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* adds drop for outdated records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:
Nikolay 2020-12-25 17:42:05 +03:00 committed by Aliaksandr Valialkin
parent ca8919e8e1
commit 76d092c091
5 changed files with 458 additions and 0 deletions

View File

@ -274,6 +274,25 @@ func selectHandler(startTime time.Time, w http.ResponseWriter, r *http.Request,
return true
}
return true
case "prometheus/api/v1/status/queries/avg_duration":
if err := prometheus.QueryStatsHandler(startTime, w, r, "avg_duration"); err != nil {
sendPrometheusError(w, r, fmt.Errorf("cannot query status endpoint: %w", err))
return true
}
return true
case "prometheus/api/v1/status/queries/duration":
if err := prometheus.QueryStatsHandler(startTime, w, r, "duration"); err != nil {
sendPrometheusError(w, r, fmt.Errorf("cannot query status endpoint: %w", err))
return true
}
return true
case "prometheus/api/v1/status/queries/frequency":
if err := prometheus.QueryStatsHandler(startTime, w, r, "frequency"); err != nil {
sendPrometheusError(w, r, fmt.Errorf("cannot query status endpoint: %w", err))
return true
}
return true
case "prometheus/api/v1/status/tsdb":
statusTSDBRequests.Inc()
if err := prometheus.TSDBStatusHandler(startTime, at, w, r); err != nil {

View File

@ -1326,3 +1326,37 @@ func getLatencyOffsetMilliseconds() int64 {
}
return d
}
// QueryStatsHandler - returns statistics for queries executions with given aggregate func name.
// See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/907
func QueryStatsHandler(startTime time.Time, w http.ResponseWriter, r *http.Request, aggregateBy string) error {
if err := r.ParseForm(); err != nil {
return fmt.Errorf("cannot parse form values: %w", err)
}
topN := 10
topNStr := r.FormValue("topN")
if len(topNStr) > 0 {
n, err := strconv.Atoi(topNStr)
if err != nil {
return fmt.Errorf("cannot parse `topN` arg %q: %w", topNStr, err)
}
if n <= 0 {
n = 1
}
if n > 1000 {
n = 1000
}
topN = n
}
w.Header().Set("Content-Type", "application/json; charset=utf-8")
bw := bufferedwriter.Get(w)
defer bufferedwriter.Put(bw)
promql.WriteQueryStatsResponse(bw, topN, aggregateBy)
if err := bw.Flush(); err != nil {
return err
}
queryStatsDuration.UpdateDuration(startTime)
return nil
}
var queryStatsDuration = metrics.NewSummary(`vm_request_duration_seconds{path="/api/v1/status/queries"}`)

View File

@ -39,6 +39,13 @@ func Exec(ec *EvalConfig, q string, isFirstPointOnly bool) ([]netstorage.Result,
}
}()
}
if *maxQueryStatsTrackerItemsCount > 0 {
start := time.Now()
defer func() {
tr := ec.End - ec.Start
InsertQueryStat(q, tr, start, time.Since(start))
}()
}
ec.validate()

