mirror of
https://github.com/prometheus/prometheus
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5602328c7c
This copies the evaluation logic from the current rules/ package. The new engine handles the execution process from query string to final result. It provides query timeout and cancellation and general flexibility for future changes. functions.go: Add evaluation implementation. Slight changes to in/out data but not to the processing logic. quantile.go: No changes. analyzer.go: No changes. engine.go: Actually new part. Mainly consists of evaluation methods which were not changed. setup_test.go: Copy of rules/helpers_test.go to setup test storage. promql_test.go: Copy of rules/rules_test.go.
487 lines
14 KiB
Go
487 lines
14 KiB
Go
// Copyright 2013 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 promql
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import (
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"time"
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clientmodel "github.com/prometheus/client_golang/model"
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"github.com/prometheus/prometheus/storage/local"
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"github.com/prometheus/prometheus/storage/metric"
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)
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var testSampleInterval = time.Duration(5) * time.Minute
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var testStartTime = clientmodel.Timestamp(0)
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func getTestValueStream(startVal, endVal, stepVal clientmodel.SampleValue, startTime clientmodel.Timestamp) (resultValues metric.Values) {
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currentTime := startTime
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for currentVal := startVal; currentVal <= endVal; currentVal += stepVal {
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sample := metric.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 Matrix) Vector {
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vector := Vector{}
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for _, sampleStream := range matrix {
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lastSample := sampleStream.Values[len(sampleStream.Values)-1]
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vector = append(vector, &Sample{
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Metric: sampleStream.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 local.Storage, matrix Matrix) {
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pendingSamples := clientmodel.Samples{}
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for _, sampleStream := range matrix {
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for _, sample := range sampleStream.Values {
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pendingSamples = append(pendingSamples, &clientmodel.Sample{
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Metric: sampleStream.Metric.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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for _, s := range pendingSamples {
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storage.Append(s)
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}
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storage.WaitForIndexing()
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}
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var testVector = getTestVectorFromTestMatrix(testMatrix)
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var testMatrix = Matrix{
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "http_requests",
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clientmodel.JobLabel: "api-server",
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"instance": "0",
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"group": "production",
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},
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},
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Values: getTestValueStream(0, 100, 10, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "http_requests",
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clientmodel.JobLabel: "api-server",
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"instance": "1",
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"group": "production",
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},
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},
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Values: getTestValueStream(0, 200, 20, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "http_requests",
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clientmodel.JobLabel: "api-server",
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"instance": "0",
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"group": "canary",
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},
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},
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Values: getTestValueStream(0, 300, 30, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "http_requests",
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clientmodel.JobLabel: "api-server",
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"instance": "1",
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"group": "canary",
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},
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},
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Values: getTestValueStream(0, 400, 40, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "http_requests",
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clientmodel.JobLabel: "app-server",
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"instance": "0",
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"group": "production",
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},
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},
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Values: getTestValueStream(0, 500, 50, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "http_requests",
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clientmodel.JobLabel: "app-server",
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"instance": "1",
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"group": "production",
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},
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},
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Values: getTestValueStream(0, 600, 60, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "http_requests",
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clientmodel.JobLabel: "app-server",
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"instance": "0",
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"group": "canary",
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},
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},
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Values: getTestValueStream(0, 700, 70, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "http_requests",
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clientmodel.JobLabel: "app-server",
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"instance": "1",
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"group": "canary",
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},
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},
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Values: getTestValueStream(0, 800, 80, testStartTime),
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},
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// Single-letter metric and label names.
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "x",
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"y": "testvalue",
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},
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},
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Values: getTestValueStream(0, 100, 10, testStartTime),
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},
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// Counter reset in the middle of range.
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "testcounter_reset_middle",
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},
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},
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Values: append(getTestValueStream(0, 40, 10, testStartTime), getTestValueStream(0, 50, 10, testStartTime.Add(testSampleInterval*5))...),
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},
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// Counter reset at the end of range.
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "testcounter_reset_end",
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},
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},
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Values: append(getTestValueStream(0, 90, 10, testStartTime), getTestValueStream(0, 0, 10, testStartTime.Add(testSampleInterval*10))...),
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},
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// For label-key grouping regression test.
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "label_grouping_test",
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"a": "aa",
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"b": "bb",
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},
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},
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Values: getTestValueStream(0, 100, 10, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "label_grouping_test",
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"a": "a",
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"b": "abb",
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},
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},
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Values: getTestValueStream(0, 200, 20, testStartTime),
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},
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// Two histograms with 4 buckets each (*_sum and *_count not included,
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// only buckets). Lowest bucket for one histogram < 0, for the other >
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// 0. They have the same name, just separated by label. Not useful in
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// practice, but can happen (if clients change bucketing), and the
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// server has to cope with it.
