mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-12-24 11:20:18 +01:00
399 lines
11 KiB
Go
399 lines
11 KiB
Go
package main
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import (
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"context"
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"flag"
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"fmt"
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"log"
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"net/http"
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"os"
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"testing"
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"time"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl/backoff"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl/native"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl/stepper"
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remote_read_integration "github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl/testdata/servers_integration_test"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl/vm"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/promql"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmstorage"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/prompb"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/storage"
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)
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const (
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storagePath = "TestStorage"
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retentionPeriod = "100y"
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)
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func Test_vmNativeProcessor_run(t *testing.T) {
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processFlags()
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vmstorage.Init(promql.ResetRollupResultCacheIfNeeded)
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defer func() {
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vmstorage.Stop()
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if err := os.RemoveAll(storagePath); err != nil {
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log.Fatalf("cannot remove %q: %s", storagePath, err)
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}
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}()
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type fields struct {
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filter native.Filter
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dst *native.Client
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src *native.Client
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backoff *backoff.Backoff
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s *stats
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rateLimit int64
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interCluster bool
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cc int
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matchName string
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matchValue string
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}
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type args struct {
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ctx context.Context
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silent bool
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}
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tests := []struct {
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name string
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fields fields
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args args
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vmSeries func(start, end, numOfSeries, numOfSamples int64) []vm.TimeSeries
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expectedSeries []vm.TimeSeries
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start string
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end string
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numOfSamples int64
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numOfSeries int64
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chunk string
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wantErr bool
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}{
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{
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name: "step minute on minute time range",
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start: "2022-11-25T11:23:05+02:00",
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end: "2022-11-27T11:24:05+02:00",
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numOfSamples: 2,
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numOfSeries: 3,
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chunk: stepper.StepMinute,
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fields: fields{
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filter: native.Filter{},
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backoff: backoff.New(),
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rateLimit: 0,
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interCluster: false,
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cc: 1,
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matchName: "__name__",
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matchValue: ".*",
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},
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args: args{
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ctx: context.Background(),
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silent: true,
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},
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vmSeries: remote_read_integration.GenerateVNSeries,
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expectedSeries: []vm.TimeSeries{
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{
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Name: "vm_metric_1",
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LabelPairs: []vm.LabelPair{{Name: "job", Value: "0"}},
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Timestamps: []int64{1669368185000, 1669454615000},
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Values: []float64{0, 0},
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},
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{
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Name: "vm_metric_1",
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LabelPairs: []vm.LabelPair{{Name: "job", Value: "1"}},
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Timestamps: []int64{1669368185000, 1669454615000},
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Values: []float64{100, 100},
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},
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{
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Name: "vm_metric_1",
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LabelPairs: []vm.LabelPair{{Name: "job", Value: "2"}},
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Timestamps: []int64{1669368185000, 1669454615000},
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Values: []float64{200, 200},
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},
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},
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wantErr: false,
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},
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{
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name: "step month on month time range",
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start: "2022-09-26T11:23:05+02:00",
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end: "2022-11-26T11:24:05+02:00",
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numOfSamples: 2,
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numOfSeries: 3,
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chunk: stepper.StepMonth,
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fields: fields{
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filter: native.Filter{},
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backoff: backoff.New(),
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rateLimit: 0,
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interCluster: false,
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cc: 1,
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matchName: "__name__",
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matchValue: ".*",
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},
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args: args{
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ctx: context.Background(),
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silent: true,
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},
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vmSeries: remote_read_integration.GenerateVNSeries,
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expectedSeries: []vm.TimeSeries{
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{
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Name: "vm_metric_1",
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LabelPairs: []vm.LabelPair{{Name: "job", Value: "0"}},
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Timestamps: []int64{1664184185000},
