Re: [PR] feat: Extend adaptive partial aggregation to more aggregate functions [datafusion-comet]

["sunchao (via GitHub)" <gi...@apache.org>]

sunchao commented on PR #6432:
URL: https://github.com/apache/datafusion-comet/pull/6432#issuecomment-5982679741

   Rebased in `02065070f0557acb05b3433290e9d355be17412b`. The conflict resolution retains main's default-off `spark.comet.exec.aggregate.skipPartial.enabled` setting and repeated-key regression, and routes the expanded per-operator qualification through that existing setting. The separate numerical-differences opt-in remains default-off. Both the upstream TopK documentation and the partial-aggregation metrics are retained.
   
   Native core/test compilation, full Spark 4.1 reactor test compilation, Rust formatting, Spotless and whitespace checks pass. The Spark SQL CI label is enabled; runtime CI for this head is pending.
   


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