Re: flink-storm FlinkLocalCluster issue

[Maximilian Michels]

Hi Zhang,

Please have a look here for the 1.0.0-rc2:

Binaries: http://people.apache.org/~rmetzger/flink-1.0.0-rc2/
Maven repository:
https://repository.apache.org/content/repositories/orgapacheflink-1064

Cheers,
Max

On Sat, Feb 27, 2016 at 4:00 AM, #ZHANG SHUHAO# <szhang...@e.ntu.edu.sg> wrote:
> Thanks for the confirmation.
>
> When will 1.0 be ready in maven repo?
>
>
>
> From: ewenstep...@gmail.com [mailto:ewenstep...@gmail.com] On Behalf Of
> Stephan Ewen
> Sent: Friday, February 26, 2016 9:07 PM
> To: user@flink.apache.org
> Subject: Re: flink-storm FlinkLocalCluster issue
>
>
>
> Hi!
>
>
>
> On 0.10.x, the Storm compatibility layer does not properly configure the
> Local Flink Executor to have the right parallelism.
>
>
>
> In 1.0 that is fixed. If you try the latest snapshot, or the
> 1.0-Release-Candidate-1, it should work.
>
>
>
> Greetings,
>
> Stephan
>
>
>
>
>
> On Fri, Feb 26, 2016 at 12:16 PM, #ZHANG SHUHAO# <szhang...@e.ntu.edu.sg>
> wrote:
>
> Hi till,
>
>
>
> Thanks for your reply.
>
> But it appears that it only started with #slot of 1.
>
> I have traced down to the source code of flink step by step, where I have
> confirmed it.
>
>
>
> I'm using flink 0.10.2, source code downloaded from flink website. Nothing
> have been changed. I simply try to run the flink-Storm word count local
> example.
>
>
>
> It just failed to work.
>
>
>
>
>
> Sent from my iPhone
>
>
> On 26 Feb 2016, at 6:16 PM, Till Rohrmann <trohrm...@apache.org> wrote:
>
> Hi Shuhao,
>
> the configuration you’re providing is only used for the storm compatibility
> layer and not Flink itself. When you run your job locally, the
> LocalFlinkMiniCluster should be started with as many slots as your maximum
> degree of parallelism is in your topology. You can check this in
> FlinkLocalCluster.java:96. When you submit your job to a remote cluster,
> then you have to define the number of slots in the flink-conf.yaml file.
>
> Cheers,
> Till
>
>
>
> On Fri, Feb 26, 2016 at 10:34 AM, #ZHANG SHUHAO# <szhang...@e.ntu.edu.sg>
> wrote:
>
> Hi everyone,
>
>
>
> I’m a student researcher working on Flink recently.
>
>
>
> I’m trying out the flink-storm example project, version 0.10.2,
> flink-storm-examples, word-count-local.
>
>
>
> But, I got the following error:
>
> org.apache.flink.runtime.jobmanager.scheduler.NoResourceAvailableException:
> Not enough free slots available to run the job. You can decrease the
> operator parallelism or increase the number of slots per TaskManager in the
> configuration. Task to schedule: < Attempt #0 (tokenizer (2/4)) @
> (unassigned) - [SCHEDULED] > with groupID < b86aa7eb76c417c63afb577ea46ddd72
>> in sharing group < SlotSharingGroup [0ea70b6a3927c02f29baf9de8f59575b,
> b86aa7eb76c417c63afb577ea46ddd72, cbc10505364629b45b28e79599c2f6b8] >.
> Resources available to scheduler: Number of instances=1, total number of
> slots=1, available slots=0
>
> at
> org.apache.flink.runtime.jobmanager.scheduler.Scheduler.scheduleTask(Scheduler.java:255)
>
> at
> org.apache.flink.runtime.jobmanager.scheduler.Scheduler.scheduleImmediately(Scheduler.java:131)
>
> at
> org.apache.flink.runtime.executiongraph.Execution.scheduleForExecution(Execution.java:298)
>
> at
> org.apache.flink.runtime.executiongraph.ExecutionVertex.scheduleForExecution(ExecutionVertex.java:458)
>
> at
> org.apache.flink.runtime.executiongraph.ExecutionJobVertex.scheduleAll(ExecutionJobVertex.java:322)
>
> at
> org.apache.flink.runtime.executiongraph.ExecutionGraph.scheduleForExecution(ExecutionGraph.java:686)
>
> at
> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$org$apache$flink$runtime$jobmanager$JobManager$$submitJob$1.apply$mcV$sp(JobManager.scala:992)
>
> at
> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$org$apache$flink$runtime$jobmanager$JobManager$$submitJob$1.apply(JobManager.scala:972)
>
> at
> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$org$apache$flink$runtime$jobmanager$JobManager$$submitJob$1.apply(JobManager.scala:972)
>
> at
> scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
>
> at
> scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
>
> at
> akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:41)
>
> at
> akka.dispatch.F

RE: flink-storm FlinkLocalCluster issue

[#ZHANG SHUHAO#]

Thanks for the confirmation.
When will 1.0 be ready in maven repo?