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Values: []float64{0},
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},
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{
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Name: "vm_metric_1",
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LabelPairs: []vm.LabelPair{{Name: "job", Value: "0"}},
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Timestamps: []int64{1666819415000},
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Values: []float64{0},
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},
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{
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Name: "vm_metric_1",
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LabelPairs: []vm.LabelPair{{Name: "job", Value: "1"}},
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Timestamps: []int64{1664184185000},
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Values: []float64{100},
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},
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{
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Name: "vm_metric_1",
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LabelPairs: []vm.LabelPair{{Name: "job", Value: "1"}},
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Timestamps: []int64{1666819415000},
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Values: []float64{100},
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},
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{
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Name: "vm_metric_1",
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LabelPairs: []vm.LabelPair{{Name: "job", Value: "2"}},
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Timestamps: []int64{1664184185000},
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Values: []float64{200},
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},
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{
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Name: "vm_metric_1",
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LabelPairs: []vm.LabelPair{{Name: "job", Value: "2"}},
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Timestamps: []int64{1666819415000},
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Values: []float64{200},
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},
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},
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wantErr: false,
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},
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}
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for _, tt := range tests {
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t.Run(tt.name, func(t *testing.T) {
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src := remote_read_integration.NewRemoteWriteServer(t)
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dst := remote_read_integration.NewRemoteWriteServer(t)
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defer func() {
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src.Close()
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dst.Close()
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}()
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start, err := time.Parse(time.RFC3339, tt.start)
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if err != nil {
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t.Fatalf("Error parse start time: %s", err)
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}
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end, err := time.Parse(time.RFC3339, tt.end)
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if err != nil {
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t.Fatalf("Error parse end time: %s", err)
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}
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tt.fields.filter.Match = fmt.Sprintf("{%s=~%q}", tt.fields.matchName, tt.fields.matchValue)
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tt.fields.filter.TimeStart = tt.start
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tt.fields.filter.TimeEnd = tt.end
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rws := tt.vmSeries(start.Unix(), end.Unix(), tt.numOfSeries, tt.numOfSamples)
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src.Series(rws)
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dst.ExpectedSeries(tt.expectedSeries)
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if err := fillStorage(rws); err != nil {
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t.Fatalf("error add series to storage: %s", err)
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}
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tt.fields.src = &native.Client{
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AuthCfg: nil,
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Addr: src.URL(),
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ExtraLabels: []string{},
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HTTPClient: &http.Client{Transport: &http.Transport{DisableKeepAlives: false}},
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}
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tt.fields.dst = &native.Client{
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AuthCfg: nil,
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Addr: dst.URL(),
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ExtraLabels: []string{},
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HTTPClient: &http.Client{Transport: &http.Transport{DisableKeepAlives: false}},
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}
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p := &vmNativeProcessor{
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filter: tt.fields.filter,
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dst: tt.fields.dst,
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src: tt.fields.src,
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backoff: tt.fields.backoff,
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s: tt.fields.s,
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rateLimit: tt.fields.rateLimit,
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interCluster: tt.fields.interCluster,
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cc: tt.fields.cc,
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isSilent: tt.args.silent,
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isNative: true,
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}
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if err := p.run(tt.args.ctx); (err != nil) != tt.wantErr {
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t.Errorf("run() error = %v, wantErr %v", err, tt.wantErr)
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}
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deleted, err := deleteSeries(tt.fields.matchName, tt.fields.matchValue)
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if err != nil {
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t.Fatalf("error delete series: %s", err)
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}
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if int64(deleted) != tt.numOfSeries {
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t.Fatalf("expected deleted series %d; got deleted series %d", tt.numOfSeries, deleted)
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}
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})
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}
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}
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func processFlags() {
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flag.Parse()
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for _, fv := range []struct {
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flag string
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value string
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}{
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{flag: "storageDataPath", value: storagePath},
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{flag: "retentionPeriod", value: retentionPeriod},
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} {
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// panics if flag doesn't exist
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if err := flag.Lookup(fv.flag).Value.Set(fv.value); err != nil {
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log.Fatalf("unable to set %q with value %q, err: %v", fv.flag, fv.value, err)
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}
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}
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}
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func fillStorage(series []vm.TimeSeries) error {
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var mrs []storage.MetricRow
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for _, series := range series {
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var labels []prompb.Label
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for _, lp := range series.LabelPairs {
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labels = append(labels, prompb.Label{
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Name: lp.Name,
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Value: lp.Value,
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})
