[ 
https://issues.apache.org/jira/browse/SPARK-16052?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Wenchen Fan resolved SPARK-16052.
---------------------------------
       Resolution: Fixed
    Fix Version/s: 2.1.0

Issue resolved by pull request 13765
[https://github.com/apache/spark/pull/13765]

> Improve `CollapseRepartition` optimizer for Repartition/RepartitionBy
> ---------------------------------------------------------------------
>
>                 Key: SPARK-16052
>                 URL: https://issues.apache.org/jira/browse/SPARK-16052
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>            Reporter: Dongjoon Hyun
>            Assignee: Dongjoon Hyun
>             Fix For: 2.1.0
>
>
> This issue improves `CollapseRepartition` to optimize the adjacent 
> combinations of **Repartition** and **RepartitionBy**. Also, this issue adds 
> a testsuite for this optimizer.
> **Before**
> {code}
> scala> spark.range(10).repartition(1, $"id").repartition(1, $"id").explain
> == Physical Plan ==
> Exchange hashpartitioning(id#0L, 1)
> +- Exchange hashpartitioning(id#0L, 1)
>    +- *Range (0, 10, splits=8)
> scala> spark.range(10).repartition(1, $"id").repartition($"id").explain
> == Physical Plan ==
> Exchange hashpartitioning(id#6L, 200)
> +- Exchange hashpartitioning(id#6L, 1)
>    +- *Range (0, 10, splits=8)
> {code}
> **After**
> {code}
> scala> spark.range(10).repartition(1, $"id").repartition(1, $"id").explain
> == Physical Plan ==
> Exchange hashpartitioning(id#0L, 1)
> +- *Range (0, 10, splits=8)
> scala> spark.range(10).repartition(1, $"id").repartition($"id").explain
> == Physical Plan ==
> Exchange hashpartitioning(id#6L, 200)
> +- *Range (0, 10, splits=8)
> {code}



--
This message was sent by Atlassian JIRA
(v6.3.4#6332)

---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]

Reply via email to