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https://github.com/VictoriaMetrics/VictoriaMetrics.git
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app/vmselect/promql: optimize repeated SLI-like instant queries with lookbehind windows >= 1d
Repeated instant queries with long lookbehind windows, which contain one of the following rollup functions, are optimized via partial result caching: - sum_over_time() - count_over_time() - avg_over_time() - increase() - rate() The basic idea of optimization is to calculate rf(m[d] @ t) as rf(m[offset] @ t) + rf(m[d] @ (t-offset)) - rf(m[offset] @ (t-d)) where rf(m[d] @ (t-offset)) is cached query result, which was calculated previously The offset may be in the range of up to 1 hour.
This commit is contained in:
Aliaksandr Valialkin
parent
c96fc05f3e
commit
41a0fdaf39
6 changed files with 614 additions and 134 deletions
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@ -79,6 +79,13 @@ type incrementalAggrFuncContext struct {
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callbacks *incrementalAggrFuncCallbacks
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}
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func (iafc *incrementalAggrFuncContext) resetState() {
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byWorkerID := iafc.byWorkerID
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for i := range byWorkerID {
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byWorkerID[i].m = make(map[string]*incrementalAggrContext, len(byWorkerID[i].m))
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}
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}
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func newIncrementalAggrFuncContext(ae *metricsql.AggrFuncExpr, callbacks *incrementalAggrFuncCallbacks) *incrementalAggrFuncContext {
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return &incrementalAggrFuncContext{
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ae: ae,
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@ -154,6 +161,8 @@ func (iafc *incrementalAggrFuncContext) finalizeTimeseries() []*timeseries {
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finalizeAggrFunc(iac)
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tss = append(tss, iac.ts)
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}
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// reset iafc state, so it could be re-used
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iafc.resetState()
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return tss
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}
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@ -16,6 +16,7 @@ import (
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/bytesutil"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/cgroup"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/decimal"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/fasttime"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/flagutil"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/logger"
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"github.com/VictoriaMetrics/VictoriaMetrics/lib/memory"
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@ -61,7 +62,7 @@ func ValidateMaxPointsPerSeries(start, end, step int64, maxPoints int) error {
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// AdjustStartEnd adjusts start and end values, so response caching may be enabled.
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//
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// See EvalConfig.mayCache for details.
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// See EvalConfig.mayCache() for details.
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func AdjustStartEnd(start, end, step int64) (int64, int64) {
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if *disableCache {
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// Do not adjust start and end values when cache is disabled.
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@ -191,6 +192,11 @@ func (ec *EvalConfig) mayCache() bool {
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if !ec.MayCache {
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return false
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}
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if ec.Start == ec.End {
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// There is no need in aligning start and end to step for instant query
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// in order to cache its results.
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return true
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}
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if ec.Start%ec.Step != 0 {
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return false
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}
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@ -1039,6 +1045,262 @@ func removeNanValues(dstValues []float64, dstTimestamps []int64, values []float6
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return dstValues, dstTimestamps
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}
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// minWindowForInstantRollupOptimization is the minimum lookbehind window in milliseconds
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// for enabling smart caching of instant rollup function results.
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const minWindowForInstantRollupOptimization = 24 * 3600 * 1000
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// evalInstantRollup evaluates instant rollup where ec.Start == ec.End.
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func evalInstantRollup(qt *querytracer.Tracer, ec *EvalConfig, funcName string, rf rollupFunc,
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expr metricsql.Expr, me *metricsql.MetricExpr, iafc *incrementalAggrFuncContext, window int64) ([]*timeseries, error) {
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if ec.Start != ec.End {
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logger.Panicf("BUG: evalInstantRollup cannot be called on non-empty time range; got %s", ec.timeRangeString())
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}
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timestamp := ec.Start
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if qt.Enabled() {
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qt = qt.NewChild("instant rollup %s; time=%s, window=%d", expr.AppendString(nil), storage.TimestampToHumanReadableFormat(timestamp), window)
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defer qt.Done()
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}
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evalAt := func(qt *querytracer.Tracer, timestamp, window int64) ([]*timeseries, error) {
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ecCopy := copyEvalConfig(ec)
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ecCopy.Start = timestamp
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ecCopy.End = timestamp
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pointsPerSeries := int64(1)
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return evalRollupFuncNoCache(qt, ecCopy, funcName, rf, expr, me, iafc, window, pointsPerSeries)
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}
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tooBigOffset := func(offset int64) bool {
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maxOffset := window / 2
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if maxOffset > 3600*1000 {
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maxOffset = 3600 * 1000
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}
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return offset >= maxOffset
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}
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if !ec.mayCache() {
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qt.Printf("do not apply instant rollup optimization because of disabled cache")
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return evalAt(qt, timestamp, window)
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}
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if window < minWindowForInstantRollupOptimization {
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qt.Printf("do not apply instant rollup optimization because of too small window=%d; must be equal or bigger than %d", window, minWindowForInstantRollupOptimization)
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return evalAt(qt, timestamp, window)
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}
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switch funcName {
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case "avg_over_time":
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if iafc != nil {
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qt.Printf("do not apply instant rollup optimization for incremental aggregate %s()", iafc.ae.Name)
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return evalAt(qt, timestamp, window)
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}
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qt.Printf("optimized calculation for instant rollup avg_over_time(m[d]) as (sum_over_time(m[d]) / count_over_time(m[d]))")
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fe := expr.(*metricsql.FuncExpr)
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feSum := *fe
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feSum.Name = "sum_over_time"
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feCount := *fe
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feCount.Name = "count_over_time"
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be := &metricsql.BinaryOpExpr{
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Op: "/",
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KeepMetricNames: fe.KeepMetricNames,
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Left: &feSum,
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Right: &feCount,
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}
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return evalExpr(qt, ec, be)
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case "rate":
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if iafc != nil {
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if strings.ToLower(iafc.ae.Name) != "sum" {
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qt.Printf("do not apply instant rollup optimization for incremental aggregate %s()", iafc.ae.Name)
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return evalAt(qt, timestamp, window)
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}
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qt.Printf("optimized calculation for sum(rate(m[d])) as (sum(increase(m[d])) / d)")
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afe := expr.(*metricsql.AggrFuncExpr)
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fe := afe.Args[0].(*metricsql.FuncExpr)
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feIncrease := *fe
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feIncrease.Name = "increase"
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re := fe.Args[0].(*metricsql.RollupExpr)
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d := re.Window.Duration(ec.Step)
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if d == 0 {
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d = ec.Step
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}
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afeIncrease := *afe
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afeIncrease.Args = []metricsql.Expr{&feIncrease}
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be := &metricsql.BinaryOpExpr{
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Op: "/",
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KeepMetricNames: true,
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Left: &afeIncrease,
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Right: &metricsql.NumberExpr{
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N: float64(d) / 1000,
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},
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}
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return evalExpr(qt, ec, be)
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}
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qt.Printf("optimized calculation for instant rollup rate(m[d]) as (increase(m[d]) / d)")
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fe := expr.(*metricsql.FuncExpr)
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feIncrease := *fe
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feIncrease.Name = "increase"
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re := fe.Args[0].(*metricsql.RollupExpr)
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d := re.Window.Duration(ec.Step)
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if d == 0 {
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d = ec.Step
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}
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be := &metricsql.BinaryOpExpr{
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Op: "/",
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KeepMetricNames: fe.KeepMetricNames,
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Left: &feIncrease,
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Right: &metricsql.NumberExpr{
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N: float64(d) / 1000,
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},
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}
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return evalExpr(qt, ec, be)
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case "count_over_time", "sum_over_time", "increase":
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if iafc != nil && strings.ToLower(iafc.ae.Name) != "sum" {
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qt.Printf("do not apply instant rollup optimization for non-sum incremental aggregate %s()", iafc.ae.Name)
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return evalAt(qt, timestamp, window)
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}
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// Calculate
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//
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// rf(m[window] @ timestamp)
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//
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// as
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//
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// rf(m[window] @ (timestamp-offset)) + rf(m[offset] @ timestamp) - rf(m[offset] @ (timestamp-window))
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//
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// where
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//
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// - rf is count_over_time, sum_over_time or increase
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// - rf(m[window] @ (timestamp-offset)) is obtained from cache
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// - rf(m[offset] @ timestamp) and rf(m[offset] @ (timestamp-window)) are calculated from the storage
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// These rollups are calculated faster than rf(m[window]) because offset is smaller than window.
