hadoop伪分布式运行案例(三)——其他相关配置
2018-06-22 本文已影响5人
静宸丶水默含声
一、历史服务器配置
1.配置mapred-site.xml
<property>
<name>mapreduce.jobhistory.address</name>
<value>hadoop101:10020</value>
</property>
<property>
<name>mapreduce.jobhistory.webapp.address</name>
<value>hadoop101:19888</value>
</property>
2.查看启动历史服务器文件目录:
[root@hadoop101 hadoop-2.7.2]# ls sbin/ |grep mr
mr-jobhistory-daemon.sh
3.启动历史服务器
sbin/mr-jobhistory-daemon.sh start historyserver
4.查看历史服务器是否启动
jps
5.查看jobhistory
http://192.168.1.101:19888/jobhistory
二、日志聚集配置
1.配置yarn-site.xml
<!-- 日志聚集功能使能 -->
<property>
<name>yarn.log-aggregation-enable</name>
<value>true</value>
</property>
<!-- 日志保留时间设置7天 -->
<property>
<name>yarn.log-aggregation.retain-seconds</name>
<value>604800</value>
</property>
2.关闭nodemanager 、resourcemanager和historymanager
sbin/yarn-daemon.sh stop resourcemanager
sbin/yarn-daemon.sh stop nodemanager
sbin/mr-jobhistory-daemon.sh stop historyserver
3.启动nodemanager 、resourcemanager和historymanager
sbin/yarn-daemon.sh start resourcemanager
sbin/yarn-daemon.sh start nodemanager
sbin/mr-jobhistory-daemon.sh start historyserver
4.删除hdfs上已经存在的hdfs文件
bin/hdfs dfs -rm -R /user/honey/mapreduce/wordcount/output
5.执行wordcount程序
hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.7.2.jar wordcount /user/honey/mapreduce/wordcount/input /user/honey/mapreduce/wordcount/output