View File

@ -0,0 +1,254 @@
package promql
import (
"flag"
"fmt"
"io"
"sort"
"strings"
"sync"
"time"
"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
"github.com/VictoriaMetrics/metrics"
)
var (
maxQueryStatsRecordLifeTime = flag.Duration("search.MaxQueryStatsRecordLifeTime", 10*time.Minute, "Limits maximum lifetime for query stats record. With minimum 10 seconds")
maxQueryStatsTrackerItemsCount = flag.Int("search.MaxQueryStatsItems", 1000, "Limits count for distinct query stat records, keyed by query name and query time range. "+
"With Maximum 5000 records. Zero value disables query stats recording")
)
var (
shrinkQueryStatsCalls = metrics.NewCounter(`vm_query_stats_shrink_calls_total`)
globalQueryStatsTracker *queryStatsTracker
gQSTOnce sync.Once
)
// InsertQueryStat - inserts query stats record to global query stats tracker
// with given query name, query time-range, execution time and its duration.
func InsertQueryStat(query string, tr int64, execTime time.Time, duration time.Duration) {
gQSTOnce.Do(func() {
initQueryStatsTracker()
})
globalQueryStatsTracker.insertQueryStat(query, tr, execTime, duration)
}
// WriteQueryStatsResponse - writes query stats to given writer in json format with given aggregate key.
func WriteQueryStatsResponse(w io.Writer, topN int, aggregateBy string) {
gQSTOnce.Do(func() {
initQueryStatsTracker()
})
writeJSONQueryStats(w, globalQueryStatsTracker, topN, aggregateBy)
}
// queryStatsTracker - hold statistics for all queries,
// query name and query range is a group key.
type queryStatsTracker struct {
maxQueryLogRecordTime time.Duration
limit int
queryStatsLocker sync.Mutex
qs []queryStats
}
// queryStats - represent single query statistic.
type queryStats struct {
query string
queryRange int64
queryLastSeen int64
queryStatRecords []queryStatRecord
}
// queryStatRecord - one record of query stat.
type queryStatRecord struct {
// end-start
duration time.Duration
// in seconds as unix_ts.
execTime int64
}
func initQueryStatsTracker() {
limit := *maxQueryStatsTrackerItemsCount
if limit > 5000 {
limit = 5000
}
qlt := *maxQueryStatsRecordLifeTime
if qlt == 0 {
qlt = time.Second * 10
}
logger.Infof("enabled query stats tracking, max records count: %d, max query record lifetime: %s", limit, qlt)
qst := queryStatsTracker{
limit: limit,
maxQueryLogRecordTime: qlt,
}
go func() {
for {
time.Sleep(time.Second * 10)
qst.dropOutdatedRecords()
}
}()
globalQueryStatsTracker = &qst
}
func formatJSONQueryStats(queries []queryStats) string {
var s strings.Builder
for i, q := range queries {
fmt.Fprintf(&s, `{"query": %q,`, q.query)
fmt.Fprintf(&s, `"query_time_range": %q,`, time.Duration(q.queryRange*1e6))
fmt.Fprintf(&s, `"cumalative_duration": %q,`, q.Duration())
if len(q.queryStatRecords) > 0 {
fmt.Fprintf(&s, `"avg_duration": %q,`, q.Duration()/time.Duration(len(q.queryStatRecords)))
}
fmt.Fprintf(&s, `"requests_count": "%d"`, len(q.queryStatRecords))
s.WriteString(`}`)
if i != len(queries)-1 {
s.WriteString(`,`)
}
}
return s.String()
}
func writeJSONQueryStats(w io.Writer, ql *queryStatsTracker, topN int, aggregateBy string) {
fmt.Fprintf(w, `{"top_n": "%d",`, topN)
fmt.Fprintf(w, `"stats_max_duration": %q,`, maxQueryStatsRecordLifeTime.String())
fmt.Fprint(w, `"top": [`)
switch aggregateBy {
case "frequency":
fmt.Fprint(w, formatJSONQueryStats(getTopNQueriesByRecordCount(ql, topN)))
case "duration":
fmt.Fprint(w, formatJSONQueryStats(getTopNQueriesByDuration(ql, topN)))
case "avg_duration":
fmt.Fprint(w, formatJSONQueryStats(getTopNQueriesByAvgDuration(ql, topN)))
default:
logger.Errorf("invalid aggregation key=%q, report bug", aggregateBy)
