mirror of
https://github.com/VictoriaMetrics/VictoriaMetrics.git
synced 2024-12-15 00:13:30 +01:00
Adds query stats handler (#945)
* Adds query stat handler, for query and query_range api, victoriametrics tracks query execution time, stats are expored at /api/v1/status/queries endpoint with topN param https://github.com/VictoriaMetrics/VictoriaMetrics/issues/907 * fixed query stats bugs * improves queryStats tracker * improves query stat * small fix * fix tests * added more tests * fixes 386 tests * naming fixes * adds drop for outdated records
This commit is contained in:
parent
ca8919e8e1
commit
76d092c091
@ -274,6 +274,25 @@ func selectHandler(startTime time.Time, w http.ResponseWriter, r *http.Request,
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return true
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}
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return true
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case "prometheus/api/v1/status/queries/avg_duration":
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if err := prometheus.QueryStatsHandler(startTime, w, r, "avg_duration"); err != nil {
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sendPrometheusError(w, r, fmt.Errorf("cannot query status endpoint: %w", err))
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return true
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}
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return true
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case "prometheus/api/v1/status/queries/duration":
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if err := prometheus.QueryStatsHandler(startTime, w, r, "duration"); err != nil {
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sendPrometheusError(w, r, fmt.Errorf("cannot query status endpoint: %w", err))
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return true
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}
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return true
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case "prometheus/api/v1/status/queries/frequency":
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if err := prometheus.QueryStatsHandler(startTime, w, r, "frequency"); err != nil {
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sendPrometheusError(w, r, fmt.Errorf("cannot query status endpoint: %w", err))
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return true
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}
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return true
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case "prometheus/api/v1/status/tsdb":
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statusTSDBRequests.Inc()
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if err := prometheus.TSDBStatusHandler(startTime, at, w, r); err != nil {
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@ -1326,3 +1326,37 @@ func getLatencyOffsetMilliseconds() int64 {
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}
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return d
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}
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// QueryStatsHandler - returns statistics for queries executions with given aggregate func name.
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// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/907
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func QueryStatsHandler(startTime time.Time, w http.ResponseWriter, r *http.Request, aggregateBy string) error {
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if err := r.ParseForm(); err != nil {
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return fmt.Errorf("cannot parse form values: %w", err)
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}
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topN := 10
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topNStr := r.FormValue("topN")
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if len(topNStr) > 0 {
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n, err := strconv.Atoi(topNStr)
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if err != nil {
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return fmt.Errorf("cannot parse `topN` arg %q: %w", topNStr, err)
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}
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if n <= 0 {
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n = 1
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}
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if n > 1000 {
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n = 1000
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}
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topN = n
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}
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w.Header().Set("Content-Type", "application/json; charset=utf-8")
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bw := bufferedwriter.Get(w)
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defer bufferedwriter.Put(bw)
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promql.WriteQueryStatsResponse(bw, topN, aggregateBy)
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if err := bw.Flush(); err != nil {
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return err
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}
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queryStatsDuration.UpdateDuration(startTime)
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return nil
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}
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var queryStatsDuration = metrics.NewSummary(`vm_request_duration_seconds{path="/api/v1/status/queries"}`)
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@ -39,6 +39,13 @@ func Exec(ec *EvalConfig, q string, isFirstPointOnly bool) ([]netstorage.Result,
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}
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}()
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}
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if *maxQueryStatsTrackerItemsCount > 0 {
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start := time.Now()
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defer func() {
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tr := ec.End - ec.Start
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InsertQueryStat(q, tr, start, time.Since(start))
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}()
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}
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ec.validate()
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254
app/vmselect/promql/query_stats.go
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254
app/vmselect/promql/query_stats.go
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@ -0,0 +1,254 @@
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package promql
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import (
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"flag"
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"fmt"
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"io"
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"sort"
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"strings"
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"sync"
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"time"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
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"github.com/VictoriaMetrics/metrics"
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)
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var (
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maxQueryStatsRecordLifeTime = flag.Duration("search.MaxQueryStatsRecordLifeTime", 10*time.Minute, "Limits maximum lifetime for query stats record. With minimum 10 seconds")
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maxQueryStatsTrackerItemsCount = flag.Int("search.MaxQueryStatsItems", 1000, "Limits count for distinct query stat records, keyed by query name and query time range. "+
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"With Maximum 5000 records. Zero value disables query stats recording")
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)
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var (
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shrinkQueryStatsCalls = metrics.NewCounter(`vm_query_stats_shrink_calls_total`)
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globalQueryStatsTracker *queryStatsTracker
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gQSTOnce sync.Once
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)
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// InsertQueryStat - inserts query stats record to global query stats tracker
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// with given query name, query time-range, execution time and its duration.
