Hi,
从jstack 分析，因该是卡在下面这里了。看代码好像是需要遍历所有hdfs上指定path的文件。是这样的不？如果文件很多的话不是要很慢？
"flink-akka.actor.default-dispatcher-30" #103 prio=5 os_prio=0
tid=0x00007f6264001000 nid=0x4a93 in Object.wait() [0x00007f62964f1000]
java.lang.Thread.State: WAITING (on object monitor)
at java.lang.Object.wait(Native Method)
at java.lang.Object.wait(Object.java:502)
at org.apache.hadoop.util.concurrent.AsyncGet$Util.wait(AsyncGet.java:59)
at org.apache.hadoop.ipc.Client.getRpcResponse(Client.java:1533)
- locked <0x00000000ebd49e50> (a org.apache.hadoop.ipc.Client$Call)
at org.apache.hadoop.ipc.Client.call(Client.java:1491)
at org.apache.hadoop.ipc.Client.call(Client.java:1388)
at
org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:233)
at
org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:118)
at com.sun.proxy.$Proxy45.getBlockLocations(Unknown Source)
at
org.apache.hadoop.hdfs.protocolPB.ClientNamenodeProtocolTranslatorPB.getBlockLocations(ClientNamenodeProtocolTranslatorPB.java:324)
at sun.reflect.GeneratedMethodAccessor10.invoke(Unknown Source)
at
sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at
org.apache.hadoop.io.retry.RetryInvocationHandler.invokeMethod(RetryInvocationHandler.java:422)
at
org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeMethod(RetryInvocationHandler.java:165)
at
org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invoke(RetryInvocationHandler.java:157)
at
org.apache.hadoop.io.retry.RetryInvocationHandler$Call.invokeOnce(RetryInvocationHandler.java:95)
- locked <0x00000000ebd49d40> (a
org.apache.hadoop.io.retry.RetryInvocationHandler$Call)
at
org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:359)
at com.sun.proxy.$Proxy46.getBlockLocations(Unknown Source)
at
org.apache.hadoop.hdfs.DFSClient.callGetBlockLocations(DFSClient.java:864)
at org.apache.hadoop.hdfs.DFSClient.getLocatedBlocks(DFSClient.java:853)
at org.apache.hadoop.hdfs.DFSClient.getBlockLocations(DFSClient.java:910)
at
org.apache.hadoop.hdfs.DistributedFileSystem$2.doCall(DistributedFileSystem.java:267)
at
org.apache.hadoop.hdfs.DistributedFileSystem$2.doCall(DistributedFileSystem.java:264)
at
org.apache.hadoop.fs.FileSystemLinkResolver.resolve(FileSystemLinkResolver.java:81)
at
org.apache.hadoop.hdfs.DistributedFileSystem.getFileBlockLocations(DistributedFileSystem.java:274)
at
org.apache.hadoop.hdfs.DistributedFileSystem.getFileBlockLocations(DistributedFileSystem.java:248)
at
org.apache.flink.runtime.fs.hdfs.HadoopFileSystem.getFileBlockLocations(HadoopFileSystem.java:98)
at
org.apache.flink.api.common.io.FileInputFormat.createInputSplits(FileInputFormat.java:652)
at
org.apache.flink.api.common.io.FileInputFormat.createInputSplits(FileInputFormat.java:62)
at
org.apache.flink.runtime.executiongraph.ExecutionJobVertex.<init>(ExecutionJobVertex.java:258)
at
org.apache.flink.runtime.executiongraph.ExecutionGraph.attachJobGraph(ExecutionGraph.java:814)
at
org.apache.flink.runtime.executiongraph.ExecutionGraphBuilder.buildGraph(ExecutionGraphBuilder.java:228)
at
org.apache.flink.runtime.scheduler.SchedulerBase.createExecutionGraph(SchedulerBase.java:269)
at
org.apache.flink.runtime.scheduler.SchedulerBase.createAndRestoreExecutionGraph(SchedulerBase.java:242)
at
org.apache.flink.runtime.scheduler.SchedulerBase.<init>(SchedulerBase.java:229)
at
org.apache.flink.runtime.scheduler.DefaultScheduler.<init>(DefaultScheduler.java:119)
at
org.apache.flink.runtime.scheduler.DefaultSchedulerFactory.createInstance(DefaultSchedulerFactory.java:103)
at
org.apache.flink.runtime.jobmaster.JobMaster.createScheduler(JobMaster.java:284)
at org.apache.flink.runtime.jobmaster.JobMaster.<init>(JobMaster.java:272)
at
org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.createJobMasterService(DefaultJobMasterServiceFactory.java:98)
at
