[jira] [Created] (FLINK-20283) Make invalid managed memory fraction errors of python udf more user friendly

[Shang Yuanchun (Jira)]

Zhu Zhu created FLINK-20283:
-------------------------------

             Summary: Make invalid managed memory fraction errors of python udf more user friendly
                 Key: FLINK-20283
                 URL: https://issues.apache.org/jira/browse/FLINK-20283
             Project: Flink
          Issue Type: Improvement
          Components: API / Python
    Affects Versions: 1.12.0
            Reporter: Zhu Zhu
             Fix For: 1.12.0


When managed memory is required for python udf but its "taskmanager.memory.managed.consumer-weights" is set to 0, error will happen but the message is hard to understand for users, see [1].

I think we should expose the invalid fraction error to users in this case and guide users to properly configure "taskmanager.memory.managed.consumer-weights".

[1] org.apache.flink.runtime.JobException: Recovery is suppressed by NoRestartBackoffTimeStrategy
        at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.handleFailure(ExecutionFailureHandler.java:116)
        at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:78)
        at org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:224)
        at org.apache.flink.runtime.scheduler.DefaultScheduler.maybeHandleTaskFailure(DefaultScheduler.java:217)
        at org.apache.flink.runtime.scheduler.DefaultScheduler.updateTaskExecutionStateInternal(DefaultScheduler.java:208)
        at org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:534)
        at org.apache.flink.runtime.scheduler.SchedulerNG.updateTaskExecutionState(SchedulerNG.java:89)
        at org.apache.flink.runtime.jobmaster.JobMaster.updateTaskExecutionState(JobMaster.java:419)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:498)
        at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:286)
        at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:201)
        at org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:74)
        at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:154)
        at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:26)
        at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:21)
        at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:123)
        at akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:21)
        at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:170)
        at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171)
        at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171)
        at akka.actor.Actor$class.aroundReceive(Actor.scala:517)
        at akka.actor.AbstractActor.aroundReceive(AbstractActor.scala:225)
        at akka.actor.ActorCell.receiveMessage(ActorCell.scala:592)
        at akka.actor.ActorCell.invoke(ActorCell.scala:561)
        at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:258)
        at akka.dispatch.Mailbox.run(Mailbox.scala:225)
        at akka.dispatch.Mailbox.exec(Mailbox.scala:235)
        at akka.dispatch.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
        at akka.dispatch.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
        at akka.dispatch.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
        at akka.dispatch.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
Caused by: java.lang.IllegalArgumentException
        at org.apache.flink.util.Preconditions.checkArgument(Preconditions.java:126)
        at org.apache.flink.streaming.api.runners.python.beam.BeamPythonFunctionRunner.open(BeamPythonFunctionRunner.java:254)
        at org.apache.flink.streaming.api.operators.python.AbstractPythonFunctionOperator.open(AbstractPythonFunctionOperator.java:121)
        at org.apache.flink.table.runtime.operators.python.AbstractStatelessFunctionOperator.open(AbstractStatelessFunctionOperator.java:134)
        at org.apache.flink.table.runtime.operators.python.scalar.AbstractPythonScalarFunctionOperator.open(AbstractPythonScalarFunctionOperator.java:94)
        at org.apache.flink.table.runtime.operators.python.scalar.AbstractRowPythonScalarFunctionOperator.open(AbstractRowPythonScalarFunctionOperator.java:67)
        at org.apache.flink.table.runtime.operators.python.scalar.PythonScalarFunctionOperator.open(PythonScalarFunctionOperator.java:64)
        at org.apache.flink.streaming.runtime.tasks.OperatorChain.initializeStateAndOpenOperators(OperatorChain.java:401)
        at org.apache.flink.streaming.runtime.tasks.StreamTask.lambda$beforeInvoke$2(StreamTask.java:506)
        at org.apache.flink.streaming.runtime.tasks.StreamTaskActionExecutor$SynchronizedStreamTaskActionExecutor.runThrowing(StreamTaskActionExecutor.java:92)
        at org.apache.flink.streaming.runtime.tasks.StreamTask.beforeInvoke(StreamTask.java:501)
        at org.apache.flink.streaming.runtime.tasks.StreamTask.invoke(StreamTask.java:530)
        at org.apache.flink.runtime.taskmanager.Task.doRun(Task.java:722)
        at org.apache.flink.runtime.taskmanager.Task.run(Task.java:547)
        at java.lang.Thread.run(Thread.java:748)



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