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func InsertQueryStat(query string, tr int64, execTime time.Time, duration time.Duration) {
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gQSTOnce.Do(func() {
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initQueryStatsTracker()
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})
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globalQueryStatsTracker.insertQueryStat(query, tr, execTime, duration)
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}
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// WriteQueryStatsResponse - writes query stats to given writer in json format with given aggregate key.
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func WriteQueryStatsResponse(w io.Writer, topN int, aggregateBy string) {
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gQSTOnce.Do(func() {
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initQueryStatsTracker()
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})
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writeJSONQueryStats(w, globalQueryStatsTracker, topN, aggregateBy)
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}
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// queryStatsTracker - hold statistics for all queries,
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// query name and query range is a group key.
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type queryStatsTracker struct {
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maxQueryLogRecordTime time.Duration
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limit int
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queryStatsLocker sync.Mutex
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qs []queryStats
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}
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// queryStats - represent single query statistic.
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type queryStats struct {
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query string
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queryRange int64
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queryLastSeen int64
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queryStatRecords []queryStatRecord
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}
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// queryStatRecord - one record of query stat.
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type queryStatRecord struct {
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// end-start
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duration time.Duration
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// in seconds as unix_ts.
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execTime int64
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}
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func initQueryStatsTracker() {
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limit := *maxQueryStatsTrackerItemsCount
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if limit > 5000 {
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limit = 5000
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}
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qlt := *maxQueryStatsRecordLifeTime
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if qlt == 0 {
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qlt = time.Second * 10
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}
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logger.Infof("enabled query stats tracking, max records count: %d, max query record lifetime: %s", limit, qlt)
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qst := queryStatsTracker{
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limit: limit,
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maxQueryLogRecordTime: qlt,
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}
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go func() {
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for {
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time.Sleep(time.Second * 10)
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qst.dropOutdatedRecords()
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}
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}()
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globalQueryStatsTracker = &qst
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}
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func formatJSONQueryStats(queries []queryStats) string {
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var s strings.Builder
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for i, q := range queries {
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fmt.Fprintf(&s, `{"query": %q,`, q.query)
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fmt.Fprintf(&s, `"query_time_range": %q,`, time.Duration(q.queryRange*1e6))
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fmt.Fprintf(&s, `"cumalative_duration": %q,`, q.Duration())
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if len(q.queryStatRecords) > 0 {
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fmt.Fprintf(&s, `"avg_duration": %q,`, q.Duration()/time.Duration(len(q.queryStatRecords)))
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}
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fmt.Fprintf(&s, `"requests_count": "%d"`, len(q.queryStatRecords))
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s.WriteString(`}`)
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if i != len(queries)-1 {
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s.WriteString(`,`)
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}
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}
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return s.String()
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}
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func writeJSONQueryStats(w io.Writer, ql *queryStatsTracker, topN int, aggregateBy string) {
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fmt.Fprintf(w, `{"top_n": "%d",`, topN)
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fmt.Fprintf(w, `"stats_max_duration": %q,`, maxQueryStatsRecordLifeTime.String())
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fmt.Fprint(w, `"top": [`)
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switch aggregateBy {
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case "frequency":
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fmt.Fprint(w, formatJSONQueryStats(getTopNQueriesByRecordCount(ql, topN)))
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case "duration":
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fmt.Fprint(w, formatJSONQueryStats(getTopNQueriesByDuration(ql, topN)))
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case "avg_duration":
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fmt.Fprint(w, formatJSONQueryStats(getTopNQueriesByAvgDuration(ql, topN)))
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default:
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logger.Errorf("invalid aggregation key=%q, report bug", aggregateBy)
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fmt.Fprintf(w, `{"error": "invalid aggregateBy value=%s"}`, aggregateBy)
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}
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fmt.Fprint(w, `]`)
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fmt.Fprint(w, `}`)
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}
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// drops query stats records less then given time in seconds.
