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
