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 2021/02/24 03:37:00 UTC

[jira] [Assigned] (SPARK-34514) Push down limit for LEFT SEMI and LEFT ANTI join

     [ https://issues.apache.org/jira/browse/SPARK-34514?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-34514:
------------------------------------

    Assignee: Apache Spark

> Push down limit for LEFT SEMI and LEFT ANTI join
> ------------------------------------------------
>
>                 Key: SPARK-34514
>                 URL: https://issues.apache.org/jira/browse/SPARK-34514
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.1.0
>            Reporter: Cheng Su
>            Assignee: Apache Spark
>            Priority: Trivial
>
> I found out during code review of [https://github.com/apache/spark/pull/31567|https://github.com/apache/spark/pull/31567,]( [https://github.com/apache/spark/pull/31567#discussion_r577379572] ), where we can push down limit to the left side of LEFT SEMI and LEFT ANTI join, if the join condition is empty.
> Why it's safe to push down limit:
> The semantics of LEFT SEMI join without condition:
> (1). if right side is non-empty, output all rows from left side.
> (2). if right side is empty, output nothing.
>  
> The semantics of LEFT ANTI join without condition:
> (1). if right side is non-empty, output nothing.
> (2). if right side is empty, output all rows from left side.
>  
> With the semantics of output all rows from left side or nothing (all or nothing), it's safe to push down limit to left side.
> NOTE: LEFT SEMI / LEFT ANTI join with non-empty condition is not safe for limit push down, because output can be a portion of left side rows.
>  
> Physical operator for LEFT SEMI / LEFT ANTI join without condition - [https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/joins/BroadcastNestedLoopJoinExec.scala#L200-L204] .



--
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