Re: accessing flink HA cluster with scala shell/zeppelin notebook

[santoshg]

Hi Alexis,

Were you able to make this work ? I am also looking for zepplin integration
with Flink and this might be helpful.

Thanks
Santosh



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Re: accessing flink HA cluster with scala shell/zeppelin notebook

[Alexis Gendronneau]

Hi Robert, Hi Till,

I tried to setup high-availibility options in zepplin, but i guess it's
just a matter of flink version compatibility on zepplin side. I'll try to
compile zepplin with 1.2 and add needed parameter to see if its better.
Thanks for your help !

2017-03-27 15:09 GMT+02:00 Till Rohrmann :

> Hi Maciek and Alexis,
>
> as far as I can tell, I think it is currently not possible to use Zeppelin
> with a Flink cluster running in HA mode. In order to make it work, it would
> be necessary to specify either a Flink configuration for the Flink
> interpreter (this is probably the most general solution) or to enable the
> HA mode in Zeppelin. Enabling the HA mode would mean that we set 
> high-availability:
> zookeeper in the configuration and then set all the remaining
> high-availability configuration options [1] to the same values with which
> the Flink cluster was started. This would have to be contributed to the
> Zeppelin project.
>
> [1] https://ci.apache.org/projects/flink/flink-docs-
> release-1.3/setup/config.html#high-availability-ha
>
> Cheers,
> Till
> ​
>
> On Thu, Mar 23, 2017 at 11:41 AM, Robert Metzger 
> wrote:
>
>> Hi Alexis,
>>
>> did you set the Zookeeper configuration for Flink in Zeppelin?
>>
>> On Mon, Mar 20, 2017 at 11:37 AM, Alexis Gendronneau <
>> a.gendronn...@gmail.com> wrote:
>>
>>> Hello users,
>>>
>>> As Maciek, I'm currently trying to make apache Zeppelin 0.7 working with
>>> Flink. I have two versions of flink available (1.1.2 and 1.2.0). Each one
>>> is running in High-availability mode.
>>>
>>> When running jobs from Zeppelin in Flink local mode, everything works
>>> fine. But when trying to submit job to remote host (no matter which version
>>> involved), job is stuck in submitting phase until it reaches
>>> akka.client.timeout.
>>>
>>> I tried to increase timeout (like said in error raised in zeppelin), but
>>> it only increase time before error is finally raised (tested with 600s).
>>>
>>> On Flink side, nothing appears but :
>>>
>>> 2017-03-20 11:19:31,675 WARN  
>>> org.apache.flink.runtime.jobmanager.JobManager
>>> - Discard message LeaderSessionMessage(null,SubmitJob(JobGraph(jobId:
>>> 8af3a91762a171b04c4be0efe540f3d4) ,EXECUTION_RESULT_AND_STATE_CHANGES))
>>> because the expected leader session ID 
>>> Some(f955760c-d80d-4992-a148-5968026ca6e4)
>>> did not equal the received leader session ID None.
>>>
>>>
>>> On zepplin interpreter side, we get following stacktrace :
>>>
>>> bestCarrier: org.apache.flink.api.scala.DataSet[CarrierFlightsCount]
>>> = org.apache.flink.api.scala.DataSet@669fc812
>>> org.apache.flink.client.program.ProgramInvocationException: The
>>> program execution failed: Communication with JobManager failed: Job
>>> submission to the JobManager timed out. You may increase
>>> 'akka.client.timeout' in case the JobManager needs more time to
>>> configure and confirm the job submission.
>>>   at org.apache.flink.client.program.ClusterClient.run(ClusterCli
>>> ent.java:409)
>>>   at org.apache.flink.client.program.StandaloneClusterClient.subm
>>> itJob(StandaloneClusterClient.java:95)
>>>   at org.apache.flink.client.program.ClusterClient.run(ClusterCli
>>> ent.java:382)
>>>   at org.apache.flink.client.program.ClusterClient.run(ClusterCli
>>> ent.java:369)
>>>   at org.apache.flink.client.program.ClusterClient.run(ClusterCli
>>> ent.java:344)
>>>   at org.apache.flink.client.RemoteExecutor.executePlanWithJars(R
>>> emoteExecutor.java:211)
>>>   at org.apache.flink.client.RemoteExecutor.executePlan(RemoteExe
>>> cutor.java:188)
>>>   at org.apache.flink.api.java.RemoteEnvironment.execute(RemoteEn
>>> vironment.java:172)
>>>   at org.apache.flink.api.java.ExecutionEnvironment.execute(Execu
>>> tionEnvironment.java:896)
>>>   at org.apache.flink.api.scala.ExecutionEnvironment.execute(Exec
>>> utionEnvironment.scala:637)
>>>   at org.apache.flink.api.scala.DataSet.collect(DataSet.scala:547)
>>>   ... 36 elided
>>> Caused by: org.apache.flink.runtime.client.JobExecutionException:
>>> Communication with JobManager failed: Job submission to the JobManager
>>> timed out. You may increase 'akka.client.timeout' in case the JobManager
>>> needs more time to configure and confirm the job submission.
>>>   at org.apache.flink.runtime.client.JobClient.submitJobAndWait(J
>>> obClient.java:137)
>>>   at org.apache.flink.client.program.ClusterClient.run(ClusterCli
>>> ent.java:405)
>>>   ... 46 more
>>> Caused by: org.apache.flink.runtime.clien
>>> t.JobClientActorSubmissionTimeoutException: Job submission to the
>>> JobManager timed out. You may increase 'akka.client.timeout' in case the
>>> JobManager needs more time to configure and confirm the job submission.
>>>   at org.apache.flink.runtime.client.JobClientActor.handleMessage
>>> (JobClientActor.java:264)
>>>   at 

