[
https://issues.apache.org/jira/browse/SPARK-60904?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
ASF GitHub Bot updated SPARK-60904:
-----------------------------------
Labels: pull-request-available (was: )
> Preserve the output partitioning of shuffled FULL OUTER joins
> -------------------------------------------------------------
>
> Key: SPARK-60904
> URL: https://issues.apache.org/jira/browse/SPARK-60904
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 5.0.0
> Reporter: XiDuo You
> Priority: Major
> Labels: pull-request-available
>
> A shuffled FULL OUTER join reports UnknownPartitioning, so every consumer
> keyed on the join keys shuffles the join output again, e.g. GROUP BY or a
> window on the merged key of a FULL OUTER JOIN ... USING, or a chained FULL
> OUTER JOIN ... USING. Neither side's partitioning describes the output, since
> a NULL-padded row was placed by the other side's key, but the position-wise
> COALESCE of the two sides' join keys describes every row. This reports a hash
> partitioning on that COALESCE when the children are co-partitioned by hash,
> every join key is deterministic and NULL on a NULL-padded row, and keeps it
> null-aware when either side spreads NULL keys. Keyed (storage-partitioned)
> layouts keep UnknownPartitioning.
--
This message was sent by Atlassian Jira
(v10.3.26#10030026)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
