flink:flink shell抛出nullpointerexception

qnakjoqk  于 2021-06-24  发布在  Flink
关注(0)|答案(1)|浏览(525)

我正在使用flink交互式shell执行wordcount。它适用于10mb的文件大小。但是对于一个100mb的文件，shell抛出了一个nullpointerexception：
:

java.lang.NullPointerException
    at org.apache.flink.api.common.accumulators.SerializedListAccumulator.deserializeList(SerializedListAccumulator.java:93)
    at org.apache.flink.api.scala.DataSet.collect(DataSet.scala:549)
    at .<init>(<console>:22)

at .<clinit>(<console>)
at .<init>(<console>:7)
at .<clinit>(<console>)
at $print(<console>)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:606)
at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:734)
at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:983)
at scala.tools.nsc.interpreter.IMain.loadAndRunReq$1(IMain.scala:573)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:604)
at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:568)
at scala.tools.nsc.interpreter.ILoop.reallyInterpret$1(ILoop.scala:760)
at scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:805)
at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:717)
at scala.tools.nsc.interpreter.ILoop.processLine$1(ILoop.scala:581)
at scala.tools.nsc.interpreter.ILoop.innerLoop$1(ILoop.scala:588)
at scala.tools.nsc.interpreter.ILoop.loop(ILoop.scala:591)
at scala.tools.nsc.interpreter.ILoop$$anonfun$interpretAllFrom$1$$anonfun$apply$mcV$sp$1$$anonfun$apply$mcV$sp$2.apply(ILoop.scala:601)
at scala.tools.nsc.interpreter.ILoop$$anonfun$interpretAllFrom$1$$anonfun$apply$mcV$sp$1$$anonfun$apply$mcV$sp$2.apply(ILoop.scala:598)
at scala.reflect.io.Streamable$Chars$class.applyReader(Streamable.scala:104)
at scala.reflect.io.File.applyReader(File.scala:82)
at scala.tools.nsc.interpreter.ILoop$$anonfun$interpretAllFrom$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(ILoop.scala:598)
at scala.tools.nsc.interpreter.ILoop$$anonfun$interpretAllFrom$1$$anonfun$apply$mcV$sp$1.apply(ILoop.scala:598)
at scala.tools.nsc.interpreter.ILoop$$anonfun$interpretAllFrom$1$$anonfun$apply$mcV$sp$1.apply(ILoop.scala:598)
at scala.tools.nsc.interpreter.ILoop.savingReplayStack(ILoop.scala:130)
at scala.tools.nsc.interpreter.ILoop$$anonfun$interpretAllFrom$1.apply(ILoop.scala:597)
at scala.tools.nsc.interpreter.ILoop$$anonfun$interpretAllFrom$1.apply(ILoop.scala:597)
at scala.tools.nsc.interpreter.ILoop.savingReader(ILoop.scala:135)
at scala.tools.nsc.interpreter.ILoop.interpretAllFrom(ILoop.scala:596)
at scala.tools.nsc.interpreter.ILoop$$anonfun$loadCommand$1.apply(ILoop.scala:660)
at scala.tools.nsc.interpreter.ILoop$$anonfun$loadCommand$1.apply(ILoop.scala:659)
at scala.tools.nsc.interpreter.ILoop.withFile(ILoop.scala:653)
at scala.tools.nsc.interpreter.ILoop.loadCommand(ILoop.scala:659)
at scala.tools.nsc.interpreter.ILoop$$anonfun$standardCommands$7.apply(ILoop.scala:262)
at scala.tools.nsc.interpreter.ILoop$$anonfun$standardCommands$7.apply(ILoop.scala:262)
at scala.tools.nsc.interpreter.LoopCommands$LineCmd.apply(LoopCommands.scala:81)
at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:712)
at scala.tools.nsc.interpreter.ILoop.processLine$1(ILoop.scala:581)
at scala.tools.nsc.interpreter.ILoop.innerLoop$1(ILoop.scala:588)
at scala.tools.nsc.interpreter.ILoop.loop(ILoop.scala:591)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:882)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:837)
at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:837)
at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:837)
at org.apache.flink.api.scala.FlinkShell$.startShell(FlinkShell.scala:84)
at org.apache.flink.api.scala.FlinkShell$.main(FlinkShell.scala:54)
at org.apache.flink.api.scala.FlinkShell.main(FlinkShell.scala)

