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449 lines
14 KiB
449 lines
14 KiB
// Copyright 2020 The Prometheus Authors
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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 tsdb
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import (
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"context"
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"errors"
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"slices"
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"sync"
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"unicode/utf8"
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"github.com/prometheus/client_golang/prometheus"
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"github.com/prometheus/prometheus/config"
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"github.com/prometheus/prometheus/model/exemplar"
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"github.com/prometheus/prometheus/model/labels"
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"github.com/prometheus/prometheus/storage"
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)
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const (
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// Indicates that there is no index entry for an exemplar.
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noExemplar = -1
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// Estimated number of exemplars per series, for sizing the index.
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estimatedExemplarsPerSeries = 16
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)
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type CircularExemplarStorage struct {
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lock sync.RWMutex
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exemplars []circularBufferEntry
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nextIndex int
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metrics *ExemplarMetrics
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// Map of series labels as a string to index entry, which points to the first
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// and last exemplar for the series in the exemplars circular buffer.
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index map[string]*indexEntry
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}
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type indexEntry struct {
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oldest int
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newest int
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seriesLabels labels.Labels
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}
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type circularBufferEntry struct {
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exemplar exemplar.Exemplar
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next int
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ref *indexEntry
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}
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type ExemplarMetrics struct {
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exemplarsAppended prometheus.Counter
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exemplarsInStorage prometheus.Gauge
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seriesWithExemplarsInStorage prometheus.Gauge
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lastExemplarsTs prometheus.Gauge
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maxExemplars prometheus.Gauge
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outOfOrderExemplars prometheus.Counter
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}
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func NewExemplarMetrics(reg prometheus.Registerer) *ExemplarMetrics {
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m := ExemplarMetrics{
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exemplarsAppended: prometheus.NewCounter(prometheus.CounterOpts{
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Name: "prometheus_tsdb_exemplar_exemplars_appended_total",
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Help: "Total number of appended exemplars.",
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}),
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exemplarsInStorage: prometheus.NewGauge(prometheus.GaugeOpts{
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Name: "prometheus_tsdb_exemplar_exemplars_in_storage",
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Help: "Number of exemplars currently in circular storage.",
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}),
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seriesWithExemplarsInStorage: prometheus.NewGauge(prometheus.GaugeOpts{
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Name: "prometheus_tsdb_exemplar_series_with_exemplars_in_storage",
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Help: "Number of series with exemplars currently in circular storage.",
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}),
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lastExemplarsTs: prometheus.NewGauge(prometheus.GaugeOpts{
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Name: "prometheus_tsdb_exemplar_last_exemplars_timestamp_seconds",
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Help: "The timestamp of the oldest exemplar stored in circular storage. Useful to check for what time" +
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"range the current exemplar buffer limit allows. This usually means the last timestamp" +
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"for all exemplars for a typical setup. This is not true though if one of the series timestamp is in future compared to rest series.",
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}),
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outOfOrderExemplars: prometheus.NewCounter(prometheus.CounterOpts{
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Name: "prometheus_tsdb_exemplar_out_of_order_exemplars_total",
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Help: "Total number of out of order exemplar ingestion failed attempts.",
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}),
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maxExemplars: prometheus.NewGauge(prometheus.GaugeOpts{
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Name: "prometheus_tsdb_exemplar_max_exemplars",
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Help: "Total number of exemplars the exemplar storage can store, resizeable.",
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}),
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}
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if reg != nil {
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reg.MustRegister(
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m.exemplarsAppended,
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m.exemplarsInStorage,
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m.seriesWithExemplarsInStorage,
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m.lastExemplarsTs,
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m.outOfOrderExemplars,
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m.maxExemplars,
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)
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}
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return &m
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}
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// NewCircularExemplarStorage creates a circular in memory exemplar storage.
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// If we assume the average case 95 bytes per exemplar we can fit 5651272 exemplars in
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// 1GB of extra memory, accounting for the fact that this is heap allocated space.
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// If len <= 0, then the exemplar storage is essentially a noop storage but can later be
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// resized to store exemplars.
