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https://issues.apache.org/jira/browse/SPARK-3862?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14645915#comment-14645915
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David Sabater commented on SPARK-3862:
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This may sound too extreme but it will be great to have an option in SparkSQL
to broadcast these dimension tables before even actually run the queries, which
I think will speed up the actual query execution massively (Other SQL MPP
engines are doing that already).
It will be a call similar to CACHE but replicating all partitions accross all
nodes.
> MultiWayBroadcastInnerHashJoin
> ------------------------------
>
> Key: SPARK-3862
> URL: https://issues.apache.org/jira/browse/SPARK-3862
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Reporter: Reynold Xin
>
> It is common to have a single fact table inner join many small dimension
> tables. We can exploit this fact and create a MultiWayBroadcastInnerHashJoin
> (or maybe just MultiwayDimensionJoin) operator that optimizes for this
> pattern.
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