prometheus/rules/testdata.go
Matt T. Proud 161c8fbf9b Include deletion processor for long-tail values.
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.
2013-05-10 12:19:12 +02:00

153 lines
4.1 KiB
Go

// Copyright 2013 Prometheus Team
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
package rules
import (
"github.com/prometheus/prometheus/model"
"github.com/prometheus/prometheus/rules/ast"
"github.com/prometheus/prometheus/storage/metric"
"time"
)
var testSampleInterval = time.Duration(5) * time.Minute
var testStartTime = time.Time{}
func getTestValueStream(startVal model.SampleValue,
endVal model.SampleValue,
stepVal model.SampleValue) (resultValues model.Values) {
currentTime := testStartTime
for currentVal := startVal; currentVal <= endVal; currentVal += stepVal {
sample := model.SamplePair{
Value: currentVal,
Timestamp: currentTime,
}
resultValues = append(resultValues, sample)
currentTime = currentTime.Add(testSampleInterval)
}
return resultValues
}
func getTestVectorFromTestMatrix(matrix ast.Matrix) ast.Vector {
vector := ast.Vector{}
for _, sampleSet := range matrix {
lastSample := sampleSet.Values[len(sampleSet.Values)-1]
vector = append(vector, model.Sample{
Metric: sampleSet.Metric,
Value: lastSample.Value,
Timestamp: lastSample.Timestamp,
})
}
return vector
}
func storeMatrix(storage metric.TieredStorage, matrix ast.Matrix) (err error) {
pendingSamples := model.Samples{}
for _, sampleSet := range matrix {
for _, sample := range sampleSet.Values {
pendingSamples = append(pendingSamples, model.Sample{
Metric: sampleSet.Metric,
Value: sample.Value,
Timestamp: sample.Timestamp,
})
}
}
err = storage.AppendSamples(pendingSamples)
return
}
var testMatrix = ast.Matrix{
{
Metric: model.Metric{
model.MetricNameLabel: "http_requests",
model.JobLabel: "api-server",
"instance": "0",
"group": "production",
},
Values: getTestValueStream(0, 100, 10),
},
{
Metric: model.Metric{
model.MetricNameLabel: "http_requests",
model.JobLabel: "api-server",
"instance": "1",
"group": "production",
},
Values: getTestValueStream(0, 200, 20),
},
{
Metric: model.Metric{
model.MetricNameLabel: "http_requests",
model.JobLabel: "api-server",
"instance": "0",
"group": "canary",
},
Values: getTestValueStream(0, 300, 30),
},
{
Metric: model.Metric{
model.MetricNameLabel: "http_requests",
model.JobLabel: "api-server",
"instance": "1",
"group": "canary",
},
Values: getTestValueStream(0, 400, 40),
},
{
Metric: model.Metric{
model.MetricNameLabel: "http_requests",
model.JobLabel: "app-server",
"instance": "0",
"group": "production",
},
Values: getTestValueStream(0, 500, 50),
},
{
Metric: model.Metric{
model.MetricNameLabel: "http_requests",
model.JobLabel: "app-server",
"instance": "1",
"group": "production",
},
Values: getTestValueStream(0, 600, 60),
},
{
Metric: model.Metric{
model.MetricNameLabel: "http_requests",
model.JobLabel: "app-server",
"instance": "0",
"group": "canary",
},
Values: getTestValueStream(0, 700, 70),
},
{
Metric: model.Metric{
model.MetricNameLabel: "http_requests",
model.JobLabel: "app-server",
"instance": "1",
"group": "canary",
},
Values: getTestValueStream(0, 800, 80),
},
// Single-letter metric and label names.
{
Metric: model.Metric{
model.MetricNameLabel: "x",
"y": "testvalue",
},
Values: getTestValueStream(0, 100, 10),
},
}
var testVector = getTestVectorFromTestMatrix(testMatrix)