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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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