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}
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if series.Name != "" {
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labels = append(labels, prompb.Label{
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Name: "__name__",
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Value: series.Name,
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})
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}
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mr := storage.MetricRow{}
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mr.MetricNameRaw = storage.MarshalMetricNameRaw(mr.MetricNameRaw[:0], labels)
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timestamps := series.Timestamps
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values := series.Values
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for i, value := range values {
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mr.Timestamp = timestamps[i]
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mr.Value = value
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mrs = append(mrs, mr)
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}
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}
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if err := vmstorage.AddRows(mrs); err != nil {
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return fmt.Errorf("unexpected error in AddRows: %s", err)
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}
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vmstorage.Storage.DebugFlush()
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return nil
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}
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func deleteSeries(name, value string) (int, error) {
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tfs := storage.NewTagFilters()
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if err := tfs.Add([]byte(name), []byte(value), false, true); err != nil {
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return 0, fmt.Errorf("unexpected error in TagFilters.Add: %w", err)
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}
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return vmstorage.DeleteSeries(nil, []*storage.TagFilters{tfs})
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}
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func Test_buildMatchWithFilter(t *testing.T) {
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tests := []struct {
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name string
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filter string
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metricName string
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want string
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wantErr bool
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}{
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{
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name: "parsed metric with label",
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filter: `{__name__="http_request_count_total",cluster="kube1"}`,
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metricName: "http_request_count_total",
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want: `{cluster="kube1",__name__="http_request_count_total"}`,
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wantErr: false,
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},
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{
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name: "metric name with label",
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filter: `http_request_count_total{cluster="kube1"}`,
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metricName: "http_request_count_total",
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want: `{cluster="kube1",__name__="http_request_count_total"}`,
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wantErr: false,
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},
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{
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name: "parsed metric with regexp value",
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filter: `{__name__="http_request_count_total",cluster=~"kube.*"}`,
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metricName: "http_request_count_total",
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want: `{cluster=~"kube.*",__name__="http_request_count_total"}`,
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wantErr: false,
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},
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{
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name: "only label with regexp",
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filter: `{cluster=~".*"}`,
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metricName: "http_request_count_total",
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want: `{cluster=~".*",__name__="http_request_count_total"}`,
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wantErr: false,
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},
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{
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name: "many labels in filter with regexp",
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filter: `{cluster=~".*",job!=""}`,
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metricName: "http_request_count_total",
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want: `{cluster=~".*",job!="",__name__="http_request_count_total"}`,
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wantErr: false,
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},
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{
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name: "match with error",
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filter: `{cluster~=".*"}`,
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metricName: "http_request_count_total",
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want: ``,
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wantErr: true,
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},
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{
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name: "all names",
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filter: `{__name__!=""}`,
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metricName: "http_request_count_total",
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want: `{__name__="http_request_count_total"}`,
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wantErr: false,
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},
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{
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name: "with many underscores labels",
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filter: `{__name__!="", __meta__!=""}`,
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metricName: "http_request_count_total",
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want: `{__meta__!="",__name__="http_request_count_total"}`,
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wantErr: false,
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},
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{
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name: "metric name has regexp",
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filter: `{__name__=~".*"}`,
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metricName: "http_request_count_total",
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want: `{__name__="http_request_count_total"}`,
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wantErr: false,
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},
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{
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name: "metric name has negative regexp",
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filter: `{__name__!~".*"}`,
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metricName: "http_request_count_total",
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want: `{__name__="http_request_count_total"}`,
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wantErr: false,
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},
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}
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for _, tt := range tests {
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t.Run(tt.name, func(t *testing.T) {
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got, err := buildMatchWithFilter(tt.filter, tt.metricName)
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if (err != nil) != tt.wantErr {
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t.Errorf("buildMatchWithFilter() error = %v, wantErr %v", err, tt.wantErr)
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return
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}
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if got != tt.want {
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t.Errorf("buildMatchWithFilter() got = %v, want %v", got, tt.want)
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}
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})
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}
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}
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