package promql import ( "testing" "github.com/VictoriaMetrics/VictoriaMetrics/lib/auth" "github.com/VictoriaMetrics/VictoriaMetrics/lib/storage" ) func TestRollupResultCache(t *testing.T) { ResetRollupResultCache() funcName := "foo" window := int64(456) ec := &EvalConfig{ Start: 1000, End: 2000, Step: 200, AuthToken: &auth.Token{ AccountID: 333, ProjectID: 843, }, MayCache: true, } me := &metricExpr{ TagFilters: []storage.TagFilter{{ Key: []byte("aaa"), Value: []byte("xxx"), }}, } // Try obtaining an empty value. t.Run("empty", func(t *testing.T) { tss, newStart := rollupResultCacheV.Get(funcName, ec, me, 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", func(t *testing.T) { ResetRollupResultCache() tss := []*timeseries{ { Timestamps: []int64{800, 1000, 1200}, Values: []float64{0, 1, 2}, }, } rollupResultCacheV.Put(funcName, ec, me, window, tss) tss, newStart := rollupResultCacheV.Get(funcName, ec, me, 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.Put(funcName, ec, me, window, tss) tss, newStart := rollupResultCacheV.Get(funcName, ec, me, 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.Put(funcName, ec, me, window, tss) tss, newStart := rollupResultCacheV.Get(funcName, ec, me, 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.Put(funcName, ec, me, window, tss) tss, newStart := rollupResultCacheV.Get(funcName, ec, me, 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.Put(funcName, ec, me, window, tss) tss, newStart := rollupResultCacheV.Get(funcName, ec, me, 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.Put(funcName, ec, me, window, tss) tss, newStart := rollupResultCacheV.Get(funcName, ec, me, 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.Put(funcName, ec, me, window, tss) tss, newStart := rollupResultCacheV.Get(funcName, ec, me, 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}, } tss = append(tss, ts) } rollupResultCacheV.Put(funcName, ec, me, window, tss) tssResult, newStart := rollupResultCacheV.Get(funcName, ec, me, window) if newStart != 2200 { t.Fatalf("unexpected newStart; got %d; want %d", newStart, 2200) } testTimeseriesEqual(t, tssResult, tss) }) // 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.Put(funcName, ec, me, window, tss1) rollupResultCacheV.Put(funcName, ec, me, window, tss2) rollupResultCacheV.Put(funcName, ec, me, window, tss3) tss, newStart := rollupResultCacheV.Get(funcName, ec, me, 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 TestMergeTimeseries(t *testing.T) { ec := &EvalConfig{ Start: 1000, End: 2000, Step: 200, } 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 := mergeTimeseries(a, b, 1000, ec) 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 := mergeTimeseries(a, b, bStart, ec) 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 := mergeTimeseries(a, b, bStart, ec) 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 := mergeTimeseries(a, b, bStart, ec) 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 := mergeTimeseries(a, b, bStart, ec) 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) }) } 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) testRowsEqual(t, ts.Values, ts.Timestamps, tsExpected.Values, tsExpected.Timestamps) } }