org.apache.flink.runtime.jobmaster.factories.DefaultJobMasterServiceFactory.createJobMasterService(DefaultJobMasterServiceFactory.java:40)
at
org.apache.flink.runtime.jobmaster.JobManagerRunnerImpl.<init>(JobManagerRunnerImpl.java:140)
at
org.apache.flink.runtime.dispatcher.DefaultJobManagerRunnerFactory.createJobManagerRunner(DefaultJobManagerRunnerFactory.java:84)
at
org.apache.flink.runtime.dispatcher.Dispatcher.lambda$createJobManagerRunner$6(Dispatcher.java:388)
at
org.apache.flink.runtime.dispatcher.Dispatcher$$Lambda$241/1691741073.get(Unknown
Source)
at
java.util.concurrent.CompletableFuture$AsyncSupply.run(CompletableFuture.java:1590)
at akka.dispatch.TaskInvocation.run(AbstractDispatcher.scala:40)
at
akka.dispatch.ForkJoinExecutorConfigurator$AkkaForkJoinTask.exec(ForkJoinExecutorConfigurator.scala:44)
at akka.dispatch.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
at
akka.dispatch.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
at akka.dispatch.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
at
akka.dispatch.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
Jingsong Li <
[hidden email]> 于2020年9月7日周一 上午11:15写道：
> Hi,
>
> 可以在JobMaster里面看一下jstack吗？看下具体卡在哪里？
>
> On Sat, Sep 5, 2020 at 11:11 PM Peihui He <
[hidden email]> wrote:
>
> > Hi, all
> >
> > 经过这几天的测试发现，当hdfs目录下的文件比较多的时候就是出现上述情况，比如我这边文件个数接近2k个。
> > 简单的测试当文件个数为1到2个的时候会很快提交job，并且flink session web 页面也没有感觉到卡着。
> >
> > 请问有什么好的解决方式没呢？
> >
> > Best Wishes.
> >
> > Peihui He <
[hidden email]> 于2020年9月4日周五 下午6:25写道：
> >
> >> Hi, all
> >>
> >> 当指定partition的时候这个问题通过path 也没法解决了
> >>
> >> CREATE TABLE MyUserTable (
> >> column_name1 INT,
> >> column_name2 STRING, dt string,) PARTITIONED BY (dt) WITH (
> >> 'connector' = 'filesystem', -- required: specify the
> connector
> >> 'path' = 'file:///path/to/whatever', -- required: path to a directory
> >> 'format' = 'json', -- required: file system
> connector)
> >>
> >>
> >> select * from MyUserTable limit 10;
> >>
> >> job 会一直卡在一个地方
> >> [image: image.png]
> >>
> >> 这种改怎么解决呢？
> >>
> >> Peihui He <
[hidden email]> 于2020年9月4日周五 下午6:02写道：
> >>
> >>> hi, all
> >>> 我这边用flink sql client 创建表的时候
> >>>
> >>> CREATE TABLE MyUserTable (
> >>> column_name1 INT,
> >>> column_name2 STRING,) PARTITIONED BY (part_name1, part_name2) WITH (
> >>> 'connector' = 'filesystem', -- required: specify the
> connector
> >>> 'path' = 'file:///path/to/whatever', -- required: path to a
> directory
> >>> 'format' = 'json', -- required: file system
> connector)
> >>>
> >>> 当path后面多一个"/"时, 比如: 'path' = 'file:///path/to/whatever/'
> >>> sql client 提交job会很慢，最后会报错
> >>>
> >>> Caused by: org.apache.flink.runtime.rest.util.RestClientException:
> >>> [Internal server error., <Exception on server side:
> >>> org.apache.flink.runtime.client.DuplicateJobSubmissionException: Job
> has
> >>> already been submitted. at
> >>>
> org.apache.flink.runtime.dispatcher.Dispatcher.submitJob(Dispatcher.java:280)
> >>> at sun.reflect.GeneratedMethodAccessor127.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:284)
> >>> at
> >>>
> org.apache.flink.runtime.rpc.akka.AkkaRpcActor.handleRpcMessage(AkkaRpcActor.java:199)
> >>> 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)
> >>> End of exception on server side>] at
> >>>
> org.apache.flink.runtime.rest.RestClient.parseResponse(RestClient.java:390)
> >>> at
> >>>
> org.apache.flink.runtime.rest.RestClient.lambda$submitRequest$3(RestClient.java:374)
> >>> at
> >>>
> java.util.concurrent.CompletableFuture.uniCompose(CompletableFuture.java:952)
> >>> at
> >>>
> java.util.concurrent.CompletableFuture$UniCompose.tryFire(CompletableFuture.java:926)
> >>>
> >>>
> >>> flink session cluster job 页面基本上都打不开，要过好久才可以。最后看到job 确实提交成功了。
> >>>
> >>> 这种情况不知道有没有遇到过？
> >>>
> >>> Best Wishes.
> >>>
> >>>
> >>>
> >>
>
> --
> Best, Jingsong Lee
>
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