From: ewenstep...@gmail.com [mailto:ewenstep...@gmail.com] On Behalf Of Stephan 
Ewen
Sent: Friday, February 26, 2016 9:07 PM
To: user@flink.apache.org
Subject: Re: flink-storm FlinkLocalCluster issue

Hi!

On 0.10.x, the Storm compatibility layer does not properly configure the Local 
Flink Executor to have the right parallelism.

In 1.0 that is fixed. If you try the latest snapshot, or the 
1.0-Release-Candidate-1, it should work.

Greetings,
Stephan


On Fri, Feb 26, 2016 at 12:16 PM, #ZHANG SHUHAO# 
<szhang...@e.ntu.edu.sg<mailto:szhang...@e.ntu.edu.sg>> wrote:
Hi till,

Thanks for your reply.
But it appears that it only started with #slot of 1.
I have traced down to the source code of flink step by step, where I have 
confirmed it.

I'm using flink 0.10.2, source code downloaded from flink website. Nothing have 
been changed. I simply try to run the flink-Storm word count local example.

It just failed to work.


Sent from my iPhone

On 26 Feb 2016, at 6:16 PM, Till Rohrmann 
<trohrm...@apache.org<mailto:trohrm...@apache.org>> wrote:

Hi Shuhao,

the configuration you’re providing is only used for the storm compatibility 
layer and not Flink itself. When you run your job locally, the 
LocalFlinkMiniCluster should be started with as many slots as your maximum 
degree of parallelism is in your topology. You can check this in 
FlinkLocalCluster.java:96. When you submit your job to a remote cluster, then 
you have to define the number of slots in the flink-conf.yaml file.

Cheers,
Till
​

On Fri, Feb 26, 2016 at 10:34 AM, #ZHANG SHUHAO# 
<szhang...@e.ntu.edu.sg<mailto:szhang...@e.ntu.edu.sg>> wrote:
Hi everyone,

I’m a student researcher working on Flink recently.

I’m trying out the flink-storm example project, version 0.10.2, 
flink-storm-examples, word-count-local.

But, I got the following error:
org.apache.flink.runtime.jobmanager.scheduler.NoResourceAvailableException: Not 
enough free slots available to run the job. You can decrease the operator 
parallelism or increase the number of slots per TaskManager in the 
configuration. Task to schedule: < Attempt #0 (tokenizer (2/4)) @ (unassigned) 
- [SCHEDULED] > with groupID < b86aa7eb76c417c63afb577ea46ddd72 > in sharing 
group < SlotSharingGroup [0ea70b6a3927c02f29baf9de8f59575b, 
b86aa7eb76c417c63afb577ea46ddd72, cbc10505364629b45b28e79599c2f6b8] >. 
Resources available to scheduler: Number of instances=1, total number of 
slots=1, available slots=0
at 
org.apache.flink.runtime.jobmanager.scheduler.Scheduler.scheduleTask(Scheduler.java:255)
at 
org.apache.flink.runtime.jobmanager.scheduler.Scheduler.scheduleImmediately(Scheduler.java:131)
at 
org.apache.flink.runtime.executiongraph.Execution.scheduleForExecution(Execution.java:298)
at 
org.apache.flink.runtime.executiongraph.ExecutionVertex.scheduleForExecution(ExecutionVertex.java:458)
at 
org.apache.flink.runtime.executiongraph.ExecutionJobVertex.scheduleAll(ExecutionJobVertex.java:322)
at 
org.apache.flink.runtime.executiongraph.ExecutionGraph.scheduleForExecution(ExecutionGraph.java:686)
at 
org.apache.flink.runtime.jobmanager.JobManager$$anonfun$org$apache$flink$runtime$jobmanager$JobManager$$submitJob$1.apply$mcV$sp(JobManager.scala:992)
at 
org.apache.flink.runtime.jobmanager.JobManager$$anonfun$org$apache$flink$runtime$jobmanager$JobManager$$submitJob$1.apply(JobManager.scala:972)
at 
org.apache.flink.runtime.jobmanager.JobManager$$anonfun$org$apache$flink$runtime$jobmanager$JobManager$$submitJob$1.apply(JobManager.scala:972)
at 
scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
at 
scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:41)
at 
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:401)
at 
scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at 
scala.concurrent.forkjoin.ForkJoinPool$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)


