package promql import ( "fmt" "testing" "github.com/VictoriaMetrics/VictoriaMetrics/lib/fs" "github.com/VictoriaMetrics/VictoriaMetrics/lib/storage" "github.com/VictoriaMetrics/metricsql" ) func TestRollupResultCacheInitStop(t *testing.T) { t.Run("inmemory", func(_ *testing.T) { for i := 0; i < 5; i++ { InitRollupResultCache("") StopRollupResultCache() } }) t.Run("file-based", func(_ *testing.T) { cacheFilePath := "test-rollup-result-cache" for i := 0; i < 3; i++ { InitRollupResultCache(cacheFilePath) StopRollupResultCache() } fs.MustRemoveAll(cacheFilePath) fs.MustRemoveAll(cacheFilePath + ".key.prefix") }) } func TestRollupResultCache(t *testing.T) { InitRollupResultCache("") defer StopRollupResultCache() ResetRollupResultCache() window := int64(456) ec := &EvalConfig{ Start: 1000, End: 2000, Step: 200, MaxPointsPerSeries: 1e4, MayCache: true, } me := &metricsql.MetricExpr{ LabelFilterss: [][]metricsql.LabelFilter{ { { Label: "aaa", Value: "xxx", }, }, }, } fe := &metricsql.FuncExpr{ Name: "foo", Args: []metricsql.Expr{me}, } ae := &metricsql.AggrFuncExpr{ Name: "foobar", Args: []metricsql.Expr{fe}, } // Try obtaining an empty value. t.Run("empty", func(t *testing.T) { tss, newStart := rollupResultCacheV.GetSeries(nil, ec, fe, window) if newStart != ec.Start { t.Fatalf("unexpected newStart; got %d; want %d", newStart, ec.Start) } if len(tss) != 0 { t.Fatalf("got %d timeseries, while expecting zero", len(tss)) } }) // Store timeseries overlapping with start t.Run("start-overlap-no-ae", func(t *testing.T) { ResetRollupResultCache() tss := []*timeseries{ { Timestamps: []int64{800, 1000, 1200}, Values: []float64{0, 1, 2}, }, } 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) } tssExpected := []*timeseries{ { Timestamps: []int64{1000, 1200}, Values: []float64{1, 2}, }, } testTimeseriesEqual(t, tss, tssExpected) }) t.Run("start-overlap-with-ae", func(t *testing.T) { ResetRollupResultCache() tss := []*timeseries{ { Timestamps: []int64{800, 1000, 1200}, Values: []float64{0, 1, 2}, }, } 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) } tssExpected := []*timeseries{ { Timestamps: []int64{1000, 1200}, Values: []float64{1, 2}, }, } testTimeseriesEqual(t, tss, tssExpected) }) // Store timeseries overlapping with end t.Run("end-overlap", func(t *testing.T) { ResetRollupResultCache() tss := []*timeseries{ { Timestamps: []int64{1800, 2000, 2200, 2400}, Values: []float64{333, 0, 1, 2}, }, } 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) } if len(tss) != 0 { t.Fatalf("got %d timeseries, while expecting zero", len(tss)) } }) // Store timeseries covered by [start ... end] t.Run("full-cover", func(t *testing.T) { ResetRollupResultCache() tss := []*timeseries{ { Timestamps: []int64{1200, 1400, 1600}, Values: []float64{0, 1, 2}, }, } 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) } if len(tss) != 0 { t.Fatalf("got %d timeseries, while expecting zero", len(tss)) } }) // Store timeseries below start t.Run("before-start", func(t *testing.T) { ResetRollupResultCache() tss := []*timeseries{ { Timestamps: []int64{200, 400, 600}, Values: []float64{0, 1, 2}, }, } 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) } if len(tss) != 0 { t.Fatalf("got %d timeseries, while expecting zero", len(tss)) } }) // Store timeseries after end t.Run("after-end", func(t *testing.T) { ResetRollupResultCache() tss := []*timeseries{ { Timestamps: []int64{2200, 2400, 2600}, Values: []float64{0, 1, 2}, }, } 