繁体   English   中英

如何以纱线客户端模式编程提交Spark应用程序?

[英]How to programatically submit a spark application in yarn-client mode?

我有一个简单的spark作业,它在给定的输入文件中用逗号替换空格。

当在本地提交此作业(使用IDE并执行生成的jar)时,它将成功完成,并且当主服务器设置为“ yarn-client”时,该作业将挂起很长时间,并引发以下异常。

我们有一个用例,我们希望以编程方式提交作业,而不是构建jar并通过spark-submit提交。

Spark版本:1.6.1 Hadoop版本:2.7.1

而且我在pom中得到了所有的火花,毛线和Hadoop依赖项。

由于以下异常,作业失败

java.net.ConnectException: Call From spark.node123.com/192.168.2.1 to 0.0.0.0:8032 failed on connection exception: java.net.ConnectException: Connection refused; For more details see:  http://wiki.apache.org/hadoop/ConnectionRefused
    at sun.reflect.GeneratedConstructorAccessor13.newInstance(Unknown Source)
    at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
    at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
    at org.apache.hadoop.net.NetUtils.wrapWithMessage(NetUtils.java:792)
    at org.apache.hadoop.net.NetUtils.wrapException(NetUtils.java:732)
    at org.apache.hadoop.ipc.Client.call(Client.java:1480)
    at org.apache.hadoop.ipc.Client.call(Client.java:1407)
    at org.apache.hadoop.ipc.ProtobufRpcEngine$Invoker.invoke(ProtobufRpcEngine.java:229)
    at com.sun.proxy.$Proxy10.getClusterMetrics(Unknown Source)
    at org.apache.hadoop.yarn.api.impl.pb.client.ApplicationClientProtocolPBClientImpl.getClusterMetrics(ApplicationClientProtocolPBClientImpl.java:152)
    at sun.reflect.GeneratedMethodAccessor6.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:187)
    at org.apache.hadoop.io.retry.RetryInvocationHandler.invoke(RetryInvocationHandler.java:102)
    at com.sun.proxy.$Proxy11.getClusterMetrics(Unknown Source)
    at org.apache.hadoop.yarn.client.api.impl.YarnClientImpl.getYarnClusterMetrics(YarnClientImpl.java:246)
    at org.apache.spark.deploy.yarn.Client$$anonfun$submitApplication$1.apply(Client.scala:129)
    at org.apache.spark.deploy.yarn.Client$$anonfun$submitApplication$1.apply(Client.scala:129)
    at org.apache.spark.Logging$class.logInfo(Logging.scala:58)
    at org.apache.spark.deploy.yarn.Client.logInfo(Client.scala:62)
    at org.apache.spark.deploy.yarn.Client.submitApplication(Client.scala:128)
    at org.apache.spark.scheduler.cluster.YarnClientSchedulerBackend.start(YarnClientSchedulerBackend.scala:57)
    at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:144)
    at org.apache.spark.SparkContext.<init>(SparkContext.scala:530)
    at tardis.platform.TardisContext$.apply(TardisContext.scala:20)
    at tardis.common.plugins.Heartbeat.isAbleTocreateContext(Heartbeat.scala:45)
    at tardis.common.plugins.Heartbeat.performAction(Heartbeat.scala:33)
    at tardis.core.scheduler.jobs.PluginExecutorJob.execute(PluginExecutorJob.scala:40)
    at org.quartz.core.JobRunShell.run(JobRunShell.java:202)
    at org.quartz.simpl.SimpleThreadPool$WorkerThread.run(SimpleThreadPool.java:573)
Caused by: java.net.ConnectException: Connection refused
    at sun.nio.ch.SocketChannelImpl.checkConnect(Native Method)
    at sun.nio.ch.SocketChannelImpl.finishConnect(SocketChannelImpl.java:717)
    at org.apache.hadoop.net.SocketIOWithTimeout.connect(SocketIOWithTimeout.java:206)
    at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:531)
    at org.apache.hadoop.net.NetUtils.connect(NetUtils.java:495)
    at org.apache.hadoop.ipc.Client$Connection.setupConnection(Client.java:609)
    at org.apache.hadoop.ipc.Client$Connection.setupIOstreams(Client.java:707)
    at org.apache.hadoop.ipc.Client$Connection.access$2800(Client.java:370)
    at org.apache.hadoop.ipc.Client.getConnection(Client.java:1529)
    at org.apache.hadoop.ipc.Client.call(Client.java:1446)
    ... 25 more 

我必须添加hadoop和yarn配置,才能在yarn-client模式下成功提交应用程序。

由于计算机必须运行需要大量连接的驱动程序本身,因此无法在客户端模式下远程提交Spark作业。 如果您坚持使用此方法,则必须配置防火墙以允许某些端口连接到群集。 使用群集模式或从主节点提交它的痛苦要小得多。

暂无
暂无

声明:本站的技术帖子网页,遵循CC BY-SA 4.0协议,如果您需要转载,请注明本站网址或者原文地址。任何问题请咨询:yoyou2525@163.com.

 
粤ICP备18138465号  © 2020-2024 STACKOOM.COM