Re: accessing flink HA cluster with scala shell/zeppelin notebook

[Alexis Gendronneau]

Hello users,

As Maciek, I'm currently trying to make apache Zeppelin 0.7 working with
Flink. I have two versions of flink available (1.1.2 and 1.2.0). Each one
is running in High-availability mode.

When running jobs from Zeppelin in Flink local mode, everything works fine.
But when trying to submit job to remote host (no matter which version
involved), job is stuck in submitting phase until it reaches
akka.client.timeout.

I tried to increase timeout (like said in error raised in zeppelin), but it
only increase time before error is finally raised (tested with 600s).

On Flink side, nothing appears but :

2017-03-20 11:19:31,675 WARN
org.apache.flink.runtime.jobmanager.JobManager - Discard message
LeaderSessionMessage(null,SubmitJob(JobGraph(jobId:
8af3a91762a171b04c4be0efe540f3d4) ,EXECUTION_RESULT_AND_STATE_CHANGES))
because the expected leader session ID
Some(f955760c-d80d-4992-a148-5968026ca6e4) did not equal the received
leader session ID None.


On zepplin interpreter side, we get following stacktrace :

bestCarrier: org.apache.flink.api.scala.DataSet[CarrierFlightsCount]
= org.apache.flink.api.scala.DataSet@669fc812
org.apache.flink.client.program.ProgramInvocationException: The
program execution failed: Communication with JobManager failed: Job
submission to the JobManager timed out. You may increase
'akka.client.timeout' in case the JobManager needs more time to
configure and confirm the job submission.
  at
org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:409)
  at
org.apache.flink.client.program.StandaloneClusterClient.submitJob(StandaloneClusterClient.java:95)
  at
org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:382)
  at
org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:369)
  at
org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:344)
  at
org.apache.flink.client.RemoteExecutor.executePlanWithJars(RemoteExecutor.java:211)
  at
org.apache.flink.client.RemoteExecutor.executePlan(RemoteExecutor.java:188)
  at
org.apache.flink.api.java.RemoteEnvironment.execute(RemoteEnvironment.java:172)
  at
org.apache.flink.api.java.ExecutionEnvironment.execute(ExecutionEnvironment.java:896)
  at
org.apache.flink.api.scala.ExecutionEnvironment.execute(ExecutionEnvironment.scala:637)
  at org.apache.flink.api.scala.DataSet.collect(DataSet.scala:547)
  ... 36 elided
Caused by: org.apache.flink.runtime.client.JobExecutionException:
Communication with JobManager failed: Job submission to the JobManager
timed out. You may increase 'akka.client.timeout' in case the JobManager
needs more time to configure and confirm the job submission.
  at
org.apache.flink.runtime.client.JobClient.submitJobAndWait(JobClient.java:137)
  at
org.apache.flink.client.program.ClusterClient.run(ClusterClient.java:405)
  ... 46 more
Caused by:
org.apache.flink.runtime.client.JobClientActorSubmissionTimeoutException:
Job submission to the JobManager timed out. You may increase
'akka.client.timeout' in case the JobManager needs more time to configure
and confirm the job submission.
  at
org.apache.flink.runtime.client.JobClientActor.handleMessage(JobClientActor.java:264)
  at
org.apache.flink.runtime.akka.FlinkUntypedActor.handleLeaderSessionID(FlinkUntypedActor.java:90)
  at
org.apache.flink.runtime.akka.FlinkUntypedActor.onReceive(FlinkUntypedActor.java:70)
  at
akka.actor.UntypedActor$$anonfun$receive$1.applyOrElse(UntypedActor.scala:167)
  at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
  at akka.actor.UntypedActor.aroundReceive(UntypedActor.scala:97)
  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$WorkQueue.pollAndExecAll(ForkJoinPool.java:1253)
  at
scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1346)
  at
scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
  at
scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)

