hadoop-2.5安装与配置

安装之前准备4台机器：bluejoe0,bluejoe4,bluejoe5,bluejoe9

bluejoe0作为master，bluejoe4,5,9作为slave

bluejoe0作为namenode

bluejoe9为secondary namenode

bluejoe4,5,9作为datanode

安装hadoop

首先在bluejoe0机器上下载hadoop：

wget http://mirrors.cnnic.cn/apache/hadoop/common/stable2/hadoop-2.5.2.tar.gz

保存至/usr/local/，tar之；

ln之，/usr/local/hadoop；

配置hdfs

配置core-site.xml：

<configuration>
        <property>
                <name>fs.default.name</name>
                <value>hdfs://bluejoe0:9000</value>
        </property>
        <property>
                <name>io.file.buffer.size</name>
                <value>4096</value>
        </property>

        <property>
                 <name>hadoop.tmp.dir</name>
                 <value>/data/hdfs/tmp</value>
        </property>
</configuration>

配置hdfs-site.xml：

<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>

<configuration>
        <property>
                <name>dfs.name.dir</name>
                <value>file:/data/hdfs/name</value>
        </property>
        <property>
                <name>dfs.data.dir</name>
                <value>file:/data/hdfs/data</value>
        </property>
        <property>
                <name>dfs.permissions</name>
                <value>false</value>
       </property>
        <property>
                <name>dfs.replication</name>
                <value>2</value>
        </property>
        <property>
                <name>dfs.webhdfs.enabled</name>
                <value>true</value>
        </property>
        <property>
                <name>dfs.namenode.rpc-address</name>
                <value>bluejoe0:9000</value>
        </property>
        <property>
                <name>dfs.namenode.secondary.http-address</name>
                <value>bluejoe9:50090</value>
        </property>
</configuration>

注意，dfs.namenode.rpc-address要和fs.default.name一致。

设置/usr/local/hadoop/etc/hadoop/hadoop-env.sh：

export JAVA_HOME=/usr/lib/jvm/java-1.6.0-openjdk-1.6.0.0.x86_64

scp，将hadoop目录复制到其它机器；

配置slaves：

bluejoe4
bluejoe5
bluejoe9

namenode格式化：

hdfs namenode -format

启动hdfs：

./sbin/start-dfs.sh

可以看到输出信息：

Starting namenodes on [bluejoe0]
bluejoe0: starting namenode, logging to /usr/local/hadoop-2.5.2/logs/hadoop-root-namenode-bluejoe0.out
bluejoe9: starting datanode, logging to /usr/local/hadoop-2.5.2/logs/hadoop-root-datanode-bluejoe9.out
bluejoe4: starting datanode, logging to /usr/local/hadoop-2.5.2/logs/hadoop-root-datanode-bluejoe4.out
bluejoe5: starting datanode, logging to /usr/local/hadoop-2.5.2/logs/hadoop-root-datanode-bluejoe5.out
Starting secondary namenodes [bluejoe9]

接下来，可以查看Web界面(http://bluejoe0:50070/)，其datanodes截图如下：

目前为止，hdfs安装完毕！

配置mapreduce

修改 yarn-site.xml：

<?xml version="1.0"?>
<configuration>
        <property>
                <name>yarn.nodemanager.aux-services</name>
                <value>mapreduce_shuffle</value>
        </property>

        <property>
                <name>yarn.nodemanager.aux-services.mapreduce.shuffle.class</name>
                <value>org.apache.hadoop.mapred.ShuffleHandler</value>
        </property>

        <property>
                <name>yarn.resourcemanager.address</name>
                <value>bluejoe0:8032</value>
        </property>

        <property>
                <name>yarn.resourcemanager.scheduler.address</name>
                <value>bluejoe0:8030</value>
        </property>

        <property>
                <name>yarn.resourcemanager.resource-tracker.address</name>
                <value>bluejoe0:8031</value>
         </property>

         <property>
                <name>yarn.resourcemanager.admin.address</name>
                <value>bluejoe0:8033</value>
        </property>

        <property>
                <name>yarn.resourcemanager.webapp.address</name>
                <value>bluejoe0:8088</value>
        </property>
</configuration>

scp如上配置文件至其它节点；

启动mapreduce框架：

/usr/local/hadoop-2.5.2/sbin/start-yarn.sh

启动浏览器，访问http://bluejoe0:8088：

执行测试程序：

hadoop jar /usr/local/hadoop/share/hadoop/mapreduce/hadoop-mapreduce-examples-2.5.2.jar pi 100 1000

Job Finished in 12.885 seconds

Estimated value of Pi is 3.14120000000000000000

设置/usr/local/hadoop/etc/hadoop/hadoop-env.sh：

export JAVA_HOME=/usr/lib/jvm/java-1.6.0-openjdk-1.6.0.0.x86_64