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Posted to user-zh@flink.apache.org by Pan Junxun <i2...@163.com> on 2022/04/28 09:28:27 UTC
Flink native kubernetes 下没有足够的 slot 问题
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
Re: Flink native kubernetes 下没有足够的 slot 问题
Posted by Pan Junxun <i2...@163.com>.
忘记说了，Flink 版本是 1.13.1
On Apr 28 2022, at 8:04 pm, Pan Junxun <i2...@163.com> wrote:
> 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 <hu...@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 <i2...@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
> >
>
Re: Flink native kubernetes 下没有足够的 slot 问题
Posted by Pan Junxun <i2...@163.com>.
最后的解决方案是在 kubernetes-session.sh 启动参数中增加：
-Dakka.ask.timeout=100s -Dweb.timeout=1000000
或者直接修改 configmap 中的 flink-conf.yml
经过多次测试，该问题的根源应该是 slot 太多导致初始的 10000ms timeout 不够用，但 1.13 增加参数后仍会出现异常，1.14 则没有问题。
再次感谢 huweihua
On Apr 29 2022, at 9:49 am, Pan Junxun <i2...@163.com> wrote:
> 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 <hu...@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 <i2...@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 <hu...@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 <i2...@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
> > >>
> > >
> >
>
Re: Flink native kubernetes 下没有足够的 slot 问题
Posted by Pan Junxun <i2...@163.com>.
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 <hu...@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 <i2...@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 <hu...@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 <i2...@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
> >>
> >
>
Re: Flink native kubernetes 下没有足够的 slot 问题
Posted by huweihua <hu...@gmail.com>.
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 <i2...@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 <hu...@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 <i2...@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
>>
>
Re: Flink native kubernetes 下没有足够的 slot 问题
Posted by Pan Junxun <i2...@163.com>.
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 <hu...@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 <i2...@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
>
Re: Flink native kubernetes 下没有足够的 slot 问题
Posted by huweihua <hu...@gmail.com>.
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 <i2...@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
Re: Flink native kubernetes 下没有足够的 slot 问题
Posted by Pan Junxun <i2...@163.com>.
万分抱歉！邮件客户端误触发送出去了。。。
请问为什么 slot 总数充足的情况下会出现 slot 不足的异常？如何在 native kubernetes 下正确启动一个多并行度任务？
感谢大家抽空看我的邮件！
Best,
潘
On Apr 28 2022, at 5:28 pm, Pan Junxun <i2...@163.com> wrote:
> 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