You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/08/03 22:12:00 UTC
[jira] [Assigned] (SPARK-32399) Support full outer join in shuffled
hash join and broadcast hash join
[ https://issues.apache.org/jira/browse/SPARK-32399?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-32399:
------------------------------------
Assignee: (was: Apache Spark)
> Support full outer join in shuffled hash join and broadcast hash join
> ---------------------------------------------------------------------
>
> Key: SPARK-32399
> URL: https://issues.apache.org/jira/browse/SPARK-32399
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.1.0
> Reporter: Cheng Su
> Priority: Minor
>
> Currently for SQL full outer join, spark always does a sort merge join no matter of how large the join children size are. Inspired by recent discussion in [https://github.com/apache/spark/pull/29130#discussion_r456502678] and [https://github.com/apache/spark/pull/29181], I think we can support full outer join in shuffled hash join and broadcast hash join in a way that - when looking up stream side keys from build side {{HashedRelation}}. Mark this info inside build side {{HashedRelation}}, and after reading all rows from stream side, output all non-matching rows from build side based on modified {{HashedRelation}}. But more design details need to be figured out for this JIRA.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org