yarn的搭建

叢集規劃

配置

1. 修改配置檔案mapred-sitex.xml

<property>
	<name>mapreduce.framework.name</name>
	<value>yarn</value>
</property>
<-- 跨平臺配置 -->
 <property>
	<name>mapreduce.app-submission.cross-platform</name>
	<value>true</value>
</property
 
>

2. 修改配置檔案yarn-site.xml

 <property>
	<name>yarn.nodemanager.aux-services</name>
	<value>mapreduce_shuffle</value>
</property>
<property>
	<name>yarn.resourcemanager.ha.enabled</name>
	<value>true</value>
 </property>
 <property
 
>
	<name>yarn.resourcemanager.cluster-id</name>
	<value>cluster1</value>
 </property>
 <property>
	<name>yarn.resourcemanager.ha.rm-ids</name>
	<value>rm1,rm2</value>
 </property>
 <property>
	<name>yarn.resourcemanager.hostname.rm1</
 
name>
	<value>node01</value>
 </property>
 <property>
	<name>yarn.resourcemanager.hostname.rm2</name>
	<value>node02</value>
 </property>
 <property>
	<name>yarn.resourcemanager.zk-address</name>
	<value>node02:2181,node03:2181,node04:2181</value>
 </property>

3. 將配置好資訊分發到所有節點
4. 在node02 node03 node04上啟動zookeeper

./zkServer.sh start

5. node01上啟動hdfs和yarn叢集

start-dfs.sh

start-yarn.sh

6. 在node02上單獨啟動一個備用ResourceManager （node01上已自動啟動一個active的RM)

yarn-daemon.sh start resourcemanager

7. 從8088埠檢視管理頁面

測試案例

wordcount

使用MapReduce提供的測試用例wordcount

1. 到mapreduce的jar包目錄下

cd $HADOOP_HOME/share/hadoop/mapreduce

2. 執行測試用例

hadoop jar hadoop-mapreduce-examples-2.6.5.jar wordcount  /input  /output

• input:是hdfs檔案系統中資料所在的目錄
• ouput:是hdfs中不存在的目錄，程式執行的結果會輸出到該目錄，若目錄存在會報錯

3. 檢視執行結果

hdfs dfs -cat /output/*