Flink uses Akka internally, and Akka requires to have exact host/ip
addresses to bind to. Maybe that is the crash you see.
Having the exact exception would help.
On Sun, Aug 30, 2015 at 3:57 PM, Robert Metzger <rmetz...@apache.org> wrote:
> How is Flink crashing when you start it on the Linux machine in Amazon?
>
> Can you post the exception here?
>
> On Sun, Aug 30, 2015 at 3:48 PM, Alexey Sapozhnikov <ale...@scalabill.it>
> wrote:
>
> > Hello Stephan.
> >
> > We run this Linux machine on Amazon, which I predict, most of the people
> > will do.
> > We tried to put "0.0.0.0" or Public IP of the machine- Flink crashes on
> > start, it doesnt recognize himself.
> > It is very strange that it doesnt work with 0.0.0.0- basically this is a
> > way in Java to make it being seen widely.
> > We tried to put there the hostname - what you get from "hostname"
> command.
> > It crashes.
> > It works only with "localhost" and works only locally
> > So what you suggest we will put there so the remote client could connect.
> > ?
> >
> > Best regards
> >
> > On Sun, Aug 30, 2015 at 4:34 PM, Stephan Ewen <se...@apache.org> wrote:
> >
> > > Do you start Flink via YARN? In that case the "jobmanager.rpc.address"
> is
> > > not used, because YARN assigns containers/nodes.
> > >
> > > If you start Flink in "standalone" mode, this should be the address of
> > the
> > > node that runs the JobManager. It will be used as the host/IP that
> Flink
> > > binds to. The same host should then be used in the RemoteEnvironment.
> > >
> > > Stephan
> > >
> > >
> > > On Sun, Aug 30, 2015 at 3:25 PM, Hanan Meyer <ha...@scalabill.it>
> wrote:
> > >
> > > > Hello all.
> > > >
> > > > Firstly- thank you for your valuable advices.
> > > > We did some very fine tuned pinpoint test and comes to following
> > > > conclusions
> > > >
> > > > 1.We run on Ubuntu 14 flink for hadoop 2.7
> > > > 2.Once we copy our Java client program directy to the machine and run
> > it
> > > > directly there it worked very good
> > > > The program is
> > > >
> > > > .....
> > > >
> > > > ExecutionEnvironment envRemote
> > > > =ExecutionEnvironment.createRemoteEnvironment("localhost", 6123,
> > > > "\usr\local\HananTestProj.jar");
> > > >
> > > >
> > > > org.apache.flink.api.java.DataSet text =
> > > > (org.apache.flink.api.java.DataSet) envRemote.fromElements(
> > > > "Who's there?",
> > > > "I think I hear them. Stand, ho! Who's there?");
> > > >
> > > > org.apache.flink.api.java.DataSet<Tuple2<String, Integer>>
> > > > wordCounts = text
> > > > .flatMap(new LineSplitter())
> > > > .groupBy(0)
> > > > .sum(1);
> > > >
> > > > wordCounts.print();
> > > > }
> > > >
> > > > public static class LineSplitter implements
> FlatMapFunction<String,
> > > > Tuple2<String, Integer>> {
> > > > public void flatMap(String line, Collector<Tuple2<String,
> > > Integer>>
> > > > out) {
> > > > for (String word : line.split(" ")) {
> > > > out.collect(new Tuple2<String, Integer>(word, 1));
> > > > }
> > > > }
> > > > }
> > > >
> > > > .....
> > > > Program works fine
> > > > 3.Now we are trying to run this program remotely , from windows
> machine
> > > > when the first row looks differently
> > > > ExecutionEnvironment envRemote
> > > > =ExecutionEnvironment.createRemoteEnvironment("1.2.3.4", 6123,
> > > > "C:\\HananTestProj.jar");
> > > > when 1.2.3.4 is IP address of fink machine
> > > >
> > > > 4.We got an exception :Jobmanager at 1.2.3.4 cant be reached bla bla
> > bla
> > > >
> > > > 5.in flink configuration we found a following line
> > > jobmanager.rpc.address:
> > > > localhost
> > > > Flink cant be started with any other value (hostname/ipaddress )
> except
> > > the
> > > > localhost
> > > >
> > > >
> > > > 6.We assume that probably Flink has a critical bug : it cant be
> started
> > > > from remote machine, only locally. Are we right? Are we wrong? Should
> > we
> > > > fill JIRA ?
> > > > Maybe we need somehow to configure Flink differently?
> > > >
> > > > Please advice
> > > > Best regards
> > > >
> > > >
> > > >
> > > > On Sun, Aug 30, 2015 at 3:19 PM, Robert Metzger <rmetz...@apache.org
> >
> > > > wrote:
> > > >
> > > > > The output of the YARN session should look like this:
> > > > >
> > > > > Flink JobManager is now running on quickstart.cloudera:39956
> > > > > JobManager Web Interface:
> > > > >
> > http://quickstart.cloudera:8088/proxy/application_1440768826963_0005/
> > > > > Number of connected TaskManagers changed to 1. Slots available: 1
> > > > >
> > > > >
> > > > >
> > > > >
> > > > > On Sun, Aug 30, 2015 at 11:12 AM, Stephan Ewen <se...@apache.org>
> > > wrote:
> > > > >
> > > > > > The only thing I can think of is that you are not using the right
> > > > > host/port
> > > > > > for the JobManager.
