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d2da21121c
This also short-circuits optimize() for now, since it is complex to implement for the new operator, and ops generated by the query layer already fulfill the needed invariants. We should still investigate later whether to completely delete operator optimization code or extend it to support getValueRangeAtIntervalOp operators.
154 lines
5.4 KiB
Go
154 lines
5.4 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 ast
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import (
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"log"
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"time"
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clientmodel "github.com/prometheus/client_golang/model"
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"github.com/prometheus/prometheus/stats"
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"github.com/prometheus/prometheus/storage/metric"
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)
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type FullRangeMap map[clientmodel.Fingerprint]time.Duration
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type IntervalRangeMap map[clientmodel.Fingerprint]bool
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type QueryAnalyzer struct {
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// Values collected by query analysis.
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//
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// Full ranges always implicitly span a time range of:
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// - start: query interval start - duration
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// - end: query interval end
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//
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// This is because full ranges can only result from matrix literals (like
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// "foo[5m]"), which have said time-spanning behavior during a ranged query.
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FullRanges FullRangeMap
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// Interval ranges always implicitly span the whole query interval.
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IntervalRanges IntervalRangeMap
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// The underlying storage to which the query will be applied. Needed for
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// extracting timeseries fingerprint information during query analysis.
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storage *metric.TieredStorage
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}
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func NewQueryAnalyzer(storage *metric.TieredStorage) *QueryAnalyzer {
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return &QueryAnalyzer{
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FullRanges: FullRangeMap{},
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IntervalRanges: IntervalRangeMap{},
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storage: storage,
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}
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}
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func (analyzer *QueryAnalyzer) Visit(node Node) {
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switch n := node.(type) {
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case *VectorLiteral:
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fingerprints, err := analyzer.storage.GetFingerprintsForLabelSet(n.labels)
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if err != nil {
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log.Printf("Error getting fingerprints for labelset %v: %v", n.labels, err)
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return
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}
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n.fingerprints = fingerprints
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for _, fingerprint := range fingerprints {
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if !analyzer.IntervalRanges[*fingerprint] {
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analyzer.IntervalRanges[*fingerprint] = true
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}
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}
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case *MatrixLiteral:
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fingerprints, err := analyzer.storage.GetFingerprintsForLabelSet(n.labels)
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if err != nil {
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log.Printf("Error getting fingerprints for labelset %v: %v", n.labels, err)
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return
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}
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n.fingerprints = fingerprints
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for _, fingerprint := range fingerprints {
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interval := n.interval
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// If an interval has already been recorded for this fingerprint, merge
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// it with the current interval.
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if oldInterval, ok := analyzer.FullRanges[*fingerprint]; ok {
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if oldInterval > interval {
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interval = oldInterval
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}
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}
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analyzer.FullRanges[*fingerprint] = interval
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}
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}
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}
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func (analyzer *QueryAnalyzer) AnalyzeQueries(node Node) {
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Walk(analyzer, node)
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// Find and dedupe overlaps between full and stepped ranges. Full ranges
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// always contain more points *and* span more time than stepped ranges, so
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// throw away stepped ranges for fingerprints which have full ranges.
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for fingerprint := range analyzer.FullRanges {
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if analyzer.IntervalRanges[fingerprint] {
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delete(analyzer.IntervalRanges, fingerprint)
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}
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}
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}
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func viewAdapterForInstantQuery(node Node, timestamp time.Time, storage *metric.TieredStorage, queryStats *stats.TimerGroup) (*viewAdapter, error) {
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analyzeTimer := queryStats.GetTimer(stats.QueryAnalysisTime).Start()
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analyzer := NewQueryAnalyzer(storage)
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analyzer.AnalyzeQueries(node)
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analyzeTimer.Stop()
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requestBuildTimer := queryStats.GetTimer(stats.ViewRequestBuildTime).Start()
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viewBuilder := metric.NewViewRequestBuilder()
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for fingerprint, rangeDuration := range analyzer.FullRanges {
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viewBuilder.GetMetricRange(&fingerprint, timestamp.Add(-rangeDuration), timestamp)
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}
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for fingerprint := range analyzer.IntervalRanges {
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viewBuilder.GetMetricAtTime(&fingerprint, timestamp)
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}
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requestBuildTimer.Stop()
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buildTimer := queryStats.GetTimer(stats.InnerViewBuildingTime).Start()
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view, err := analyzer.storage.MakeView(viewBuilder, time.Duration(60)*time.Second, queryStats)
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buildTimer.Stop()
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if err != nil {
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return nil, err
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}
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return NewViewAdapter(view, storage, queryStats), nil
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}
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func viewAdapterForRangeQuery(node Node, start time.Time, end time.Time, interval time.Duration, storage *metric.TieredStorage, queryStats *stats.TimerGroup) (*viewAdapter, error) {
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analyzeTimer := queryStats.GetTimer(stats.QueryAnalysisTime).Start()
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analyzer := NewQueryAnalyzer(storage)
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analyzer.AnalyzeQueries(node)
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analyzeTimer.Stop()
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requestBuildTimer := queryStats.GetTimer(stats.ViewRequestBuildTime).Start()
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viewBuilder := metric.NewViewRequestBuilder()
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for fingerprint, rangeDuration := range analyzer.FullRanges {
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if interval < rangeDuration {
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viewBuilder.GetMetricRange(&fingerprint, start.Add(-rangeDuration), end)
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} else {
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viewBuilder.GetMetricRangeAtInterval(&fingerprint, start.Add(-rangeDuration), end, interval, rangeDuration)
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}
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}
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for fingerprint := range analyzer.IntervalRanges {
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viewBuilder.GetMetricAtInterval(&fingerprint, start, end, interval)
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}
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requestBuildTimer.Stop()
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buildTimer := queryStats.GetTimer(stats.InnerViewBuildingTime).Start()
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view, err := analyzer.storage.MakeView(viewBuilder, time.Duration(60)*time.Second, queryStats)
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buildTimer.Stop()
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if err != nil {
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return nil, err
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}
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return NewViewAdapter(view, storage, queryStats), nil
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}
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