You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "chenliang (JIRA)" <ji...@apache.org> on 2019/01/05 04:49:00 UTC
[jira] [Updated] (SPARK-26543) Support the coordinator to
demerminte post-shuffle partitions more reasonably
[ https://issues.apache.org/jira/browse/SPARK-26543?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
chenliang updated SPARK-26543:
------------------------------
Attachment: 15_24_38__12_27_2018.jpg
> Support the coordinator to demerminte post-shuffle partitions more reasonably
> -----------------------------------------------------------------------------
>
> Key: SPARK-26543
> URL: https://issues.apache.org/jira/browse/SPARK-26543
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 2.2.0, 2.2.1, 2.2.2, 2.3.0, 2.3.1, 2.3.2
> Reporter: chenliang
> Priority: Major
> Fix For: 2.3.0
>
> Attachments: 15_24_38__12_27_2018.jpg
>
>
> For SparkSQL ,when we open AE by 'set spark.sql.adapative.enable=true'，the ExchangeCoordinator will introduced to determine the number of post-shuffle partitions. But in some certain conditions,the coordinator performed not very well, there are always some tasks retained and they worked with Shuffle Read Size / Records 0.0B/0 ,We could increase the spark.sql.adaptive.shuffle.targetPostShuffleInputSize to solve this,but this action is unreasonable as targetPostShuffleInputSize Should not be set too large.
> We can filter the useless partition(0B) with ExchangeCoorditinator automatically
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org