Optimize ordinal inputs in Values aggregation (#127849) #129009
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dnhatn
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Currently, time-series aggregations use the `values` aggregation to collect dimension values. While we might introduce a specialized aggregation for this in the future, for now, we are using `values`, and the inputs are likely ordinal blocks. This change speeds up the `values` aggregation when the inputs are ordinal-based. Execution time reduced from 461ms to 192ms for 1000 groups. ``` ValuesAggregatorBenchmark.run BytesRef 10000 avgt 7 461.938 ± 6.089 ms/op ValuesAggregatorBenchmark.run BytesRef 10000 avgt 7 192.898 ± 1.781 ms/op ```
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Backport of #127849 to 8.19.
Currently, time-series aggregations use the
valuesaggregation to collect dimension values. While we might introduce a specialized aggregation for this in the future, for now, we are usingvalues, and the inputs are likely ordinal blocks. This change speeds up thevaluesaggregation when the inputs are ordinal-based.Execution time reduced from 461ms to 192ms for 1000 groups.