> > > > > >
> > > > > > When you start the YARN session, it should print the host where
> the
> > > > > > JobManager runs. You also need to take the port from there, as in
> > > YARN,
> > > > > the
> > > > > > port is usually not 6123. Yarn starts many services on one
> machine,
> > > so
> > > > > the
> > > > > > ports need to be randomized.
> > > > > >
> > > > > > It may be worth adding a YARNExecutionEnvironment at some point,
> > > which
> > > > > > deals with this transparent (starting the YARN cluster,
> connecting
> > to
> > > > the
> > > > > > JobManager).
> > > > > >
> > > > > > On Sun, Aug 30, 2015 at 10:12 AM, Hanan Meyer <
> ha...@scalabill.it>
> > > > > wrote:
> > > > > >
> > > > > > > Hello.
> > > > > > > Let me clarify the situation.
> > > > > > > 1. We are using flink 0.9.0 for Hadoop 2.7. We connected it to
> > HDFS
> > > > > > 2.7.1.
> > > > > > > 2. Locally, our program is working: once we run flink as
> > > > > > ./start-local.sh,
> > > > > > > we are able to connect and run the createRemoteEnvironment and
> > > > Execute
> > > > > > > methods.
> > > > > > > 3.Due to our architecture and basic Flink feature we want to
> > invoke
> > > > > this
> > > > > > > functionality REMOTELY , when our Java code is calling the
> Flink
> > > > > methods
> > > > > > > from another server.
> > > > > > > 4.We tried both
> > > > ExecutionEnvironment.createRemoteEnvironment("1.2.3.1",
> > > > > > > 6123, "TestProj.jar"); and
> > > > > ExecutionEnvironment.createRemoteEnvironment("
> > > > > > > flink@1.2.3.1", 6123, "TestProj.jar"); (which is definitely
> not
> > > > right
> > > > > > > since
> > > > > > > it should be an IP address) - it crash on the "cant reach
> > > JobManager"
> > > > > > > error.
> > > > > > >
> > > > > > > It seems to us that it can be one of 2 issues.
> > > > > > > 1.Somehow we need to configure flink to accept the connections
> > from
> > > > the
> > > > > > > remote machine
> > > > > > > 2.Flink has a critical showstopper bug that jeopardizing a
> whole
> > > > > decision
> > > > > > > to use this technology.
> > > > > > >
> > > > > > > Please advise us how we should advance.
> > > > > > >
> > > > > > >
> > > > > > >
> > > > > > >
> > > > > > > On Fri, Aug 28, 2015 at 10:27 AM, Robert Metzger <
> > > > rmetz...@apache.org>
> > > > > > > wrote:
> > > > > > >
> > > > > > > > Hi,
> > > > > > > >
> > > > > > > > in the exception you've posted earlier, you can see the
> > following
> > > > > root
> > > > > > > > cause:
> > > > > > > >
> > > > > > > > Caused by: akka.actor.ActorNotFound: Actor not found for:
> > > > > > > > ActorSelection[Anchor(akka.tcp://flink@FLINK_SERVER_URL
> > :6123/),
> > > > > > > > Path(/user/jobmanager)]
> > > > > > > >
> > > > > > > > This string "akka.tcp://flink@FLINK_SERVER_URL:6123/"
> usually
> > > > looks
> > > > > > like
> > > > > > > > this: "akka.tcp://flink@1.2.3.4:6123/". So it seems that you
> > are
> > > > > > > > passing FLINK_SERVER_URL
> > > > > > > > as the server hostname (or ip).
> > > > > > > > Can you pass the correct hostname when you call
> > > > ExecutionEnvironment.
> > > > > > > > createRemoteEnvironment().
> > > > > > > >
> > > > > > > > On Fri, Aug 28, 2015 at 7:52 AM, Hanan Meyer <
> > ha...@scalabill.it
> > > >
> > > > > > wrote:
> > > > > > > >
> > > > > > > > > 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
> > > > > > > > > >> > >> >
> > > > > > > > > >> > >>
> > > > > > > > > >> > >
> > > > > > > > > >> > >
> > > > > > > > > >> >
> > > > > > > > > >>
> > > > > > > > > >
> > > > > > > > > >
> > > > > > > > >
> > > > > > > >
> > > > > > >
> > > > > >
> > > > >
> > > >
> > >
> >
> >
> >
> > --
> >
> > *Regards*
> >
> > *Alexey Sapozhnikov*
> > CTO& Co-Founder
> > Scalabillit Inc
> > Aba Even 10-C, Herzelia, Israel
> > M : +972-52-2363823
> > E : ale...@scalabill.it
> > W : http://www.scalabill.it
> > YT - https://youtu.be/9Rj309PTOFA
> > Map:http://mapta.gs/Scalabillit
> > Revolutionizing Proof-of-Concept
> >
>
