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

Posted to issues@spark.apache.org by "Xingbo Jiang (Jira)" <ji...@apache.org> on 2020/08/19 06:49:00 UTC

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

Xingbo Jiang created SPARK-32658:
------------------------------------

             Summary: 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


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