It looks like we have to add parameters on zepplin side, but I cant see
whats missing here. Any clue appreciated.

Regards,

2017-01-24 17:13 GMT+01:00 Aljoscha Krettek :

> +Till Rohrmann , do you know what can be used to
> access a HA cluster from that setting.
>
> Adding Till since he probably knows the HA stuff best.
>
> On Sun, 22 Jan 2017 at 15:58 Maciek Próchniak  wrote:
>
>> Hi,
>>
>> I have standalone Flink cluster configured with HA setting (i.e. with
>> zookeeper recovery). How should I access 

Re: accessing flink HA cluster with scala shell/zeppelin notebook

[Aljoscha Krettek]

+Till Rohrmann , do you know what can be used to
access a HA cluster from that setting.

Adding Till since he probably knows the HA stuff best.

On Sun, 22 Jan 2017 at 15:58 Maciek Próchniak  wrote:

> Hi,
>
> I have standalone Flink cluster configured with HA setting (i.e. with
> zookeeper recovery). How should I access it remotely, e.g. with Zeppelin
> notebook or scala shell?
>
> There are settings for host/port, but with HA setting they are not fixed
> - if I check which is *current leader* host and port and set that I get
> exception on job manager:
>
> 20:36:38.237 [flink-akka.actor.default-dispatcher-22704] WARN
> o.a.f.runtime.jobmanager.JobManager - Discard message
> LeaderSessionMessage(null,SubmitJob(JobGraph(jobId:
> 02a3a43464b2a750e04855d4c0b6fecb),EXECUTION_RESULT_AND_STATE_CHANGES))
> because the expected leader session ID
> Some(1a4e9d39-2c59-45bb-b81c-d867bec1958d) did not equal the received
> leader session ID None.
>
> - I guess it's reasonable behaviour, since I should use appropriate
> LeaderRetrievalService and so on. But apparently there's no such
> possibility in scala flink shell?
>
> Is it missing feature? I can prepare patch, but I'm not sure how would I
> hook behaviour of ClusterClient into FlinkILoop?
>
> thanks,
>
> maciek
>
>

accessing flink HA cluster with scala shell/zeppelin notebook

[Maciek Próchniak]

Hi,

I have standalone Flink cluster configured with HA setting (i.e. with 
zookeeper recovery). How should I access it remotely, e.g. with Zeppelin 
notebook or scala shell?


There are settings for host/port, but with HA setting they are not fixed 
- if I check which is *current leader* host and port and set that I get 
exception on job manager:


20:36:38.237 [flink-akka.actor.default-dispatcher-22704] WARN 
o.a.f.runtime.jobmanager.JobManager - Discard message 
LeaderSessionMessage(null,SubmitJob(JobGraph(jobId: 
02a3a43464b2a750e04855d4c0b6fecb),EXECUTION_RESULT_AND_STATE_CHANGES)) 
because the expected leader session ID 
Some(1a4e9d39-2c59-45bb-b81c-d867bec1958d) did not equal the received 
leader session ID None.


- I guess it's reasonable behaviour, since I should use appropriate 
LeaderRetrievalService and so on. But apparently there's no such 
possibility in scala flink shell?


Is it missing feature? I can prepare patch, but I'm not sure how would I 
hook behaviour of ClusterClient into FlinkILoop?


thanks,

maciek