package executor import ( "fmt" "strings" "testing" "time" "github.com/apache/arrow-go/v18/arrow" "github.com/apache/arrow-go/v18/arrow/array" "github.com/stretchr/testify/require" "github.com/grafana/loki/v3/pkg/engine/internal/planner/physical" "github.com/grafana/loki/v3/pkg/engine/internal/semconv" "github.com/grafana/loki/v3/pkg/engine/internal/types" ) func TestVectorAggregationPipeline(t *testing.T) { // input schema with timestamp, value and group by columns fields := []arrow.Field{ semconv.FieldFromIdent(semconv.ColumnIdentTimestamp, false), semconv.FieldFromIdent(semconv.ColumnIdentValue, false), semconv.FieldFromFQN("utf8.label.env", true), semconv.FieldFromFQN("utf8.label.service", true), } now := time.Now().UTC() t1 := now.Add(-10 * time.Minute) t2 := now.Add(-5 * time.Minute) t3 := now input1CSV := strings.Join([]string{ // t1 data fmt.Sprintf("%s,10,prod,app1", t1.Format(arrowTimestampFormat)), fmt.Sprintf("%s,20,prod,app2", t1.Format(arrowTimestampFormat)), fmt.Sprintf("%s,30,dev,app1", t1.Format(arrowTimestampFormat)), // t2 data fmt.Sprintf("%s,15,prod,app1", t2.Format(arrowTimestampFormat)), fmt.Sprintf("%s,25,prod,app2", t2.Format(arrowTimestampFormat)), fmt.Sprintf("%s,35,dev,app2", t2.Format(arrowTimestampFormat)), // t3 data fmt.Sprintf("%s,40,prod,app1", t3.Format(arrowTimestampFormat)), fmt.Sprintf("%s,50,prod,app2", t3.Format(arrowTimestampFormat)), fmt.Sprintf("%s,60,dev,app1", t3.Format(arrowTimestampFormat)), }, "\n") input2CSV := strings.Join([]string{ // t1 data fmt.Sprintf("%s,5,prod,app1", t1.Format(arrowTimestampFormat)), fmt.Sprintf("%s,15,dev,app2", t1.Format(arrowTimestampFormat)), // t2 data fmt.Sprintf("%s,10,prod,app1", t2.Format(arrowTimestampFormat)), fmt.Sprintf("%s,20,dev,app1", t2.Format(arrowTimestampFormat)), // t3 data fmt.Sprintf("%s,30,prod,app2", t3.Format(arrowTimestampFormat)), fmt.Sprintf("%s,40,dev,app2", t3.Format(arrowTimestampFormat)), }, "\n") input1Record, err := CSVToArrow(fields, input1CSV) require.NoError(t, err) input2Record, err := CSVToArrow(fields, input2CSV) require.NoError(t, err) // Create input pipelines input1 := NewBufferedPipeline(input1Record) input2 := NewBufferedPipeline(input2Record) // Create group by expressions grouping := physical.Grouping{ Columns: []physical.ColumnExpression{ &physical.ColumnExpr{ Ref: types.ColumnRef{ Column: "env", Type: types.ColumnTypeAmbiguous, }, }, &physical.ColumnExpr{ Ref: types.ColumnRef{ Column: "service", Type: types.ColumnTypeAmbiguous, }, }, }, Without: false, } pipeline, err := newVectorAggregationPipeline([]Pipeline{input1, input2}, grouping, newExpressionEvaluator(), types.VectorAggregationTypeSum, nil) require.NoError(t, err) defer pipeline.Close() // Read the pipeline output record, err := pipeline.Read(t.Context()) require.NoError(t, err) // Define expected results - sum of values for each group at each timestamp expected := map[time.Time]map[string]float64{ t1: { "prod,app1": 15, // 10 + 5 "prod,app2": 20, // 20 "dev,app1": 30, // 30 "dev,app2": 15, // 15 }, t2: { "prod,app1": 25, // 15 + 10 "prod,app2": 25, // 25 "dev,app1": 20, // 20 "dev,app2": 35, // 35 }, t3: { "prod,app1": 40, // 40 "prod,app2": 80, // 50 + 30 "dev,app1": 60, // 60 "dev,app2": 40, // 40 }, } // Verify results actual := make(map[time.Time]map[string]float64) for i := range int(record.NumRows()) { ts := record.Column(0).(*array.Timestamp).Value(i).ToTime(arrow.Nanosecond) value := record.Column(1).(*array.Float64).Value(i) env := record.Column(2).(*array.String).Value(i) service := record.Column(3).(*array.String).Value(i) key := fmt.Sprintf("%s,%s", env, service) if _, ok := actual[ts]; !ok { actual[ts] = make(map[string]float64) } actual[ts][key] = value } // Verify each timestamp's values for each group for ts, groups := range expected { require.Contains(t, actual, ts, "timestamp %v should exist", ts) for group, expectedValue := range groups { require.Contains(t, actual[ts], group, "group %s should exist at timestamp %v", group, ts) require.Equal(t, expectedValue, actual[ts][group], "value mismatch for group %s at timestamp %v", group, ts) } } }