[jira] [Closed] (FLINK-5470) Requesting non-existing log/stdout file from TM crashes the TM

["Chesnay Schepler (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-5470?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Chesnay Schepler closed FLINK-5470.
-----------------------------------
    Resolution: Duplicate

> Requesting non-existing log/stdout file from TM crashes the TM
> --------------------------------------------------------------
>
>                 Key: FLINK-5470
>                 URL: https://issues.apache.org/jira/browse/FLINK-5470
>             Project: Flink
>          Issue Type: Bug
>          Components: TaskManager
>    Affects Versions: 1.2.0, 1.3.0
>            Reporter: Till Rohrmann
>            Assignee: Till Rohrmann
>            Priority: Critical
>             Fix For: 1.2.0, 1.3.0
>
>
> Requesting the TM log/stdout file via the web interface crashes the TM if the respective file does not exist. This is, for example, the case when running Flink via DC/OS.
> {code}
> java.io.FileNotFoundException: flink-taskmanager.out (No such file or directory)
> at java.io.FileInputStream.open0(Native Method)
> at java.io.FileInputStream.open(FileInputStream.java:195)
> at java.io.FileInputStream.<init>(FileInputStream.java:138)
> at org.apache.flink.runtime.taskmanager.TaskManager.org$apache$flink$runtime$taskmanager$TaskManager$$handleRequestTaskManagerLog(TaskManager.scala:833)
> at org.apache.flink.runtime.taskmanager.TaskManager$$anonfun$handleMessage$1.applyOrElse(TaskManager.scala:340)
> at scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)
> at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)
> at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)
> at org.apache.flink.runtime.LeaderSessionMessageFilter$$anonfun$receive$1.applyOrElse(LeaderSessionMessageFilter.scala:44)
> at scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)
> at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)
> at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)
> at org.apache.flink.runtime.LogMessages$$anon$1.apply(LogMessages.scala:33)
> at org.apache.flink.runtime.LogMessages$$anon$1.apply(LogMessages.scala:28)
> at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:118)
> at org.apache.flink.runtime.LogMessages$$anon$1.applyOrElse(LogMessages.scala:28)
> at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
> at org.apache.flink.runtime.taskmanager.TaskManager.aroundReceive(TaskManager.scala:122)
> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
> at akka.actor.ActorCell.invoke(ActorCell.scala:487)
> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:254)
> at akka.dispatch.Mailbox.run(Mailbox.scala:221)
> at akka.dispatch.Mailbox.exec(Mailbox.scala:231)
> at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
> at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
> at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
> at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
> {code}



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