 0, initialSeriesArenaSize),
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}
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}
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type memorySeriesStorage struct {
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sync.RWMutex
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wmCache *watermarkCache
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fingerprintToSeries map[clientmodel.Fingerprint]stream
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labelPairToFingerprints map[LabelPair]clientmodel.Fingerprints
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labelNameToFingerprints map[clientmodel.LabelName]clientmodel.Fingerprints
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}
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// MemorySeriesOptions bundles options used by NewMemorySeriesStorage to create
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// a memory series storage.
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type MemorySeriesOptions struct {
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// If provided, this WatermarkCache will be updated for any samples that
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// are appended to the memorySeriesStorage.
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WatermarkCache *watermarkCache
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}
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func (s *memorySeriesStorage) AppendSamples(samples clientmodel.Samples) error {
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for _, sample := range samples {
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s.AppendSample(sample)
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}
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return nil
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}
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func (s *memorySeriesStorage) AppendSample(sample *clientmodel.Sample) error {
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s.Lock()
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defer s.Unlock()
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fingerprint := &clientmodel.Fingerprint{}
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fingerprint.LoadFromMetric(sample.Metric)
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series := s.getOrCreateSeries(sample.Metric, fingerprint)
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series.add(&SamplePair{
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Value: sample.Value,
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Timestamp: sample.Timestamp,
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})
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if s.wmCache != nil {
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s.wmCache.Put(fingerprint, &watermarks{High: sample.Timestamp})
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}
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return nil
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}
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func (s *memorySeriesStorage) CreateEmptySeries(metric clientmodel.Metric) {
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s.Lock()
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defer s.Unlock()
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m := clientmodel.Metric{}
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for label, value := range metric {
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m[label] = value
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}
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fingerprint := &clientmodel.Fingerprint{}
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fingerprint.LoadFromMetric(m)
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s.getOrCreateSeries(m, fingerprint)
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}
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func (s *memorySeriesStorage) getOrCreateSeries(metric clientmodel.Metric, fingerprint *clientmodel.Fingerprint) stream {
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series, ok := s.fingerprintToSeries[*fingerprint]
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if !ok {
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series = newArrayStream(metric)
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s.fingerprintToSeries[*fingerprint] = series
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for k, v := range metric {
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labelPair := LabelPair{
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Name: k,
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Value: v,
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}
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labelPairValues := s.labelPairToFingerprints[labelPair]
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labelPairValues = append(labelPairValues, fingerprint)
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s.labelPairToFingerprints[labelPair] = labelPairValues
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labelNameValues := s.labelNameToFingerprints[k]
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labelNameValues = append(labelNameValues, fingerprint)
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s.labelNameToFingerprints[k] = labelNameValues
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}
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}
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return series
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}
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func (s *memorySeriesStorage) Flush(flushOlderThan clientmodel.Timestamp, queue chan<- clientmodel.Samples) {
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emptySeries := []clientmodel.Fingerprint{}
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s.RLock()
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for fingerprint, stream := range s.fingerprintToSeries {
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toArchive := stream.expunge(flushOlderThan)
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queued := make(clientmodel.Samples, 0, len(toArchive))
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// NOTE: This duplication will go away soon.
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for _, value := range toArchive {
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queued = append(queued, &clientmodel.Sample{
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Metric: stream.metric(),
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Timestamp: value.Timestamp,
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Value: value.Value,
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})
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}
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// BUG(all): this can deadlock if the queue is full, as we only ever clear
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// the queue after calling this method:
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// https://github.com/prometheus/prometheus/issues/275
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queue <- queued
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if stream.size() == 0 {
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emptySeries = append(emptySeries, fingerprint)
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}
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}
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s.RUnlock()
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for _, fingerprint := range emptySeries {
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if series, ok := s.fingerprintToSeries[fingerprint]; ok && series.size() == 0 {
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s.Lock()
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s.dropSeries(&fingerprint)
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s.Unlock()
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}
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}
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}
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// Drop all references to a series, including any samples.
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func (s *memorySeriesStorage) dropSeries(fingerprint *clientmodel.Fingerprint) {
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series, ok := s.fingerprintToSeries[*fingerprint]
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if !ok {
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return
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}
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for k, v := range series.metric() {
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labelPair := LabelPair{
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Name: k,
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Value: v,
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}
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delete(s.labelPairToFingerprints, labelPair)
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delete(s.labelNameToFingerprints, k)
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}
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delete(s.fingerprintToSeries, *fingerprint)
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}
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// Append raw samples, bypassing indexing. Only used to add data to views,
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// which don't need to lookup by metric.
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func (s *memorySeriesStorage) appendSamplesWithoutIndexing(fingerprint *clientmodel.Fingerprint, samples Values) {
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s.Lock()
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defer s.Unlock()
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series, ok := s.fingerprintToSeries[*fingerprint]
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if !ok {
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series = newArrayStream(clientmodel.Metric{})
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s.fingerprintToSeries[*fingerprint] = series
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}
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series.add(samples...)
