mirror of
https://github.com/prometheus/prometheus.git
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161c8fbf9b
This commit extracts the model.Values truncation behavior into the actual tiered storage, which uses it and behaves in a peculiar way—notably the retention of previous elements if the chunk were to ever go empty. This is done to enable interpolation between sparse sample values in the evaluation cycle. Nothing necessarily new here—just an extraction. Now, the model.Values TruncateBefore functionality would do what a user would expect without any surprises, which is required for the DeletionProcessor, which may decide to split a large chunk in two if it determines that the chunk contains the cut-off time.
153 lines
4.1 KiB
Go
153 lines
4.1 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 rules
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import (
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"github.com/prometheus/prometheus/model"
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"github.com/prometheus/prometheus/rules/ast"
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"github.com/prometheus/prometheus/storage/metric"
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"time"
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)
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var testSampleInterval = time.Duration(5) * time.Minute
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var testStartTime = time.Time{}
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func getTestValueStream(startVal model.SampleValue,
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endVal model.SampleValue,
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stepVal model.SampleValue) (resultValues model.Values) {
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currentTime := testStartTime
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for currentVal := startVal; currentVal <= endVal; currentVal += stepVal {
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sample := model.SamplePair{
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Value: currentVal,
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Timestamp: currentTime,
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}
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resultValues = append(resultValues, sample)
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currentTime = currentTime.Add(testSampleInterval)
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}
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return resultValues
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}
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func getTestVectorFromTestMatrix(matrix ast.Matrix) ast.Vector {
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vector := ast.Vector{}
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for _, sampleSet := range matrix {
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lastSample := sampleSet.Values[len(sampleSet.Values)-1]
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vector = append(vector, model.Sample{
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Metric: sampleSet.Metric,
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Value: lastSample.Value,
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Timestamp: lastSample.Timestamp,
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})
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}
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return vector
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}
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func storeMatrix(storage metric.TieredStorage, matrix ast.Matrix) (err error) {
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pendingSamples := model.Samples{}
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for _, sampleSet := range matrix {
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for _, sample := range sampleSet.Values {
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pendingSamples = append(pendingSamples, model.Sample{
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Metric: sampleSet.Metric,
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Value: sample.Value,
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Timestamp: sample.Timestamp,
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})
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}
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}
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err = storage.AppendSamples(pendingSamples)
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return
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}
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var testMatrix = ast.Matrix{
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{
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Metric: model.Metric{
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model.MetricNameLabel: "http_requests",
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model.JobLabel: "api-server",
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"instance": "0",
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"group": "production",
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},
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Values: getTestValueStream(0, 100, 10),
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},
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{
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Metric: model.Metric{
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model.MetricNameLabel: "http_requests",
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model.JobLabel: "api-server",
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"instance": "1",
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"group": "production",
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},
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Values: getTestValueStream(0, 200, 20),
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},
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{
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Metric: model.Metric{
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model.MetricNameLabel: "http_requests",
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model.JobLabel: "api-server",
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"instance": "0",
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"group": "canary",
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},
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Values: getTestValueStream(0, 300, 30),
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},
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{
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Metric: model.Metric{
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model.MetricNameLabel: "http_requests",
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model.JobLabel: "api-server",
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"instance": "1",
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"group": "canary",
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},
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Values: getTestValueStream(0, 400, 40),
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},
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{
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Metric: model.Metric{
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model.MetricNameLabel: "http_requests",
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model.JobLabel: "app-server",
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"instance": "0",
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"group": "production",
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},
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Values: getTestValueStream(0, 500, 50),
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},
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{
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Metric: model.Metric{
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model.MetricNameLabel: "http_requests",
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model.JobLabel: "app-server",
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"instance": "1",
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"group": "production",
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},
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Values: getTestValueStream(0, 600, 60),
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},
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{
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Metric: model.Metric{
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model.MetricNameLabel: "http_requests",
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model.JobLabel: "app-server",
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"instance": "0",
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"group": "canary",
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},
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Values: getTestValueStream(0, 700, 70),
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},
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{
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Metric: model.Metric{
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model.MetricNameLabel: "http_requests",
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model.JobLabel: "app-server",
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"instance": "1",
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"group": "canary",
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},
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Values: getTestValueStream(0, 800, 80),
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},
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// Single-letter metric and label names.
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{
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Metric: model.Metric{
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model.MetricNameLabel: "x",
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"y": "testvalue",
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},
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Values: getTestValueStream(0, 100, 10),
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},
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}
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var testVector = getTestVectorFromTestMatrix(testMatrix)
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