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qtChild := qt.NewChild("optimized calculation for instant rollup %s at time=%s with lookbehind window=%d",
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expr.AppendString(nil), storage.TimestampToHumanReadableFormat(timestamp), window)
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defer qtChild.Done()
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again:
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offset := int64(0)
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tssCached := rollupResultCacheV.GetInstantValues(qtChild, expr, window, ec.Step, ec.EnforcedTagFilterss)
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ec.QueryStats.addSeriesFetched(len(tssCached))
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if len(tssCached) == 0 {
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// Cache miss. Re-populate it
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start := int64(fasttime.UnixTimestamp()*1000) - cacheTimestampOffset.Milliseconds()
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offset = timestamp - start
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if offset < 0 {
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start = timestamp
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offset = 0
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}
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if tooBigOffset(offset) {
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qtChild.Printf("cannot apply instant rollup optimization because the -search.cacheTimestampOffset=%s is too big "+
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"for the requested time=%s and window=%d", cacheTimestampOffset, storage.TimestampToHumanReadableFormat(timestamp), window)
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return evalAt(qtChild, timestamp, window)
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}
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qtChild.Printf("calculating the rollup at time=%s, because it is missing in the cache", storage.TimestampToHumanReadableFormat(start))
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tss, err := evalAt(qtChild, start, window)
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if err != nil {
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return nil, err
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}
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rollupResultCacheV.PutInstantValues(qtChild, expr, window, ec.Step, ec.EnforcedTagFilterss, tss)
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tssCached = tss
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} else {
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offset = timestamp - tssCached[0].Timestamps[0]
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if offset < 0 {
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qtChild.Printf("do not apply instant rollup optimization because the cached values have bigger timestamp=%s than the requested one=%s",
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storage.TimestampToHumanReadableFormat(tssCached[0].Timestamps[0]), storage.TimestampToHumanReadableFormat(timestamp))
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// Delete the outdated cached values, so the cache could be re-populated with newer values.
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rollupResultCacheV.DeleteInstantValues(qtChild, expr, window, ec.Step, ec.EnforcedTagFilterss)
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goto again
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}
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if tooBigOffset(offset) {
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qtChild.Printf("do not apply instant rollup optimization because the offset=%d between the requested timestamp "+
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"and the cached values is too big comparing to window=%d", offset, window)
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// Delete the outdated cached values, so the cache could be re-populated with newer values.
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rollupResultCacheV.DeleteInstantValues(qtChild, expr, window, ec.Step, ec.EnforcedTagFilterss)
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goto again
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}
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}
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if offset == 0 {
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qtChild.Printf("return cached values, since they have the requested timestamp=%s", storage.TimestampToHumanReadableFormat(timestamp))
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return tssCached, nil
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}
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// Calculate count_over_time(m[offset] @ timestamp)
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tssStart, err := evalAt(qtChild, timestamp, offset)
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if err != nil {
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return nil, err
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}
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// Calculate count_over_time(m[offset] @ (timestamp - window))
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tssEnd, err := evalAt(qtChild, timestamp-window, offset)
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if err != nil {
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return nil, err
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}
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tss, err := mergeInstantValues(qtChild, tssCached, tssStart, tssEnd)
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if err != nil {
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return nil, fmt.Errorf("cannot merge instant series: %w", err)
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}
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return tss, nil
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default:
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qt.Printf("instant rollup optimization isn't implemented for %s()", funcName)
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return evalAt(qt, timestamp, window)
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}
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}
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// mergeInstantValues calculates tssCached + tssStart - tssEnd
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func mergeInstantValues(qt *querytracer.Tracer, tssCached, tssStart, tssEnd []*timeseries) ([]*timeseries, error) {
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qt = qt.NewChild("merge instant values across series; cached=%d, start=%d, end=%d", len(tssCached), len(tssStart), len(tssEnd))
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defer qt.Done()
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assertInstantValues(tssCached)
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assertInstantValues(tssStart)
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assertInstantValues(tssEnd)
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m := make(map[string]*timeseries, len(tssCached))
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bb := bbPool.Get()
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defer bbPool.Put(bb)
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for _, ts := range tssCached {
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bb.B = marshalMetricNameSorted(bb.B[:0], &ts.MetricName)
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if tsExisting := m[string(bb.B)]; tsExisting != nil {
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return nil, fmt.Errorf("duplicate series found: %s", &ts.MetricName)
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}
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m[string(bb.B)] = ts
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}
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for _, ts := range tssStart {
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bb.B = marshalMetricNameSorted(bb.B[:0], &ts.MetricName)
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tsCached := m[string(bb.B)]
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if tsCached != nil && !math.IsNaN(tsCached.Values[0]) {
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if !math.IsNaN(ts.Values[0]) {
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tsCached.Values[0] += ts.Values[0]
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}
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} else {
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m[string(bb.B)] = ts
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}
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}
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for _, ts := range tssEnd {
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bb.B = marshalMetricNameSorted(bb.B[:0], &ts.MetricName)
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tsCached := m[string(bb.B)]
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if tsCached != nil && !math.IsNaN(tsCached.Values[0]) {
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if !math.IsNaN(ts.Values[0]) {
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tsCached.Values[0] -= ts.Values[0]
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}
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}
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}
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rvs := make([]*timeseries, 0, len(m))
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for _, ts := range m {
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rvs = append(rvs, ts)
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}
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qt.Printf("resulting series=%d", len(rvs))
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return rvs, nil
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}
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func assertInstantValues(tss []*timeseries) {
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for _, ts := range tss {
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if len(ts.Values) != 1 {
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logger.Panicf("BUG: instant series must contain a single value; got %d values", len(ts.Values))
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}
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if len(ts.Timestamps) != 1 {
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logger.Panicf("BUG: instant series must contain a single timestamp; got %d timestamps", len(ts.Timestamps))
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}
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}
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}
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var (
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rollupResultCacheFullHits = metrics.NewCounter(`vm_rollup_result_cache_full_hits_total`)
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rollupResultCachePartialHits = metrics.NewCounter(`vm_rollup_result_cache_partial_hits_total`)
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@ -1049,23 +1311,28 @@ var (
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func evalRollupFuncWithMetricExpr(qt *querytracer.Tracer, ec *EvalConfig, funcName string, rf rollupFunc,
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expr metricsql.Expr, me *metricsql.MetricExpr, iafc *incrementalAggrFuncContext, windowExpr *metricsql.DurationExpr) ([]*timeseries, error) {
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var rollupMemorySize int64
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window, err := windowExpr.NonNegativeDuration(ec.Step)
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if err != nil {
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return nil, fmt.Errorf("cannot parse lookbehind window in square brackets at %s: %w", expr.AppendString(nil), err)
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}
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if qt.Enabled() {
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qt = qt.NewChild("rollup %s(): timeRange=%s, step=%d, window=%d", funcName, ec.timeRangeString(), ec.Step, window)
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defer func() {
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qt.Donef("neededMemoryBytes=%d", rollupMemorySize)
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}()
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}
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if me.IsEmpty() {
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return evalNumber(ec, nan), nil
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}
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if ec.Start == ec.End {
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rvs, err := evalInstantRollup(qt, ec, funcName, rf, expr, me, iafc, window)
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if err != nil {
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err = &UserReadableError{
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Err: err,
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}
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return nil, err
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}
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return rvs, nil
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}
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// Search for partial results in cache.
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tssCached, start := rollupResultCacheV.Get(qt, ec, expr, window)
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tssCached, start := rollupResultCacheV.GetSeries(qt, ec, expr, window)
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ec.QueryStats.addSeriesFetched(len(tssCached))
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if start > ec.End {
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// The result is fully cached.
