执行MapReduce的Jar包报错:Exception in thread main ExitCodeException exitCode=1
- 一、实验环境
- 二、报错信息
- 三、解决方法:
- 四、另外一个问题
- 五、参考资料:
一、实验环境
- CentOS7.5
- Hadoop3.1.3
- 伪分布式模式
- IDEA
二、报错信息
1.执行MapReduce的Jar包报错:Exception in thread main ExitCodeException exitCode=1 chmod 无法访问tmphadoopmapredstagingzhangsan1447658824.stagingjob_local1447658824_0001 没有那个文件或目录
文件已经确定是存在的
2.根据报错信息,推断是权限问题
,将Hadoop安装目录下的tmp目录权限改为777
# 先进入到Hadoop安装目录
chmod 777 ./tmp
但是这个方法并没有解决该报错
3.查找网上,有提到关于HDFS默认的group是超级用户组supergroup,需要更改为当前用户。相关操作见三三、解决方法
三、解决方法:
在Hadoop的Web界面可以看到group的权限是supergroup,将普通用户增加到HDFS的超级用户组supergroup
1.步骤
先切换到root用户
- 提前查看
supergroup
相关信息
[root@hadoop112 zhangsan]# group supergroup /etc/group
bash: group: 未找到命令...
- 继续过滤查找
[root@hadoop112 zhangsan]#grep supergroup /etc/group
没有输出结果
- 增加supergroup组
[root@hadoop112 zhangsan]#groupadd supergroup
- 再次过滤查找
[root@hadoop112 zhangsan]#grep supergroup /etc/group
supergroup:x:1001:
- 将当前用户增加到supergroup组
[root@hadoop112 zhangsan]# usermod -a -G supergroup zhangsan
- 查看用户是否成功添加到supergroup组
[root@hadoop112 zhangsan]# id zhangsan
uid=1000(zhangsan) gid=1000(zhangsan) 组=1000(yzhangsanoona),1001(supergroup)
- 刷新用户到组的映射信息
[root@hadoop112 zhangsan]# hdfs dfsadmin -refreshUserToGroupsMappings
Refresh user to groups mapping successful
- 切换到普通用户
[root@hadoop112 zhangsan]# su zhangsan
[root@hadoop112 zhangsan]# hdfs dfsadmin -report
Configured Capacity: 38966558720 (36.29 GB) Present Capacity: 25293688832 (23.56 GB) DFS Remaining: 25293635584 (23.56 GB) DFS Used: 53248 (52 KB) DFS Used%: 0.00% Replicated Blocks: Under replicated blocks: 0 Blocks with corrupt replicas: 0 Missing blocks: 0 Missing blocks (with replication factor 1): 0 Low redundancy blocks with highest priority to recover: 0 Pending deletion blocks: 0 Erasure Coded Block Groups: Low redundancy block groups: 0 Block groups with corrupt internal blocks: 0 Missing block groups: 0 Low redundancy blocks with highest priority to recover: 0 Pending deletion blocks: 0
Live datanodes (1):
Name: 192.168.149.112:9866 (hadoop112) Hostname: hadoop112 Decommission Status : Normal Configured Capacity: 38966558720 (36.29 GB) DFS Used: 53248 (52 KB) Non DFS Used: 11669880832 (10.87 GB) DFS Remaining: 25293635584 (23.56 GB) DFS Used%: 0.00% DFS Remaining%: 64.91% Configured Cache Capacity: 0 (0 B) Cache Used: 0 (0 B) Cache Remaining: 0 (0 B) Cache Used%: 100.00% Cache Remaining%: 0.00% Xceivers: 1 Last contact: Thu May 12 23:07:35 CST 2022 Last Block Report: Thu May 12 22:59:14 CST 2022 Num of Blocks: 2
2.遗憾点
这个方法仍然没有解决问题
四、另外一个问题
命令行执行MapReduce的Jar包,MR可以成功运行并输出正确结果,但是执行过程中自动地将IDEA关闭了。
猜想:yarn资源不够用? 但是只是测试一个简单的MR样例,应该不至于吧?
记录一下这个错误
五、参考资料:
https://cloud.tencent.com/developer/article/1545624#:~:text=Hadoop%E6%9C%AC%E8%BA%AB,S%E7%94%A8%E6%88%B7%E5%92%8C%E7%BB%84%E5%8D%B3%E5%8F%AF%E3%80%82