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func NewCircularExemplarStorage(length int64, m *ExemplarMetrics) (ExemplarStorage, error) {
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if length < 0 {
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length = 0
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}
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c := &CircularExemplarStorage{
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exemplars: make([]circularBufferEntry, length),
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index: make(map[string]*indexEntry, length/estimatedExemplarsPerSeries),
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metrics: m,
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}
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c.metrics.maxExemplars.Set(float64(length))
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return c, nil
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}
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func (ce *CircularExemplarStorage) ApplyConfig(cfg *config.Config) error {
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ce.Resize(cfg.StorageConfig.ExemplarsConfig.MaxExemplars)
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return nil
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}
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func (ce *CircularExemplarStorage) Appender() *CircularExemplarStorage {
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return ce
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}
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func (ce *CircularExemplarStorage) ExemplarQuerier(_ context.Context) (storage.ExemplarQuerier, error) {
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return ce, nil
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}
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func (ce *CircularExemplarStorage) Querier(_ context.Context) (storage.ExemplarQuerier, error) {
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return ce, nil
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}
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// Select returns exemplars for a given set of label matchers.
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func (ce *CircularExemplarStorage) Select(start, end int64, matchers ...[]*labels.Matcher) ([]exemplar.QueryResult, error) {
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ret := make([]exemplar.QueryResult, 0)
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ce.lock.RLock()
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defer ce.lock.RUnlock()
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if len(ce.exemplars) == 0 {
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return ret, nil
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}
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// Loop through each index entry, which will point us to first/last exemplar for each series.
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for _, idx := range ce.index {
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var se exemplar.QueryResult
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e := ce.exemplars[idx.oldest]
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if e.exemplar.Ts > end || ce.exemplars[idx.newest].exemplar.Ts < start {
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continue
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}
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if !matchesSomeMatcherSet(idx.seriesLabels, matchers) {
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continue
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}
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se.SeriesLabels = idx.seriesLabels
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// Loop through all exemplars in the circular buffer for the current series.
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for e.exemplar.Ts <= end {
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if e.exemplar.Ts >= start {
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se.Exemplars = append(se.Exemplars, e.exemplar)
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}
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if e.next == noExemplar {
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break
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}
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e = ce.exemplars[e.next]
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}
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if len(se.Exemplars) > 0 {
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ret = append(ret, se)
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}
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}
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slices.SortFunc(ret, func(a, b exemplar.QueryResult) int {
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return labels.Compare(a.SeriesLabels, b.SeriesLabels)
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})
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return ret, nil
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}
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func matchesSomeMatcherSet(lbls labels.Labels, matchers [][]*labels.Matcher) bool {
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Outer:
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for _, ms := range matchers {
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for _, m := range ms {
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if !m.Matches(lbls.Get(m.Name)) {
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continue Outer
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}
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}
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return true
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}
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return false
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}
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func (ce *CircularExemplarStorage) ValidateExemplar(l labels.Labels, e exemplar.Exemplar) error {
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var buf [1024]byte
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seriesLabels := l.Bytes(buf[:])
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// TODO(bwplotka): This lock can lock all scrapers, there might high contention on this on scale.
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// Optimize by moving the lock to be per series (& benchmark it).
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ce.lock.RLock()
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defer ce.lock.RUnlock()
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return ce.validateExemplar(ce.index[string(seriesLabels)], e, false)
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}
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// Not thread safe. The appended parameters tells us whether this is an external validation, or internal
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// as a result of an AddExemplar call, in which case we should update any relevant metrics.
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func (ce *CircularExemplarStorage) validateExemplar(idx *indexEntry, e exemplar.Exemplar, appended bool) error {
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if len(ce.exemplars) == 0 {
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return storage.ErrExemplarsDisabled
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}
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// Exemplar label length does not include chars involved in text rendering such as quotes
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// equals sign, or commas. See definition of const ExemplarMaxLabelLength.
