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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2015/08/18 20:25:48 UTC

[jira] [Assigned] (SPARK-10087) In some cases, all reducers are scheduled to the same executor

     [ https://issues.apache.org/jira/browse/SPARK-10087?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-10087:
------------------------------------

    Assignee: Apache Spark

> In some cases, all reducers are scheduled to the same executor
> --------------------------------------------------------------
>
>                 Key: SPARK-10087
>                 URL: https://issues.apache.org/jira/browse/SPARK-10087
>             Project: Spark
>          Issue Type: Bug
>          Components: Scheduler
>    Affects Versions: 1.5.0
>            Reporter: Yin Huai
>            Assignee: Apache Spark
>            Priority: Critical
>
> In some cases, when spark.shuffle.reduceLocality.enabled is enabled, we are scheduling all reducers to the same executor (the cluster has plenty of resources). Changing spark.shuffle.reduceLocality.enabled to false resolve the problem. 
> Here is a little bit more information. For one of my query, all 200 reducers were scheduled to the same reducer and every reducer has about 800 KB input.
>  



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