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) } if len(tss) != 0 { t.Fatalf("got %d timeseries, while expecting zero", len(tss)) } }) // Store timeseries bigger than the interval [start ... end] t.Run("bigger-than-start-end", func(t *testing.T) { ResetRollupResultCache() tss := []*timeseries{ { Timestamps: []int64{800, 1000, 1200, 1400, 1600, 1800, 2000, 2200}, Values: []float64{0, 1, 2, 3, 4, 5, 6, 7}, }, } 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) } tssExpected := []*timeseries{ { Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000}, Values: []float64{1, 2, 3, 4, 5, 6}, }, } testTimeseriesEqual(t, tss, tssExpected) }) // Store timeseries matching the interval [start ... end] t.Run("start-end-match", func(t *testing.T) { ResetRollupResultCache() tss := []*timeseries{ { Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000}, Values: []float64{1, 2, 3, 4, 5, 6}, }, } 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) } tssExpected := []*timeseries{ { Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000}, Values: []float64{1, 2, 3, 4, 5, 6}, }, } testTimeseriesEqual(t, tss, tssExpected) }) // Store big timeseries, so their marshaled size exceeds 64Kb. t.Run("big-timeseries", func(t *testing.T) { ResetRollupResultCache() var tss []*timeseries for i := 0; i < 1000; i++ { ts := ×eries{ Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000}, Values: []float64{1, 2, 3, 4, 5, 6}, } ts.MetricName.MetricGroup = []byte(fmt.Sprintf("metric %d", i)) tss = append(tss, ts) } 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) } testTimeseriesEqual(t, tssResult, tss) }) // Store series with identical naming (they shouldn't be stored) t.Run("duplicate-series", func(t *testing.T) { ResetRollupResultCache() tss := []*timeseries{ { Timestamps: []int64{800, 1000, 1200}, Values: []float64{0, 1, 2}, }, { Timestamps: []int64{800, 1000, 1200}, Values: []float64{0, 1, 2}, }, } rollupResultCacheV.PutSeries(nil, ec, fe, window, tss) tssResult, newStart := rollupResultCacheV.GetSeries(nil, ec, fe, window) if newStart != ec.Start { t.Fatalf("unexpected newStart; got %d; want %d", newStart, ec.Start) } if len(tssResult) != 0 { t.Fatalf("unexpected non-empty series returned") } }) // Store multiple time series t.Run("multi-timeseries", func(t *testing.T) { ResetRollupResultCache() tss1 := []*timeseries{ { Timestamps: []int64{800, 1000, 1200}, Values: []float64{0, 1, 2}, }, } tss2 := []*timeseries{ { Timestamps: []int64{1800, 2000, 2200, 2400}, Values: []float64{333, 0, 1, 2}, }, } tss3 := []*timeseries{ { Timestamps: []int64{1200, 1400, 1600}, Values: []float64{0, 1, 2}, }, } 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) } tssExpected := []*timeseries{ { Timestamps: []int64{1000, 1200}, Values: []float64{1, 2}, }, } testTimeseriesEqual(t, tss, tssExpected) }) } func TestMergeSeries(t *testing.T) { ec := &EvalConfig{ Start: 1000, End: 2000, Step: 200, MaxPointsPerSeries: 1e4, } bStart := int64(1400) t.Run("bStart=ec.Start", func(t *testing.T) { a := []*timeseries{} b := []*timeseries{ { Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000}, Values: []float64{1, 2, 3, 4, 5, 6}, }, } tss, ok := mergeSeries(nil, a, b, 1000, ec) if !ok { t.Fatalf("unexpected failure to merge series") } tssExpected := []*timeseries{ { Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000}, Values: []float64{1, 2, 3, 4, 5, 6}, }, } testTimeseriesEqual(t, tss, tssExpected) }) t.Run("a-empty", func(t *testing.T) { a := []*timeseries{} b := []*timeseries{ { Timestamps: []int64{1400, 1600, 1800, 2000}, Values: []float64{3, 4, 5, 6}, }, } tss, ok := mergeSeries(nil, a, b, bStart, ec) if !ok { t.Fatalf("unexpected failure to merge series") } tssExpected := []*timeseries{ { Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000}, Values: []float64{nan, nan, 3, 4, 5, 6}, }, } testTimeseriesEqual(t, tss, tssExpected) }) t.Run("b-empty", func(t *testing.T) { a := []*timeseries{ { Timestamps: []int64{1000, 1200}, Values: []float64{2, 1}, }, } b := []*timeseries{} tss, ok := mergeSeries(nil, a, b, bStart, ec) if !ok { t.Fatalf("unexpected failure to merge series") } tssExpected := []*timeseries{ { Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000}, Values: []float64{2, 1, nan, nan, nan, nan}, }, } testTimeseriesEqual(t, tss, tssExpected) }) t.Run("non-empty", func(t *testing.T) { a := []*timeseries{ { Timestamps: []int64{1000, 1200}, Values: []float64{2, 1}, }, } b := []*timeseries{ { Timestamps: []int64{1400, 1600, 1800, 2000}, Values: []float64{3, 4, 5, 6}, }, } tss, ok := mergeSeries(nil, a, b, bStart, ec) if !ok { t.Fatalf("unexpected failure to merge series") } tssExpected := []*timeseries{ { Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000}, Values: []float64{2, 1, 3, 4, 5, 6}, }, } testTimeseriesEqual(t, tss, tssExpected) }) t.Run("non-empty-distinct-metric-names", func(t *testing.T) { a := []*timeseries{ { Timestamps: []int64{1000, 1200}, Values: []float64{2, 1}, }, } a[0].MetricName.MetricGroup = []byte("bar") b := []*timeseries{ { Timestamps: []int64{1400, 1600, 1800, 2000}, Values: []float64{3, 4, 5, 6}, }, } b[0].MetricName.MetricGroup = []byte("foo") tss, ok := mergeSeries(nil, a, b, bStart, ec) if !ok { t.Fatalf("unexpected failure to merge series") } tssExpected := []*timeseries{ { MetricName: storage.MetricName{ MetricGroup: []byte("foo"), }, Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000}, Values: []float64{nan, nan, 3, 4, 5, 6}, }, { MetricName: storage.MetricName{ MetricGroup: []byte("bar"), }, Timestamps: []int64{1000, 1200, 1400, 1600, 1800, 2000}, Values: []float64{2, 1, nan, nan, nan, nan}, }, } testTimeseriesEqual(t, tss, tssExpected) }) t.Run("duplicate-series-a", func(t *testing.T) { a := []*timeseries{ { Timestamps: []int64{1000, 1200}, Values: []float64{2, 1}, }, { Timestamps: []int64{1000, 1200}, Values: []float64{3, 3}, }, } b := []*timeseries{ { Timestamps: []int64{1400, 1600, 1800, 2000}, Values: []float64{3, 4, 5, 6}, }, } tss, ok := mergeSeries(nil, a, b, bStart, ec) if ok { t.Fatalf("expecting failre to merge series") } testTimeseriesEqual(t, tss, nil) }) t.Run("duplicate-series-b", func(t *testing.T) { a := []*timeseries{ { Timestamps: []int64{1000, 1200}, Values: []float64{1, 2}, }, } b := []*timeseries{ { Timestamps: []int64{1400, 1600, 1800, 2000}, Values: []float64{3, 4, 5, 6}, }, { Timestamps: []int64{1400, 1600, 1800, 2000}, Values: []float64{13, 14, 15, 16}, }, } tss, ok := mergeSeries(nil, a, b, bStart, ec) if ok { t.Fatalf("expecting failre to merge series") } testTimeseriesEqual(t, tss, nil) }) } func testTimeseriesEqual(t *testing.T, tss, tssExpected []*timeseries) { t.Helper() if len(tss) != len(tssExpected) { t.Fatalf(`unexpected timeseries count; got %d; want %d`, len(tss), len(tssExpected)) } for i, ts := range tss { tsExpected := tssExpected[i] testMetricNamesEqual(t, &ts.MetricName, &tsExpected.MetricName, i) testRowsEqual(t, ts.Values, ts.Timestamps, tsExpected.Values, tsExpected.Timestamps) } }