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// no need to sort
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// its added in chronological order.
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// must be called with mutex.
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func (qs *queryStats) dropOutDatedRecords(t int64) {
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// fast path
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// compare time with last elem.
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if len(qs.queryStatRecords) > 0 && qs.queryStatRecords[len(qs.queryStatRecords)-1].execTime < t {
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qs.queryStatRecords = qs.queryStatRecords[:0]
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return
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}
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// remove all elements by default.
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shrinkIndex := len(qs.queryStatRecords)
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for i, v := range qs.queryStatRecords {
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if t < v.execTime {
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shrinkIndex = i
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break
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}
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}
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if shrinkIndex > 0 {
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qs.queryStatRecords = qs.queryStatRecords[shrinkIndex:]
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}
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}
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// calculates cumulative duration for query.
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func (qs *queryStats) Duration() time.Duration {
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var cnt time.Duration
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for _, v := range qs.queryStatRecords {
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cnt += v.duration
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}
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return cnt
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}
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// must be called with mutex,
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// shrinks slice by the last added query with given shrinkSize.
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func (qst *queryStatsTracker) shrink(shrinkSize int) {
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if len(qst.qs) < shrinkSize {
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return
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}
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sort.Slice(qst.qs, func(i, j int) bool {
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return qst.qs[i].queryLastSeen < qst.qs[j].queryLastSeen
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})
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qst.qs = qst.qs[shrinkSize:]
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}
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// drop outdated keys.
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func (qst *queryStatsTracker) dropOutdatedRecords() {
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qst.queryStatsLocker.Lock()
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defer qst.queryStatsLocker.Unlock()
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t := time.Now().Add(-qst.maxQueryLogRecordTime).Unix()
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var i int
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for _, v := range qst.qs {
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v.dropOutDatedRecords(t)
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if len(v.queryStatRecords) > 0 {
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qst.qs[i] = v
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i++
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}
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}
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if i == len(qst.qs) {
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return
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}
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qst.qs = qst.qs[:i]
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}
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func (qst *queryStatsTracker) insertQueryStat(query string, tr int64, execTime time.Time, duration time.Duration) {
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qst.queryStatsLocker.Lock()
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defer qst.queryStatsLocker.Unlock()
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// shrink old queries.
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if len(qst.qs) > qst.limit {
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shrinkQueryStatsCalls.Inc()
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qst.shrink(1)
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}
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// add record to exist stats, keyed by query string and time-range.
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for i, v := range qst.qs {
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if v.query == query && v.queryRange == tr {
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v.queryLastSeen = execTime.Unix()
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v.queryStatRecords = append(v.queryStatRecords, queryStatRecord{execTime: execTime.Unix(), duration: duration})
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qst.qs[i] = v
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return
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}
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}
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qst.qs = append(qst.qs, queryStats{
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queryStatRecords: []queryStatRecord{{execTime: execTime.Unix(), duration: duration}},
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queryLastSeen: execTime.Unix(),
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query: query,
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queryRange: tr,
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})
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}
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func getTopNQueriesByAvgDuration(qst *queryStatsTracker, top int) []queryStats {
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return getTopNQueryStatsItemsWithFilter(qst, top, func(i, j int) bool {
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lenI := len(qst.qs[i].queryStatRecords)
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lenJ := len(qst.qs[j].queryStatRecords)
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if lenI == 0 || lenJ == 0 {
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return false
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}
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return qst.qs[i].Duration()/time.Duration(lenI) > qst.qs[j].Duration()/time.Duration(lenJ)
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})
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}
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func getTopNQueriesByRecordCount(qst *queryStatsTracker, top int) []queryStats {
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return getTopNQueryStatsItemsWithFilter(qst, top, func(i, j int) bool {
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return len(qst.qs[i].queryStatRecords) > len(qst.qs[j].queryStatRecords)
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})
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}
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func getTopNQueriesByDuration(qst *queryStatsTracker, top int) []queryStats {
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return getTopNQueryStatsItemsWithFilter(qst, top, func(i, j int) bool {
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return qst.qs[i].Duration() > qst.qs[j].Duration()
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})
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}
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func getTopNQueryStatsItemsWithFilter(qst *queryStatsTracker, top int, filterFunc func(i, j int) bool) []queryStats {
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qst.queryStatsLocker.Lock()
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defer qst.queryStatsLocker.Unlock()
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if top > len(qst.qs) {
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top = len(qst.qs)
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}
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sort.Slice(qst.qs, filterFunc)
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result := make([]queryStats, 0, top)
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result = append(result, qst.qs[:top]...)
