感谢大佬指点，我换到 1.14.4 后这个问题解决了
On Apr 28 2022, at 9:03 pm, huweihua <huweihua....@gmail.com> wrote:
> 当 SlotManager 向 TaskExecutor 为作业申请 Slot 后，TaskExecutor 会向 JobMaster offer这些
> Slots。从 TaskExecutor 接受到 SlotManager 的请求后会注册一个定时器，如果在定时器计时结束时仍然没有将 Slots
> offer 给 JobMaster，会触发这个问题。
>
> Slot timeout 的时间配置项为taskmanager.slot.timeout，如果没有单独配置，则使用 akka.ask.timeout
> 的值（默认为 10s）。
> 可以尝试增加 taskmanager.slot.timeout 超时来避免这个问题，如果仍然有问题，需要进一步通过
> JobManager/TaskManager 日志进行分析。
> > 2022年4月28日 下午8:04，Pan Junxun <i2013...@163.com> 写道：
> >
> > 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
> >>
> >
>