fmt.Fprintf(w, `{"error": "invalid aggregateBy value=%s"}`, aggregateBy)
}
fmt.Fprint(w, `]`)
fmt.Fprint(w, `}`)
}
// drops query stats records less then given time in seconds.
// no need to sort
// its added in chronological order.
// must be called with mutex.
func (qs *queryStats) dropOutDatedRecords(t int64) {
// fast path
// compare time with last elem.
if len(qs.queryStatRecords) > 0 && qs.queryStatRecords[len(qs.queryStatRecords)-1].execTime < t {
qs.queryStatRecords = qs.queryStatRecords[:0]
return
}
// remove all elements by default.
shrinkIndex := len(qs.queryStatRecords)
for i, v := range qs.queryStatRecords {
if t < v.execTime {
shrinkIndex = i
break
}
}
if shrinkIndex > 0 {
qs.queryStatRecords = qs.queryStatRecords[shrinkIndex:]
}
}
// calculates cumulative duration for query.
func (qs *queryStats) Duration() time.Duration {
var cnt time.Duration
for _, v := range qs.queryStatRecords {
cnt += v.duration
}
return cnt
}
// must be called with mutex,
// shrinks slice by the last added query with given shrinkSize.
func (qst *queryStatsTracker) shrink(shrinkSize int) {
if len(qst.qs) < shrinkSize {
return
}
sort.Slice(qst.qs, func(i, j int) bool {
return qst.qs[i].queryLastSeen < qst.qs[j].queryLastSeen
})
qst.qs = qst.qs[shrinkSize:]
}
// drop outdated keys.
func (qst *queryStatsTracker) dropOutdatedRecords() {
qst.queryStatsLocker.Lock()
defer qst.queryStatsLocker.Unlock()
t := time.Now().Add(-qst.maxQueryLogRecordTime).Unix()
var i int
for _, v := range qst.qs {
v.dropOutDatedRecords(t)
if len(v.queryStatRecords) > 0 {
qst.qs[i] = v
i++
}
}
if i == len(qst.qs) {
return
}
qst.qs = qst.qs[:i]
}
func (qst *queryStatsTracker) insertQueryStat(query string, tr int64, execTime time.Time, duration time.Duration) {
qst.queryStatsLocker.Lock()
defer qst.queryStatsLocker.Unlock()
// shrink old queries.
if len(qst.qs) > qst.limit {
shrinkQueryStatsCalls.Inc()
qst.shrink(1)
}
// add record to exist stats, keyed by query string and time-range.
for i, v := range qst.qs {
if v.query == query && v.queryRange == tr {
v.queryLastSeen = execTime.Unix()
v.queryStatRecords = append(v.queryStatRecords, queryStatRecord{execTime: execTime.Unix(), duration: duration})
qst.qs[i] = v
return
}
}
qst.qs = append(qst.qs, queryStats{
queryStatRecords: []queryStatRecord{{execTime: execTime.Unix(), duration: duration}},
queryLastSeen: execTime.Unix(),
query: query,
queryRange: tr,
})
}
func getTopNQueriesByAvgDuration(qst *queryStatsTracker, top int) []queryStats {
return getTopNQueryStatsItemsWithFilter(qst, top, func(i, j int) bool {
lenI := len(qst.qs[i].queryStatRecords)
lenJ := len(qst.qs[j].queryStatRecords)
if lenI == 0 || lenJ == 0 {
return false
}
return qst.qs[i].Duration()/time.Duration(lenI) > qst.qs[j].Duration()/time.Duration(lenJ)
})
}
func getTopNQueriesByRecordCount(qst *queryStatsTracker, top int) []queryStats {
return getTopNQueryStatsItemsWithFilter(qst, top, func(i, j int) bool {
return len(qst.qs[i].queryStatRecords) > len(qst.qs[j].queryStatRecords)
})
}
func getTopNQueriesByDuration(qst *queryStatsTracker, top int) []queryStats {
return getTopNQueryStatsItemsWithFilter(qst, top, func(i, j int) bool {
return qst.qs[i].Duration() > qst.qs[j].Duration()
})
}
func getTopNQueryStatsItemsWithFilter(qst *queryStatsTracker, top int, filterFunc func(i, j int) bool) []queryStats {
qst.queryStatsLocker.Lock()
defer qst.queryStatsLocker.Unlock()
if top > len(qst.qs) {
top = len(qst.qs)
}
sort.Slice(qst.qs, filterFunc)
result := make([]queryStats, 0, top)
result = append(result, qst.qs[:top]...)
return result
}

