Hadoop 2.2.0單機版安裝

      之前對Hadoop有過一點了解，但沒有深刻，如今愈來愈感受這東西挺有意思的，打算學習下，前兩天買了兩本Hadoop相關的書，先粗略的翻了下，今天就動手先把環境搭起來。

      環境：centos6.2,jdk7_u45,hadoop2.2.0

      下載，解壓過程就不說了，直接環境配置（包括JAVA_HOME的配置，以及HADOOP_HOME的環境變量配置，都略過了）。參考文檔http://hadoop.apache.org/docs/r2.2.0/hadoop-project-dist/hadoop-common/SingleCluster.html

       1，修改hadoop-env.sh中修改JAVA_HOME

       2，修改core-site.xml配置文件

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
	<property>
  		<name>hadoop.tmp.dir</name>
  		<value>/data/hadoop/tmp</value>
	</property>
	
	<property>  
	  <name>fs.defaultFS</name>  
	  <value>hdfs://localhost:9000</value>  
	  <final>true</final>  
	</property>  
	
</configuration>

     3，修改hdfs-site.xml配置文件

<?xml version="1.0" encoding="UTF-8"?> <?xml-stylesheet type="text/xsl" href="configuration.xsl"?> <configuration> <property> <name>dfs.namenode.name.dir</name> <value>file:///data/hadoop/dfs/name</value> <final>true</final> </property> <property> <name>dfs.datanode.data.dir</name> <value>file:///data/hadoop/dfs/data</value> <final>true</final> </property> <property> <name>dfs.replication</name> <value>1</value> </property> <property> <name>dfs.permissions.enabled</name> <value>false</value> </property> </configuration> 

     4，複製mapred-site.xml.template成mapred-site.xml，修改mapred-site.xml

cp mapred-site.xml.template mapred-site.xml
vi mapred-site.xml

<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<configuration>
	<property>
	  <name>mapreduce.framework.name</name>
	  <value>yarn</value>
	</property>
	<!--
	<property>
	  <name>mapreduce.cluster.temp.dir</name>
	  <value></value>
	  <final>true</final>
	</property>

   <property>
     <name>mapreduce.cluster.local.dir</name>
     <value></value>
     <final>true</final>
   </property>
   -->
</configuration>

   5,修改yarn-site.xml配置文件

<?xml version="1.0"?>
<configuration>
	<property>
	  <name>yarn.resourcemanager.hostname</name>
	  <value>localhost</value>
	  <description>hostanem of RM</description>
	</property>


	<property>
    <name>yarn.resourcemanager.resource-tracker.address</name>
    <value>localhost:5274</value>
    <description>host is the hostname of the resource manager and 
    port is the port on which the NodeManagers contact the Resource Manager.
    </description>
  </property>

  <property>
    <name>yarn.resourcemanager.scheduler.address</name>
    <value>localhost:5273</value>
    <description>host is the hostname of the resourcemanager and port is the port
    on which the Applications in the cluster talk to the Resource Manager.
    </description>
  </property>

  <property>
    <name>yarn.resourcemanager.scheduler.class</name>
    <value>org.apache.hadoop.yarn.server.resourcemanager.scheduler.capacity.CapacityScheduler</value>
    <description>In case you do not want to use the default scheduler</description>
  </property>

  <property>
    <name>yarn.resourcemanager.address</name>
    <value>localhost:5271</value>
    <description>the host is the hostname of the ResourceManager and the port is the port on
    which the clients can talk to the Resource Manager. </description>
  </property>

  <property>
    <name>yarn.nodemanager.local-dirs</name>
    <value></value>
    <description>the local directories used by the nodemanager</description>
  </property>

  <property>
    <name>yarn.nodemanager.address</name>
    <value>localhost:5272</value>
    <description>the nodemanagers bind to this port</description>
  </property>  

  <property>
    <name>yarn.nodemanager.resource.memory-mb</name>
    <value>10240</value>
    <description>the amount of memory on the NodeManager in GB</description>
  </property>
 
  <property>
    <name>yarn.nodemanager.remote-app-log-dir</name>
    <value>/app-logs</value>
    <description>directory on hdfs where the application logs are moved to </description>
  </property>

   <property>
    <name>yarn.nodemanager.log-dirs</name>
    <value></value>
    <description>the directories used by Nodemanagers as log directories</description>
  </property>

  <property>
    <name>yarn.nodemanager.aux-services</name>
    <value>mapreduce_shuffle</value>
    <description>shuffle service that needs to be set for Map Reduce to run </description>
  </property>
	
</configuration>

到此爲止，hadoop單機版配置已經完成。

1）接下來咱們先格式化namenode,而後啓動namenode

hadoop namenode –format

hadoop-daemon.sh start namenode

能夠查看http://localhost:50070/dfshealth.jsp中logs的日誌 （帶namenode*.log字眼），確認是否啓動成功，若是沒有報錯則啓動成功。

2）接着啓動hdfs datanode

hadoop-daemon.sh start datanode

同時也能夠在開始頁面上查詢對應的日誌文件（帶datanode *.log字眼），若是沒有報錯，和namenode通訊成功，即啓動成功。

還能夠在命令行數據Jps查看是否有結果

3)繼續啓動yarn

yarn-daemon.sh start resourcemanager
yarn-daemon.sh start nodemanager

判斷啓動成功與否方法同上面一致。

最後進入hadoop-2.2.0\share\hadoop\mapreduce錄入中，測試運行

hadoop jar hadoop-mapreduce-examples-2.2.0.jar randomwriter out

查看運行是否成功