Apache spark 火花无限连接上的蜂巢

我正在尝试对只有10行的列运行简单查询：

select MAX(Column3) from table;

但是，spark应用程序无限运行，并显示以下消息：

> 2017-05-10T16:23:40,397 DEBUG [IPC Parameter Sending Thread #0]
> ipc.Client: IPC Client (1360312263) connection to /0.0.0.0:8032 from
> ubuntu sending #1841 2017-05-10T16:23:40,397 DEBUG [IPC Client
> (1360312263) connection to /0.0.0.0:8032 from ubuntu] ipc.Client: IPC
> Client (1360312263) connection to /0.0.0.0:8032 from ubuntu got value
> #1841 2017-05-10T16:23:40,397 DEBUG [main] ipc.ProtobufRpcEngine: Call: getApplicationReport took 0ms 2017-05-10T16:23:41,397 DEBUG
> [main] security.UserGroupInformation: PrivilegedAction as:ubuntu
> (auth:SIMPLE)
> from:org.apache.hadoop.mapreduce.Job.updateStatus(Job.java:323)
> 2017-05-10T16:23:41,398 DEBUG [IPC Parameter Sending Thread #0]
> ipc.Client: IPC Client (1360312263) connection to /0.0.0.0:8032 from
> ubuntu sending #1842 2017-05-10T16:23:41,398 DEBUG [IPC Client
> (1360312263) connection to /0.0.0.0:8032 from ubuntu] ipc.Client: IPC
> Client (1360312263) connection to /0.0.0.0:8032 from ubuntu got value
> #1842 2017-05-10T16:23:41,398 DEBUG [main] ipc.ProtobufRpcEngine: Call: getApplicationReport took 1ms 2017-05-10T16:23:41,399 DEBUG
> [main] security.UserGroupInformation: PrivilegedAction as:ubuntu
> (auth:SIMPLE)
> from:org.apache.hadoop.mapreduce.Job.updateStatus(Job.java:323)
> 2017-05-10T16:23:41,399 DEBUG [IPC Parameter Sending Thread #0]
> ipc.Client: IPC Client (1360312263) connection to /0.0.0.0:8032 from
> ubuntu sending #1843 2017-05-10T16:23:41,399 DEBUG [IPC Client
> (1360312263) connection to /0.0.0.0:8032 from ubuntu] ipc.Client: IPC
> Client (1360312263) connection to /0.0.0.0:8032 from ubuntu got value
> #1843 2017-05-10T16:23:41,399 DEBUG [main] ipc.ProtobufRpcEngine: Call: getApplicationReport took 0ms

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该问题与不正常节点有关，因此无法分配任务。解决方案是提高warn-site.xml中的纱线最大磁盘利用率，因为我的磁盘使用率为97%：

<property>
        <name>yarn.nodemanager.disk-health-checker.max-disk-utilization-per-disk-percentage</name>
        <value>99</value>
</property>

纱线.nodemanager.disk-health-checker.max-disk-utilization-per-disk-percentage
99