flink allowlateness_flink流式处理的原理

flink allowlateness_flink流式处理的原理启动start-scala-shell.shlocal实验一:valtext=benv.fromElements(“Tobe,ornottobe,thatisthequestion:”,”Whether’ti

flink

启动

start-scala-shell.sh local

下面是benv和senv的例子[1]

flnk shell变量 用途 环境变量的作用
benv DataSet 输出到文件中
senv DataStream 打印到屏幕上

#############################################################################################

DataSet[1]

val text = benv.fromElements("To be, or not to be,--that is the question:--","Whether 'tis nobler in the mind to suffer","The slings and arrows of outrageous fortune","Or to take arms against a sea of troubles,")
val counts = text
val counts = text.flatMap { _.toLowerCase.split("\\W+") }.map { (_, 1) }.groupBy(0).sum(1)
counts.print()
counts.writeAsText("/tmp/out1")
benv.execute("batch test")

(Python3.6) appleyuchi@Desktop:~$ cd /tmp/out1
(Python3.6) appleyuchi@Desktop:out1$ ls
1  2  3  4
(Python3.6) appleyuchi@Desktop:out1$ cat 1
(and,1)
(arrows,1)
(be,2)
(is,1)
(nobler,1)
(of,2)
(Python3.6) appleyuchi@Desktop:out1$ cat 2
(a,1)
(in,1)
(mind,1)
(or,2)
(slings,1)
(suffer,1)
(Python3.6) appleyuchi@Desktop:out1$ cat 3
(against,1)
(arms,1)
(not,1)
(outrageous,1)
(sea,1)
(the,3)
(tis,1)
(troubles,1)
(whether,1)
(Python3.6) appleyuchi@Desktop:out1$ cat 4
(fortune,1)
(question,1)
(take,1)
(that,1)
(to,4)
 

#####################################################################################################

DataStream[1]

val textStreaming = senv.fromElements("To be, or not to be,--that is the question:--")
val countsStreaming = textStreaming.flatMap { _.toLowerCase.split("\\W+") }.map { (_, 1) }.keyBy(0).sum(1)
countsStreaming.print()
senv.execute("Streaming Wordcount")
(to,1)
(be,1)
(or,1)
(not,1)
(to,2)
(be,2)
(that,1)
(is,1)
(the,1)
(question,1)

注意,上面这个如果没有countsStreaming.print(),senv.execute(“Streaming Wordcount”)就无法输出结果

 

#####################################-附录-报错处理1######################################

如果出现报错:

Exception in thread “main” org.apache.flink.util.FlinkException: Could not create the DispatcherResourceManagerComponent.
单机模式显然没啥资源好分配的,肯定是没关干净。

(Python3.6) appleyuchi@Desktop:bin$ jps
10065 NodeManager
9346 DataNode
8099 Jps
9882 ResourceManager
9178 NameNode
8010 FlinkShell
5053 FlinkShell

kill -9 8010 5053

然后重启flink shell即可

#####################################-附录-报错处理2######################################

