Hay Stephan,
Great to know you could fix the issue. Thank you on the update.
Best regards.

> On Mar 14, 2015, at 9:19 PM, Stephan Ewen <se...@apache.org> wrote:
> 
> Hey Dulaj!
> 
> Forget what I said in the previous email. The issue with the wrong address
> binding seems to be solved now. There is another issue that the embedded
> taskmanager does not start properly, for whatever reason. My gut feeling is
> that there is something wrong
> 
> There is a patch pending that changes the startup behavior to debug these
> situations much easier. I'll ping you as soon as that is in...
> 
> 
> Stephan
> 
> On Sat, Mar 14, 2015 at 4:42 PM, Stephan Ewen <se...@apache.org> wrote:
> 
>> Hey Dulaj!
>> 
>> One thing you can try is to add to the JVM startup options (in the scripts
>> in the "bin" folder) the option "-Djava.net.preferIPv4Stack=true" and see
>> if that helps it?
>> 
>> Stephan
>> 
>> 
>> On Sat, Mar 14, 2015 at 4:29 AM, Dulaj Viduranga <vidura...@icloud.com>
>> wrote:
>> 
>>> Hi,
>>> Still this is no luck. I’ll upload the logs with configuration
>>> “localhost" as well as “127.0.0.1” so you can take a look.
>>> 
>>> 127.0.0.1
>>> flink-Vidura-flink-client-localhost.log <
>>> https://gist.github.com/viduranga/1d01149eee238158519e#file-flink-vidura-flink-client-localhost-log
>>>> 
>>> 
>>> localhost
>>> flink-Vidura-flink-client-localhost.log <
>>> https://gist.github.com/viduranga/d866c24c0ba566abab17#file-flink-vidura-flink-client-localhost-log
>>>> 
>>> flink-Vidura-jobmanager-localhost.log <
>>> https://gist.github.com/viduranga/e7549ef818c6a2af73e9#file-flink-vidura-jobmanager-localhost-log
>>>> 
>>> 
>>>> On Mar 11, 2015, at 11:32 PM, Till Rohrmann <trohrm...@apache.org>
>>> wrote:
>>>> 
>>>> Hi Dulaj,
>>>> 
>>>> sorry for my late response. It looks as if the JobClient tries to
>>> connect
>>>> to the JobManager using its IPv6 instead of IPv4. Akka is really picky
>>> when
>>>> it comes to remote address. If Akka binds to the FQDN, then other
>>>> ActorSystem which try to connect to it using its IP address won't be
>>>> successful. I assume that this might be a problem. I tried to fix it.
>>> You
>>>> can find it here [1]. Could you please try it out by starting a local
>>>> cluster with the start-local.sh script. If it fails, could you please
>>> send
>>>> me all log files (client, jobmanager and taskmanager). Once we figured
>>> out
>>>> why the JobCilent does not connect, we can try to tackle the BlobServer
>>>> issue.
>>>> 
>>>> Cheers,
>>>> 
>>>> Till
>>>> 
>>>> [1] https://github.com/tillrohrmann/flink/tree/fixJobClient
>>>> 
>>>> On Thu, Mar 5, 2015 at 4:40 PM, Dulaj Viduranga <vidura...@icloud.com>
>>>> wrote:
>>>> 
>>>>> Hi,
>>>>> The error message is,
>>>>> 
>>>>> 21:06:01,521 WARN  org.apache.hadoop.util.NativeCodeLoader
>>>>>      - Unable to load native-hadoop library for your platform... using
>>>>> builtin-java classes where applicable
>>>>> org.apache.flink.client.program.ProgramInvocationException: Could not
>>>>> build up connection to JobManager.