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rollupResultCacheFullHits.Inc()
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@ -1077,10 +1344,41 @@ func evalRollupFuncWithMetricExpr(qt *querytracer.Tracer, ec *EvalConfig, funcNa
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rollupResultCacheMiss.Inc()
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}
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// Obtain rollup configs before fetching data from db,
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// so type errors can be caught earlier.
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sharedTimestamps := getTimestamps(start, ec.End, ec.Step, ec.MaxPointsPerSeries)
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preFunc, rcs, err := getRollupConfigs(funcName, rf, expr, start, ec.End, ec.Step, ec.MaxPointsPerSeries, window, ec.LookbackDelta, sharedTimestamps)
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ecCopy := copyEvalConfig(ec)
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ecCopy.Start = start
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pointsPerSeries := 1 + (ec.End-ec.Start)/ec.Step
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tss, err := evalRollupFuncNoCache(qt, ec, funcName, rf, expr, me, iafc, window, pointsPerSeries)
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if err != nil {
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err = &UserReadableError{
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Err: err,
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}
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return nil, err
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}
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rvs, err := mergeTimeseries(qt, tssCached, tss, start, ec)
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if err != nil {
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return nil, fmt.Errorf("cannot merge series: %w", err)
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}
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if tss != nil {
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rollupResultCacheV.PutSeries(qt, ec, expr, window, tss)
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}
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return rvs, nil
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}
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// evalRollupFuncNoCache calculates the given rf with the given lookbehind window.
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//
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// pointsPerSeries is used only for estimating the needed memory for query processing
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func evalRollupFuncNoCache(qt *querytracer.Tracer, ec *EvalConfig, funcName string, rf rollupFunc,
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expr metricsql.Expr, me *metricsql.MetricExpr, iafc *incrementalAggrFuncContext, window, pointsPerSeries int64) ([]*timeseries, error) {
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if qt.Enabled() {
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qt = qt.NewChild("rollup %s: timeRange=%s, step=%d, window=%d", expr.AppendString(nil), ec.timeRangeString(), ec.Step, window)
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defer qt.Done()
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}
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if window <= 0 {
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return nil, nil
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}
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// Obtain rollup configs before fetching data from db, so type errors could be caught earlier.
|
||||
sharedTimestamps := getTimestamps(ec.Start, ec.End, ec.Step, ec.MaxPointsPerSeries)
|
||||
preFunc, rcs, err := getRollupConfigs(funcName, rf, expr, ec.Start, ec.End, ec.Step, ec.MaxPointsPerSeries, window, ec.LookbackDelta, sharedTimestamps)
|
||||
if err != nil {
|
||||
return nil, err
|
||||
}
|
||||
|
|
@ -1088,7 +1386,10 @@ func evalRollupFuncWithMetricExpr(qt *querytracer.Tracer, ec *EvalConfig, funcNa
|
|||
// Fetch the remaining part of the result.
|
||||
tfss := searchutils.ToTagFilterss(me.LabelFilterss)
|
||||
tfss = searchutils.JoinTagFilterss(tfss, ec.EnforcedTagFilterss)
|
||||
minTimestamp := start - maxSilenceInterval
|
||||
minTimestamp := ec.Start
|
||||
if needSilenceIntervalForRollupFunc(funcName) {
|
||||
minTimestamp -= maxSilenceInterval
|
||||
}
|
||||
if window > ec.Step {
|
||||
minTimestamp -= window
|
||||
} else {
|
||||
|
|
@ -1100,21 +1401,16 @@ func evalRollupFuncWithMetricExpr(qt *querytracer.Tracer, ec *EvalConfig, funcNa
|
|||
sq := storage.NewSearchQuery(minTimestamp, ec.End, tfss, ec.MaxSeries)
|
||||
rss, err := netstorage.ProcessSearchQuery(qt, sq, ec.Deadline)
|
||||
if err != nil {
|
||||
return nil, &UserReadableError{
|
||||
Err: err,
|
||||
}
|
||||
return nil, err
|
||||
}
|
||||
rssLen := rss.Len()
|
||||
if rssLen == 0 {
|
||||
rss.Cancel()
|
||||
tss := mergeTimeseries(tssCached, nil, start, ec)
|
||||
return tss, nil
|
||||
return nil, nil
|
||||
}
|
||||
ec.QueryStats.addSeriesFetched(rssLen)
|
||||
|
||||
// Verify timeseries fit available memory after the rollup.
|
||||
// Take into account points from tssCached.
|
||||
pointsPerTimeseries := 1 + (ec.End-ec.Start)/ec.Step
|
||||
// Verify timeseries fit available memory during rollup calculations.
|
||||
timeseriesLen := rssLen
|
||||
if iafc != nil {
|
||||
// Incremental aggregates require holding only GOMAXPROCS timeseries in memory.
|
||||
|
|
@ -1134,8 +1430,8 @@ func evalRollupFuncWithMetricExpr(qt *querytracer.Tracer, ec *EvalConfig, funcNa
|
|||
timeseriesLen = rssLen
|
||||
}
|
||||
}
|
||||
rollupPoints := mulNoOverflow(pointsPerTimeseries, int64(timeseriesLen*len(rcs)))
|
||||
rollupMemorySize = sumNoOverflow(mulNoOverflow(int64(rssLen), 1000), mulNoOverflow(rollupPoints, 16))
|
||||
rollupPoints := mulNoOverflow(pointsPerSeries, int64(timeseriesLen*len(rcs)))
|
||||
rollupMemorySize := sumNoOverflow(mulNoOverflow(int64(rssLen), 1000), mulNoOverflow(rollupPoints, 16))
|
||||
if maxMemory := int64(logQueryMemoryUsage.N); maxMemory > 0 && rollupMemorySize > maxMemory {
|
||||
memoryIntensiveQueries.Inc()
|
||||
requestURI := ec.GetRequestURI()
|
||||
|
|