I notice that by default, task manager has only one slot, changing the setting 
in flink-conf does not help as I want to debug locally through 
FlinkLocalCluster (not to submit it locally).

I have try the following:


Import backtype.storm.Config;




Config config = new Config();
config.put(ConfigConstants.TASK_MANAGER_NUM_TASK_S

Re: flink-storm FlinkLocalCluster issue

[Stephan Ewen]

Hi!

On 0.10.x, the Storm compatibility layer does not properly configure the
Local Flink Executor to have the right parallelism.

In 1.0 that is fixed. If you try the latest snapshot, or the
1.0-Release-Candidate-1, it should work.

Greetings,
Stephan


On Fri, Feb 26, 2016 at 12:16 PM, #ZHANG SHUHAO# 
wrote:

> Hi till,
>
> Thanks for your reply.
> But it appears that it only started with #slot of 1.
> I have traced down to the source code of flink step by step, where I have
> confirmed it.
>
> I'm using flink 0.10.2, source code downloaded from flink website. Nothing
> have been changed. I simply try to run the flink-Storm word count local
> example.
>
> It just failed to work.
>
>
> Sent from my iPhone
>
> On 26 Feb 2016, at 6:16 PM, Till Rohrmann  wrote:
>
> Hi Shuhao,
>
> the configuration you’re providing is only used for the storm
> compatibility layer and not Flink itself. When you run your job locally,
> the LocalFlinkMiniCluster should be started with as many slots as your
> maximum degree of parallelism is in your topology. You can check this in
> FlinkLocalCluster.java:96. When you submit your job to a remote cluster,
> then you have to define the number of slots in the flink-conf.yaml file.
>
> Cheers,
> Till
> ​
>
> On Fri, Feb 26, 2016 at 10:34 AM, #ZHANG SHUHAO# 
> wrote:
>
>> Hi everyone,
>>
>>
>>
>> I’m a student researcher working on Flink recently.
>>
>>
>>
>> I’m trying out the flink-storm example project, version 0.10.2,
>> flink-storm-examples, word-count-local.
>>
>>
>>
>> But, I got the following error:
>>
>> org.apache.flink.runtime.jobmanager.scheduler.NoResourceAvailableException:
>> Not enough free slots available to run the job. You can decrease the
>> operator parallelism or increase the number of slots per TaskManager in the
>> configuration. Task to schedule: < Attempt #0 (tokenizer (2/4)) @
>> (unassigned) - [SCHEDULED] > with groupID <
>> b86aa7eb76c417c63afb577ea46ddd72 > in sharing group < SlotSharingGroup
>> [0ea70b6a3927c02f29baf9de8f59575b, b86aa7eb76c417c63afb577ea46ddd72,
>> cbc10505364629b45b28e79599c2f6b8] >. Resources available to scheduler:
>> Number of instances=1, total number of slots=1, available slots=0
>>
>> at
>> org.apache.flink.runtime.jobmanager.scheduler.Scheduler.scheduleTask(Scheduler.java:255)
>>
>> at
>> org.apache.flink.runtime.jobmanager.scheduler.Scheduler.scheduleImmediately(Scheduler.java:131)
>>
>> at
>> org.apache.flink.runtime.executiongraph.Execution.scheduleForExecution(Execution.java:298)
>>
>> at
>> org.apache.flink.runtime.executiongraph.ExecutionVertex.scheduleForExecution(ExecutionVertex.java:458)
>>
>> at
>> org.apache.flink.runtime.executiongraph.ExecutionJobVertex.scheduleAll(ExecutionJobVertex.java:322)
>>
>> at
>> org.apache.flink.runtime.executiongraph.ExecutionGraph.scheduleForExecution(ExecutionGraph.java:686)
>>
>> at
>> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$org$apache$flink$runtime$jobmanager$JobManager$$submitJob$1.apply$mcV$sp(JobManager.scala:992)
>>
>> at
>> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$org$apache$flink$runtime$jobmanager$JobManager$$submitJob$1.apply(JobManager.scala:972)
>>
>> at
>> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$org$apache$flink$runtime$jobmanager$JobManager$$submitJob$1.apply(JobManager.scala:972)
>>
>> at
>> scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
>>
>> at
>> scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
>>
>> at
>> akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:41)
>>
>> at
>> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:401)
>>
>> at
>> scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>>
>> at
>> scala.concurrent.forkjoin.ForkJoinPool$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)
>>
>>
>>
>>
>>
>> I notice that by default, task manager has only one slot, changing the
>> setting in flink-conf does not help as I want to debug locally through
>> FlinkLocalCluster (not to submit it locally).
>>
>>
>>
>> I have try the following:
>>
>>
>>
>> Import backtype.storm.Config;
>>
>>
>>
>>
>>
>> *Config config *= new Config();
>> *config*.put(ConfigConstants.*TASK_MANAGER_NUM_TASK_SLOTS*, 1024);
>> cluster.submitTopology(*topologyId*, *config*, ft);
>>
>>
>>
>>
>>
>> But it’s not 

