peterxcli opened a new pull request, #3369:
URL: https://github.com/apache/datafusion-comet/pull/3369

   ## Which issue does this PR close?
   
   Closes: https://github.com/apache/datafusion-comet/issues/3164
   
   ## Rationale for this change
   
   Comet does not currently support the Spark `map_contains_key` function, 
causing queries using this function to fall back to Spark's JVM execution 
instead of running natively on DataFusion.
   
   The MapContainsKey expression checks whether a given key exists in a map. It 
is implemented as a runtime-replaceable expression that internally uses 
ArrayContains on the map's keys to perform the lookup.
   
   Supporting this expression would allow more Spark workloads to benefit from 
Comet's native acceleration.
   
   ## What changes are included in this PR?
   
   - query plan serde to map `MapContainsKey` -> `CometMapContainsKey`
   - implement `CometMapContainsKey` to convert the expr to 
`array_has(map_keys(map), key)`
      - ref: 
https://github.com/apache/spark/blob/04b821c69e85be5f51a1270b3a9a4155afdb5334/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala#L239
 
   - update spark expr supporting list
   - btw, I saw https://github.com/apache/datafusion-comet/pull/1788 had 
implemented the `map_keys` function, so I also mark it as done.
   
   ## How are these changes tested?
   
   - gen map type data and use that to verify the correctness of 
`map_contains_key`
   - Empty-map tests
   
   
   empty map tests in spark:
   - 
https://github.com/apache/spark/blob/04b821c69e85be5f51a1270b3a9a4155afdb5334/sql/core/src/test/scala/org/apache/spark/sql/ParametersSuite.scala#L609-L618
   - 
https://github.com/apache/spark/blob/04b821c69e85be5f51a1270b3a9a4155afdb5334/sql/core/src/test/scala/org/apache/spark/sql/ParametersSuite.scala#L1663-L1672
   


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