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https://issues.apache.org/jira/browse/SPARK-26543?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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chenliang updated SPARK-26543:
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Attachment: (was: 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
>
>
> 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. As follow:
> !15_24_38__12_27_2018.jpg!
> We can filter the useless partition(0B) with ExchangeCoorditinator
> automatically
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