Mailing-List: contact issues-help@spark.apache.org; run by ezmlm
Precedence: bulk
Date: Tue, 18 Apr 2017 07:30:41 +0000 (UTC)
From: "Apache Spark (JIRA)" <jira@apache.org>
To: issues@spark.apache.org
Message-ID: <JIRA.13064600.1492500176000.303318.1492500641968@Atlassian.JIRA>
In-Reply-To: <JIRA.13064600.1492500176000@Atlassian.JIRA>
References: <JIRA.13064600.1492500176000@Atlassian.JIRA> <JIRA.13064600.1492500176107@jira-lw-us.apache.org>
Subject: [jira] [Assigned] (SPARK-20366) Fix recursive join reordering:
 inside joins are not reordered
MIME-Version: 1.0
Content-Type: text/plain; charset=utf-8
Content-Transfer-Encoding: 7bit
archived-at: Tue, 18 Apr 2017 07:30:51 -0000


     [ https://issues.apache.org/jira/browse/SPARK-20366?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-20366:
------------------------------------

    Assignee:     (was: Apache Spark)

> Fix recursive join reordering: inside joins are not reordered
> -------------------------------------------------------------
>
>                 Key: SPARK-20366
>                 URL: https://issues.apache.org/jira/browse/SPARK-20366
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 2.2.0
>            Reporter: Zhenhua Wang
>
> If a plan has multi-level successive joins, e.g.:
> ```
>          Join
>          /     \
>      Union  t5
>       /    \
>     Join t4
>     /    \
>   Join t3
>   /  \
>  t1  t2
> ```
> Currently we fail to reorder the inside joins, i.e. t1, t2, t3.
> In join reorder, we use `OrderedJoin` to indicate a join has been ordered, such that when transforming down the plan, these joins don't need to be rerodered again.
> But there's a problem in the definition of `OrderedJoin`:
> The real join node is a parameter, rather than a child. This breaks the transform procedure because `mapChildren` applies transform on parameters which should be children.


--
This message was sent by Atlassian JIRA
(v6.3.15#6346)

---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org