Hi
I'm currently using flink 0.9.0 which by maven support Hadoop 1 .
By using flink-clients-0.7.0-hadoop2-incubating.jar with executePlan(Plan
p) method instead, I'm getting the same exception
Hanan
On Fri, Aug 28, 2015 at 8:35 AM, Hanan Meyer <ha...@scalabill.it> wrote:
>
> Hi
>
> 1. I have restarted Flink service via stop/start-loval.sh - it have been
> restarted successfully ,no errors in log folder
> 2. default flink port is -6123
>
> Getting this via Eclips IDE:
>
> Thanks
>
>
> org.apache.flink.client.program.ProgramInvocationException: Failed to
> resolve JobManager
> at org.apache.flink.client.program.Client.run(Client.java:379)
> at org.apache.flink.client.program.Client.run(Client.java:356)
> at org.apache.flink.client.program.Client.run(Client.java:349)
> at
> org.apache.flink.client.RemoteExecutor.executePlanWithJars(RemoteExecutor.java:89)
> at
> org.apache.flink.client.RemoteExecutor.executePlan(RemoteExecutor.java:82)
> at
> org.apache.flink.api.java.RemoteEnvironment.execute(RemoteEnvironment.java:71)
> at
> org.apache.flink.api.java.ExecutionEnvironment.execute(ExecutionEnvironment.java:789)
> at Test.main(Test.java:39)
> Caused by: java.io.IOException: JobManager at
> akka.tcp://flink@FLINK_SERVER_URL:6123/user/jobmanager not reachable.
> Please make sure that the JobManager is running and its port is reachable.
> at
> org.apache.flink.runtime.jobmanager.JobManager$.getJobManagerRemoteReference(JobManager.scala:1197)
> at
> org.apache.flink.runtime.jobmanager.JobManager$.getJobManagerRemoteReference(JobManager.scala:1221)
> at
> org.apache.flink.runtime.jobmanager.JobManager$.getJobManagerRemoteReference(JobManager.scala:1239)
> at
> org.apache.flink.runtime.jobmanager.JobManager.getJobManagerRemoteReference(JobManager.scala)
> at org.apache.flink.client.program.Client.run(Client.java:376)
> ... 7 more
> Caused by: akka.actor.ActorNotFound: Actor not found for:
> ActorSelection[Anchor(akka.tcp://flink@FLINK_SERVER_URL:6123/),
> Path(/user/jobmanager)]
> at
> akka.actor.ActorSelection$$anonfun$resolveOne$1.apply(ActorSelection.scala:65)
> at
> akka.actor.ActorSelection$$anonfun$resolveOne$1.apply(ActorSelection.scala:63)
> at scala.concurrent.impl.CallbackRunnable.run(Promise.scala:32)
> at akka.dispatch.BatchingExecutor$
> Batch$$anonfun$run$1.processBatch$1(BatchingExecutor.scala:67)
> at
> akka.dispatch.BatchingExecutor$Batch$$anonfun$run$1.apply$mcV$sp(BatchingExecutor.scala:82)
> at
> akka.dispatch.BatchingExecutor$Batch$$anonfun$run$1.apply(BatchingExecutor.scala:59)
> at
> akka.dispatch.BatchingExecutor$Batch$$anonfun$run$1.apply(BatchingExecutor.scala:59)
> at scala.concurrent.BlockContext$.withBlockContext(BlockContext.scala:72)
> at akka.dispatch.BatchingExecutor$Batch.run(BatchingExecutor.scala:58)
> at
> akka.dispatch.ExecutionContexts$sameThreadExecutionContext$.unbatchedExecute(Future.scala:74)
> at akka.dispatch.BatchingExecutor$class.execute(BatchingExecutor.scala:110)
> at
> akka.dispatch.ExecutionContexts$sameThreadExecutionContext$.execute(Future.scala:73)
> at
> scala.concurrent.impl.CallbackRunnable.executeWithValue(Promise.scala:40)
> at
> scala.concurrent.impl.Promise$DefaultPromise.tryComplete(Promise.scala:248)
> at akka.pattern.PromiseActorRef.$bang(AskSupport.scala:267)
> at akka.actor.EmptyLocalActorRef.specialHandle(ActorRef.scala:508)
> at akka.actor.DeadLetterActorRef.specialHandle(ActorRef.scala:541)
> at akka.actor.DeadLetterActorRef.$bang(ActorRef.scala:531)
> at
> akka.remote.RemoteActorRefProvider$RemoteDeadLetterActorRef.$bang(RemoteActorRefProvider.scala:87)
> at akka.remote.EndpointWriter.postStop(Endpoint.scala:561)