我在linux系统（16mbram）上工作。有什么问题吗？
我的代码（改编自https://ci.apache.org/projects/flink/flink-docs-release-0.9/quickstart/scala_api_quickstart.html) :

var filename = new String(<myFileName>)
 var text = env.readTextFile(filename)
 var counts = text.flatMap { _.toLowerCase.split("\\W+") }.map { (_, 1)   }.groupBy(0).sum(1)
 var result = counts.collect()

我还注意到，flink只在一个内核上执行程序。在使用env.getconfig.setparallelism（4）设置并行性并再次运行程序后，发生了另一个异常：
第1部分：

org.apache.flink.client.program.ProgramInvocationException: The program execution failed: Job execution failed.
    at org.apache.flink.client.program.Client.run(Client.java:413)
    at org.apache.flink.client.program.Client.run(Client.java:356)
    at org.apache.flink.client.program.Client.run(Client.java:349)
    at org.apache.flink.client.RemoteExecutor.executePlanWithJars(RemoteExecutor.java:89)
    at org.apache.flink.client.RemoteExecutor.executePlan(RemoteExecutor.java:82)
    at org.apache.flink.api.java.ScalaShellRemoteEnvironment.execute(ScalaShellRemoteEnvironment.java:68)
    at org.apache.flink.api.java.ExecutionEnvironment.execute(ExecutionEnvironment.java:789)
    at org.apache.flink.api.scala.ExecutionEnvironment.execute(ExecutionEnvironment.scala:576)
    at org.apache.flink.api.scala.DataSet.collect(DataSet.scala:544)
    at .<init>(<console>:28)
    at .<clinit>(<console>)
    at .<init>(<console>:7)
    at .<clinit>(<console>)
    at $print(<console>)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:606)
    at scala.tools.nsc.interpreter.IMain$ReadEvalPrint.call(IMain.scala:734)
    at scala.tools.nsc.interpreter.IMain$Request.loadAndRun(IMain.scala:983)
    at scala.tools.nsc.interpreter.IMain.loadAndRunReq$1(IMain.scala:573)
    at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:604)
    at scala.tools.nsc.interpreter.IMain.interpret(IMain.scala:568)
    at scala.tools.nsc.interpreter.ILoop.reallyInterpret$1(ILoop.scala:760)
    at scala.tools.nsc.interpreter.ILoop.interpretStartingWith(ILoop.scala:805)
    at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:717)
    at scala.tools.nsc.interpreter.ILoop.processLine$1(ILoop.scala:581)
    at scala.tools.nsc.interpreter.ILoop.innerLoop$1(ILoop.scala:588)
    at scala.tools.nsc.interpreter.ILoop.loop(ILoop.scala:591)
    at scala.tools.nsc.interpreter.ILoop$$anonfun$interpretAllFrom$1$$anonfun$apply$mcV$sp$1$$anonfun$apply$mcV$sp$2.apply(ILoop.scala:601)