@ -1146,44 +1442,33 @@ func evalRollupFuncWithMetricExpr(qt *querytracer.Tracer, ec *EvalConfig, funcNa
|
|||
}
|
||||
if maxMemory := int64(maxMemoryPerQuery.N); maxMemory > 0 && rollupMemorySize > maxMemory {
|
||||
rss.Cancel()
|
||||
return nil, &UserReadableError{
|
||||
Err: fmt.Errorf("not enough memory for processing %s, which returns %d data points across %d time series with %d points in each time series "+
|
||||
"according to -search.maxMemoryPerQuery=%d; requested memory: %d bytes; "+
|
||||
"possible solutions are: reducing the number of matching time series; increasing `step` query arg (step=%gs); "+
|
||||
"increasing -search.maxMemoryPerQuery",
|
||||
expr.AppendString(nil), rollupPoints, timeseriesLen*len(rcs), pointsPerTimeseries, maxMemory, rollupMemorySize, float64(ec.Step)/1e3),
|
||||
}
|
||||
err := fmt.Errorf("not enough memory for processing %s, which returns %d data points across %d time series with %d points in each time series "+
|
||||
"according to -search.maxMemoryPerQuery=%d; requested memory: %d bytes; "+
|
||||
"possible solutions are: reducing the number of matching time series; increasing `step` query arg (step=%gs); "+
|
||||
"increasing -search.maxMemoryPerQuery",
|
||||
expr.AppendString(nil), rollupPoints, timeseriesLen*len(rcs), pointsPerSeries, maxMemory, rollupMemorySize, float64(ec.Step)/1e3)
|
||||
return nil, err
|
||||
}
|
||||
rml := getRollupMemoryLimiter()
|
||||
if !rml.Get(uint64(rollupMemorySize)) {
|
||||
rss.Cancel()
|
||||
return nil, &UserReadableError{
|
||||
Err: fmt.Errorf("not enough memory for processing %s, which returns %d data points across %d time series with %d points in each time series; "+
|
||||
"total available memory for concurrent requests: %d bytes; "+
|
||||
"requested memory: %d bytes; "+
|
||||
"possible solutions are: reducing the number of matching time series; increasing `step` query arg (step=%gs); "+
|
||||
"switching to node with more RAM; increasing -memory.allowedPercent",
|
||||
expr.AppendString(nil), rollupPoints, timeseriesLen*len(rcs), pointsPerTimeseries, rml.MaxSize, uint64(rollupMemorySize), float64(ec.Step)/1e3),
|
||||
}
|
||||
err := fmt.Errorf("not enough memory for processing %s, which returns %d data points across %d time series with %d points in each time series; "+
|
||||
"total available memory for concurrent requests: %d bytes; requested memory: %d bytes; "+
|
||||
"possible solutions are: reducing the number of matching time series; increasing `step` query arg (step=%gs); "+
|
||||
"switching to node with more RAM; increasing -memory.allowedPercent",
|
||||
expr.AppendString(nil), rollupPoints, timeseriesLen*len(rcs), pointsPerSeries, rml.MaxSize, uint64(rollupMemorySize), float64(ec.Step)/1e3)
|
||||
return nil, err
|
||||
}
|
||||
defer rml.Put(uint64(rollupMemorySize))
|
||||
qt.Printf("the rollup evaluation needs an estimated %d bytes of RAM for %d series and %d points per series (summary %d points)",
|
||||
rollupMemorySize, timeseriesLen, pointsPerSeries, rollupPoints)
|
||||
|
||||
// Evaluate rollup
|
||||
keepMetricNames := getKeepMetricNames(expr)
|
||||
var tss []*timeseries
|
||||
if iafc != nil {
|
||||
tss, err = evalRollupWithIncrementalAggregate(qt, funcName, keepMetricNames, iafc, rss, rcs, preFunc, sharedTimestamps)
|
||||
} else {
|
||||
tss, err = evalRollupNoIncrementalAggregate(qt, funcName, keepMetricNames, rss, rcs, preFunc, sharedTimestamps)
|
||||
return evalRollupWithIncrementalAggregate(qt, funcName, keepMetricNames, iafc, rss, rcs, preFunc, sharedTimestamps)
|
||||
}
|
||||
if err != nil {
|
||||
return nil, &UserReadableError{
|
||||
Err: err,
|
||||
}
|
||||
}
|
||||
tss = mergeTimeseries(tssCached, tss, start, ec)
|
||||
rollupResultCacheV.Put(qt, ec, expr, window, tss)
|
||||
return tss, nil
|
||||
return evalRollupNoIncrementalAggregate(qt, funcName, keepMetricNames, rss, rcs, preFunc, sharedTimestamps)
|
||||
}
|
||||
|
||||
var (
|
||||
|
|
@ -1198,6 +1483,53 @@ func getRollupMemoryLimiter() *memoryLimiter {
|
|||
return &rollupMemoryLimiter
|
||||
}
|
||||
|
||||
func needSilenceIntervalForRollupFunc(funcName string) bool {
|
||||
// All rollup the functions, which do not rely on the previous sample
|
||||
// before the lookbehind window (aka prevValue), do not need silence interval.
|
||||
switch strings.ToLower(funcName) {
|
||||
case
|
||||
"absent_over_time",
|
||||
"avg_over_time",
|
||||
"count_eq_over_time",
|
||||
"count_gt_over_time",
|
||||
"count_le_over_time",
|
||||
"count_ne_over_time",
|
||||
"count_over_time",
|
||||
"default_rollup",
|
||||
"first_over_time",
|
||||
"histogram_over_time",
|
||||
"hoeffding_bound_lower",
|
||||
"hoeffding_bound_upper",
|
||||
"last_over_time",
|
||||
"mad_over_time",
|
||||
"max_over_time",
|
||||
"median_over_time",
|
||||
"min_over_time",
|
||||
"predict_linear",
|
||||
"present_over_time",
|
||||
"quantile_over_time",
|
||||
"quantiles_over_time",
|
||||
"range_over_time",
|
||||
"share_gt_over_time",
|
||||
"share_le_over_time",
|
||||
"share_eq_over_time",
|
||||
"stale_samples_over_time",
|
||||
"stddev_over_time",
|
||||
"stdvar_over_time",
|
||||
"sum_over_time",
|
||||
"tfirst_over_time",
|
||||
"timestamp",
|
||||
"timestamp_with_name",
|
||||
"tlast_over_time",
|
||||
"tmax_over_time",
|
||||
"tmin_over_time",
|
||||
"zscore_over_time":
|
||||
return false
|
||||
default:
|
||||
return true
|
||||
}
|
||||
}
|
||||
|
||||
func evalRollupWithIncrementalAggregate(qt *querytracer.Tracer, funcName string, keepMetricNames bool,
|
||||
iafc *incrementalAggrFuncContext, rss *netstorage.Results, rcs []*rollupConfig,
|
||||
preFunc func(values []float64, timestamps []int64), sharedTimestamps []int64) ([]*timeseries, error) {
|
||||
|
|
|
|||
|
|
@ -202,11 +202,74 @@ func ResetRollupResultCache() {
|
|||
logger.Infof("rollupResult cache has been cleared")
|
||||
}
|
||||
|
||||
func (rrc *rollupResultCache) Get(qt *querytracer.Tracer, ec *EvalConfig, expr metricsql.Expr, window int64) (tss []*timeseries, newStart int64) {
|
||||
func (rrc *rollupResultCache) GetInstantValues(qt *querytracer.Tracer, expr metricsql.Expr, window, step int64, etfss [][]storage.TagFilter) []*timeseries {
|
||||
if qt.Enabled() {
|
||||
query := string(expr.AppendString(nil))
|
||||
query = bytesutil.LimitStringLen(query, 300)
|
||||
qt = qt.NewChild("rollup cache get: query=%s, timeRange=%s, step=%d, window=%d", query, ec.timeRangeString(), ec.Step, window)
|
||||
qt = qt.NewChild("rollup cache get instant values: query=%s, window=%d, step=%d", query, window, step)
