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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2019/07/18 19:31:18 UTC

[GitHub] [spark] hjoo commented on issue #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl

hjoo commented on issue #24981: [WIP][SPARK-27463][PYTHON] Support Dataframe Cogroup via Pandas UDFs- Arrow Stream Impl
URL: https://github.com/apache/spark/pull/24981#issuecomment-512955380
 
 
   @d80tb7, you're totally correct, the explicit groupby form does allow users to specify different key columns which is valid. I was mistaken.
   
   Question related to key groupings: does cogroup do a full outer join-like grouping? For example, let's say there are groups in one or both dataframes with no matching keys in the other cogrouped dataframe. Will the UDF still be applied for all groupings in both dataframes with either the left or right dataframe passed to the UDF as empty? Or will it only be called for all left groups? right groups? Should a user be able to specify?

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