Scalable Gapfill Implementation for Avg/Count/Sum #8647
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This reverts commit 74ac4d2.
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@@ Coverage Diff @@
## master #8647 +/- ##
============================================
- Coverage 66.16% 62.88% -3.29%
- Complexity 4387 4554 +167
============================================
Files 1277 1681 +404
Lines 64430 88120 +23690
Branches 10014 13178 +3164
============================================
+ Hits 42633 55413 +12780
- Misses 18786 28735 +9949
- Partials 3011 3972 +961
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Jackie-Jiang
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May 9, 2022
...t-core/src/main/java/org/apache/pinot/core/query/reduce/ScalableGapfillProcessorFactory.java
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pinot-core/src/main/java/org/apache/pinot/core/query/reduce/ScalableGapfillProcessor.java
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...-core/src/main/java/org/apache/pinot/core/query/reduce/ScalableGapfillProcessorForCount.java
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Description
This is the performance optimization for avg/count/sum aggregation of gap filled result. These aggregation functions are about counting. It is time-consuming to create the gapfilled rows when doing the aggregation. This PR will not create the gap filled rows when doing the counting. This will give 10x performance improvement.
Upgrade Notes
Does this PR prevent a zero down-time upgrade? (Assume upgrade order: Controller, Broker, Server, Minion)
backward-incompat, and complete the section below on Release Notes)Does this PR fix a zero-downtime upgrade introduced earlier?
backward-incompat, and complete the section below on Release Notes)Does this PR otherwise need attention when creating release notes? Things to consider:
release-notesand complete the section on Release Notes)Release Notes
Documentation