问题在Yarn Cluster上运行Spark Job

Question

我想在Hadoop YARN集群模式下运行我的spark Job，我使用以下命令：

spark-submit --master yarn-cluster 
             --driver-memory 1g 
             --executor-memory 1g
             --executor-cores 1 
             --class com.dc.analysis.jobs.AggregationJob
               sparkanalitic.jar param1 param2 param3

我收到错误，请提出错误，命令是否正确。我正在使用CDH 5.3.1。

Diagnostics: Application application_1424284032717_0066 failed 2 times due 
to AM Container for appattempt_1424284032717_0066_000002 exited with  
exitCode: 15 due to: Exception from container-launch.

Container id: container_1424284032717_0066_02_000001
Exit code: 15
Stack trace: ExitCodeException exitCode=15: 
    at org.apache.hadoop.util.Shell.runCommand(Shell.java:538)
    at org.apache.hadoop.util.Shell.run(Shell.java:455)
    at org.apache.hadoop.util.Shell$ShellCommandExecutor.execute(Shell.java:702)
    at org.apache.hadoop.yarn.server.nodemanager.DefaultContainerExecutor.launchContainer(DefaultContainerExecutor.java:197)
    at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:299)
    at org.apache.hadoop.yarn.server.nodemanager.containermanager.launcher.ContainerLaunch.call(ContainerLaunch.java:81)
    at java.util.concurrent.FutureTask.run(FutureTask.java:262)
    at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
    at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
    at java.lang.Thread.run(Thread.java:745)  

Container exited with a non-zero exit code 15
.Failing this attempt.. Failing the application.
     ApplicationMaster host: N/A
     ApplicationMaster RPC port: -1
     queue: root.hdfs
     start time: 1424699723648
     final status: FAILED
     tracking URL: http://myhostname:8088/cluster/app/application_1424284032717_0066
     user: hdfs

2015-02-23 19:26:04 DEBUG Client - stopping client from cache: org.apache.hadoop.ipc.Client@4085f1ac
2015-02-23 19:26:04 DEBUG Utils - Shutdown hook called
2015-02-23 19:26:05 DEBUG Utils - Shutdown hook called

任何帮助将不胜感激。

Answer 1

它可能意味着很多东西，对于我们来说，由于不支持的Java类版本，我们得到类似的错误消息，我们通过删除项目中引用的Java类来解决问题。

使用此命令可以查看详细的错误消息：

yarn logs -applicationId application_1424284032717_0066

Answer 2

您应该在代码中删除“.setMaster（”local“）”。

Answer 3

该命令看起来正确。

我遇到的是“退出代码15”通常表示TableNotFound异常。这通常意味着您提交的代码中存在错误。

您可以访问跟踪网址进行检查。

Answer 4

对我来说，通过将hive-site.xml放在spark/conf目录中解决退出代码问题。

Answer 5

如果在群集下运行spark作业，请在spark配置文件中删除行"spark.master":"local[*]。

假设在本地PC上运行，包括它。

玛尼