>>>>>       at org.apache.flink.client.program.Client.run(Client.java:327)
>>>>>       at org.apache.flink.client.program.Client.run(Client.java:306)
>>>>>       at org.apache.flink.client.program.Client.run(Client.java:300)
>>>>>       at
>>>>> 
>>> org.apache.flink.client.program.ContextEnvironment.execute(ContextEnvironment.java:55)
>>>>>       at
>>>>> 
>>> org.apache.flink.examples.java.wordcount.WordCount.main(WordCount.java:82)
>>>>>       at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
>>>>>       at
>>>>> 
>>> sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
>>>>>       at
>>>>> 
>>> sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
>>>>>       at java.lang.reflect.Method.invoke(Method.java:483)
>>>>>       at
>>>>> 
>>> org.apache.flink.client.program.PackagedProgram.callMainMethod(PackagedProgram.java:437)
>>>>>       at
>>>>> 
>>> org.apache.flink.client.program.PackagedProgram.invokeInteractiveModeForExecution(PackagedProgram.java:353)
>>>>>       at org.apache.flink.client.program.Client.run(Client.java:250)
>>>>>       at
>>>>> 
>>> org.apache.flink.client.CliFrontend.executeProgram(CliFrontend.java:371)
>>>>>       at org.apache.flink.client.CliFrontend.run(CliFrontend.java:344)
>>>>>       at
>>>>> 
>>> org.apache.flink.client.CliFrontend.parseParameters(CliFrontend.java:1087)
>>>>>       at
>>> org.apache.flink.client.CliFrontend.main(CliFrontend.java:1114)
>>>>> Caused by: java.io.IOException: JobManager at akka.tcp://flink@fe80
>>> :0:0:0:742b:7f78:fab5:68e2%11:6123/user/jobmanager
>>>>> not reachable. Please make sure that the JobManager is running and its
>>> port
>>>>> is reachable.
>>>>>       at
>>>>> 
>>> org.apache.flink.runtime.jobmanager.JobManager$.getJobManagerRemoteReference(JobManager.scala:957)
>>>>>       at
>>>>> 
>>> org.apache.flink.runtime.client.JobClient$.createJobClient(JobClient.scala:151)
>>>>>       at
>>>>> 
>>> org.apache.flink.runtime.client.JobClient$.createJobClientFromConfig(JobClient.scala:142)
>>>>>       at
>>>>> 
>>> org.apache.flink.runtime.client.JobClient$.startActorSystemAndActor(JobClient.scala:125)
>>>>>       at
>>>>> 
>>> org.apache.flink.runtime.client.JobClient.startActorSystemAndActor(JobClient.scala)
>>>>>       at org.apache.flink.client.program.Client.run(Client.java:322)
>>>>>       ... 15 more
>>>>> Caused by: akka.actor.ActorNotFound: Actor not found for:
>>>>> ActorSelection[Anchor(akka://flink/deadLetters), Path(/)]
>>>>>       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$DefaultPromise.scala$concurrent$impl$Promise$DefaultPromise$$dispatchOrAddCallback(Promise.scala:280)
>>>>>       at
>>>>> 
>>> scala.concurrent.impl.Promise$DefaultPromise.onComplete(Promise.scala:270)
>>>>>       at akka.actor.ActorSelection.resolveOne(ActorSelection.scala:63)
>>>>>       at
>>>>> 
>>> org.apache.flink.runtime.akka.AkkaUtils$.getReference(AkkaUtils.scala:321)
>>>>>       at
>>>>> 
>>> org.apache.flink.runtime.jobmanager.JobManager$.getJobManagerRemoteReference(JobManager.scala:952)
>>>>>       ... 20 more
>>>>> 
>>>>> The exception above occurred while trying to run your command.
>>>>> 
>>>>> 
>>>>> 
>>>>> 
>>>>> 
>>>>> Client log doesn’t seem to show any info,
>>>>> 
>>>>> 
>>>>> 21:06:01,521 WARN  org.apache.hadoop.util.NativeCodeLoader
>>>>>      - Unable to load native-hadoop library for your platform... using
>>>>> builtin-java classes where applicable
>>>>> 21:06:01,935 INFO  org.apache.flink.api.java.ExecutionEnvironment
>>>>>     - The job has 0 registered types and 0 default Kryo serializers
>>>>> 21:06:02,857 INFO  akka.event.slf4j.Slf4jLogger
>>>>>     - Slf4jLogger started
>>>>> 21:06:02,909 INFO  Remoting
>>>>>     - Starting remoting
>>>>> 21:06:03,158 INFO  Remoting
>>>>>     - Remoting started; listening on addresses :[akka.tcp://
>>>>> flink@127.0.0.1:49463]
>>> 
>>> 
>> 

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