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labelSetLen := 0
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if err := e.Labels.Validate(func(l labels.Label) error {
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labelSetLen += utf8.RuneCountInString(l.Name)
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labelSetLen += utf8.RuneCountInString(l.Value)
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if labelSetLen > exemplar.ExemplarMaxLabelSetLength {
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return storage.ErrExemplarLabelLength
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}
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return nil
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}); err != nil {
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return err
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}
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if idx == nil {
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return nil
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}
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// Check for duplicate vs last stored exemplar for this series.
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// NB these are expected, and appending them is a no-op.
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// For floats and classic histograms, there is only 1 exemplar per series,
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// so this is sufficient. For native histograms with multiple exemplars per series,
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// we have another check below.
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newestExemplar := ce.exemplars[idx.newest].exemplar
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if newestExemplar.Equals(e) {
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return storage.ErrDuplicateExemplar
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}
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// Since during the scrape the exemplars are sorted first by timestamp, then value, then labels,
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// if any of these conditions are true, we know that the exemplar is either a duplicate
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// of a previous one (but not the most recent one as that is checked above) or out of order.
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// We now allow exemplars with duplicate timestamps as long as they have different values and/or labels
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// since that can happen for different buckets of a native histogram.
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// We do not distinguish between duplicates and out of order as iterating through the exemplars
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// to check for that would be expensive (versus just comparing with the most recent one) especially
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// since this is run under a lock, and not worth it as we just need to return an error so we do not
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// append the exemplar.
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if e.Ts < newestExemplar.Ts ||
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(e.Ts == newestExemplar.Ts && e.Value < newestExemplar.Value) ||
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(e.Ts == newestExemplar.Ts && e.Value == newestExemplar.Value && e.Labels.Hash() < newestExemplar.Labels.Hash()) {
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if appended {
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ce.metrics.outOfOrderExemplars.Inc()
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}
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return storage.ErrOutOfOrderExemplar
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}
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return nil
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}
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// Resize changes the size of exemplar buffer by allocating a new buffer and migrating data to it.
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// Exemplars are kept when possible. Shrinking will discard oldest data (in order of ingest) as needed.
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func (ce *CircularExemplarStorage) Resize(l int64) int {
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// Accept negative values as just 0 size.
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if l <= 0 {
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l = 0
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}
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ce.lock.Lock()
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defer ce.lock.Unlock()
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if l == int64(len(ce.exemplars)) {
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return 0
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}
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oldBuffer := ce.exemplars
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oldNextIndex := int64(ce.nextIndex)
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ce.exemplars = make([]circularBufferEntry, l)
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ce.index = make(map[string]*indexEntry, l/estimatedExemplarsPerSeries)
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ce.nextIndex = 0
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// Replay as many entries as needed, starting with oldest first.
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count := int64(len(oldBuffer))
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if l < count {
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count = l
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}
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migrated := 0
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if l > 0 && len(oldBuffer) > 0 {
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// Rewind previous next index by count with wrap-around.
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// This math is essentially looking at nextIndex, where we would write the next exemplar to,
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// and find the index in the old exemplar buffer that we should start migrating exemplars from.
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// This way we don't migrate exemplars that would just be overwritten when migrating later exemplars.
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startIndex := (oldNextIndex - count + int64(len(oldBuffer))) % int64(len(oldBuffer))
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var buf [1024]byte
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for i := int64(0); i < count; i++ {
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idx := (startIndex + i) % int64(len(oldBuffer))
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if oldBuffer[idx].ref != nil {
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ce.migrate(&oldBuffer[idx], buf[:])
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migrated++
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}
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}
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}
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ce.computeMetrics()
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ce.metrics.maxExemplars.Set(float64(l))
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return migrated
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}
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// migrate is like AddExemplar but reuses existing structs. Expected to be called in batch and requires
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// external lock and does not compute metrics.
