Spark流作业在被驱动程序阻止后失败

Question

我有一个spark流媒体工作，它从Kafka读取数据并对其执行一些操作。我正在一个纱线集群Spark 1.4.1上运行该作业，该集群有两个节点，每个节点有16 GB RAM，每个节点有16芯。

我已将这些conf传递给spark提交作业：

--主纱线簇--num executors 3--驱动器内存4g--executor内存2g--executor cores 3

作业返回此错误并在运行一段时间后完成：

INFO yarn.ApplicationMaster: Final app status: FAILED, exitCode: 11,
(reason: Max number of executor failures reached)

.....

ERROR scheduler.ReceiverTracker: Deregistered receiver for stream 0:
Stopped by driver

更新日期：

也发现了这些日志：

INFO yarn.YarnAllocator: Received 3 containers from YARN, launching executors on 3 of them.....

INFO yarn.ApplicationMaster$AMEndpoint: Driver terminated or disconnected! Shutting down.

....

INFO yarn.YarnAllocator: Received 2 containers from YARN, launching executors on 2 of them.

INFO yarn.ExecutorRunnable: Starting Executor Container.....

INFO yarn.ApplicationMaster$AMEndpoint: Driver terminated or disconnected! Shutting down...

INFO yarn.YarnAllocator: Completed container container_e10_1453801197604_0104_01_000006 (state: COMPLETE, exit status: 1)

INFO yarn.YarnAllocator: Container marked as failed: container_e10_1453801197604_0104_01_000006. Exit status: 1. Diagnostics: Exception from container-launch.
Container id: container_e10_1453801197604_0104_01_000006
Exit code: 1
Stack trace: ExitCodeException exitCode=1: 
    at org.apache.hadoop.util.Shell.runCommand(Shell.java:576)
    at org.apache.hadoop.util.Shell.run(Shell.java:487)
    at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:753)
    at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:211)
    at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:302)
    at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:82)
    at java.util.concurrent.FutureTask.run(FutureTask.java:266)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617)
    at java.lang.Thread.run(Thread.java:745)

Container exited with a non-zero exit code 1

这可能是什么原因？感谢您的帮助。

谢谢

Answer 1

我也有同样的问题。我找到了一个解决方案，通过删除sparkContext来解决这个问题。stop（）在主功能的末尾，将停止操作留给GC。

Spark团队已经解决了Spark core中的问题，然而，到目前为止，修复只是主要分支。我们需要等待修复程序更新到新版本中。

https://issues.apache.org/jira/browse/SPARK-12009

Answer 2

您能展示一下您从kafka读取的scala/java代码吗？我怀疑您可能没有正确创建SparkConf。

尝试一些像

SparkConf sparkConf = new SparkConf().setAppName("ApplicationName");

还可以尝试在纱线客户端模式下运行应用程序并共享输出。