View File

@ -0,0 +1,144 @@
package promql
import (
"fmt"
"reflect"
"strings"
"testing"
"time"
)
func TestQueryLoggerShrink(t *testing.T) {
f := func(addItemCount, limit, expectedLen int) {
t.Helper()
qst := &queryStatsTracker{
limit: limit,
maxQueryLogRecordTime: time.Second * 5,
}
for i := 0; i < addItemCount; i++ {
qst.insertQueryStat(fmt.Sprintf("random-n-%d", i), int64(i), time.Now().Add(-time.Second), 500+time.Duration(i))
}
if len(qst.qs) != expectedLen {
t.Fatalf("unxpected len got=%d, for queryStats slice, want=%d", len(qst.qs), expectedLen)
}
}
f(10, 5, 6)
f(30, 10, 11)
f(15, 15, 15)
}
func TestGetTopNQueriesByDuration(t *testing.T) {
f := func(topN int, expectedQueryStats []queryStats) {
t.Helper()
ql := &queryStatsTracker{
limit: 25,
maxQueryLogRecordTime: time.Second * 5,
}
queriesDurations := []int{16, 4, 5, 10}
for i, v := range queriesDurations {
ql.insertQueryStat(fmt.Sprintf("query-n-%d", i), int64(0), time.Now(), time.Second*time.Duration(v))
}
got := getTopNQueriesByAvgDuration(ql, topN)
if len(got) != len(expectedQueryStats) {
t.Fatalf("unxpected len of result, got: %d, want: %d", len(got), len(expectedQueryStats))
}
for i, gotR := range got {
if gotR.query != expectedQueryStats[i].query {
t.Fatalf("unxpected query: %q at position: %d, want: %q", gotR.query, i, expectedQueryStats[i].query)
}
}
}
f(1, []queryStats{{query: "query-n-0"}})
f(2, []queryStats{{query: "query-n-0"}, {query: "query-n-3"}})
}
func TestGetTopNQueriesByCount(t *testing.T) {
f := func(topN int, expectedQueryStats []queryStats) {
t.Helper()
ql := &queryStatsTracker{
limit: 25,
maxQueryLogRecordTime: time.Second * 5,
}
queriesCounts := []int{1, 4, 5, 11}
for i, v := range queriesCounts {
for ic := 0; ic < v; ic++ {
ql.insertQueryStat(fmt.Sprintf("query-n-%d", i), int64(0), time.Now(), time.Second*time.Duration(v))
}
}
got := getTopNQueriesByRecordCount(ql, topN)
if len(got) != len(expectedQueryStats) {
t.Fatalf("unxpected len of result, got: %d, want: %d", len(got), len(expectedQueryStats))
}
for i, gotR := range got {
if gotR.query != expectedQueryStats[i].query {
t.Fatalf("unxpected query: %q at position: %d, want: %q", gotR.query, i, expectedQueryStats[i].query)
}
}
}
f(1, []queryStats{{query: "query-n-3"}})
f(2, []queryStats{{query: "query-n-3"}, {query: "query-n-2"}})
}
func TestGetTopNQueriesByAverageDuration(t *testing.T) {
f := func(topN int, expectedQueryStats []queryStats) {
t.Helper()
ql := &queryStatsTracker{
limit: 25,
maxQueryLogRecordTime: time.Second * 5,
}
queriesQurations := []int{4, 25, 14, 10}
for i, v := range queriesQurations {
ql.insertQueryStat(fmt.Sprintf("query-n-%d", i), int64(0), time.Now(), time.Second*time.Duration(v))
}
got := getTopNQueriesByAvgDuration(ql, topN)
if len(got) != len(expectedQueryStats) {
t.Fatalf("unxpected len of result, got: %d, want: %d", len(got), len(expectedQueryStats))
}
for i, gotR := range got {
if gotR.query != expectedQueryStats[i].query {
t.Fatalf("unxpected query: %q at position: %d, want: %q", gotR.query, i, expectedQueryStats[i].query)
}
}
}
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")
})
}