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}
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func (s *memorySeriesStorage) GetFingerprintsForLabelSet(l clientmodel.LabelSet) (fingerprints clientmodel.Fingerprints, err error) {
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s.RLock()
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defer s.RUnlock()
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sets := []utility.Set{}
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for k, v := range l {
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values := s.labelPairToFingerprints[LabelPair{
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Name: k,
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Value: v,
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}]
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set := utility.Set{}
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for _, fingerprint := range values {
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set.Add(*fingerprint)
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}
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sets = append(sets, set)
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}
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setCount := len(sets)
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if setCount == 0 {
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return fingerprints, nil
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}
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base := sets[0]
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for i := 1; i < setCount; i++ {
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base = base.Intersection(sets[i])
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}
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for _, e := range base.Elements() {
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fingerprint := e.(clientmodel.Fingerprint)
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fingerprints = append(fingerprints, &fingerprint)
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}
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return fingerprints, nil
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}
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func (s *memorySeriesStorage) GetFingerprintsForLabelName(l clientmodel.LabelName) (clientmodel.Fingerprints, error) {
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s.RLock()
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defer s.RUnlock()
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values, ok := s.labelNameToFingerprints[l]
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if !ok {
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return nil, nil
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}
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fingerprints := make(clientmodel.Fingerprints, len(values))
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copy(fingerprints, values)
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return fingerprints, nil
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}
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func (s *memorySeriesStorage) GetMetricForFingerprint(f *clientmodel.Fingerprint) (clientmodel.Metric, error) {
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s.RLock()
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defer s.RUnlock()
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series, ok := s.fingerprintToSeries[*f]
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if !ok {
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return nil, nil
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}
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metric := clientmodel.Metric{}
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for label, value := range series.metric() {
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metric[label] = value
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}
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return metric, nil
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}
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func (s *memorySeriesStorage) HasFingerprint(f *clientmodel.Fingerprint) bool {
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s.RLock()
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defer s.RUnlock()
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_, has := s.fingerprintToSeries[*f]
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return has
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}
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func (s *memorySeriesStorage) CloneSamples(f *clientmodel.Fingerprint) Values {
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s.RLock()
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defer s.RUnlock()
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series, ok := s.fingerprintToSeries[*f]
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if !ok {
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return nil
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}
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return series.clone()
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}
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func (s *memorySeriesStorage) GetValueAtTime(f *clientmodel.Fingerprint, t clientmodel.Timestamp) Values {
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s.RLock()
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defer s.RUnlock()
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series, ok := s.fingerprintToSeries[*f]
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if !ok {
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return nil
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}
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return series.getValueAtTime(t)
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}
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func (s *memorySeriesStorage) GetBoundaryValues(f *clientmodel.Fingerprint, i Interval) Values {
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s.RLock()
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defer s.RUnlock()
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series, ok := s.fingerprintToSeries[*f]
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if !ok {
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return nil
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}
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return series.getBoundaryValues(i)
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}
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func (s *memorySeriesStorage) GetRangeValues(f *clientmodel.Fingerprint, i Interval) Values {
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s.RLock()
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defer s.RUnlock()
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series, ok := s.fingerprintToSeries[*f]
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if !ok {
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return nil
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}
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return series.getRangeValues(i)
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}
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func (s *memorySeriesStorage) Close() {
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s.Lock()
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defer s.Unlock()
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s.fingerprintToSeries = map[clientmodel.Fingerprint]stream{}
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s.labelPairToFingerprints = map[LabelPair]clientmodel.Fingerprints{}
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s.labelNameToFingerprints = map[clientmodel.LabelName]clientmodel.Fingerprints{}
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}
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func (s *memorySeriesStorage) GetAllValuesForLabel(labelName clientmodel.LabelName) (values clientmodel.LabelValues, err error) {
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s.RLock()
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defer s.RUnlock()
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valueSet := map[clientmodel.LabelValue]bool{}
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for _, series := range s.fingerprintToSeries {
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if value, ok := series.metric()[labelName]; ok {
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if !valueSet[value] {
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values = append(values, value)
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valueSet[value] = true
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}
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}
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}
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return
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}
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// NewMemorySeriesStorage returns a memory series storage ready to use.
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func NewMemorySeriesStorage(o MemorySeriesOptions) *memorySeriesStorage {
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return &memorySeriesStorage{
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fingerprintToSeries: make(map[clientmodel.Fingerprint]stream),
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labelPairToFingerprints: make(map[LabelPair]clientmodel.Fingerprints),
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labelNameToFingerprints: make(map[clientmodel.LabelName]clientmodel.Fingerprints),
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wmCache: o.WatermarkCache,
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}
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}
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