结束作业= job_local644049657_0014有错误作业期间出错,获取调试信息 [英] Ended Job = job_local644049657_0014 with errors Error during job, obtaining debugging information
问题描述
如何找到日志文件
请指导
我已经在Resouce manager 。但我没有找到任何日志文件
这是完整的错误
查询ID = hadoop_20170325120040_d54d136a-1904-4af9-8f8d-4167343db072
总计工作= 1启动Job 1 out of 1 Reduce任务的数量设置为
为0,因为没有reduce操作员Job in-process(本地
Hadoop)2017-03-25 12:00:42,954阶段0映射= 0%,reduce = 0%已终止
Job = job_local644049657_0014错误在作业期间出错,获取
调试信息.. 。
$ b $ pFAILED:执行错误,从
返回代码2 org.apache.hadoop.hive.ql.exec.mr.MapRedTask MapReduce作业启动:
Stage-Stage-0:HDFS读取:0 HDFS写入:0 FAIL Total MapReduce CPU
花费的时间:0毫秒
我将分享我的资源管理器的配置
Yarn-site.xml
<结构>
<属性>
< name> yarn.resourcemanager.address< / name>
<值> impc2362.htcitmr:8022< /值>
< / property>
<属性>
< name> yarn.resourcemanager-scheduler.address< / name>
< value> impc2362.htcitmr:8021< /值>
< / property>
< / configuration>
我是否需要添加除上述属性之外的其他属性?
请帮助
yarn logs --applicationId < application_id_of_your_job>
How to find the log file
Please guide
I have checked in the url of Resouce manager. But i didnt find any log file
This is the complete error
Query ID = hadoop_20170325120040_d54d136a-1904-4af9-8f8d-4167343db072 Total jobs = 1 Launching Job 1 out of 1 Number of reduce tasks is set to 0 since there's no reduce operator Job running in-process (local Hadoop) 2017-03-25 12:00:42,954 Stage-0 map = 0%, reduce = 0% Ended Job = job_local644049657_0014 with errors Error during job, obtaining debugging information...
FAILED: Execution Error, return code 2 from org.apache.hadoop.hive.ql.exec.mr.MapRedTask MapReduce Jobs Launched: Stage-Stage-0: HDFS Read: 0 HDFS Write: 0 FAIL Total MapReduce CPU Time Spent: 0 msec
I will share the configuration of my resource manager
Yarn-site.xml
<configuration>
<property>
<name>yarn.resourcemanager.address</name>
<value>impc2362.htcitmr:8022</value>
</property>
<property>
<name>yarn.resourcemanager-scheduler.address</name>
<value>impc2362.htcitmr:8021</value>
</property>
</configuration>
Do i need to add any other property apart from the above given properties?
Please help
yarn logs --applicationId <application_id_of_your_job>
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