Whoops, I meant Flink and not Beam (I had just visited the Beam mailing list).
-Max On Mon, Oct 10, 2016 at 12:08 PM, Maximilian Michels <m...@apache.org> wrote: > Normally, you should be able to directly execute your Beam program > from within your IDE. It automatically starts a local cluster with the > resources needed for the job. > > Which Beam version are you using? Could you post some of the code your > executing? > > -Max > > > On Sat, Oct 8, 2016 at 7:51 PM, Dayong <will...@gmail.com> wrote: >> You are able to run directly in IDE. Make sure you have right jar and port >> open. You can try examples shipped with flink source. >> >> Thanks, >> Dayong >> >> On Oct 8, 2016, at 1:35 PM, Abdul Salam Shaikh <abd.salam.sha...@gmail.com> >> wrote: >> >> Is it necessary to compile a flink program into a jar and deploy it using >> command line or we can directly execute the main class in IDE's like >> Netbeans. >> >> While trying to execute from the IDE I am always getting the following >> exception: >> >> Caused by: org.apache.flink.runtime.client.JobExecutionException: Job >> execution failed. >> at >> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$5.apply$mcV$sp(JobManager.scala:563) >> at >> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$5.apply(JobManager.scala:509) >> at >> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$handleMessage$1$$anonfun$applyOrElse$5.apply(JobManager.scala:509) >> at >> scala.concurrent.impl.Future$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) >> at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979) >> at >> scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107) >> >> 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 (Source: Custom Source (1/1)) >> @ (unassigned) - [SCHEDULED] > with groupID < >> 95b239d1777b2baf728645df9a1c4232 > in sharing group < SlotSharingGroup >> [772c9ff1cf0b6cb3a361e3352f75fcee, d4f856f13654f424d7c49d0f00f6ecca, >> 81bb8c4310faefe32f97ebd6baa4c04f, 95b239d1777b2baf728645df9a1c4232] >. >> Resources available to scheduler: Number of instances=0, total number of >> slots=0, 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: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) >> ... 8 more >> >> >> -- >> Thanks & Regards, >> >> Abdul Salam Shaikh >>
