mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
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app/vmctl: integration test for native protocol (#3947)
* app/vmctl: integration test for native protocol * app/vmctl: implemented two integration tests * app/vmctl: cleanup * app/vmctl: split storage init and filling data logic * app/vmctl: cleanup * app/vmctl: remove storage from server, used initialization process * app/vmctl: prepare for parallel run, code cleanup * app/vmctl: code cleanup * app/vmctl: remove unused field
This commit is contained in:
Dmytro Kozlov
GitHub
parent
6f6333831e
commit
4d68f5b1fc
@ -2,39 +2,70 @@ package remote_read_integration
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import (
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"bufio"
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"encoding/json"
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"fmt"
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"log"
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"net/http"
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"net/http/httptest"
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"reflect"
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"sort"
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"strconv"
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"testing"
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"time"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmctl/vm"
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"github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/prometheus"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/protoparser/common"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/protoparser/native/stream"
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parser "github.com/VictoriaMetrics/VictoriaMetrics/lib/protoparser/vmimport"
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)
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// LabelValues represents series from api/v1/series response
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type LabelValues map[string]string
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// Response represents response from api/v1/series
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type Response struct {
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Status string `json:"status"`
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Series []LabelValues `json:"data"`
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}
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// RemoteWriteServer represents fake remote write server with database
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type RemoteWriteServer struct {
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server *httptest.Server
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series []vm.TimeSeries
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expectedSeries []vm.TimeSeries
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}
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// NewRemoteWriteServer prepares test remote write server
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func NewRemoteWriteServer(t *testing.T) *RemoteWriteServer {
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rws := &RemoteWriteServer{series: make([]vm.TimeSeries, 0)}
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mux := http.NewServeMux()
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mux.Handle("/api/v1/import", rws.getWriteHandler(t))
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mux.Handle("/health", rws.handlePing())
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mux.Handle("/api/v1/series", rws.seriesHandler())
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mux.Handle("/api/v1/export/native", rws.exportNativeHandler())
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mux.Handle("/api/v1/import/native", rws.importNativeHandler(t))
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rws.server = httptest.NewServer(mux)
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return rws
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}
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// Close closes the server.
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// Close closes the server
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func (rws *RemoteWriteServer) Close() {
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rws.server.Close()
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}
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func (rws *RemoteWriteServer) ExpectedSeries(series []vm.TimeSeries) {
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// Series saves generated series for fake database
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func (rws *RemoteWriteServer) Series(series []vm.TimeSeries) {
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rws.series = append(rws.series, series...)
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}
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// ExpectedSeries saves expected results to check in the handler
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func (rws *RemoteWriteServer) ExpectedSeries(series []vm.TimeSeries) {
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rws.expectedSeries = append(rws.expectedSeries, series...)
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}
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// URL returns server url
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func (rws *RemoteWriteServer) URL() string {
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return rws.server.URL
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}
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@ -68,13 +99,14 @@ func (rws *RemoteWriteServer) getWriteHandler(t *testing.T) http.Handler {
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rows.Reset()
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}
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if !reflect.DeepEqual(tss, rws.series) {
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if !reflect.DeepEqual(tss, rws.expectedSeries) {
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w.WriteHeader(http.StatusInternalServerError)
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t.Fatalf("datasets not equal, expected: %#v; \n got: %#v", rws.series, tss)
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t.Fatalf("datasets not equal, expected: %#v; \n got: %#v", rws.expectedSeries, tss)
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return
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}
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w.WriteHeader(http.StatusNoContent)
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return
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})
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}
