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From "Tathagata Das (JIRA)" <j...@apache.org>
Subject [jira] [Closed] (SPARK-6892) Recovery from checkpoint will also reuse the application id when write eventLog in yarn-cluster mode
Date Wed, 01 Jul 2015 01:10:05 GMT

     [ https://issues.apache.org/jira/browse/SPARK-6892?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Tathagata Das closed SPARK-6892.
--------------------------------
    Resolution: Not A Problem

> 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.



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