hive遇到的问题：The ownership on the staging directory /tmp/hadoop-yarnis not as expectedThe directory mus-优快云博客

本文链接：https://blog.youkuaiyun.com/zhangzc12409/article/details/79187617

本文记录了一次在使用Hive过程中遇到的权限问题及其解决过程。主要问题是当使用root用户执行Hive查询时，因目录所有者为hadoop而导致权限不足。通过调整目录所有者和权限，最终成功执行了查询。

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搭建好了hive，由于切换到hadoop无法进入hive，权限不足，于是切换到root，执行：

hive history file=/tmp/hadoop/hive_job_log_hadoop_201407010908_503942368.txt

hive>

hive>select count(*) from test;

后出现：

java.io.IOException: The ownership on the staging directory /tmp/hadoop-yarn/staging/root/.staging is not as expected. It is owned by hive. The directory must be owned by the submitter root or by root
	at org.apache.hadoop.mapreduce.JobSubmissionFiles.getStagingDir(JobSubmissionFiles.java:120)
	at org.apache.hadoop.mapreduce.JobSubmitter.submitJobInternal(JobSubmitter.java:146)
	at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1341)
	at org.apache.hadoop.mapreduce.Job$11.run(Job.java:1338)
	at java.security.AccessController.doPrivileged(Native Method)
	at javax.security.auth.Subject.doAs(Subject.java:421)

如上省略了一些，这问题提示是需要root权限，退出hive，执行：

hadoop fs -chown -R root:root /tmp

然而并未修改成功：

chmod: changing permissions of '/tmp/hadoop-yarn': Permission denied: user=root, access=EXECUTE, inode="/tmp":hive:hive:drwxrwx--

切换成hadoop用户，执行上面的修改权限指令，成功！原因。。。。是因为root没有权限修改hadoop？因为我的所有权是hadoop的，这问题待解答。。

上面命令修改后：结果如下：

hive> SELECT COUNT(*) FROM test;
Query ID = root_20180128162626_f875d94a-9ada-47c0-8af8-b9b37271c64a
Total jobs = 1
Launching Job 1 out of 1
Number of reduce tasks determined at compile time: 1
In order to change the average load for a reducer (in bytes):
  set hive.exec.reducers.bytes.per.reducer=<number>
In order to limit the maximum number of reducers:
  set hive.exec.reducers.max=<number>
In order to set a constant number of reducers:
  set mapreduce.job.reduces=<number>
Starting Job = job_1517036563281_0005, Tracking URL = http://master:8088/proxy/application_1517036563281_0005/
Kill Command = /usr/local/hadoop/bin/hadoop job  -kill job_1517036563281_0005
Hadoop job information for Stage-1: number of mappers: 1; number of reducers: 1
2018-01-28 16:26:58,698 Stage-1 map = 0%,  reduce = 0%
2018-01-28 16:27:06,402 Stage-1 map = 100%,  reduce = 0%, Cumulative CPU 1.32 sec
2018-01-28 16:27:13,780 Stage-1 map = 100%,  reduce = 100%, Cumulative CPU 2.05 sec
MapReduce Total cumulative CPU time: 2 seconds 50 msec
Ended Job = job_1517036563281_0005
MapReduce Jobs Launched: 
Stage-Stage-1: Map: 1  Reduce: 1   Cumulative CPU: 2.05 sec   HDFS Read: 6436 HDFS Write: 2 SUCCESS
Total MapReduce CPU Time Spent: 2 seconds 50 msec
OK
0
Time taken: 33.905 seconds, Fetched: 1 row(s)