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return result
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}
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144
app/vmselect/promql/query_stats_test.go
Normal file
144
app/vmselect/promql/query_stats_test.go
Normal file
@ -0,0 +1,144 @@
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package promql
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import (
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"fmt"
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"reflect"
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"strings"
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"testing"
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"time"
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)
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func TestQueryLoggerShrink(t *testing.T) {
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f := func(addItemCount, limit, expectedLen int) {
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t.Helper()
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qst := &queryStatsTracker{
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limit: limit,
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maxQueryLogRecordTime: time.Second * 5,
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}
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for i := 0; i < addItemCount; i++ {
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qst.insertQueryStat(fmt.Sprintf("random-n-%d", i), int64(i), time.Now().Add(-time.Second), 500+time.Duration(i))
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}
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if len(qst.qs) != expectedLen {
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t.Fatalf("unxpected len got=%d, for queryStats slice, want=%d", len(qst.qs), expectedLen)
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}
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}
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f(10, 5, 6)
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f(30, 10, 11)
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f(15, 15, 15)
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}
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func TestGetTopNQueriesByDuration(t *testing.T) {
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f := func(topN int, expectedQueryStats []queryStats) {
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t.Helper()
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ql := &queryStatsTracker{
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limit: 25,
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maxQueryLogRecordTime: time.Second * 5,
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}
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queriesDurations := []int{16, 4, 5, 10}
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for i, v := range queriesDurations {
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ql.insertQueryStat(fmt.Sprintf("query-n-%d", i), int64(0), time.Now(), time.Second*time.Duration(v))
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}
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got := getTopNQueriesByAvgDuration(ql, topN)
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if len(got) != len(expectedQueryStats) {
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t.Fatalf("unxpected len of result, got: %d, want: %d", len(got), len(expectedQueryStats))
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}
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for i, gotR := range got {
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if gotR.query != expectedQueryStats[i].query {
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t.Fatalf("unxpected query: %q at position: %d, want: %q", gotR.query, i, expectedQueryStats[i].query)
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}
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}
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}
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f(1, []queryStats{{query: "query-n-0"}})
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f(2, []queryStats{{query: "query-n-0"}, {query: "query-n-3"}})
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}
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func TestGetTopNQueriesByCount(t *testing.T) {
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f := func(topN int, expectedQueryStats []queryStats) {
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t.Helper()
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ql := &queryStatsTracker{
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limit: 25,
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maxQueryLogRecordTime: time.Second * 5,
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}
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queriesCounts := []int{1, 4, 5, 11}
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for i, v := range queriesCounts {
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for ic := 0; ic < v; ic++ {
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ql.insertQueryStat(fmt.Sprintf("query-n-%d", i), int64(0), time.Now(), time.Second*time.Duration(v))
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}