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "testhistogram_bucket",
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"le": "0.1",
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"start": "positive",
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},
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},
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Values: getTestValueStream(0, 50, 5, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "testhistogram_bucket",
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"le": ".2",
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"start": "positive",
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},
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},
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Values: getTestValueStream(0, 70, 7, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "testhistogram_bucket",
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"le": "1e0",
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"start": "positive",
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},
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},
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Values: getTestValueStream(0, 110, 11, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "testhistogram_bucket",
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"le": "+Inf",
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"start": "positive",
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},
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},
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Values: getTestValueStream(0, 120, 12, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "testhistogram_bucket",
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"le": "-.2",
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"start": "negative",
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},
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},
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Values: getTestValueStream(0, 10, 1, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "testhistogram_bucket",
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"le": "-0.1",
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"start": "negative",
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},
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},
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Values: getTestValueStream(0, 20, 2, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "testhistogram_bucket",
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"le": "0.3",
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"start": "negative",
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},
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},
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Values: getTestValueStream(0, 20, 2, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "testhistogram_bucket",
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"le": "+Inf",
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"start": "negative",
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},
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},
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Values: getTestValueStream(0, 30, 3, testStartTime),
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},
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// Now a more realistic histogram per job and instance to test aggregation.
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "request_duration_seconds_bucket",
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clientmodel.JobLabel: "job1",
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"instance": "ins1",
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"le": "0.1",
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},
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},
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Values: getTestValueStream(0, 10, 1, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "request_duration_seconds_bucket",
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clientmodel.JobLabel: "job1",
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"instance": "ins1",
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"le": "0.2",
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},
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},
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Values: getTestValueStream(0, 30, 3, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "request_duration_seconds_bucket",
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clientmodel.JobLabel: "job1",
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"instance": "ins1",
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"le": "+Inf",
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},
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},
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Values: getTestValueStream(0, 40, 4, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "request_duration_seconds_bucket",
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clientmodel.JobLabel: "job1",
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"instance": "ins2",
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"le": "0.1",
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},
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},
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Values: getTestValueStream(0, 20, 2, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "request_duration_seconds_bucket",
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clientmodel.JobLabel: "job1",
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"instance": "ins2",
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"le": "0.2",
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},
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},
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Values: getTestValueStream(0, 50, 5, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "request_duration_seconds_bucket",
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clientmodel.JobLabel: "job1",
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"instance": "ins2",
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"le": "+Inf",
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},
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},
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Values: getTestValueStream(0, 60, 6, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "request_duration_seconds_bucket",
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clientmodel.JobLabel: "job2",
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"instance": "ins1",
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"le": "0.1",
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},
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},
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Values: getTestValueStream(0, 30, 3, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "request_duration_seconds_bucket",
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clientmodel.JobLabel: "job2",
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"instance": "ins1",
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"le": "0.2",
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},
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},
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Values: getTestValueStream(0, 40, 4, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "request_duration_seconds_bucket",
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clientmodel.JobLabel: "job2",
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"instance": "ins1",
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"le": "+Inf",
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},
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},
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Values: getTestValueStream(0, 60, 6, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "request_duration_seconds_bucket",
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clientmodel.JobLabel: "job2",
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"instance": "ins2",
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"le": "0.1",
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},
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},
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Values: getTestValueStream(0, 40, 4, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "request_duration_seconds_bucket",
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clientmodel.JobLabel: "job2",
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"instance": "ins2",
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"le": "0.2",
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},
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},
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Values: getTestValueStream(0, 70, 7, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "request_duration_seconds_bucket",
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clientmodel.JobLabel: "job2",
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"instance": "ins2",
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"le": "+Inf",
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},
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},
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Values: getTestValueStream(0, 90, 9, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "vector_matching_a",
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"l": "x",
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},
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},
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Values: getTestValueStream(0, 100, 1, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "vector_matching_a",
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"l": "y",
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},
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},
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Values: getTestValueStream(0, 100, 2, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "vector_matching_b",
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"l": "x",
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},
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},
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Values: getTestValueStream(0, 100, 4, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "cpu_count",
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"instance": "0",
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"type": "numa",
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},
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},
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Values: getTestValueStream(0, 500, 30, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "cpu_count",
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"instance": "0",
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"type": "smp",
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},
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},
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Values: getTestValueStream(0, 200, 10, testStartTime),
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},
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{
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Metric: clientmodel.COWMetric{
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Metric: clientmodel.Metric{
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clientmodel.MetricNameLabel: "cpu_count",
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"instance": "1",
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"type": "smp",
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},
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},
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Values: getTestValueStream(0, 200, 20, testStartTime),
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},
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}
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