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Mapreduce 包
你需从发布页面获得 MapReduce tar 包。若不能，你要将源码打成 tar 包。
$ mvn clean install -DskipTests
$ cd Hadoop-mapreduce-project
$ mvn clean install assembly:assembly -Pnative
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注意：你需要安装有 protoc 2.5.0。
忽略本地建立 mapreduce，你可以在 maven 中省略 -Pnative 参数。tar 包应该在 target/directory。
相关阅读：
- Ubuntu 13.04 上搭建 Hadoop 环境 http://www.linuxidc.com/Linux/2013-06/86106.htm
- Ubuntu 12.10 +Hadoop 1.2.1 版本集群配置 http://www.linuxidc.com/Linux/2013-09/90600.htm
- Ubuntu 上搭建 Hadoop 环境（单机模式 + 伪分布模式）http://www.linuxidc.com/Linux/2013-01/77681.htm
- Ubuntu 下 Hadoop 环境的配置 http://www.linuxidc.com/Linux/2012-11/74539.htm
- 单机版搭建 Hadoop 环境图文教程详解 http://www.linuxidc.com/Linux/2012-02/53927.htm
- 搭建 Hadoop 环境（在 Winodws 环境下用虚拟机虚拟两个 Ubuntu 系统进行搭建）http://www.linuxidc.com/Linux/2011-12/48894.htm
假设你已经安装 hadoop-common/hadoop-hdfs，并且输出了 $HADOOP_COMMON_HOME/$HADOOP_HDFS_HOME， 解压 hadoop mapreduce 包，配置环境变量 $HADOOP_MAPRED_HOME 到要安装的目录。$HADOOP_YARN_HOME 的配置和 $HADOOP_MAPRED_HOME一样.
注意：下面的操作假设你已经运行了 hdfs。
要启动 ResourceManager and NodeManager, 你必须升级配置。假设你的 $HADOOP_CONF_DIR 是配置目录，并且已经安装了 HDFS 和 core-site.xml。还有 2 个配置文件你必须设置 mapred-site.xml 和yarn-site.xml.
添加下面的配置到你的mapred-site.xml.
<property>
<name>mapreduce.cluster.temp.dir</name>
<value></value>
<description>No description</description>
<final>true</final>
</property>
<property>
<name>mapreduce.cluster.local.dir</name>
<value></value>
<description>No description</description>
<final>true</final>
</property>
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添加下面的配置到你的yarn-site.xml.
<property>
<name>yarn.resourcemanager.resource-tracker.address</name>
<value>host:port</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>host:port</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>host:port</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>0.0.0.0:port</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>
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确保你放置根队列到capacity-scheduler.xml.
<property>
<name>yarn.scheduler.capacity.root.queues</name>
<value>unfunded,default</value>
</property>
<property>
<name>yarn.scheduler.capacity.root.capacity</name>
<value>100</value>
</property>
<property>
<name>yarn.scheduler.capacity.root.unfunded.capacity</name>
<value>50</value>
</property>
<property>
<name>yarn.scheduler.capacity.root.default.capacity</name>
<value>50</value>
</property>
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假设环境变量 $HADOOP_COMMON_HOME, $HADOOP_HDFS_HOME, $HADOO_MAPRED_HOME, $HADOOP_YARN_HOME,$JAVA_HOME 和 $HADOOP_CONF_DIR 已经设置正确。$$YARN_CONF_DIR 的设置同 $HADOOP_CONF_DIR。
运行 ResourceManager 和 NodeManager 如下：
$ cd $HADOOP_MAPRED_HOME
$ sbin/yarn-daemon.sh start resourcemanager
$ sbin/yarn-daemon.sh start nodemanager
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你应该启动和运行。你可以运行 randomwriter 如下：
$ $HADOOP_COMMON_HOME/bin/hadoop jar hadoop-examples.jar randomwriter out
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祝你好运。
更多 Hadoop 相关信息见Hadoop 专题页面 http://www.linuxidc.com/topicnews.aspx?tid=13