    at scala.tools.nsc.interpreter.ILoop$$anonfun$interpretAllFrom$1$$anonfun$apply$mcV$sp$1$$anonfun$apply$mcV$sp$2.apply(ILoop.scala:598)
    at scala.reflect.io.Streamable$Chars$class.applyReader(Streamable.scala:104)
    at scala.reflect.io.File.applyReader(File.scala:82)
    at scala.tools.nsc.interpreter.ILoop$$anonfun$interpretAllFrom$1$$anonfun$apply$mcV$sp$1.apply$mcV$sp(ILoop.scala:598)
    at scala.tools.nsc.interpreter.ILoop$$anonfun$interpretAllFrom$1$$anonfun$apply$mcV$sp$1.apply(ILoop.scala:598)
    at scala.tools.nsc.interpreter.ILoop$$anonfun$interpretAllFrom$1$$anonfun$apply$mcV$sp$1.apply(ILoop.scala:598)
    at scala.tools.nsc.interpreter.ILoop.savingReplayStack(ILoop.scala:130)
    at scala.tools.nsc.interpreter.ILoop$$anonfun$interpretAllFrom$1.apply(ILoop.scala:597)
    at scala.tools.nsc.interpreter.ILoop$$anonfun$interpretAllFrom$1.apply(ILoop.scala:597)
    at scala.tools.nsc.interpreter.ILoop.savingReader(ILoop.scala:135)
    at scala.tools.nsc.interpreter.ILoop.interpretAllFrom(ILoop.scala:596)
    at scala.tools.nsc.interpreter.ILoop$$anonfun$loadCommand$1.apply(ILoop.scala:660)
    at scala.tools.nsc.interpreter.ILoop$$anonfun$loadCommand$1.apply(ILoop.scala:659)
    at scala.tools.nsc.interpreter.ILoop.withFile(ILoop.scala:653)
    at scala.tools.nsc.interpreter.ILoop.loadCommand(ILoop.scala:659)
    at scala.tools.nsc.interpreter.ILoop$$anonfun$standardCommands$7.apply(ILoop.scala:262)
    at scala.tools.nsc.interpreter.ILoop$$anonfun$standardCommands$7.apply(ILoop.scala:262)
    at scala.tools.nsc.interpreter.LoopCommands$LineCmd.apply(LoopCommands.scala:81)
    at scala.tools.nsc.interpreter.ILoop.command(ILoop.scala:712)
    at scala.tools.nsc.interpreter.ILoop.processLine$1(ILoop.scala:581)
    at scala.tools.nsc.interpreter.ILoop.innerLoop$1(ILoop.scala:588)
    at scala.tools.nsc.interpreter.ILoop.loop(ILoop.scala:591)
    at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply$mcZ$sp(ILoop.scala:882)
    at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:837)
    at scala.tools.nsc.interpreter.ILoop$$anonfun$process$1.apply(ILoop.scala:837)
    at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
    at scala.tools.nsc.interpreter.ILoop.process(ILoop.scala:837)
    at org.apache.flink.api.scala.FlinkShell$.startShell(FlinkShell.scala:84)
    at org.apache.flink.api.scala.FlinkShell$.main(FlinkShell.scala:54)
    at org.apache.flink.api.scala.FlinkShell.main(FlinkShell.scala)

