LinSimon-901101 commented on code in PR #5875:
URL: https://github.com/apache/datafusion-comet/pull/5875#discussion_r3999030284
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spark/src/main/scala/org/apache/comet/serde/maps.scala:
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@@ -114,7 +117,9 @@ object CometMapValues extends
CometExpressionSerde[MapValues] {
}
}
-object CometMapExtract extends CometExpressionSerde[GetMapValue] {
+object CometMapExtract extends CometExpressionSerde[GetMapValue] with
CodegenDispatchFallback {
Review Comment:
Thanks for the review. I've added and run the requested map-lookup matrix in
`CometCodegenDispatchBenchmark` on Spark 4.1.3, with two warmed runs, fresh-JVM
first-use measurements, and answer/route checks.
The results show a tradeoff: small-map mixed projections improve, while
lookup-only and larger DOUBLE-key maps can be slower than dispatcher-off.
Logs and the full comparison are attached.
The current routing keeps projections in Comet at the cost of 8.7–11.4%
longer execution times for the measured DOUBLE-key lookup-only cases at 65,536
rows; small-map mixed projections benefit.
[pr-5875-benchmark-evidence.zip](https://github.com/user-attachments/files/32156330/pr-5875-benchmark-evidence.zip)
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