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func (ce *CircularExemplarStorage) migrate(entry *circularBufferEntry, buf []byte) {
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seriesLabels := entry.ref.seriesLabels.Bytes(buf[:0])
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idx, ok := ce.index[string(seriesLabels)]
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if !ok {
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idx = entry.ref
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idx.oldest = ce.nextIndex
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ce.index[string(seriesLabels)] = idx
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} else {
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entry.ref = idx
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ce.exemplars[idx.newest].next = ce.nextIndex
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}
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idx.newest = ce.nextIndex
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entry.next = noExemplar
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ce.exemplars[ce.nextIndex] = *entry
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ce.nextIndex = (ce.nextIndex + 1) % len(ce.exemplars)
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}
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func (ce *CircularExemplarStorage) AddExemplar(l labels.Labels, e exemplar.Exemplar) error {
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// TODO(bwplotka): This lock can lock all scrapers, there might high contention on this on scale.
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// Optimize by moving the lock to be per series (& benchmark it).
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ce.lock.Lock()
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defer ce.lock.Unlock()
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if len(ce.exemplars) == 0 {
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return storage.ErrExemplarsDisabled
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}
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var buf [1024]byte
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seriesLabels := l.Bytes(buf[:])
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idx, ok := ce.index[string(seriesLabels)]
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err := ce.validateExemplar(idx, e, true)
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if err != nil {
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if errors.Is(err, storage.ErrDuplicateExemplar) {
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// Duplicate exemplar, noop.
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return nil
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}
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return err
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}
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if !ok {
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idx = &indexEntry{oldest: ce.nextIndex, seriesLabels: l}
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ce.index[string(seriesLabels)] = idx
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} else {
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ce.exemplars[idx.newest].next = ce.nextIndex
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}
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if prev := &ce.exemplars[ce.nextIndex]; prev.ref != nil {
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// There exists an exemplar already on this ce.nextIndex entry,
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// drop it, to make place for others.
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if prev.next == noExemplar {
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// Last item for this series, remove index entry.
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var buf [1024]byte
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prevLabels := prev.ref.seriesLabels.Bytes(buf[:])
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delete(ce.index, string(prevLabels))
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} else {
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prev.ref.oldest = prev.next
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}
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}
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// Default the next value to -1 (which we use to detect that we've iterated through all exemplars for a series in Select)
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// since this is the first exemplar stored for this series.
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ce.exemplars[ce.nextIndex].next = noExemplar
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ce.exemplars[ce.nextIndex].exemplar = e
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ce.exemplars[ce.nextIndex].ref = idx
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idx.newest = ce.nextIndex
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ce.nextIndex = (ce.nextIndex + 1) % len(ce.exemplars)
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ce.metrics.exemplarsAppended.Inc()
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ce.computeMetrics()
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return nil
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}
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func (ce *CircularExemplarStorage) computeMetrics() {
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ce.metrics.seriesWithExemplarsInStorage.Set(float64(len(ce.index)))
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if len(ce.exemplars) == 0 {
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ce.metrics.exemplarsInStorage.Set(float64(0))
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ce.metrics.lastExemplarsTs.Set(float64(0))
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return
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}
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if ce.exemplars[ce.nextIndex].ref != nil {
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ce.metrics.exemplarsInStorage.Set(float64(len(ce.exemplars)))
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ce.metrics.lastExemplarsTs.Set(float64(ce.exemplars[ce.nextIndex].exemplar.Ts) / 1000)
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return
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}
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// We did not yet fill the buffer.
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ce.metrics.exemplarsInStorage.Set(float64(ce.nextIndex))
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if ce.exemplars[0].ref != nil {
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ce.metrics.lastExemplarsTs.Set(float64(ce.exemplars[0].exemplar.Ts) / 1000)
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}
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}
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// IterateExemplars iterates through all the exemplars from oldest to newest appended and calls
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// the given function on all of them till the end (or) till the first function call that returns an error.
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func (ce *CircularExemplarStorage) IterateExemplars(f func(seriesLabels labels.Labels, e exemplar.Exemplar) error) error {
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ce.lock.RLock()
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defer ce.lock.RUnlock()
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idx := ce.nextIndex
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l := len(ce.exemplars)
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for i := 0; i < l; i, idx = i+1, (idx+1)%l {
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if ce.exemplars[idx].ref == nil {
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continue
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}
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err := f(ce.exemplars[idx].ref.seriesLabels, ce.exemplars[idx].exemplar)
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if err != nil {
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return err
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}
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}
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return nil
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}
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