[
https://issues.apache.org/jira/browse/SPARK-6892?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14584086#comment-14584086
]
Hari Shreedharan commented on SPARK-6892:
-----------------------------------------
This should have been fixed by SPARK-4835.
[~397090770] - Do you see this in 1.4?
> Recovery from checkpoint will also reuse the application id when write
> eventLog in yarn-cluster mode
> ----------------------------------------------------------------------------------------------------
>
> Key: SPARK-6892
> URL: https://issues.apache.org/jira/browse/SPARK-6892
> Project: Spark
> Issue Type: Bug
> Components: Streaming
> Affects Versions: 1.3.0
> Reporter: yangping wu
> Priority: Critical
>
> When I recovery from checkpoint in yarn-cluster mode using Spark Streaming,
> I found it will reuse the application id (In my case is
> application_1428664056212_0016) before falied to write spark eventLog, But
> now my application id is application_1428664056212_0017,then spark write
> eventLog will falied, the stacktrace as follow:
> {code}
> 15/04/14 10:14:01 WARN util.ShutdownHookManager: ShutdownHook '$anon$3'
> failed, java.io.IOException: Target log file already exists
> (hdfs://mycluster/spark-logs/eventLog/application_1428664056212_0016)
> java.io.IOException: Target log file already exists
> (hdfs://mycluster/spark-logs/eventLog/application_1428664056212_0016)
> at
> org.apache.spark.scheduler.EventLoggingListener.stop(EventLoggingListener.scala:201)
> at
> org.apache.spark.SparkContext$$anonfun$stop$4.apply(SparkContext.scala:1388)
> at
> org.apache.spark.SparkContext$$anonfun$stop$4.apply(SparkContext.scala:1388)
> at scala.Option.foreach(Option.scala:236)
> at org.apache.spark.SparkContext.stop(SparkContext.scala:1388)
> at
> org.apache.spark.deploy.yarn.ApplicationMaster$$anon$3.run(ApplicationMaster.scala:107)
> at
> org.apache.hadoop.util.ShutdownHookManager$1.run(ShutdownHookManager.java:54)
> {code}
> This exception will cause the job falied.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
