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https://issues.apache.org/jira/browse/FLINK-3020?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15007041#comment-15007041
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ASF GitHub Bot commented on FLINK-3020:
---------------------------------------

GitHub user mxm opened a pull request:

    https://github.com/apache/flink/pull/1360

    [FLINK-3020][streaming] set local default parallelism to maxmium parallelism

    

You can merge this pull request into a Git repository by running:

    $ git pull https://github.com/mxm/flink FLINK-3020

Alternatively you can review and apply these changes as the patch at:

    https://github.com/apache/flink/pull/1360.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #1360
    
----
commit 0aeb52ced687912cb3e3c268d27486aa5be5936f
Author: Maximilian Michels <m...@apache.org>
Date:   2015-11-16T18:04:31Z

    [FLINK-3020][streaming] set local default parallelism to maxmium parallelism

----


> Local streaming execution: set number of task manager slots to the maximum 
> parallelism
> --------------------------------------------------------------------------------------
>
>                 Key: FLINK-3020
>                 URL: https://issues.apache.org/jira/browse/FLINK-3020
>             Project: Flink
>          Issue Type: Bug
>          Components: Local Runtime
>    Affects Versions: 0.10.0
>            Reporter: Maximilian Michels
>            Assignee: Maximilian Michels
>            Priority: Minor
>             Fix For: 1.0.0, 0.10.1
>
>
> Quite an inconvenience is the local execution configuration behavior. It sets 
> the number of task slots of the mini cluster to the default parallelism. This 
> causes problem if you use {{setParallelism(parallelism)}} on an operator and 
> set a parallelism larger than the default parallelism.
> {noformat}
> Caused by: 
> 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 (Flat Map (9/100)) @ 
> (unassigned) - [SCHEDULED] > with groupID < fa7240ee1fed08bd7e6278899db3e838 
> > in sharing group < SlotSharingGroup [f3d578e9819be9c39ceee86cf5eb8c08, 
> 8fa330746efa1d034558146e4604d0b4, fa7240ee1fed08bd7e6278899db3e838] >. 
> Resources available to scheduler: Number of instances=1, total number of 
> slots=8, available slots=0
>       at 
> org.apache.flink.runtime.jobmanager.scheduler.Scheduler.scheduleTask(Scheduler.java:256)
>       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:982)
>       at 
> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$org$apache$flink$runtime$jobmanager$JobManager$$submitJob$1.apply(JobManager.scala:962)
>       at 
> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$org$apache$flink$runtime$jobmanager$JobManager$$submitJob$1.apply(JobManager.scala:962)
>       at 
> scala.concurrent.impl.Future$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.runTask(ForkJoinPool.java:1339)
>       ... 2 more
> {noformat}
> I propose to change this behavior to setting the number of task slots to the 
> maximum parallelism present in the user program.
> What do you think?



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