|
||||
defer qt.Done()
|
||||
}
|
||||
|
||||
// Obtain instant values from the cache
|
||||
bb := bbPool.Get()
|
||||
defer bbPool.Put(bb)
|
||||
|
||||
bb.B = marshalRollupResultCacheKeyForInstantValues(bb.B[:0], expr, window, step, etfss)
|
||||
tss, ok := rrc.getSeriesFromCache(qt, bb.B)
|
||||
if !ok || len(tss) == 0 {
|
||||
return nil
|
||||
}
|
||||
assertInstantValues(tss)
|
||||
qt.Printf("found %d series for time=%s", len(tss), storage.TimestampToHumanReadableFormat(tss[0].Timestamps[0]))
|
||||
return tss
|
||||
}
|
||||
|
||||
func (rrc *rollupResultCache) PutInstantValues(qt *querytracer.Tracer, expr metricsql.Expr, window, step int64, etfss [][]storage.TagFilter, tss []*timeseries) {
|
||||
if qt.Enabled() {
|
||||
query := string(expr.AppendString(nil))
|
||||
query = bytesutil.LimitStringLen(query, 300)
|
||||
startStr := ""
|
||||
if len(tss) > 0 {
|
||||
startStr = storage.TimestampToHumanReadableFormat(tss[0].Timestamps[0])
|
||||
}
|
||||
qt = qt.NewChild("rollup cache put instant values: query=%s, window=%d, step=%d, series=%d, time=%s", query, window, step, len(tss), startStr)
|
||||
defer qt.Done()
|
||||
}
|
||||
if len(tss) == 0 {
|
||||
qt.Printf("do not cache empty series list")
|
||||
return
|
||||
}
|
||||
|
||||
assertInstantValues(tss)
|
||||
|
||||
bb := bbPool.Get()
|
||||
defer bbPool.Put(bb)
|
||||
|
||||
bb.B = marshalRollupResultCacheKeyForInstantValues(bb.B[:0], expr, window, step, etfss)
|
||||
_ = rrc.putSeriesToCache(qt, bb.B, step, tss)
|
||||
}
|
||||
|
||||
func (rrc *rollupResultCache) DeleteInstantValues(qt *querytracer.Tracer, expr metricsql.Expr, window, step int64, etfss [][]storage.TagFilter) {
|
||||
bb := bbPool.Get()
|
||||
defer bbPool.Put(bb)
|
||||
|
||||
bb.B = marshalRollupResultCacheKeyForInstantValues(bb.B[:0], expr, window, step, etfss)
|
||||
if !rrc.putSeriesToCache(qt, bb.B, step, nil) {
|
||||
logger.Panicf("BUG: cannot store zero series to cache")
|
||||
}
|
||||
|
||||
if qt.Enabled() {
|
||||
query := string(expr.AppendString(nil))
|
||||
query = bytesutil.LimitStringLen(query, 300)
|
||||
qt.Printf("rollup result cache delete instant values: query=%s, window=%d, step=%d", query, window, step)
|
||||
}
|
||||
}
|
||||
|
||||
func (rrc *rollupResultCache) GetSeries(qt *querytracer.Tracer, ec *EvalConfig, expr metricsql.Expr, window int64) (tss []*timeseries, newStart int64) {
|
||||
if qt.Enabled() {
|
||||
query := string(expr.AppendString(nil))
|
||||
query = bytesutil.LimitStringLen(query, 300)
|
||||
qt = qt.NewChild("rollup cache get series: query=%s, timeRange=%s, window=%d, step=%d", query, ec.timeRangeString(), window, ec.Step)
|
||||
defer qt.Done()
|
||||
}
|
||||
if !ec.mayCache() {
|
||||
|
|
@ -218,7 +281,7 @@ func (rrc *rollupResultCache) Get(qt *querytracer.Tracer, ec *EvalConfig, expr m
|
|||
bb := bbPool.Get()
|
||||
defer bbPool.Put(bb)
|
||||
|
||||
bb.B = marshalRollupResultCacheKey(bb.B[:0], expr, window, ec.Step, ec.EnforcedTagFilterss)
|
||||
bb.B = marshalRollupResultCacheKeyForSeries(bb.B[:0], expr, window, ec.Step, ec.EnforcedTagFilterss)
|
||||
metainfoBuf := rrc.c.Get(nil, bb.B)
|
||||
if len(metainfoBuf) == 0 {
|
||||
qt.Printf("nothing found")
|
||||
|
|
@ -233,31 +296,17 @@ func (rrc *rollupResultCache) Get(qt *querytracer.Tracer, ec *EvalConfig, expr m
|
|||
qt.Printf("nothing found on the timeRange")
|
||||
return nil, ec.Start
|
||||
}
|
||||
|
||||
var ok bool
|
||||
bb.B = key.Marshal(bb.B[:0])
|
||||
compressedResultBuf := resultBufPool.Get()
|
||||
defer resultBufPool.Put(compressedResultBuf)
|
||||
compressedResultBuf.B = rrc.c.GetBig(compressedResultBuf.B[:0], bb.B)
|
||||
if len(compressedResultBuf.B) == 0 {
|
||||
tss, ok = rrc.getSeriesFromCache(qt, bb.B)
|
||||
if !ok {
|
||||
mi.RemoveKey(key)
|
||||
metainfoBuf = mi.Marshal(metainfoBuf[:0])
|
||||
bb.B = marshalRollupResultCacheKey(bb.B[:0], expr, window, ec.Step, ec.EnforcedTagFilterss)
|
||||
bb.B = marshalRollupResultCacheKeyForSeries(bb.B[:0], expr, window, ec.Step, ec.EnforcedTagFilterss)
|
||||
rrc.c.Set(bb.B, metainfoBuf)
|
||||
qt.Printf("missing cache entry")
|
||||
return nil, ec.Start
|
||||
}
|
||||
// Decompress into newly allocated byte slice, since tss returned from unmarshalTimeseriesFast
|
||||
// refers to the byte slice, so it cannot be returned to the resultBufPool.
|
||||
qt.Printf("load compressed entry from cache with size %d bytes", len(compressedResultBuf.B))
|
||||
resultBuf, err := encoding.DecompressZSTD(nil, compressedResultBuf.B)
|
||||
if err != nil {
|
||||
logger.Panicf("BUG: cannot decompress resultBuf from rollupResultCache: %s; it looks like it was improperly saved", err)
|
||||
}
|
||||
qt.Printf("unpack the entry into %d bytes", len(resultBuf))
|
||||
tss, err = unmarshalTimeseriesFast(resultBuf)
|
||||
if err != nil {
|
||||
logger.Panicf("BUG: cannot unmarshal timeseries from rollupResultCache: %s; it looks like it was improperly saved", err)
|
||||
}
|
||||
qt.Printf("unmarshal %d series", len(tss))
|
||||
|
||||
// Extract values for the matching timestamps
|
||||
timestamps := tss[0].Timestamps
|
||||
|
|
@ -303,17 +352,21 @@ func (rrc *rollupResultCache) Get(qt *querytracer.Tracer, ec *EvalConfig, expr m
|
|||
|
||||
var resultBufPool bytesutil.ByteBufferPool
|
||||
|
||||
func (rrc *rollupResultCache) Put(qt *querytracer.Tracer, ec *EvalConfig, expr metricsql.Expr, window int64, tss []*timeseries) {
|
||||
func (rrc *rollupResultCache) PutSeries(qt *querytracer.Tracer, ec *EvalConfig, expr metricsql.Expr, window int64, tss []*timeseries) {
|
||||
if qt.Enabled() {
|
||||
query := string(expr.AppendString(nil))
|
||||
query = bytesutil.LimitStringLen(query, 300)
|
||||
qt = qt.NewChild("rollup cache put: query=%s, timeRange=%s, step=%d, window=%d, series=%d", query, ec.timeRangeString(), ec.Step, window, len(tss))
|
||||
qt = qt.NewChild("rollup cache put series: query=%s, timeRange=%s, step=%d, window=%d, series=%d", query, ec.timeRangeString(), ec.Step, window, len(tss))
|
||||
defer qt.Done()
|
||||
}
|
||||
if len(tss) == 0 || !ec.mayCache() {
|
||||
if !ec.mayCache() {
|
||||
qt.Printf("do not store series to cache, since it is disabled in the current context")
|
||||
return
|
||||
}
|
||||
if len(tss) == 0 {
|
||||
qt.Printf("do not store empty series list")
|
||||
return
|
||||
}
|
||||
|
||||
// Remove values up to currentTime - step - cacheTimestampOffset,
|
||||
// since these values may be added later.