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}
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got := getTopNQueriesByRecordCount(ql, topN)
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if len(got) != len(expectedQueryStats) {
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t.Fatalf("unxpected len of result, got: %d, want: %d", len(got), len(expectedQueryStats))
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}
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for i, gotR := range got {
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if gotR.query != expectedQueryStats[i].query {
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t.Fatalf("unxpected query: %q at position: %d, want: %q", gotR.query, i, expectedQueryStats[i].query)
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}
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}
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}
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f(1, []queryStats{{query: "query-n-3"}})
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f(2, []queryStats{{query: "query-n-3"}, {query: "query-n-2"}})
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}
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func TestGetTopNQueriesByAverageDuration(t *testing.T) {
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f := func(topN int, expectedQueryStats []queryStats) {
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t.Helper()
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ql := &queryStatsTracker{
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limit: 25,
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maxQueryLogRecordTime: time.Second * 5,
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}
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queriesQurations := []int{4, 25, 14, 10}
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for i, v := range queriesQurations {
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ql.insertQueryStat(fmt.Sprintf("query-n-%d", i), int64(0), time.Now(), time.Second*time.Duration(v))
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}
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got := getTopNQueriesByAvgDuration(ql, topN)
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if len(got) != len(expectedQueryStats) {
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t.Fatalf("unxpected len of result, got: %d, want: %d", len(got), len(expectedQueryStats))
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}
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for i, gotR := range got {
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if gotR.query != expectedQueryStats[i].query {
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t.Fatalf("unxpected query: %q at position: %d, want: %q", gotR.query, i, expectedQueryStats[i].query)
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}
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}
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}
|
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f(1, []queryStats{{query: "query-n-1"}})
|
||||
f(2, []queryStats{{query: "query-n-1"}, {query: "query-n-2"}})
|
||||
}
|
||||
|
||||
func TestWriteJSONQueryStats(t *testing.T) {
|
||||
qst := queryStatsTracker{
|
||||
limit: 100,
|
||||
maxQueryLogRecordTime: time.Minute * 5,
|
||||
}
|
||||
t1 := time.Now()
|
||||
qst.insertQueryStat("sum(rate(rps_total)[1m]) by(service)", 360, t1, time.Microsecond*100)
|
||||
qst.insertQueryStat("up", 360, t1, time.Microsecond)
|
||||
qst.insertQueryStat("up", 360, t1, time.Microsecond)
|
||||
qst.insertQueryStat("up", 360, t1, time.Microsecond)
|
||||
|
||||
f := func(t *testing.T, wantResp, aggregateBy string) {
|
||||
var got strings.Builder
|
||||
writeJSONQueryStats(&got, &qst, 5, aggregateBy)
|
||||
if !reflect.DeepEqual(got.String(), wantResp) {
|
||||
t.Fatalf("unexpected response, \ngot: %s,\nwant: %s", got.String(), wantResp)
|
||||
}
|
||||
}
|
||||
|
||||
t.Run("aggregateByDuration", func(t *testing.T) {
|
||||
f(t, `{"top_n": "5","stats_max_duration": "10m0s","top": [{"query": "sum(rate(rps_total)[1m]) by(service)","query_time_range": "360ms","cumalative_duration": "100µs","avg_duration": "100µs","requests_count": "1"},{"query": "up","query_time_range": "360ms","cumalative_duration": "3µs","avg_duration": "1µs","requests_count": "3"}]}`,
|
||||
"duration")
|
||||
})
|
||||
t.Run("aggregateByfrequency", func(t *testing.T) {
|
||||
f(t, `{"top_n": "5","stats_max_duration": "10m0s","top": [{"query": "up","query_time_range": "360ms","cumalative_duration": "3µs","avg_duration": "1µs","requests_count": "3"},{"query": "sum(rate(rps_total)[1m]) by(service)","query_time_range": "360ms","cumalative_duration": "100µs","avg_duration": "100µs","requests_count": "1"}]}`,
|
||||
"frequency")
|
||||
})
|
||||
t.Run("aggregateByDuration", func(t *testing.T) {
|
||||
f(t, `{"top_n": "5","stats_max_duration": "10m0s","top": [{"query": "sum(rate(rps_total)[1m]) by(service)","query_time_range": "360ms","cumalative_duration": "100µs","avg_duration": "100µs","requests_count": "1"},{"query": "up","query_time_range": "360ms","cumalative_duration": "3µs","avg_duration": "1µs","requests_count": "3"}]}`,
|
||||
"avg_duration")
|
||||
})
|
||||
|
||||
}
|
Loading…
Reference in New Issue
Block a user