package prometheus import ( "math" "reflect" "testing" "github.com/VictoriaMetrics/VictoriaMetrics/app/vmselect/netstorage" ) func TestRemoveEmptyValuesAndTimeseries(t *testing.T) { f := func(tss []netstorage.Result, tssExpected []netstorage.Result) { t.Helper() tss = removeEmptyValuesAndTimeseries(tss) if !reflect.DeepEqual(tss, tssExpected) { t.Fatalf("unexpected result; got %v; want %v", tss, tssExpected) } } f(nil, nil) f([]netstorage.Result{ { Timestamps: []int64{100, 200, 300}, Values: []float64{1, 2, 3}, }, { Timestamps: []int64{100, 200, 300, 400}, Values: []float64{nan, nan, 3, nan}, }, { Timestamps: []int64{1, 2}, Values: []float64{nan, nan}, }, { Timestamps: nil, Values: nil, }, }, []netstorage.Result{ { Timestamps: []int64{100, 200, 300}, Values: []float64{1, 2, 3}, }, { Timestamps: []int64{300}, Values: []float64{3}, }, }) } func TestAdjustLastPoints(t *testing.T) { f := func(tss []netstorage.Result, start, end int64, tssExpected []netstorage.Result) { t.Helper() tss = adjustLastPoints(tss, start, end) for i, ts := range tss { for j, value := range ts.Values { expectedValue := tssExpected[i].Values[j] if math.IsNaN(expectedValue) { if !math.IsNaN(value) { t.Fatalf("unexpected value for time series #%d at position %d; got %v; want nan", i, j, value) } } else if expectedValue != value { t.Fatalf("unexpected value for time series #%d at position %d; got %v; want %v", i, j, value, expectedValue) } } if !reflect.DeepEqual(ts.Timestamps, tssExpected[i].Timestamps) { t.Fatalf("unexpected timestamps for time series #%d; got %v; want %v", i, tss, tssExpected) } } } nan := math.NaN() f(nil, 300, 500, nil) f([]netstorage.Result{ { Timestamps: []int64{100, 200, 300, 400, 500}, Values: []float64{1, 2, 3, 4, nan}, }, { Timestamps: []int64{100, 200, 300, 400, 500}, Values: []float64{1, 2, 3, nan, nan}, }, }, 400, 500, []netstorage.Result{ { Timestamps: []int64{100, 200, 300, 400, 500}, Values: []float64{1, 2, 3, 4, 4}, }, { Timestamps: []int64{100, 200, 300, 400, 500}, Values: []float64{1, 2, 3, nan, nan}, }, }) f([]netstorage.Result{ { Timestamps: []int64{100, 200, 300, 400, 500}, Values: []float64{1, 2, 3, nan, nan}, }, { Timestamps: []int64{100, 200, 300, 400, 500}, Values: []float64{1, 2, nan, nan, nan}, }, }, 300, 500, []netstorage.Result{ { Timestamps: []int64{100, 200, 300, 400, 500}, Values: []float64{1, 2, 3, 3, 3}, }, { Timestamps: []int64{100, 200, 300, 400, 500}, Values: []float64{1, 2, nan, nan, nan}, }, }) f([]netstorage.Result{ { Timestamps: []int64{100, 200, 300, 400, 500}, Values: []float64{1, 2, nan, nan, nan}, }, { Timestamps: []int64{100, 200, 300, 400, 500}, Values: []float64{1, nan, nan, nan, nan}, }, }, 500, 300, []netstorage.Result{ { Timestamps: []int64{100, 200, 300, 400, 500}, Values: []float64{1, 2, nan, nan, nan}, }, { Timestamps: []int64{100, 200, 300, 400, 500}, Values: []float64{1, nan, nan, nan, nan}, }, }) f([]netstorage.Result{ { Timestamps: []int64{100, 200, 300, 400, 500}, Values: []float64{1, 2, 3, 4, nan}, }, { Timestamps: []int64{100, 200, 300, 400}, Values: []float64{1, 2, 3, 4}, }, }, 400, 500, []netstorage.Result{ { Timestamps: []int64{100, 200, 300, 400, 500}, Values: []float64{1, 2, 3, 4, 4}, }, { Timestamps: []int64{100, 200, 300, 400}, Values: []float64{1, 2, 3, 4}, }, }) f([]netstorage.Result{ { Timestamps: []int64{100, 200, 300, 400, 500}, Values: []float64{1, 2, 3, nan, nan}, }, { Timestamps: []int64{100, 200, 300}, Values: []float64{1, 2, nan}, }, }, 300, 600, []netstorage.Result{ { Timestamps: []int64{100, 200, 300, 400, 500}, Values: []float64{1, 2, 3, 3, 3}, }, { Timestamps: []int64{100, 200, 300}, Values: []float64{1, 2, nan}, }, }) // Check for timestamps outside the configured time range. // See https://github.com/VictoriaMetrics/VictoriaMetrics/issues/625 f([]netstorage.Result{ { Timestamps: []int64{100, 200, 300, 400, 500}, Values: []float64{1, 2, 3, nan, nan}, }, { Timestamps: []int64{100, 200, 300}, Values: []float64{1, 2, 45}, }, }, 250, 400, []netstorage.Result{ { Timestamps: []int64{100, 200, 300, 400, 500}, Values: []float64{1, 2, 3, nan, nan}, }, { Timestamps: []int64{100, 200, 300}, Values: []float64{1, 2, 2}, }, }) }