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Posted to issues@spark.apache.org by "Michael Armbrust (JIRA)" <ji...@apache.org> on 2017/03/23 00:10:41 UTC

[jira] [Resolved] (SPARK-19013) java.util.ConcurrentModificationException when using s3 path as checkpointLocation

     [ https://issues.apache.org/jira/browse/SPARK-19013?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Michael Armbrust resolved SPARK-19013.
--------------------------------------
    Resolution: Later

It seems like [HADOOP-13345] is the right solution here, but since this is outside of the scope of things we can fix in Spark, I'm going to close this ticket to keep the backlog clear.

> java.util.ConcurrentModificationException when using s3 path as checkpointLocation 
> -----------------------------------------------------------------------------------
>
>                 Key: SPARK-19013
>                 URL: https://issues.apache.org/jira/browse/SPARK-19013
>             Project: Spark
>          Issue Type: Bug
>          Components: Structured Streaming
>    Affects Versions: 2.0.2
>            Reporter: Tim Chan
>
> I have a structured stream job running on EMR. The job will fail due to this
> {code}
> Multiple HDFSMetadataLog are using s3://mybucket/myapp org.apache.spark.sql.execution.streaming.HDFSMetadataLog.org$apache$spark$sql$execution$streaming$HDFSMetadataLog$$writeBatch(HDFSMetadataLog.scala:162)
> {code}
> There is only one instance of this stream job running.



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