第2部分：

Caused by: org.apache.flink.runtime.client.JobExecutionException: Job execution failed.
    at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$receiveWithLogMessages$1.applyOrElse(JobManager.scala:314)
    at scala.runtime.AbstractPartialFunction$mcVL$sp.apply$mcVL$sp(AbstractPartialFunction.scala:33)
    at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:33)
    at scala.runtime.AbstractPartialFunction$mcVL$sp.apply(AbstractPartialFunction.scala:25)
    at org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:43)
    at org.apache.flink.runtime.ActorLogMessages$$anon$1.apply(ActorLogMessages.scala:29)
    at scala.PartialFunction$class.applyOrElse(PartialFunction.scala:118)
    at org.apache.flink.runtime.ActorLogMessages$$anon$1.applyOrElse(ActorLogMessages.scala:29)
    at akka.actor.Actor$class.aroundReceive(Actor.scala:465)
    at org.apache.flink.runtime.jobmanager.JobManager.aroundReceive(JobManager.scala:92)
    at akka.actor.ActorCell.receiveMessage(ActorCell.scala:516)
    at akka.actor.ActorCell.invoke(ActorCell.scala:487)
    at akka.dispatch.Mailbox.processMailbox(Mailbox.scala:254)
    at akka.dispatch.Mailbox.run(Mailbox.scala:221)
    at akka.dispatch.Mailbox.exec(Mailbox.scala:231)
    at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
    at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
    at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
    at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
Caused by: org.apache.flink.runtime.jobmanager.scheduler.NoResourceAvailableException: Not enough free slots available to run the job. You can decrease the operator parallelism or increase the number of slots per TaskManager in the configuration. Task to schedule: < Attempt #0 (CHAIN DataSource (at .<init>(<console>:26) (org.apache.flink.api.java.io.TextInputFormat)) -> FlatMap (FlatMap at .<init>(<console>:27)) -> Map (Map at .<init>(<console>:27)) -> Combine(SUM(1)) (2/4)) @ (unassigned) - [SCHEDULED] > with groupID < fc507fbb50fea681c726ca1d824c7577 > in sharing group < SlotSharingGroup [fc507fbb50fea681c726ca1d824c7577, fb90f780c9d5a4a9dbf983cb06bec946, 52b8abe5a21ed808f0473a599d89f046] >. Resources available to scheduler: Number of instances=1, total number of slots=1, available slots=0
    at org.apache.flink.runtime.jobmanager.scheduler.Scheduler.scheduleTask(Scheduler.java:250)
    at org.apache.flink.runtime.jobmanager.scheduler.Scheduler.scheduleImmediately(Scheduler.java:126)
    at org.apache.flink.runtime.executiongraph.Execution.scheduleForExecution(Execution.java:271)
    at org.apache.flink.runtime.executiongraph.ExecutionVertex.scheduleForExecution(ExecutionVertex.java:430)
    at org.apache.flink.runtime.executiongraph.ExecutionJobVertex.scheduleAll(ExecutionJobVertex.java:307)
    at org.apache.flink.runtime.executiongraph.ExecutionGraph.scheduleForExecution(ExecutionGraph.java:508)
    at org.apache.flink.runtime.jobmanager.JobManager.org$apache$flink$runtime$jobmanager$JobManager$$submitJob(JobManager.scala:606)
    at org.apache.flink.runtime.jobmanager.JobManager$$anonfun$receiveWithLogMessages$1.applyOrElse(JobManager.scala:190)
    ... 18 more

这是指taskmanager.numberoftaskslots吗？在我的flink-conf.yaml中，这个键设置为4。但我怎么能把它放在壳里呢？

apache-flink

1条答案

按热度按时间
sshcrbum

sshcrbum1#

你问了两个问题：
为什么会这样 print() 不是为大公司工作 DataSet 什么？
当你使用 count() , collect() ，或 print() 在 DataSet ，所有已在任务管理器上分区的数据都必须通过作业管理器传输到客户端。最好只使用这些方法进行测试，或者将小的数据具体化 DataSet s。对于大数据，请使用apache flink中提供的一个接收器，例如。 writeAsTextFile(..) . 对于每个并行任务，将创建一个输出文件。
如果您仍然希望将所有数据传输到客户端，可以通过增加akka的帧大小来实现。akka是flink在引擎盖下使用的一个消息传递库。为此，设置 akka.framesize 在 flink-conf.yaml . 默认值为10485760字节（10 mb）。 akka.framesize: 100mb 将增加到100MB。
对于ApacheFlink1.0，一些提交者已经考虑删除这个限制，并且已经有一个pull请求为大型物化数据集使用另一种传输方式。
什么是任务槽，它们与并行性有什么关系？
flink的默认配置为每个任务管理器启动一个任务槽。在本地模式下启动scala shell时，它只启动一个任务管理器。因此，任务槽的总数是一个。当您将平行度更改为 N ，你至少需要 N 并行执行此操作的任务槽。所以要么增加 flink-conf.yaml 或者启动其他任务管理器。如果您只是在本地运行，我建议您只需增加任务槽的数量。有关更多信息，请参阅上的flink文档http://flink.apache.org.
编辑：如果您运行scala shell，那么嵌入式flink集群将只启动一个任务管理器。可以使用启动本地群集 ./bin/start-local.sh 然后使用scalashell的host和port参数（host:localhost，port:6123）连接到它。

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