感谢回复!

日志内容如下:

2022-04-28 19:58:20
org.apache.flink.runtime.JobException: Recovery is suppressed by 
NoRestartBackoffTimeStrategy
at 
org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.handleFailure(ExecutionFailureHandler.java:138)
at 
org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:82)
at 
org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:207)
at 
org.apache.flink.runtime.scheduler.DefaultScheduler.maybeHandleTaskFailure(DefaultScheduler.java:197)
at 
org.apache.flink.runtime.scheduler.DefaultScheduler.updateTaskExecutionStateInternal(DefaultScheduler.java:188)
at 
org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:677)
at 
org.apache.flink.runtime.scheduler.UpdateSchedulerNgOnInternalFailuresListener.notifyTaskFailure(UpdateSchedulerNgOnInternalFailuresListener.java:51)
at 
org.apache.flink.runtime.executiongraph.DefaultExecutionGraph.notifySchedulerNgAboutInternalTaskFailure(DefaultExecutionGraph.java:1462)
at 
org.apache.flink.runtime.executiongraph.Execution.processFail(Execution.java:1140)
at 
org.apache.flink.runtime.executiongraph.Execution.processFail(Execution.java:1080)
at org.apache.flink.runtime.executiongraph.Execution.fail(Execution.java:783)
at 
org.apache.flink.runtime.jobmaster.slotpool.SingleLogicalSlot.signalPayloadRelease(SingleLogicalSlot.java:195)
at 
org.apache.flink.runtime.jobmaster.slotpool.SingleLogicalSlot.release(SingleLogicalSlot.java:182)
at 
org.apache.flink.runtime.scheduler.SharedSlot.lambda$release$4(SharedSlot.java:271)
at java.util.concurrent.CompletableFuture.uniAccept(CompletableFuture.java:670)
at 
java.util.concurrent.CompletableFuture.uniAcceptStage(CompletableFuture.java:683)
at 
java.util.concurrent.CompletableFuture.thenAccept(CompletableFuture.java:2010)
at org.apache.flink.runtime.scheduler.SharedSlot.release(SharedSlot.java:271)
at 
org.apache.flink.runtime.jobmaster.slotpool.AllocatedSlot.releasePayload(AllocatedSlot.java:152)
at 
org.apache.flink.runtime.jobmaster.slotpool.DefaultDeclarativeSlotPool.releasePayload(DefaultDeclarativeSlotPool.java:385)
at 
org.apache.flink.runtime.jobmaster.slotpool.DefaultDeclarativeSlotPool.releaseSlots(DefaultDeclarativeSlotPool.java:361)
at 
org.apache.flink.runtime.jobmaster.slotpool.DeclarativeSlotPoolService.internalReleaseTaskManager(DeclarativeSlotPoolService.java:249)
at 
org.apache.flink.runtime.jobmaster.slotpool.DeclarativeSlotPoolService.releaseTaskManager(DeclarativeSlotPoolService.java:230)
at 
org.apache.flink.runtime.jobmaster.JobMaster.disconnectTaskManager(JobMaster.java:497)
at sun.reflect.GeneratedMethodAccessor591.invoke(Unknown Source)
at 
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at 
org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcInvocation(AkkaRpcActor.java:305)
at 
org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:212)
at 
org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:77)
at 
org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:158)
at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:26)
at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:21)
at scala.PartialFunction.applyOrElse(PartialFunction.scala:123)
at scala.PartialFunction.applyOrElse$(PartialFunction.scala:122)
at akka.japi.pf.UnitCaseStatement.applyOrElse(CaseStatements.scala:21)
at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:171)
at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172)
at scala.PartialFunction$OrElse.applyOrElse(PartialFunction.scala:172)
at akka.actor.Actor.aroundReceive(Actor.scala:517)
at akka.actor.Actor.aroundReceive$(Actor.scala:515)
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: org.apache.flink.util.FlinkException: TaskExecutor 
akka.tcp://flink@10.100.1.127:6122/user/rpc/taskmanager_0 has no more allocated 
slots for job 4e6bdfa51b6a7fd61d595db0177bc6e8.
at 
org.apache.flink.runtime.taskexecutor.TaskExecutor.closeJobManagerConnectionIfNoAllocatedResources(TaskExecutor.java:1941)
at 
org.apache.flink.runtime.taskexecutor.TaskExecutor.freeSlotInternal(TaskExecutor.java:1922)
at 
org.apache.flink.runtime.taskexecutor.TaskExecutor.timeoutSlot(TaskExecutor.java:1955)
at 
org.apache.flink.runtime.taskexecutor.TaskExecutor.access$3000(TaskExecutor.java:181)
at 
org.apache.flink.runtime.taskexecutor.TaskExecutor$SlotActionsImpl.lambda$timeoutSlot$1(TaskExecutor.java:2313)
at 
org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRunAsync(AkkaRpcActor.java:440)
at 
org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:208)
... 21 more
Job 内容是从 kafka 读取数据写入到 es,中间还有一些简单操作,任务图上就两个子任务,并行度在前端提交任务的地方设置。启动后可以在 
Taskmanager 处看到一共 6 个 slot 空闲一个,但很快就 Failed 然后全部释放掉。

Best,
pan junxun
On Apr 28 2022, at 7:54 pm, huweihua <huweihua....@gmail.com> wrote:
> Hi, Junxun
>
> 按照你的说法前半部分是符合预期的,并行度为 5 的作业需要 2 个 slot 数量为 3 的 TaskManager。
> 这里没看到具体的报错日志,方便提供下完成日志吗?以及对应的 flink 版本信息。
>
> > 2022年4月28日 下午5:28,Pan Junxun <i2013...@163.com> 写道:
> >
> > 您好,
> >
> > 我最近在尝试使用 native kubernetes 方式部署 flink 集群。我根据官方文档使用 session 
> > 模式部署了一个集群,并在上面提交了一个并行度为 5 的测试 Job,参数设置了 
> > -D-Dtaskmanager.numberOfTaskSlots=3。提交后可以在前端看到创建了两个 slot 数量为 3 的 
> > Taskmanager,并且其中有一个 Taskmanager 显示 1 slot free。但是 Job 无法正常启动,得到了
> >
> > has no more allocated slots for job
>

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