210 lines
7.1 KiB
Go
210 lines
7.1 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 extraction
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import (
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"fmt"
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"os"
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"path"
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"runtime"
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"sort"
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"testing"
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"time"
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"github.com/prometheus/client_golang/model"
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"github.com/prometheus/client_golang/test"
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)
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var test002Time = time.Now()
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type testProcessor002ProcessScenario struct {
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in string
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baseLabels model.LabelSet
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expected, actual []*Result
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err error
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}
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func (s *testProcessor002ProcessScenario) Ingest(r *Result) error {
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s.actual = append(s.actual, r)
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return nil
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}
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func (s *testProcessor002ProcessScenario) test(t test.Tester, set int) {
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reader, err := os.Open(path.Join("fixtures", s.in))
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if err != nil {
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t.Fatalf("%d. couldn't open scenario input file %s: %s", set, s.in, err)
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}
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options := &ProcessOptions{
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Timestamp: test002Time,
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BaseLabels: s.baseLabels,
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}
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if err := Processor002.ProcessSingle(reader, s, options); !test.ErrorEqual(s.err, err) {
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t.Fatalf("%d. expected err of %s, got %s", set, s.err, err)
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}
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if len(s.actual) != len(s.expected) {
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t.Fatalf("%d. expected output length of %d, got %d", set, len(s.expected), len(s.actual))
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}
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for i, expected := range s.expected {
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sort.Sort(s.actual[i].Samples)
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sort.Sort(expected.Samples)
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if !expected.equal(s.actual[i]) {
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t.Fatalf("%d.%d. expected %s, got %s", set, i, expected, s.actual[i])
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}
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}
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}
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func testProcessor002Process(t test.Tester) {
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var scenarios = []testProcessor002ProcessScenario{
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{
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in: "empty.json",
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err: fmt.Errorf("EOF"),
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},
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{
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in: "test0_0_1-0_0_2.json",
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baseLabels: model.LabelSet{
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model.JobLabel: "batch_exporter",
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},
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expected: []*Result{
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{
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Samples: model.Samples{
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&model.Sample{
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Metric: model.Metric{"service": "zed", model.MetricNameLabel: "rpc_calls_total", "job": "batch_job", "exporter_job": "batch_exporter"},
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Value: 25,
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Timestamp: test002Time,
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},
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&model.Sample{
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Metric: model.Metric{"service": "bar", model.MetricNameLabel: "rpc_calls_total", "job": "batch_job", "exporter_job": "batch_exporter"},
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Value: 25,
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Timestamp: test002Time,
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},
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&model.Sample{
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Metric: model.Metric{"service": "foo", model.MetricNameLabel: "rpc_calls_total", "job": "batch_job", "exporter_job": "batch_exporter"},
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Value: 25,
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Timestamp: test002Time,
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},
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&model.Sample{
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Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed", "job": "batch_exporter"},
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Value: 0.0459814091918713,
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Timestamp: test002Time,
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},
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&model.Sample{
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Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar", "job": "batch_exporter"},
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Value: 78.48563317257356,
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Timestamp: test002Time,
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},
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&model.Sample{
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Metric: model.Metric{"percentile": "0.010000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo", "job": "batch_exporter"},
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Value: 15.890724674774395,
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Timestamp: test002Time,
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},
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&model.Sample{
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Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed", "job": "batch_exporter"},
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Value: 0.0459814091918713,
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Timestamp: test002Time,
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},
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&model.Sample{
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Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar", "job": "batch_exporter"},
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Value: 78.48563317257356,
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Timestamp: test002Time,
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},
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&model.Sample{
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Metric: model.Metric{"percentile": "0.050000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo", "job": "batch_exporter"},
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Value: 15.890724674774395,
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Timestamp: test002Time,
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},
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&model.Sample{
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Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed", "job": "batch_exporter"},
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Value: 0.6120456642749681,
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Timestamp: test002Time,
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},
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&model.Sample{
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Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar", "job": "batch_exporter"},
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Value: 97.31798360385088,
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Timestamp: test002Time,
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},
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&model.Sample{
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Metric: model.Metric{"percentile": "0.500000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo", "job": "batch_exporter"},
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Value: 84.63044031436561,
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Timestamp: test002Time,
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},
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&model.Sample{
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Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed", "job": "batch_exporter"},
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Value: 1.355915069887731,
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Timestamp: test002Time,
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},
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&model.Sample{
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Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar", "job": "batch_exporter"},
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Value: 109.89202084295582,
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Timestamp: test002Time,
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},
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&model.Sample{
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Metric: model.Metric{"percentile": "0.900000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo", "job": "batch_exporter"},
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Value: 160.21100853053224,
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Timestamp: test002Time,
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},
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&model.Sample{
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Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "zed", "job": "batch_exporter"},
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Value: 1.772733213161236,
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Timestamp: test002Time,
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},
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&model.Sample{
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Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "bar", "job": "batch_exporter"},
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Value: 109.99626121011262,
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Timestamp: test002Time,
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},
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&model.Sample{
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Metric: model.Metric{"percentile": "0.990000", model.MetricNameLabel: "rpc_latency_microseconds", "service": "foo", "job": "batch_exporter"},
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Value: 172.49828748957728,
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Timestamp: test002Time,
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},
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},
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},
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},
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},
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}
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for i, scenario := range scenarios {
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scenario.test(t, i)
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}
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}
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func TestProcessor002Process(t *testing.T) {
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testProcessor002Process(t)
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}
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func BenchmarkProcessor002Process(b *testing.B) {
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b.StopTimer()
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pre := runtime.MemStats{}
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runtime.ReadMemStats(&pre)
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b.StartTimer()
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for i := 0; i < b.N; i++ {
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testProcessor002Process(b)
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}
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post := runtime.MemStats{}
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runtime.ReadMemStats(&post)
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allocated := post.TotalAlloc - pre.TotalAlloc
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b.Logf("Allocated %d at %f per cycle with %d cycles.", allocated, float64(allocated)/float64(b.N), b.N)
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}
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