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@ -84,3 +116,146 @@ func (rws *RemoteWriteServer) handlePing() http.Handler {
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_, _ = w.Write([]byte("OK"))
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})
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}
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func (rws *RemoteWriteServer) seriesHandler() http.Handler {
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return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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var labelValues []LabelValues
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for _, ser := range rws.series {
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metricNames := make(LabelValues)
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if ser.Name != "" {
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metricNames["__name__"] = ser.Name
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}
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for _, p := range ser.LabelPairs {
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metricNames[p.Name] = p.Value
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}
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labelValues = append(labelValues, metricNames)
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}
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resp := Response{
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Status: "success",
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Series: labelValues,
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}
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err := json.NewEncoder(w).Encode(resp)
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if err != nil {
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log.Printf("error send series: %s", err)
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w.WriteHeader(http.StatusInternalServerError)
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return
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}
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})
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}
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func (rws *RemoteWriteServer) exportNativeHandler() http.Handler {
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return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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now := time.Now()
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err := prometheus.ExportNativeHandler(now, w, r)
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if err != nil {
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log.Printf("error export series via native protocol: %s", err)
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w.WriteHeader(http.StatusInternalServerError)
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return
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}
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w.WriteHeader(http.StatusNoContent)
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return
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})
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}
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func (rws *RemoteWriteServer) importNativeHandler(t *testing.T) http.Handler {
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return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
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common.StartUnmarshalWorkers()
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defer common.StopUnmarshalWorkers()
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var gotTimeSeries []vm.TimeSeries
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err := stream.Parse(r.Body, false, func(block *stream.Block) error {
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mn := &block.MetricName
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var timeseries vm.TimeSeries
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timeseries.Name = string(mn.MetricGroup)
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timeseries.Timestamps = append(timeseries.Timestamps, block.Timestamps...)
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timeseries.Values = append(timeseries.Values, block.Values...)
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for i := range mn.Tags {
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tag := &mn.Tags[i]
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timeseries.LabelPairs = append(timeseries.LabelPairs, vm.LabelPair{
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Name: string(tag.Key),
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Value: string(tag.Value),
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})
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}
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gotTimeSeries = append(gotTimeSeries, timeseries)
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return nil
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})
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if err != nil {
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log.Printf("error parse stream blocks: %s", err)
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w.WriteHeader(http.StatusInternalServerError)
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return
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}
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// got timeseries should be sorted
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// because they are processed independently
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sort.SliceStable(gotTimeSeries, func(i, j int) bool {
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iv, jv := gotTimeSeries[i], gotTimeSeries[j]
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switch {
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case iv.Values[0] != jv.Values[0]:
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return iv.Values[0] < jv.Values[0]
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case iv.Timestamps[0] != jv.Timestamps[0]:
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return iv.Timestamps[0] < jv.Timestamps[0]
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default:
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return iv.Name < jv.Name
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}
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})
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if !reflect.DeepEqual(gotTimeSeries, rws.expectedSeries) {
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w.WriteHeader(http.StatusInternalServerError)
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t.Fatalf("datasets not equal, expected: %#v;\n got: %#v", rws.expectedSeries, gotTimeSeries)
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}
