一、歷史服務(wù)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.查看啟動(dòng)歷史服務(wù)器文件目錄：

[root@hadoop101 hadoop-2.7.2]# ls sbin/ |grep mr
mr-jobhistory-daemon.sh

3.啟動(dòng)歷史服務(wù)器

sbin/mr-jobhistory-daemon.sh start historyserver

4.查看歷史服務(wù)器是否啟動(dòng)

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>
<!-- 日志保留時(shí)間設(shè)置7天 -->
<property>
<name>yarn.log-aggregation.retain-seconds</name>
<value>604800</value>
</property>

2.關(guān)閉nodemanager 、resourcemanager和historymanager

sbin/yarn-daemon.sh stop resourcemanager
sbin/yarn-daemon.sh stop nodemanager
sbin/mr-jobhistory-daemon.sh stop historyserver

3.啟動(dòng)nodemanager 、resourcemanager和historymanager

sbin/yarn-daemon.sh start resourcemanager
sbin/yarn-daemon.sh start nodemanager
sbin/mr-jobhistory-daemon.sh start historyserver

4.刪除hdfs上已經(jīng)存在的hdfs文件

bin/hdfs dfs -rm -R /user/honey/mapreduce/wordcount/output

5.執(zhí)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

6.查看日志

http://192.168.1.101:19888/jobhistory