如果出现下面的报错

scala> senv.execute("My streaming program")
org.apache.flink.client.program.ProgramInvocationException: Job failed (JobID: ec2d3e37b4e2be70508f8f9da63ae13b)
  at org.apache.flink.client.deployment.ClusterClientJobClientAdapter.lambda$null$6(ClusterClientJobClientAdapter.java:112)
  at java.util.concurrent.CompletableFuture.uniApply(CompletableFuture.java:602)
  at java.util.concurrent.CompletableFuture$UniApply.tryFire(CompletableFuture.java:577)
  at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:474)
  at java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:1962)
  at org.apache.flink.client.program.rest.RestClusterClient.lambda$pollResourceAsync$21(RestClusterClient.java:565)
  at java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:760)
  at java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:736)
  at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:474)
  at java.util.concurrent.CompletableFuture.complete(CompletableFuture.java:1962)
  at org.apache.flink.runtime.concurrent.FutureUtils.lambda$retryOperationWithDelay$8(FutureUtils.java:291)
  at java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:760)
  at java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:736)
  at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:474)
  at java.util.concurrent.CompletableFuture.postFire(CompletableFuture.java:561)
  at java.util.concurrent.CompletableFuture$UniCompose.tryFire(CompletableFuture.java:929)
  at java.util.concurrent.CompletableFuture$Completion.run(CompletableFuture.java:442)
  at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
  at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
  at java.lang.Thread.run(Thread.java:748)
Caused by: org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
  at org.apache.flink.runtime.jobmaster.JobResult.toJobExecutionResult(JobResult.java:147)
  at org.apache.flink.client.deployment.ClusterClientJobClientAdapter.lambda$null$6(ClusterClientJobClientAdapter.java:110)
  ... 19 more
Caused by: org.apache.flink.runtime.JobException: Recovery is suppressed by NoRestartBackoffTimeStrategy
  at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.handleFailure(ExecutionFailureHandler.java:110)
  at org.apache.flink.runtime.executiongraph.failover.flip1.ExecutionFailureHandler.getFailureHandlingResult(ExecutionFailureHandler.java:76)
  at org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskFailure(DefaultScheduler.java:192)
  at org.apache.flink.runtime.scheduler.DefaultScheduler.maybeHandleTaskFailure(DefaultScheduler.java:186)
  at org.apache.flink.runtime.scheduler.DefaultScheduler.updateTaskExecutionStateInternal(DefaultScheduler.java:180)
  at org.apache.flink.runtime.scheduler.SchedulerBase.updateTaskExecutionState(SchedulerBase.java:496)
  at org.apache.flink.runtime.scheduler.UpdateSchedulerNgOnInternalFailuresListener.notifyTaskFailure(UpdateSchedulerNgOnInternalFailuresListener.java:49)
  at org.apache.flink.runtime.executiongraph.ExecutionGraph.notifySchedulerNgAboutInternalTaskFailure(ExecutionGraph.java:1703)
  at org.apache.flink.runtime.executiongraph.Execution.processFail(Execution.java:1252)
  at org.apache.flink.runtime.executiongraph.Execution.processFail(Execution.java:1220)
  at org.apache.flink.runtime.executiongraph.Execution.markFailed(Execution.java:1051)
  at org.apache.flink.runtime.executiongraph.ExecutionVertex.markFailed(ExecutionVertex.java:748)
  at org.apache.flink.runtime.scheduler.DefaultExecutionVertexOperations.markFailed(DefaultExecutionVertexOperations.java:41)
  at org.apache.flink.runtime.scheduler.DefaultScheduler.handleTaskDeploymentFailure(DefaultScheduler.java:446)
  at org.apache.flink.runtime.scheduler.DefaultScheduler.lambda$assignResourceOrHandleError$5(DefaultScheduler.java:433)
  at java.util.concurrent.CompletableFuture.uniHandle(CompletableFuture.java:822)
  at java.util.concurrent.CompletableFuture$UniHandle.tryFire(CompletableFuture.java:797)
  at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:474)
  at java.util.concurrent.CompletableFuture.completeExceptionally(CompletableFuture.java:1977)
  at org.apache.flink.runtime.jobmaster.slotpool.SchedulerImpl.lambda$internalAllocateSlot$0(SchedulerImpl.java:168)
  at java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:760)
  at java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:736)
  at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:474)
  at java.util.concurrent.CompletableFuture.completeExceptionally(CompletableFuture.java:1977)
  at org.apache.flink.runtime.jobmaster.slotpool.SlotSharingManager$SingleTaskSlot.release(SlotSharingManager.java:726)
  at org.apache.flink.runtime.jobmaster.slotpool.SlotSharingManager$MultiTaskSlot.release(SlotSharingManager.java:537)
  at org.apache.flink.runtime.jobmaster.slotpool.SlotSharingManager$MultiTaskSlot.lambda$new$0(SlotSharingManager.java:432)
  at java.util.concurrent.CompletableFuture.uniHandle(CompletableFuture.java:822)
  at java.util.concurrent.CompletableFuture$UniHandle.tryFire(CompletableFuture.java:797)
  at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:474)
  at java.util.concurrent.CompletableFuture.completeExceptionally(CompletableFuture.java:1977)
  at org.apache.flink.runtime.concurrent.FutureUtils.lambda$forward$21(FutureUtils.java:1065)
  at java.util.concurrent.CompletableFuture.uniWhenComplete(CompletableFuture.java:760)
  at java.util.concurrent.CompletableFuture$UniWhenComplete.tryFire(CompletableFuture.java:736)
  at java.util.concurrent.CompletableFuture.postComplete(CompletableFuture.java:474)
  at java.util.concurrent.CompletableFuture.completeExceptionally(CompletableFuture.java:1977)
  at org.apache.flink.runtime.concurrent.FutureUtils$Timeout.run(FutureUtils.java:999)
  at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRunAsync(AkkaRpcActor.java:402)
  at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:195)
  at org.apache.flink.runtime.rpc.akka.FencedAkkaRpcActor.handleRpcMessage(FencedAkkaRpcActor.java:74)
  at org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleMessage(AkkaRpcActor.java:152)
  at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:26)
  at akka.japi.pf.UnitCaseStatement.apply(CaseStatements.scala:21)
  at scala.PartialFunction$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$WorkQueue.runTask(ForkJoinPool.java:1339)
  at akka.dispatch.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
  at akka.dispatch.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
Caused by: org.apache.flink.runtime.jobmanager.scheduler.NoResourceAvailableException: Could not allocate the required slot within slot request timeout. Please make sure that the cluster has enough resources.
  at org.apache.flink.runtime.scheduler.DefaultScheduler.maybeWrapWithNoResourceAvailableException(DefaultScheduler.java:452)
  ... 45 more
Caused by: java.util.concurrent.CompletionException: java.util.concurrent.TimeoutException
  at java.util.concurrent.CompletableFuture.encodeThrowable(CompletableFuture.java:292)
  at java.util.concurrent.CompletableFuture.completeThrowable(CompletableFuture.java:308)
  at java.util.concurrent.CompletableFuture.uniApply(CompletableFuture.java:593)
  at java.util.concurrent.CompletableFuture$UniApply.tryFire(CompletableFuture.java:577)
  ... 25 more
Caused by: java.util.concurrent.TimeoutException
  ... 23 more

解决方案是:

$FLINK_HOME/conf/flink-conf.yaml修改如下:

taskmanager.numberOfTaskSlots: 2(这个一般是cpu数量)

parallelism.default: 2

目前感觉是parallelism.default≥taskmanager.numberOfTaskSlots会好些,不然容易报错。

 

Reference:

[1]Apache Flink 零基础入门(四):客户端操作的 5 种模式

今天的文章flink allowlateness_flink流式处理的原理分享到此就结束了,感谢您的阅读。

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