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w.WriteHeader(http.StatusNoContent)
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return
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})
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}
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// GenerateVNSeries generates test timeseries
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func GenerateVNSeries(start, end, numOfSeries, numOfSamples int64) []vm.TimeSeries {
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var ts []vm.TimeSeries
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j := 0
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for i := 0; i < int(numOfSeries); i++ {
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if i%3 == 0 {
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j++
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}
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timeSeries := vm.TimeSeries{
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Name: fmt.Sprintf("vm_metric_%d", j),
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LabelPairs: []vm.LabelPair{
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{Name: "job", Value: strconv.Itoa(i)},
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},
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}
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ts = append(ts, timeSeries)
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}
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for i := range ts {
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t, v := generateTimeStampsAndValues(i, start, end, numOfSamples)
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ts[i].Timestamps = t
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ts[i].Values = v
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}
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return ts
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}
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func generateTimeStampsAndValues(idx int, startTime, endTime, numOfSamples int64) ([]int64, []float64) {
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delta := (endTime - startTime) / numOfSamples
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var timestamps []int64
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var values []float64
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t := startTime
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for t != endTime {
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v := 100 * int64(idx)
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timestamps = append(timestamps, t*1000)
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values = append(values, float64(v))
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t = t + delta
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}
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return timestamps, values
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}
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@ -2,118 +2,295 @@ 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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"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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// If you want to run this test:
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// 1. run two instances of victoriametrics and define -httpListenAddr for both or just for second instance
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// 2. define srcAddr and dstAddr const with your victoriametrics addresses
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// 3. define matchFilter const with your importing data
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// 4. define timeStartFilter
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// 5. run each test one by one
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const (
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matchFilter = `{job="avalanche"}`
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timeStartFilter = "2020-01-01T20:07:00Z"
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timeEndFilter = "2020-08-01T20:07:00Z"
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srcAddr = "http://127.0.0.1:8428"
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dstAddr = "http://127.0.0.1:8528"
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storagePath = "TestStorage"
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retentionPeriod = "100y"
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)
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// This test simulates close process if user abort it
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func Test_vmNativeProcessor_run(t *testing.T) {
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t.Skip()
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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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rateLimit int64
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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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closer func(cancelFunc context.CancelFunc)
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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: "simulate syscall.SIGINT",
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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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Match: matchFilter,
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TimeStart: timeStartFilter,
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},
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filter: native.Filter{},
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backoff: backoff.New(),
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rateLimit: 0,
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dst: &native.Client{
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Addr: dstAddr,
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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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src: &native.Client{
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Addr: srcAddr,
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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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},
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closer: func(cancelFunc context.CancelFunc) {
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time.Sleep(time.Second * 5)
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cancelFunc()
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},
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wantErr: true,
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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: "simulate correct work",
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fields: fields{
