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CloudWatch/Logs: Don't group dataframes for non time series queries (#37998)
* Don't split response when there is no time field * Refactor grouping to separate function * Add test
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@ -270,33 +270,9 @@ func (e *cloudWatchExecutor) startLiveQuery(ctx context.Context, responseChannel
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dataFrame.Name = query.RefID
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dataFrame.RefID = query.RefID
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var dataFrames data.Frames
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// When a query of the form "stats ... by ..." is made, we want to return
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// one series per group defined in the query, but due to the format
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// the query response is in, there does not seem to be a way to tell
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// by the response alone if/how the results should be grouped.
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// Because of this, if the frontend sees that a "stats ... by ..." query is being made
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// the "statsGroups" parameter is sent along with the query to the backend so that we
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// can correctly group the CloudWatch logs response.
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statsGroups := model.Get("statsGroups").MustStringArray()
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if len(statsGroups) > 0 && len(dataFrame.Fields) > 0 {
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groupedFrames, err := groupResults(dataFrame, statsGroups)
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if err != nil {
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return retryer.FuncError, err
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}
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dataFrames = groupedFrames
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} else {
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if dataFrame.Meta != nil {
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dataFrame.Meta.PreferredVisualization = "logs"
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} else {
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dataFrame.Meta = &data.FrameMeta{
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PreferredVisualization: "logs",
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}
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}
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dataFrames = data.Frames{dataFrame}
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dataFrames, err := groupResponseFrame(dataFrame, model.Get("statsGroups").MustStringArray())
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if err != nil {
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return retryer.FuncError, fmt.Errorf("failed to group dataframe response: %v", err)
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}
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responseChannel <- &backend.QueryDataResponse{
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@ -317,6 +293,54 @@ func (e *cloudWatchExecutor) startLiveQuery(ctx context.Context, responseChannel
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}, maxAttempts, minRetryDelay, maxRetryDelay)
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}
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func groupResponseFrame(frame *data.Frame, statsGroups []string) (data.Frames, error) {
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var dataFrames data.Frames
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// When a query of the form "stats ... by ..." is made, we want to return
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// one series per group defined in the query, but due to the format
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// the query response is in, there does not seem to be a way to tell
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// by the response alone if/how the results should be grouped.
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// Because of this, if the frontend sees that a "stats ... by ..." query is being made
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// the "statsGroups" parameter is sent along with the query to the backend so that we
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// can correctly group the CloudWatch logs response.
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// Check if we have time field though as it makes sense to split only for time series.
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if hasTimeField(frame) {
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if len(statsGroups) > 0 && len(frame.Fields) > 0 {
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groupedFrames, err := groupResults(frame, statsGroups)
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if err != nil {
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return nil, err
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}
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dataFrames = groupedFrames
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} else {
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setPreferredVisType(frame, "logs")
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dataFrames = data.Frames{frame}
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}
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} else {
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dataFrames = data.Frames{frame}
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}
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return dataFrames, nil
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}
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func hasTimeField(frame *data.Frame) bool {
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for _, field := range frame.Fields {
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if field.Type() == data.FieldTypeNullableTime {
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return true
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}
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}
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return false
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}
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func setPreferredVisType(frame *data.Frame, visType data.VisType) {
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if frame.Meta != nil {
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frame.Meta.PreferredVisualization = visType
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} else {
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frame.Meta = &data.FrameMeta{
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PreferredVisualization: visType,
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}
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}
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}
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// Service quotas client factory.
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//
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// Stubbable by tests.
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31
pkg/tsdb/cloudwatch/live_test.go
Normal file
31
pkg/tsdb/cloudwatch/live_test.go
Normal file
@ -0,0 +1,31 @@
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package cloudwatch
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import (
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"testing"
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"github.com/grafana/grafana-plugin-sdk-go/data"
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"github.com/stretchr/testify/require"
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)
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func TestGroupResponseFrame(t *testing.T) {
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t.Run("Doesn't group results without time field", func(t *testing.T) {
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frame := data.NewFrameOfFieldTypes("test", 0, data.FieldTypeString, data.FieldTypeInt32)
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frame.AppendRow("val1", int32(10))
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frame.AppendRow("val2", int32(20))
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frame.AppendRow("val3", int32(30))
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groupedFrame, err := groupResponseFrame(frame, []string{"something"})
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require.NoError(t, err)
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require.Equal(t, 3, groupedFrame[0].Rows())
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require.Equal(t, []interface{}{"val1", "val2", "val3"}, asArray(groupedFrame[0].Fields[0]))
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require.Equal(t, []interface{}{int32(10), int32(20), int32(30)}, asArray(groupedFrame[0].Fields[1]))
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})
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}
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func asArray(field *data.Field) []interface{} {
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var vals []interface{}
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for i := 0; i < field.Len(); i++ {
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vals = append(vals, field.At(i))
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}
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return vals
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}
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