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https://issues.apache.org/jira/browse/SPARK-59187?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Peter Toth updated SPARK-59187:
-------------------------------
    Affects Version/s: 4.4.0

> Carry the partition key data types on KeyedPartitioning
> -------------------------------------------------------
>
>                 Key: SPARK-59187
>                 URL: https://issues.apache.org/jira/browse/SPARK-59187
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 5.0.0, 4.4.0
>            Reporter: Peter Toth
>            Priority: Major
>
> {{KeyedPartitioning}} carries its partition keys as 
> {{InternalRowComparableWrapper}} rows and no types. Every reader that needs 
> the types samples them from the first key row, via {{keyDataTypes}}:
> {code:scala}
> @transient lazy val keyDataTypes: Seq[DataType] =
>   partitionKeys.headOption.map(_.dataTypes).getOrElse(expressionDataTypes)
> {code}
> Two problems follow from that.
> * With no key row there is nothing to sample, so it falls back to the 
> partition expressions' own types. Those describe the keys only while the 
> expressions do, and after a join reduced both sides' keys they no longer do 
> (SPARK-59121). SPARK-59176 was a query that failed because one caller held 
> that fallback against a real answer.
> * Nothing checks that the remaining key rows agree with the first one.
> The types are known where the keys are built, and are already computed and 
> dropped there:
> {code:scala}
> def apply(expressions: Seq[Expression], partitionKeys: Seq[InternalRow]): 
> KeyedPartitioning = {
>   val dataTypes = expressions.map(_.dataType)
>   val comparableKeyWrapperFactory =
>     
> InternalRowComparableWrapper.getInternalRowComparableWrapperFactory(dataTypes)
>   ...
> {code}
> The proposal is to carry them on the partitioning beside {{expressions}}, and 
> to have {{projectKeys}}, {{reduceKeys}}, 
> {{KeyedShuffleSpec.createPartitioning}} and {{GroupPartitionsExec}} carry 
> them through the transformations they apply to the keys. Then no reader 
> samples a key row, and a partitioning with no key still reports what its keys 
> would hold.
> This subsumes SPARK-59176's fix, which leaves a keyless side out of one 
> comparison rather than giving it an answer.



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