Re: flink-storm FlinkLocalCluster issue

[#ZHANG SHUHAO#]

Hi till,

Thanks for your reply.
But it appears that it only started with #slot of 1.
I have traced down to the source code of flink step by step, where I have 
confirmed it.

I'm using flink 0.10.2, source code downloaded from flink website. Nothing have 
been changed. I simply try to run the flink-Storm word count local example.

It just failed to work.


Sent from my iPhone

On 26 Feb 2016, at 6:16 PM, Till Rohrmann 
> wrote:


Hi Shuhao,

the configuration you’re providing is only used for the storm compatibility 
layer and not Flink itself. When you run your job locally, the 
LocalFlinkMiniCluster should be started with as many slots as your maximum 
degree of parallelism is in your topology. You can check this in 
FlinkLocalCluster.java:96. When you submit your job to a remote cluster, then 
you have to define the number of slots in the flink-conf.yaml file.

Cheers,
Till

​

On Fri, Feb 26, 2016 at 10:34 AM, #ZHANG SHUHAO# 
> wrote:
Hi everyone,

I’m a student researcher working on Flink recently.

I’m trying out the flink-storm example project, version 0.10.2, 
flink-storm-examples, word-count-local.

But, I got the following error:
org.apache.flink.runtime.jobmanager.scheduler.NoResourceAvailableException: Not 
enough free slots available to run the job. You can decrease the operator 
parallelism or increase the number of slots per TaskManager in the 
configuration. Task to schedule: < Attempt #0 (tokenizer (2/4)) @ (unassigned) 
- [SCHEDULED] > with groupID < b86aa7eb76c417c63afb577ea46ddd72 > in sharing 
group < SlotSharingGroup [0ea70b6a3927c02f29baf9de8f59575b, 
b86aa7eb76c417c63afb577ea46ddd72, cbc10505364629b45b28e79599c2f6b8] >. 
Resources available to scheduler: Number of instances=1, total number of 
slots=1, available slots=0
at 
org.apache.flink.runtime.jobmanager.scheduler.Scheduler.scheduleTask(Scheduler.java:255)
at 
org.apache.flink.runtime.jobmanager.scheduler.Scheduler.scheduleImmediately(Scheduler.java:131)
at 
org.apache.flink.runtime.executiongraph.Execution.scheduleForExecution(Execution.java:298)
at 
org.apache.flink.runtime.executiongraph.ExecutionVertex.scheduleForExecution(ExecutionVertex.java:458)
at 
org.apache.flink.runtime.executiongraph.ExecutionJobVertex.scheduleAll(ExecutionJobVertex.java:322)
at 
org.apache.flink.runtime.executiongraph.ExecutionGraph.scheduleForExecution(ExecutionGraph.java:686)
at 
org.apache.flink.runtime.jobmanager.JobManager$$anonfun$org$apache$flink$runtime$jobmanager$JobManager$$submitJob$1.apply$mcV$sp(JobManager.scala:992)
at 
org.apache.flink.runtime.jobmanager.JobManager$$anonfun$org$apache$flink$runtime$jobmanager$JobManager$$submitJob$1.apply(JobManager.scala:972)
at 
org.apache.flink.runtime.jobmanager.JobManager$$anonfun$org$apache$flink$runtime$jobmanager$JobManager$$submitJob$1.apply(JobManager.scala:972)
at 
scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
at 
scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:41)
at 
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:401)
at 
scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at 
scala.concurrent.forkjoin.ForkJoinPool$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)


I notice that by default, task manager has only one slot, changing the setting 
in flink-conf does not help as I want to debug locally through 
FlinkLocalCluster (not to submit it locally).

