Hello, I am not sure if I can give updates to an email I send to the user list before getting any response, but here is a quick update:
I tried to run using one processor: ./bin/flink run -p 1 ./examples/flink-java-examples-0.9.1-WordCount.jar and that worked. It seems to be an issue with configuring to the other workers. I further realized that the reason there were only 5 processing slots on the Dashboard was that I only changed flnk-conf.yaml on the master node, though I changed that for all workers as well, and the Dashboard now shows 8 processing slots. I stopped and re-started the cluster, and the example runs (even w/o the -p 1 setting) Best, Dan On Sun, Sep 13, 2015 at 10:40 AM, Daniel Blazevski < daniel.blazev...@gmail.com> wrote: > Hello, > > I am new to Flink, I setup a Flink cluster on 4 m4.large Amazon EC2 > instances, and set the following in link-conf.yaml: > > jobmanager.heap.mb: 4000 > taskmanager.heap.mb: 5000 > taskmanager.numberOfTaskSlots: 2 > parallelism.default: 8 > > In the 8081 dashboard, it shows 4 for Task Manager and 5 for Processing > Slots ( I’m not sure if “5” is OK here?). > > I then tried to execute: > > ./bin/flink run ./examples/flink-java-examples-0.9.1-WordCount.jar > > and got the following error message: > Error: java.lang.IllegalStateException: Could not schedule consumer vertex > CHAIN Reduce (SUM(1), at main(WordCount.java:72) -> FlatMap (collect()) > (7/8) > at > org.apache.flink.runtime.executiongraph.Execution$3.call(Execution.java:482) > at > org.apache.flink.runtime.executiongraph.Execution$3.call(Execution.java:472) > at akka.dispatch.Futures$$anonfun$future$1.apply(Future.scala:94) > at > scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24) > at > scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24) > at > scala.concurrent.impl.ExecutionContextImpl$$anon$3.exec(ExecutionContextImpl.scala:107) > at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260) > at > scala.concurrent.forkjoin.ForkJoinPool$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 (CHAIN Reduce (SUM(1), at > main(WordCount.java:72) -> FlatMap (collect()) (7/8)) @ (unassigned) - > [SCHEDULED] > with groupID < 6adebf08c73e7f3adb6ea20f8950d627 > in sharing > group < SlotSharingGroup [02cac542946daf808c406c2b18e252e0, > d883aa4274b6cef49ab57aaf3078147c, 6adebf08c73e7f3adb6ea20f8950d627] >. > Resources available to scheduler: Number of instances=4, total number of > slots=5, available slots=0 > at > org.apache.flink.runtime.jobmanager.scheduler.Scheduler.scheduleTask(Scheduler.java:251) > at > org.apache.flink.runtime.jobmanager.scheduler.Scheduler.scheduleImmediately(Scheduler.java:126) > at > org.apache.flink.runtime.executiongraph.Execution.scheduleForExecution(Execution.java:271) > at > org.apache.flink.runtime.executiongraph.ExecutionVertex.scheduleForExecution(ExecutionVertex.java:430) > at > org.apache.flink.runtime.executiongraph.Execution$3.call(Execution.java:478) > ... 9 more > > > More details about my setup: I am running Ubuntu on the master node and 3 > data nodes. If it matters, I already had hadoop 2.7.1 running and > downloaded and installed the latest version of Flink, which is technically > for hadoop 2.7.0. > > Thanks, > Dan >