|
||||
|
|
@ -346,7 +399,7 @@ func (rrc *rollupResultCache) Put(qt *querytracer.Tracer, ec *EvalConfig, expr m
|
|||
metainfoBuf := bbPool.Get()
|
||||
defer bbPool.Put(metainfoBuf)
|
||||
|
||||
metainfoKey.B = marshalRollupResultCacheKey(metainfoKey.B[:0], expr, window, ec.Step, ec.EnforcedTagFilterss)
|
||||
metainfoKey.B = marshalRollupResultCacheKeyForSeries(metainfoKey.B[:0], expr, window, ec.Step, ec.EnforcedTagFilterss)
|
||||
metainfoBuf.B = rrc.c.Get(metainfoBuf.B[:0], metainfoKey.B)
|
||||
var mi rollupResultCacheMetainfo
|
||||
if len(metainfoBuf.B) > 0 {
|
||||
|
|
@ -365,31 +418,17 @@ func (rrc *rollupResultCache) Put(qt *querytracer.Tracer, ec *EvalConfig, expr m
|
|||
return
|
||||
}
|
||||
|
||||
maxMarshaledSize := getRollupResultCacheSize() / 4
|
||||
resultBuf := resultBufPool.Get()
|
||||
defer resultBufPool.Put(resultBuf)
|
||||
resultBuf.B = marshalTimeseriesFast(resultBuf.B[:0], tss, maxMarshaledSize, ec.Step)
|
||||
if len(resultBuf.B) == 0 {
|
||||
tooBigRollupResults.Inc()
|
||||
qt.Printf("cannot store series in the cache, since they would occupy more than %d bytes", maxMarshaledSize)
|
||||
return
|
||||
}
|
||||
if qt.Enabled() {
|
||||
startString := storage.TimestampToHumanReadableFormat(start)
|
||||
endString := storage.TimestampToHumanReadableFormat(end)
|
||||
qt.Printf("marshal %d series on a timeRange=[%s..%s] into %d bytes", len(tss), startString, endString, len(resultBuf.B))
|
||||
}
|
||||
compressedResultBuf := resultBufPool.Get()
|
||||
defer resultBufPool.Put(compressedResultBuf)
|
||||
compressedResultBuf.B = encoding.CompressZSTDLevel(compressedResultBuf.B[:0], resultBuf.B, 1)
|
||||
qt.Printf("compress %d bytes into %d bytes", len(resultBuf.B), len(compressedResultBuf.B))
|
||||
|
||||
var key rollupResultCacheKey
|
||||
key.prefix = rollupResultCacheKeyPrefix
|
||||
key.suffix = atomic.AddUint64(&rollupResultCacheKeySuffix, 1)
|
||||
rollupResultKey := key.Marshal(nil)
|
||||
rrc.c.SetBig(rollupResultKey, compressedResultBuf.B)
|
||||
qt.Printf("store %d bytes in the cache", len(compressedResultBuf.B))
|
||||
|
||||
bb := bbPool.Get()
|
||||
bb.B = key.Marshal(bb.B[:0])
|
||||
ok := rrc.putSeriesToCache(qt, bb.B, ec.Step, tss)
|
||||
bbPool.Put(bb)
|
||||
if !ok {
|
||||
return
|
||||
}
|
||||
|
||||
mi.AddKey(key, timestamps[0], timestamps[len(timestamps)-1])
|
||||
metainfoBuf.B = mi.Marshal(metainfoBuf.B[:0])
|
||||
|
|
@ -401,6 +440,52 @@ var (
|
|||
rollupResultCacheKeySuffix = uint64(time.Now().UnixNano())
|
||||
)
|
||||
|
||||
func (rrc *rollupResultCache) getSeriesFromCache(qt *querytracer.Tracer, key []byte) ([]*timeseries, bool) {
|
||||
compressedResultBuf := resultBufPool.Get()
|
||||
compressedResultBuf.B = rrc.c.GetBig(compressedResultBuf.B[:0], key)
|
||||
if len(compressedResultBuf.B) == 0 {
|
||||
qt.Printf("nothing found in the cache")
|
||||
resultBufPool.Put(compressedResultBuf)
|
||||
return nil, false
|
||||
}
|
||||
qt.Printf("load compressed entry from cache with size %d bytes", len(compressedResultBuf.B))
|
||||
// Decompress into newly allocated byte slice, since tss returned from unmarshalTimeseriesFast
|
||||
// refers to the byte slice, so it cannot be re-used.
|
||||
resultBuf, err := encoding.DecompressZSTD(nil, compressedResultBuf.B)
|
||||
if err != nil {
|
||||
logger.Panicf("BUG: cannot decompress resultBuf from rollupResultCache: %s; it looks like it was improperly saved", err)
|
||||
}
|
||||
resultBufPool.Put(compressedResultBuf)
|
||||
qt.Printf("unpack the entry into %d bytes", len(resultBuf))
|
||||
tss, err := unmarshalTimeseriesFast(resultBuf)
|
||||
if err != nil {
|
||||
logger.Panicf("BUG: cannot unmarshal timeseries from rollupResultCache: %s; it looks like it was improperly saved", err)
|
||||
}
|
||||
qt.Printf("unmarshal %d series", len(tss))
|
||||
return tss, true
|
||||
}
|
||||
|
||||
func (rrc *rollupResultCache) putSeriesToCache(qt *querytracer.Tracer, key []byte, step int64, tss []*timeseries) bool {
|
||||
maxMarshaledSize := getRollupResultCacheSize() / 4
|
||||
resultBuf := resultBufPool.Get()
|
||||
defer resultBufPool.Put(resultBuf)
|
||||
resultBuf.B = marshalTimeseriesFast(resultBuf.B[:0], tss, maxMarshaledSize, step)
|
||||
if len(resultBuf.B) == 0 {
|
||||
tooBigRollupResults.Inc()
|
||||
qt.Printf("cannot store %d series in the cache, since they would occupy more than %d bytes", len(tss), maxMarshaledSize)
|
||||
return false
|
||||
}
|
||||
qt.Printf("marshal %d series into %d bytes", len(tss), len(resultBuf.B))
|
||||
compressedResultBuf := resultBufPool.Get()
|
||||
defer resultBufPool.Put(compressedResultBuf)
|
||||
compressedResultBuf.B = encoding.CompressZSTDLevel(compressedResultBuf.B[:0], resultBuf.B, 1)
|
||||
qt.Printf("compress %d bytes into %d bytes", len(resultBuf.B), len(compressedResultBuf.B))
|
||||
|
||||
rrc.c.SetBig(key, compressedResultBuf.B)
|
||||
qt.Printf("store %d bytes in the cache", len(compressedResultBuf.B))
|
||||
return true
|
||||
}
|
||||
|
||||
func newRollupResultCacheKeyPrefix() uint64 {
|
||||
var buf [8]byte
|
||||
if _, err := rand.Read(buf[:]); err != nil {
|
||||
|
|
@ -439,14 +524,36 @@ func mustSaveRollupResultCacheKeyPrefix(path string) {
|
|||
var tooBigRollupResults = metrics.NewCounter("vm_too_big_rollup_results_total")
|
||||
|
||||
// Increment this value every time the format of the cache changes.
|
||||
const rollupResultCacheVersion = 9
|
||||
const rollupResultCacheVersion = 10
|
||||
|
||||
func marshalRollupResultCacheKey(dst []byte, expr metricsql.Expr, window, step int64, etfs [][]storage.TagFilter) []byte {
|
||||
const (
|
||||
rollupResultCacheTypeSeries = 0
|
||||
rollupResultCacheTypeInstantValues = 1
|
||||
)
|
||||
|
||||
func marshalRollupResultCacheKeyForSeries(dst []byte, expr metricsql.Expr, window, step int64, etfs [][]storage.TagFilter) []byte {
|
||||
dst = append(dst, rollupResultCacheVersion)
|
||||
dst = encoding.MarshalUint64(dst, rollupResultCacheKeyPrefix)
|
||||
dst = append(dst, rollupResultCacheTypeSeries)
|
||||
dst = encoding.MarshalInt64(dst, window)
|
||||
dst = encoding.MarshalInt64(dst, step)
|
||||
dst = marshalTagFiltersForRollupResultCacheKey(dst, etfs)
|
||||
dst = expr.AppendString(dst)
|
||||
return dst
|
||||
}
|
||||
|
||||
func marshalRollupResultCacheKeyForInstantValues(dst []byte, expr metricsql.Expr, window, step int64, etfs [][]storage.TagFilter) []byte {
|
||||
dst = append(dst, rollupResultCacheVersion)
|
||||
dst = encoding.MarshalUint64(dst, rollupResultCacheKeyPrefix)
|
||||
dst = append(dst, rollupResultCacheTypeInstantValues)
|
||||
dst = encoding.MarshalInt64(dst, window)
|
||||
dst = encoding.MarshalInt64(dst, step)
|
||||
dst = marshalTagFiltersForRollupResultCacheKey(dst, etfs)
|
||||
dst = expr.AppendString(dst)
|
||||
return dst
|
||||
}
|
||||
|
||||
func marshalTagFiltersForRollupResultCacheKey(dst []byte, etfs [][]storage.TagFilter) []byte {
|
||||
for i, etf := range etfs {
|
||||
for _, f := range etf {
|
||||
dst = f.Marshal(dst)
|
||||
|
|
@ -461,12 +568,15 @@ func marshalRollupResultCacheKey(dst []byte, expr metricsql.Expr, window, step i
|
|||
// mergeTimeseries concatenates b with a and returns the result.
|
||||
//
|
||||
// Preconditions:
|
||||
// - a mustn't intersect with b.
|
||||
// - a mustn't intersect with b by timestamps.
|
||||
// - a timestamps must be smaller than b timestamps.
|
||||
//
|
||||
// Postconditions:
|
||||
// - a and b cannot be used after returning from the call.
