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https://issues.apache.org/jira/browse/FLINK-2002?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Márton Balassi closed FLINK-2002.
---------------------------------
Resolution: Fixed
Fix Version/s: 0.9
> Iterative test fails when ran with other tests in the same environment
> ----------------------------------------------------------------------
>
> Key: FLINK-2002
> URL: https://issues.apache.org/jira/browse/FLINK-2002
> Project: Flink
> Issue Type: Bug
> Components: Streaming
> Reporter: Péter Szabó
> Assignee: Márton Balassi
> Fix For: 0.9
>
>
> I run tests in the same StreamExecutionEnvironment with
> MultipleProgramsTestBase. One of the tests uses an iterative data stream. It
> fails as well as all tests after that. (When I put the iterative test in a
> separate environment, all tests passes.) For me it seems that it is a
> state-related issue but there is also some problem with the broker slots.
> The iterative test throws:
> java.lang.Exception: TaskManager sent illegal state update: CANCELING
> at
> org.apache.flink.runtime.executiongraph.ExecutionGraph.updateState(ExecutionGraph.java:618)
> at
> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$receiveWithLogMessages$1$$anonfun$applyOrElse$2.apply$mcV$sp(JobManager.scala:222)
> at
> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$receiveWithLogMessages$1$$anonfun$applyOrElse$2.apply(JobManager.scala:221)
> at
> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$receiveWithLogMessages$1$$anonfun$applyOrElse$2.apply(JobManager.scala:221)
> at
> scala.concurrent.impl.Future$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)
> org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
> at
> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$receiveWithLogMessages$1.applyOrElse(JobManager.scala:314)
> at
> scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)
> at
> scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)
> at
> scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)
> at
> org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:36)
> at
> org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:29)
> at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:118)
> at
> org.apache.flink.runtime.ActorLogMessages$$anon$1.applyOrElse(ActorLogMessages.scala:29)
> at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
> at
> org.apache.flink.runtime.jobmanager.JobManager.aroundReceive(JobManager.scala:95)
> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
> at akka.actor.ActorCell.invoke(ActorCell.scala:487)
> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:254)
> at akka.dispatch.Mailbox.run(Mailbox.scala:221)
> at akka.dispatch.Mailbox.exec(Mailbox.scala:231)
> 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)
> 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 (GroupedActiveDiscretizer
> (2/4)) @ (unassigned) - [SCHEDULED] > with groupID <
> e8f7c9c85e64403962648bc7e2aead8b > in sharing group < SlotSharingGroup
> [5e62f1cc5cae2c088430ef935470a8d5, 5bc227941969d1daa1ebb1ba070b55ce,
> d999ee6c10730775a8fef1c6f1af1dbd, 45b73caa75424d84adbb7bb92671591d,
> 5c94c54d9316b827c6eba6c721329549, 794d6c56bee347dcdd62ffdf189de267,
> 4c3b72e17a4acecde4241fe6e63355b8, f6a6028c224a7b81e4802eeaf9c8487e,
> 989c68790fc7c5e2f8b8c150a33fef89, db93daa1f9e5194f0079df2629b08efb,
> bf7dbb1fd756ce322249eb973844b375, 9ddf3bd146c21c574077c58a1f64aeaa,
> e888ff4653070b9c4adcbb22a8121292, 9c620fd6d784bc4f5d7e100ad1dcb442,
> e8f7c9c85e64403962648bc7e2aead8b, 4fa798b9eab295876fdd21aeb6c7cfec,
> 32851c5f48ac128f71df0ec76f5b5ccd, c3f65a51704444b676cd392fbda91872] >.
> 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:212)
> at
> org.apache.flink.runtime.jobmanager.scheduler.Scheduler.scheduleImmediately(Scheduler.java:110)
> at
> org.apache.flink.runtime.executiongraph.Execution.scheduleForExecution(Execution.java:263)
> at
> org.apache.flink.runtime.executiongraph.ExecutionVertex.scheduleForExecution(ExecutionVertex.java:437)
> at
> org.apache.flink.runtime.executiongraph.ExecutionJobVertex.scheduleAll(ExecutionJobVertex.java:306)
> at
> org.apache.flink.runtime.executiongraph.ExecutionGraph.scheduleForExecution(ExecutionGraph.java:447)
> at
> org.apache.flink.runtime.jobmanager.JobManager.org$apache$flink$runtime$jobmanager$JobManager$$submitJob(JobManager.scala:580)
> at
> org.apache.flink.runtime.jobmanager.JobManager$$anonfun$receiveWithLogMessages$1.applyOrElse(JobManager.scala:194)
> at
> scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)
> at
> scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)
> at
> scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)
> at
> org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:36)
> at
> org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:29)
> at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:118)
> at
> org.apache.flink.runtime.ActorLogMessages$$anon$1.applyOrElse(ActorLogMessages.scala:29)
> at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
> at
> org.apache.flink.runtime.jobmanager.JobManager.aroundReceive(JobManager.scala:95)
> at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
> at akka.actor.ActorCell.invoke(ActorCell.scala:487)
> at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:254)
> at akka.dispatch.Mailbox.run(Mailbox.scala:221)
> at akka.dispatch.Mailbox.exec(Mailbox.scala:231)
> at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
> at
> scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
> ... 2 more
> while the following tests throw:
> java.lang.Exception: Error setting up runtime environment:
> java.lang.RuntimeException: Could not register the given element, broker slot
> is already occupied.
> at
> org.apache.flink.runtime.execution.RuntimeEnvironment.<init>(RuntimeEnvironment.java:192)
> at
> org.apache.flink.runtime.taskmanager.TaskManager.org$apache$flink$runtime$taskmanager$TaskManager$$initializeTask(TaskManager.scala:855)
> at
> org.apache.flink.runtime.taskmanager.TaskManager$$anonfun$submitTask$1.apply$mcV$sp(TaskManager.scala:799)
> at
> org.apache.flink.runtime.taskmanager.TaskManager$$anonfun$submitTask$1.apply(TaskManager.scala:799)
> at
> org.apache.flink.runtime.taskmanager.TaskManager$$anonfun$submitTask$1.apply(TaskManager.scala:799)
> at
> scala.concurrent.impl.Future$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: java.lang.RuntimeException: java.lang.RuntimeException: Could not
> register the given element, broker slot is already occupied.
> at
> org.apache.flink.streaming.runtime.tasks.StreamIterationHead.setInputsOutputs(StreamIterationHead.java:65)
> at
> org.apache.flink.streaming.runtime.tasks.StreamTask.registerInputOutput(StreamTask.java:86)
> at
> org.apache.flink.runtime.execution.RuntimeEnvironment.<init>(RuntimeEnvironment.java:189)
> ... 12 more
> Caused by: java.lang.RuntimeException: Could not register the given element,
> broker slot is already occupied.
> at
> org.apache.flink.runtime.iterative.concurrent.Broker.handIn(Broker.java:39)
> at
> org.apache.flink.streaming.runtime.tasks.StreamIterationHead.setInputsOutputs(StreamIterationHead.java:62)
> ... 14 more
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