> at akka.actor.Actor$class.aroundPostStop(Actor.scala:475)
> at akka.remote.EndpointActor.aroundPostStop(Endpoint.scala:415)
> at
> akka.actor.dungeon.FaultHandling$class.akka$actor$dungeon$FaultHandling$$finishTerminate(FaultHandling.scala:210)
> at
> akka.actor.dungeon.FaultHandling$class.terminate(FaultHandling.scala:172)
> at akka.actor.ActorCell.terminate(ActorCell.scala:369)
> at akka.actor.ActorCell.invokeAll$1(ActorCell.scala:462)
> at akka.actor.ActorCell.systemInvoke(ActorCell.scala:478)
> at akka.dispatch.Mailbox.processAllSystemMessages(Mailbox.scala:279)
> at akka.dispatch.Mailbox.run(Mailbox.scala:220)
> at akka.dispatch.Mailbox.exec(Mailbox.scala:231)
> at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
> at
> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.pollAndExecAll(ForkJoinPool.java:1253)
> at
> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1346)
> at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
> at
> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
>
>
> On Thu, Aug 27, 2015 at 10:47 PM, Robert Metzger <rmetz...@apache.org>
> wrote:
>
>> I guess you are getting an entire exception after the "org.apache.flink
>> .client.program.ProgramInvocationException: Failed to
>> resolve JobManager".
>> Can you post it here to help us understanding the issue?
>>
>> On Thu, Aug 27, 2015 at 6:55 PM, Alexey Sapozhnikov <ale...@scalabill.it>
>> wrote:
>>
>> > Hello all.
>> >
>> > Some clarification: locally everything works great.
>> > However once we run our Flink on remote linux machine and try to run the
>> > client program from our machine, using create remote environment- Flink
>> > JobManager is raising this exception
>> >
>> > On Thu, Aug 27, 2015 at 7:41 PM, Stephan Ewen <se...@apache.org> wrote:
>> >
>> > > If you start the job via the "bin/flink" script, then simply use
>> > > "ExecutionEnvironment.getExecutionEnvironment()" rather then creating
>> a
>> > > remote environment manually.
>> > >
>> > > That way, hosts and ports are configured automatically.
>> > >
>> > > On Thu, Aug 27, 2015 at 6:39 PM, Robert Metzger <rmetz...@apache.org>
>> > > wrote:
>> > >
>> > >> Hi,
>> > >>
>> > >> Which values did you use for FLINK_SERVER_URL and FLINK_PORT?
>> > >> Every time you deploy Flink on YARN, the host and port change,
>> because
>> > the
>> > >> JobManager is started on a different YARN container.
>> > >>
>> > >>
>> > >> On Thu, Aug 27, 2015 at 6:32 PM, Hanan Meyer <ha...@scalabill.it>
>> > wrote:
>> > >>
>> > >> > Hello All
>> > >> >
>> > >> > When using Eclipse IDE to submit Flink to Yarn single node cluster
>> I'm
>> > >> > getting :
>> > >> > "org.apache.flink.client.program.ProgramInvocationException:
>> Failed to
>> > >> > resolve JobManager"
>> > >> >
>> > >> > Using Flink 0.9.0
>> > >> >
>> > >> > The Jar copy a file from one location in Hdfs to another and works
>> > fine
>> > >> > while executed locally on the single node Yarn cluster -
>> > >> > bin/flink run -c Test ./examples/MyJar.jar
>> > >> > hdfs://localhost:9000/flink/in.txt
>> hdfs://localhost:9000/flink/out.txt
>> > >> >
>> > >> > The code skeleton:
>> > >> >
>> > >> > ExecutionEnvironment envRemote =
>> > >> > ExecutionEnvironment.createRemoteEnvironment
>> > >> > (FLINK_SERVER_URL,FLINK PORT,JAR_PATH_ON_CLIENT);
>> > >> > DataSet<String> data =
>> > >> > envRemote.readTextFile("hdfs://localhost:9000/flink/in.txt");
>> > >> > data.writeAsText("hdfs://localhost:9000/flink/out.txt");
>> > >> > envRemote.execute();
>> > >> >
>> > >> >
>> > >> > Please advise,
>> > >> >
>> > >> > Hanan Meyer
>> > >> >
>> > >>
>> > >
>> > >
>> >
>>
>
>
