You are viewing a plain text version of this content. The canonical link for it is here.

Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/08/19 06:56:00 UTC

[jira] [Assigned] (SPARK-32658) Partition length number overflow in `PartitionWriterStream`

     [ https://issues.apache.org/jira/browse/SPARK-32658?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Apache Spark reassigned SPARK-32658:
------------------------------------

    Assignee: Apache Spark

> Partition length number overflow in `PartitionWriterStream`
> -----------------------------------------------------------
>
>                 Key: SPARK-32658
>                 URL: https://issues.apache.org/jira/browse/SPARK-32658
>             Project: Spark
>          Issue Type: Bug
>          Components: Spark Core
>    Affects Versions: 3.0.0
>            Reporter: Xingbo Jiang
>            Assignee: Apache Spark
>            Priority: Blocker
>
> A Spark user reported  `FetchFailedException: Stream is corrupted` error when they upgraded their workload to 3.0. The issue happens when the shuffle output data size from a single task is very large (~5GB). The issue is introduced by https://github.com/apache/spark/commit/abef84a868e9e15f346eea315bbab0ec8ac8e389 , the `PartitionWriterStream` defined the partition length to be an int value, while it should be a long value.



--
This message was sent by Atlassian Jira
(v8.3.4#803005)

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