I have try the following:


Import backtype.storm.Config;




Config config = new Config();
config.put(ConfigConstants.TASK_MANAGER_NUM_TASK_SLOTS, 1024);
cluster.submitTopology(topologyId, config, ft);


But it’s not working.


Is there any way to work around?

Many thanks.

shuhao zhang (Tony).

Re: flink-storm FlinkLocalCluster issue

[Till Rohrmann]

Hi Shuhao,

the configuration you’re providing is only used for the storm compatibility
layer and not Flink itself. When you run your job locally, the
LocalFlinkMiniCluster should be started with as many slots as your maximum
degree of parallelism is in your topology. You can check this in
FlinkLocalCluster.java:96. When you submit your job to a remote cluster,
then you have to define the number of slots in the flink-conf.yaml file.

Cheers,
Till
​

On Fri, Feb 26, 2016 at 10:34 AM, #ZHANG SHUHAO# 
wrote:

> Hi everyone,
>
>
>
> I’m a student researcher working on Flink recently.
>
>
>
> I’m trying out the flink-storm example project, version 0.10.2,
> flink-storm-examples, word-count-local.
>
>
>
> But, I got the following error:
>
> org.apache.flink.runtime.jobmanager.scheduler.NoResourceAvailableException:
> Not enough free slots available to run the job. You can decrease the
> operator parallelism or increase the number of slots per TaskManager in the
> configuration. Task to schedule: < Attempt #0 (tokenizer (2/4)) @
> (unassigned) - [SCHEDULED] > with groupID <
> b86aa7eb76c417c63afb577ea46ddd72 > in sharing group < SlotSharingGroup
> [0ea70b6a3927c02f29baf9de8f59575b, b86aa7eb76c417c63afb577ea46ddd72,
> cbc10505364629b45b28e79599c2f6b8] >. Resources available to scheduler:
> Number of instances=1, total number of slots=1, available slots=0
>
> at
> org.apache.flink.runtime.jobmanager.scheduler.Scheduler.scheduleTask(Scheduler.java:255)
>
> at
> org.apache.flink.runtime.jobmanager.scheduler.Scheduler.scheduleImmediately(Scheduler.java:131)
>
> at
> org.apache.flink.runtime.executiongraph.Execution.scheduleForExecution(Execution.java:298)
>
> at
> org.apache.flink.runtime.executiongraph.ExecutionVertex.scheduleForExecution(ExecutionVertex.java:458)
>
> at
> org.apache.flink.runtime.executiongraph.ExecutionJobVertex.scheduleAll(ExecutionJobVertex.java:322)
>
> at
> org.apache.flink.runtime.executiongraph.ExecutionGraph.scheduleForExecution(ExecutionGraph.java:686)
>
> at
> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$org$apache$flink$runtime$jobmanager$JobManager$$submitJob$1.apply$mcV$sp(JobManager.scala:992)
>
> at
> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$org$apache$flink$runtime$jobmanager$JobManager$$submitJob$1.apply(JobManager.scala:972)
>
> at
> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$org$apache$flink$runtime$jobmanager$JobManager$$submitJob$1.apply(JobManager.scala:972)
>
> at
> scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
>
> at
> scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
>
> at
> akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:41)
>
> at
> akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(AbstractDispatcher.scala:401)
>
> at
> scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
>
> at
> scala.concurrent.forkjoin.ForkJoinPool$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)
>
>
>
>
>
> I notice that by default, task manager has only one slot, changing the
> setting in flink-conf does not help as I want to debug locally through
> FlinkLocalCluster (not to submit it locally).
>
>
>
> I have try the following:
>
>
>
> Import backtype.storm.Config;
>
>
>
>
>
> *Config config *= new Config();
> *config*.put(ConfigConstants.*TASK_MANAGER_NUM_TASK_SLOTS*, 1024);
> cluster.submitTopology(*topologyId*, *config*, ft);
>
>
>
>
>
> But it’s not working.
>
>
>
>
>
> Is there any way to work around?
>
>
>
> Many thanks.
>
>
>
> shuhao zhang (Tony).
>