|
||||
func mergeTimeseries(a, b []*timeseries, bStart int64, ec *EvalConfig) []*timeseries {
|
||||
func mergeTimeseries(qt *querytracer.Tracer, a, b []*timeseries, bStart int64, ec *EvalConfig) ([]*timeseries, error) {
|
||||
qt = qt.NewChild("merge series len(a)=%d, len(b)=%d", len(a), len(b))
|
||||
defer qt.Done()
|
||||
|
||||
sharedTimestamps := ec.getSharedTimestamps()
|
||||
if bStart == ec.Start {
|
||||
// Nothing to merge - b covers all the time range.
|
||||
|
|
@ -478,7 +588,7 @@ func mergeTimeseries(a, b []*timeseries, bStart int64, ec *EvalConfig) []*timese
|
|||
logger.Panicf("BUG: unexpected number of values in b; got %d; want %d", len(tsB.Values), len(tsB.Timestamps))
|
||||
}
|
||||
}
|
||||
return b
|
||||
return b, nil
|
||||
}
|
||||
|
||||
m := make(map[string]*timeseries, len(a))
|
||||
|
|
@ -486,6 +596,9 @@ func mergeTimeseries(a, b []*timeseries, bStart int64, ec *EvalConfig) []*timese
|
|||
defer bbPool.Put(bb)
|
||||
for _, ts := range a {
|
||||
bb.B = marshalMetricNameSorted(bb.B[:0], &ts.MetricName)
|
||||
if _, ok := m[string(bb.B)]; ok {
|
||||
return nil, fmt.Errorf("duplicate series found: %s", &ts.MetricName)
|
||||
}
|
||||
m[string(bb.B)] = ts
|
||||
}
|
||||
|
||||
|
|
@ -536,7 +649,8 @@ func mergeTimeseries(a, b []*timeseries, bStart int64, ec *EvalConfig) []*timese
|
|||
}
|
||||
rvs = append(rvs, &tmp)
|
||||
}
|
||||
return rvs
|
||||
qt.Printf("resulting series=%d", len(rvs))
|
||||
return rvs, nil
|
||||
}
|
||||
|
||||
type rollupResultCacheMetainfo struct {
|
||||
|
|
|
|||
|
|
@ -61,7 +61,7 @@ func TestRollupResultCache(t *testing.T) {
|
|||
|
||||
// Try obtaining an empty value.
|
||||
t.Run("empty", func(t *testing.T) {
|
||||
tss, newStart := rollupResultCacheV.Get(nil, ec, fe, window)
|
||||
tss, newStart := rollupResultCacheV.GetSeries(nil, ec, fe, window)
|
||||
if newStart != ec.Start {
|
||||
t.Fatalf("unexpected newStart; got %d; want %d", newStart, ec.Start)
|
||||
}
|
||||
|
|
@ -79,8 +79,8 @@ func TestRollupResultCache(t *testing.T) {
|
|||
Values: []float64{0, 1, 2},
|
||||
},
|
||||
}
|
||||
rollupResultCacheV.Put(nil, ec, fe, window, tss)
|
||||
tss, newStart := rollupResultCacheV.Get(nil, ec, fe, window)
|
||||
rollupResultCacheV.PutSeries(nil, ec, fe, window, tss)
|
||||
tss, newStart := rollupResultCacheV.GetSeries(nil, ec, fe, window)
|
||||
if newStart != 1400 {
|
||||
t.Fatalf("unexpected newStart; got %d; want %d", newStart, 1400)
|
||||
}
|
||||
|
|
@ -100,8 +100,8 @@ func TestRollupResultCache(t *testing.T) {
|
|||
Values: []float64{0, 1, 2},
|
||||
},
|
||||
}
|
||||
rollupResultCacheV.Put(nil, ec, ae, window, tss)
|
||||
tss, newStart := rollupResultCacheV.Get(nil, ec, ae, window)
|
||||
rollupResultCacheV.PutSeries(nil, ec, ae, window, tss)
|
||||
tss, newStart := rollupResultCacheV.GetSeries(nil, ec, ae, window)
|
||||
if newStart != 1400 {
|
||||
t.Fatalf("unexpected newStart; got %d; want %d", newStart, 1400)
|
||||
}
|
||||
|
|
@ -123,8 +123,8 @@ func TestRollupResultCache(t *testing.T) {
|
|||
Values: []float64{333, 0, 1, 2},
|
||||
},
|
||||
}
|
||||
rollupResultCacheV.Put(nil, ec, fe, window, tss)
|
||||
tss, newStart := rollupResultCacheV.Get(nil, ec, fe, window)
|
||||
rollupResultCacheV.PutSeries(nil, ec, fe, window, tss)
|
||||
tss, newStart := rollupResultCacheV.GetSeries(nil, ec, fe, window)
|
||||
if newStart != 1000 {
|
||||
t.Fatalf("unexpected newStart; got %d; want %d", newStart, 1000)
|
||||
}
|
||||
|
|
@ -142,8 +142,8 @@ func TestRollupResultCache(t *testing.T) {
|
|||
Values: []float64{0, 1, 2},
|
||||
},
|
||||
}
|
||||
rollupResultCacheV.Put(nil, ec, fe, window, tss)
|
||||
tss, newStart := rollupResultCacheV.Get(nil, ec, fe, window)
|
||||
rollupResultCacheV.PutSeries(nil, ec, fe, window, tss)
|
||||
tss, newStart := rollupResultCacheV.GetSeries(nil, ec, fe, window)
|
||||
if newStart != 1000 {
|
||||
t.Fatalf("unexpected newStart; got %d; want %d", newStart, 1000)
|
||||
}
|
||||
|
|
@ -161,8 +161,8 @@ func TestRollupResultCache(t *testing.T) {
|
|||
Values: []float64{0, 1, 2},
|
||||
},
|
||||
}
|
||||
rollupResultCacheV.Put(nil, ec, fe, window, tss)
|
||||
tss, newStart := rollupResultCacheV.Get(nil, ec, fe, window)
|
||||
rollupResultCacheV.PutSeries(nil, ec, fe, window, tss)
|
||||
tss, newStart := rollupResultCacheV.GetSeries(nil, ec, fe, window)
|
||||
if newStart != 1000 {
|
||||
t.Fatalf("unexpected newStart; got %d; want %d", newStart, 1000)
|
||||
}
|
||||
|
|
@ -180,8 +180,8 @@ func TestRollupResultCache(t *testing.T) {
|
|||
Values: []float64{0, 1, 2},
|
||||
},
|
||||
}
|
||||
rollupResultCacheV.Put(nil, ec, fe, window, tss)
|
||||
tss, newStart := rollupResultCacheV.Get(nil, ec, fe, window)
|
||||
rollupResultCacheV.PutSeries(nil, ec, fe, window, tss)
|
||||
tss, newStart := rollupResultCacheV.GetSeries(nil, ec, fe, window)
|
||||
if newStart != 1000 {
|
||||
t.Fatalf("unexpected newStart; got %d; want %d", newStart, 1000)
|
||||
}
|
||||
|
|
@ -199,8 +199,8 @@ func TestRollupResultCache(t *testing.T) {
|
|||
Values: []float64{0, 1, 2, 3, 4, 5, 6, 7},
|
||||
},
|
||||
}
|
||||
rollupResultCacheV.Put(nil, ec, fe, window, tss)
|
||||
tss, newStart := rollupResultCacheV.Get(nil, ec, fe, window)
|
||||
rollupResultCacheV.PutSeries(nil, ec, fe, window, tss)
|
||||
tss, newStart := rollupResultCacheV.GetSeries(nil, ec, fe, window)
|
||||
if newStart != 2200 {
|
||||
t.Fatalf("unexpected newStart; got %d; want %d", newStart, 2200)
|
||||
}
|
||||
|
|
@ -222,8 +222,8 @@ func TestRollupResultCache(t *testing.T) {
|
|||
Values: []float64{1, 2, 3, 4, 5, 6},
|
||||
},
|
||||
}
|
||||
rollupResultCacheV.Put(nil, ec, fe, window, tss)
|
||||
tss, newStart := rollupResultCacheV.Get(nil, ec, fe, window)
|
||||
rollupResultCacheV.PutSeries(nil, ec, fe, window, tss)
|
||||
tss, newStart := rollupResultCacheV.GetSeries(nil, ec, fe, window)
|
||||
if newStart != 2200 {
|
||||
t.Fatalf("unexpected newStart; got %d; want %d", newStart, 2200)
|
||||
}
|
||||
|
|
@ -247,8 +247,8 @@ func TestRollupResultCache(t *testing.T) {
|
|||
}
|
||||
tss = append(tss, ts)
|
||||
}
|
||||
rollupResultCacheV.Put(nil, ec, fe, window, tss)