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filter: native.Filter{
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Match: matchFilter,
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TimeStart: timeStartFilter,
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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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rateLimit: 0,
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dst: &native.Client{
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Addr: dstAddr,
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},
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src: &native.Client{
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Addr: srcAddr,
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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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closer: func(cancelFunc context.CancelFunc) {},
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wantErr: false,
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},
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{
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name: "simulate correct work with chunking",
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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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Match: matchFilter,
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TimeStart: timeStartFilter,
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TimeEnd: timeEndFilter,
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Chunk: stepper.StepMonth,
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},
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filter: native.Filter{},
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backoff: backoff.New(),
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rateLimit: 0,
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dst: &native.Client{
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Addr: dstAddr,
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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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src: &native.Client{
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Addr: srcAddr,
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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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closer: func(cancelFunc context.CancelFunc) {},
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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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ctx, cancelFn := context.WithCancel(context.Background())
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p := &vmNativeProcessor{
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filter: tt.fields.filter,
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rateLimit: tt.fields.rateLimit,
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dst: tt.fields.dst,
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src: tt.fields.src,
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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 {
|
||||
t.Fatalf("Error parse start time: %s", err)
|
||||
}
|
||||
|
||||
tt.closer(cancelFn)
|
||||
end, err := time.Parse(time.RFC3339, tt.end)
|
||||
if err != nil {
|
||||
t.Fatalf("Error parse end time: %s", err)
|
||||
}
|
||||
|
||||
if err := p.run(ctx, true); (err != nil) != tt.wantErr {
|
||||
tt.fields.filter.Match = fmt.Sprintf("%s=%q", tt.fields.matchName, tt.fields.matchValue)
|
||||
tt.fields.filter.TimeStart = tt.start
|
||||
tt.fields.filter.TimeEnd = tt.end
|
||||
|
||||
rws := tt.vmSeries(start.Unix(), end.Unix(), tt.numOfSeries, tt.numOfSamples)
|
||||
|
||||
src.Series(rws)
|
||||
dst.ExpectedSeries(tt.expectedSeries)
|
||||
|
||||
if err := fillStorage(rws); err != nil {
|
||||
t.Fatalf("error add series to storage: %s", err)
|
||||
}
|
||||
|
||||
tt.fields.src = &native.Client{
|
||||
AuthCfg: nil,
|
||||
Addr: src.URL(),
|
||||
ExtraLabels: []string{},
|
||||
DisableHTTPKeepAlive: false,
|
||||
}
|
||||
tt.fields.dst = &native.Client{
|
||||
AuthCfg: nil,
|
||||
Addr: dst.URL(),
|
||||
ExtraLabels: []string{},
|
||||
DisableHTTPKeepAlive: false,
|
||||
}
|
||||
|
||||
p := &vmNativeProcessor{
|
||||
filter: tt.fields.filter,
|
||||
dst: tt.fields.dst,
|
||||
src: tt.fields.src,
|
||||
backoff: tt.fields.backoff,
|
||||
s: tt.fields.s,
|
||||
rateLimit: tt.fields.rateLimit,
|
||||
interCluster: tt.fields.interCluster,
|
||||
cc: tt.fields.cc,
|
||||
}
|
||||
|
||||
if err := p.run(tt.args.ctx, tt.args.silent); (err != nil) != tt.wantErr {
|
||||
t.Errorf("run() error = %v, wantErr %v", err, tt.wantErr)
|
||||
}
|
||||
deleted, err := deleteSeries(tt.fields.matchName, tt.fields.matchValue)
|
||||
if err != nil {
|
||||
t.Fatalf("error delete series: %s", err)
|
||||
}
|
||||
if int64(deleted) != tt.numOfSeries {
|
||||
t.Fatalf("expected deleted series %d; got deleted series %d", tt.numOfSeries, deleted)
|
||||
}
|
||||
})
|
||||
}
|
||||
}
|
||||
|
||||
func processFlags() {
|
||||
flag.Parse()
|
||||
for _, fv := range []struct {
|
||||
flag string
|
||||
value string
|
||||
}{
|
||||
{flag: "storageDataPath", value: storagePath},
|
||||
{flag: "retentionPeriod", value: retentionPeriod},
|
||||
} {
|
||||
// panics if flag doesn't exist
|
||||
if err := flag.Lookup(fv.flag).Value.Set(fv.value); err != nil {
|
||||
log.Fatalf("unable to set %q with value %q, err: %v", fv.flag, fv.value, err)
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
func fillStorage(series []vm.TimeSeries) error {
|
||||
var mrs []storage.MetricRow
|
||||
for _, series := range series {
|
||||
var labels []prompb.Label
|
||||
for _, lp := range series.LabelPairs {
|
||||
labels = append(labels, prompb.Label{Name: []byte(lp.Name), Value: []byte(lp.Value)})
|
||||
}
|
||||
if series.Name != "" {
|
||||
labels = append(labels, prompb.Label{Name: []byte("__name__"), Value: []byte(series.Name)})
|
||||
}
|
||||
mr := storage.MetricRow{}
|
||||
mr.MetricNameRaw = storage.MarshalMetricNameRaw(mr.MetricNameRaw[:0], labels)
|
||||
|
||||
timestamps := series.Timestamps
|
||||
values := series.Values
|
||||
for i, value := range values {
|
||||
mr.Timestamp = timestamps[i]
|
||||
mr.Value = value
|
||||
mrs = append(mrs, mr)
|
||||
}
|
||||
}
|
||||
|
||||
if err := vmstorage.AddRows(mrs); err != nil {
|
||||
return fmt.Errorf("unexpected error in AddRows: %s", err)
|
||||
}
|
||||
vmstorage.Storage.DebugFlush()
|
||||
return nil
|
||||
}
|
||||
|
||||
func deleteSeries(name, value string) (int, error) {
|
||||
tfs := storage.NewTagFilters()
|
||||
if err := tfs.Add([]byte(name), []byte(value), false, true); err != nil {
|
||||
return 0, fmt.Errorf("unexpected error in TagFilters.Add: %w", err)
|
||||
}
|
||||
return vmstorage.DeleteSeries(nil, []*storage.TagFilters{tfs})
|
||||
}
|
||||
|
||||
Loading…
Reference in New Issue
Block a user