Spark以yarn方式运行时抛出异常

Spark以yarn方式运行时抛出异常：

cluster.YarnClientSchedulerBackend: Yarn application has already exited with state FINISHED!

解决方案：

主要是给节点分配的内存少，yarn kill了spark application。

1.停止hadoop集群

[root@node06 bin]# stop-all.sh

2.给yarn-site.xml增加配置：

<property>

    <name>yarn.nodemanager.pmem-check-enabled</name>

    <value>false</value>

</property>

<property>

    <name>yarn.nodemanager.vmem-check-enabled</name>

    <value>false</value>

    <description>Whether virtual memory limits will be enforced for containers</description>

</property>

<property>

    <name>yarn.nodemanager.vmem-pmem-ratio</name>

    <value></value>

    <description>Ratio between virtual memory to physical memory when setting memory limits for containers</description>

</property>

3.将master上将l修改后的yarn-site.xm文件覆盖到各个slaves节点

[root@node06 hadoop]# scp yarn-site.xml node07:`pwd`

yarn-site.xml                                                                                                              %      .5KB/s   :

[root@node06 hadoop]# scp yarn-site.xml node08:`pwd`

yarn-site.xml                                                                                                              %      .5KB/s   :

[root@node06 hadoop]# scp yarn-site.xml node09:`pwd`

4.重新启动hadoop集群

[root@node06 hadoop]# start-all.sh

5.重新向yarn提交spark任务

[root@node06 bin]# ./spark-submit --master yarn --class org.apache.spark.examples.SparkPi ../lib/spark-examples-1.6.-hadoop2.6.0.jar