89 lines
3.3 KiB
Go

package telemetrymeter
import (
"github.com/SigNoz/signoz/pkg/types/metrictypes"
)
const (
DBName = "signoz_meter"
SamplesTableName = "distributed_samples"
SamplesLocalTableName = "samples"
SamplesV4Agg1dTableName = "distributed_samples_agg_1d"
SamplesV4Agg1dLocalTableName = "samples_agg_1d"
AttributesMetadataTableName = "distributed_metadata"
AttributesMetadataLocalTableName = "metadata"
)
func AggregationColumnForSamplesTable(
temporality metrictypes.Temporality,
timeAggregation metrictypes.TimeAggregation,
tableHints *metrictypes.MetricTableHints,
) string {
var aggregationColumn string
switch temporality {
case metrictypes.Delta:
// for delta metrics, we only support `RATE`/`INCREASE` both of which are sum
// although it doesn't make sense to use anyLast, avg, min, max, count on delta metrics,
// we are keeping it here to make sure that query will not be invalid
switch timeAggregation {
case metrictypes.TimeAggregationLatest:
aggregationColumn = "anyLast(last)"
case metrictypes.TimeAggregationSum:
aggregationColumn = "sum(sum)"
case metrictypes.TimeAggregationAvg:
aggregationColumn = "sum(sum) / sum(count)"
case metrictypes.TimeAggregationMin:
aggregationColumn = "min(min)"
case metrictypes.TimeAggregationMax:
aggregationColumn = "max(max)"
case metrictypes.TimeAggregationCount:
aggregationColumn = "sum(count)"
// count_distinct is not supported in aggregated tables
case metrictypes.TimeAggregationRate, metrictypes.TimeAggregationIncrease: // only these two options give meaningful results
aggregationColumn = "sum(sum)"
}
case metrictypes.Cumulative:
// for cumulative metrics, we only support `RATE`/`INCREASE`. The max value in window is
// used to calculate the sum which is then divided by the window size to get the rate
switch timeAggregation {
case metrictypes.TimeAggregationLatest:
aggregationColumn = "anyLast(last)"
case metrictypes.TimeAggregationSum:
aggregationColumn = "sum(sum)"
case metrictypes.TimeAggregationAvg:
aggregationColumn = "sum(sum) / sum(count)"
case metrictypes.TimeAggregationMin:
aggregationColumn = "min(min)"
case metrictypes.TimeAggregationMax:
aggregationColumn = "max(max)"
case metrictypes.TimeAggregationCount:
aggregationColumn = "sum(count)"
// count_distinct is not supported in aggregated tables
case metrictypes.TimeAggregationRate, metrictypes.TimeAggregationIncrease: // only these two options give meaningful results
aggregationColumn = "max(max)"
}
case metrictypes.Unspecified:
switch timeAggregation {
case metrictypes.TimeAggregationLatest:
aggregationColumn = "anyLast(last)"
case metrictypes.TimeAggregationSum:
aggregationColumn = "sum(sum)"
case metrictypes.TimeAggregationAvg:
aggregationColumn = "sum(sum) / sum(count)"
case metrictypes.TimeAggregationMin:
aggregationColumn = "min(min)"
case metrictypes.TimeAggregationMax:
aggregationColumn = "max(max)"
case metrictypes.TimeAggregationCount:
aggregationColumn = "sum(count)"
// count_distinct is not supported in aggregated tables
case metrictypes.TimeAggregationRate, metrictypes.TimeAggregationIncrease: // ideally, this should never happen
aggregationColumn = "sum(sum)"
}
}
return aggregationColumn
}