[GitHub] [spark] EnricoMi commented on pull request #37360: [SPARK-39931][PYTHON][WIP] Improve applyInPandas performance for very small groups

[GitBox <gi...@apache.org>]

EnricoMi commented on PR #37360:
URL: https://github.com/apache/spark/pull/37360#issuecomment-1272901268

   @HyukjinKwon Two options here:
   
   - provide an alternative for `applyInPandas` that takes the same user function signature in batch mode
     - Python (`wrap_grouped_batch_map_pandas_udf`) calls that function multiple times for one invocation from Scala
   - provide an alternative for `applyInPandas` that takes a different user function signature in batch mode
     - provides a `pandas.DataFrameGroupBy` to provide user code access to multiple groups at once, and Pandas Group API
   
   Both alternatives could be supported based on annotations of the user function (`inspect.getfullargspec`).
   
   I wouldn't touch `applyInPandas` as this might introduce some penalty user code that has large groups.


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