|
||||
tssResult, newStart := rollupResultCacheV.Get(nil, ec, fe, window)
|
||||
rollupResultCacheV.PutSeries(nil, ec, fe, window, tss)
|
||||
tssResult, newStart := rollupResultCacheV.GetSeries(nil, ec, fe, window)
|
||||
if newStart != 2200 {
|
||||
t.Fatalf("unexpected newStart; got %d; want %d", newStart, 2200)
|
||||
}
|
||||
|
|
@ -276,10 +276,10 @@ func TestRollupResultCache(t *testing.T) {
|
|||
Values: []float64{0, 1, 2},
|
||||
},
|
||||
}
|
||||
rollupResultCacheV.Put(nil, ec, fe, window, tss1)
|
||||
rollupResultCacheV.Put(nil, ec, fe, window, tss2)
|
||||
rollupResultCacheV.Put(nil, ec, fe, window, tss3)
|
||||
tss, newStart := rollupResultCacheV.Get(nil, ec, fe, window)
|
||||
rollupResultCacheV.PutSeries(nil, ec, fe, window, tss1)
|
||||
rollupResultCacheV.PutSeries(nil, ec, fe, window, tss2)
|
||||
rollupResultCacheV.PutSeries(nil, ec, fe, window, tss3)
|
||||
tss, newStart := rollupResultCacheV.GetSeries(nil, ec, fe, window)
|
||||
if newStart != 1400 {
|
||||
t.Fatalf("unexpected newStart; got %d; want %d", newStart, 1400)
|
||||
}
|
||||
|
|
@ -311,7 +311,10 @@ func TestMergeTimeseries(t *testing.T) {
|
|||
Values: []float64{1, 2, 3, 4, 5, 6},
|
||||
},
|
||||
}
|
||||
tss := mergeTimeseries(a, b, 1000, ec)
|
||||
tss, err := mergeTimeseries(nil, a, b, 1000, ec)
|
||||
if err != nil {
|
||||
t.Fatalf("unexpected error: %s", err)
|
||||
}
|
||||
tssExpected := []*timeseries{
|
||||
{
|
||||
Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000},
|
||||
|
|
@ -328,7 +331,10 @@ func TestMergeTimeseries(t *testing.T) {
|
|||
Values: []float64{3, 4, 5, 6},
|
||||
},
|
||||
}
|
||||
tss := mergeTimeseries(a, b, bStart, ec)
|
||||
tss, err := mergeTimeseries(nil, a, b, bStart, ec)
|
||||
if err != nil {
|
||||
t.Fatalf("unexpected error: %s", err)
|
||||
}
|
||||
tssExpected := []*timeseries{
|
||||
{
|
||||
Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000},
|
||||
|
|
@ -345,7 +351,10 @@ func TestMergeTimeseries(t *testing.T) {
|
|||
},
|
||||
}
|
||||
b := []*timeseries{}
|
||||
tss := mergeTimeseries(a, b, bStart, ec)
|
||||
tss, err := mergeTimeseries(nil, a, b, bStart, ec)
|
||||
if err != nil {
|
||||
t.Fatalf("unexpected error: %s", err)
|
||||
}
|
||||
tssExpected := []*timeseries{
|
||||
{
|
||||
Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000},
|
||||
|
|
@ -367,7 +376,10 @@ func TestMergeTimeseries(t *testing.T) {
|
|||
Values: []float64{3, 4, 5, 6},
|
||||
},
|
||||
}
|
||||
tss := mergeTimeseries(a, b, bStart, ec)
|
||||
tss, err := mergeTimeseries(nil, a, b, bStart, ec)
|
||||
if err != nil {
|
||||
t.Fatalf("unexpected error: %s", err)
|
||||
}
|
||||
tssExpected := []*timeseries{
|
||||
{
|
||||
Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000},
|
||||
|
|
@ -391,7 +403,10 @@ func TestMergeTimeseries(t *testing.T) {
|
|||
},
|
||||
}
|
||||
b[0].MetricName.MetricGroup = []byte("foo")
|
||||
tss := mergeTimeseries(a, b, bStart, ec)
|
||||
tss, err := mergeTimeseries(nil, a, b, bStart, ec)
|
||||
if err != nil {
|
||||
t.Fatalf("unexpected error: %s", err)
|
||||
}
|
||||
tssExpected := []*timeseries{
|
||||
{
|
||||
MetricName: storage.MetricName{
|
||||
|
|
|
|||
|
|
@ -79,7 +79,10 @@ var timeseriesPool sync.Pool
|
|||
|
||||
func marshalTimeseriesFast(dst []byte, tss []*timeseries, maxSize int, step int64) []byte {
|
||||
if len(tss) == 0 {
|
||||
logger.Panicf("BUG: tss cannot be empty")
|
||||
// marshal zero timeseries and zero timestamps
|
||||
dst = encoding.MarshalUint64(dst, 0)
|
||||
dst = encoding.MarshalUint64(dst, 0)
|
||||
return dst
|
||||
}
|
||||
|
||||
// timestamps are stored only once for all the tss, since they must be identical
|
||||
|
|
|
|||
|
|
@ -33,6 +33,13 @@ The sandbox cluster installation is running under the constant load generated by
|
|||
|
||||
* SECURITY: upgrade Go builder from Go1.21.1 to Go1.21.3. See [the list of issues addressed in Go1.21.2](https://github.com/golang/go/issues?q=milestone%3AGo1.21.2+label%3ACherryPickApproved) and [the list of issues addressed in Go1.21.3](https://github.com/golang/go/issues?q=milestone%3AGo1.21.3+label%3ACherryPickApproved).
|
||||
|
||||
* FEATURE: `vmselect`: improve performance for repeated [instant queries](https://docs.victoriametrics.com/keyConcepts.html#instant-query) if they contain one of the following [rollup functions](https://docs.victoriametrics.com/MetricsQL.html#rollup-functions) with lookbehind window in square brackets bigger or equal to 1 day:
|
||||
- [sum_over_time](https://docs.victoriametrics.com/MetricsQL.html#sum_over_time)
|
||||
- [count_over_time](https://docs.victoriametrics.com/MetricsQL.html#count_over_time)
|
||||
- [avg_over_time](https://docs.victoriametrics.com/MetricsQL.html#avg_over_time)
|
||||
- [increase](https://docs.victoriametrics.com/MetricsQL.html#increase)
|
||||
- [rate](https://docs.victoriametrics.com/MetricsQL.html#rate)
|
||||
These functions are usually used in SLO/SLI queries such as `avg_over_time(up[30d])` or `sum(rate(http_request_errors_total[3d])) / sum(rate(http_requests_total[3d]))`.
|
||||
* FEATURE: `vmselect`: improve query performance on systems with big number of CPU cores (`>=32`). Add `-search.maxWorkersPerQuery` command-line flag, which can be used for fine-tuning query performance on systems with big number of CPU cores. See [this pull request](https://github.com/VictoriaMetrics/VictoriaMetrics/pull/5195).
|
||||
* FEATURE: `vmselect`: expose `vm_memory_intensive_queries_total` counter metric which gets increased each time `-search.logQueryMemoryUsage` memory limit is exceeded by a query. This metric should help to identify expensive and heavy queries without inspecting the logs.
|
||||
* FEATURE: [MetricsQL](https://docs.victoriametrics.com/MetricsQL.html): add [drop_empty_series()](https://docs.victoriametrics.com/MetricsQL.html#drop_empty_series) function, which can be used for filtering out empty series before performing additional calculations as shown in [this issue](https://github.com/VictoriaMetrics/VictoriaMetrics/issues/5071).
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