hadoop单机伪分布式环境搭建和mahout试用

单机版hadoop安装
（1）下载hadoop安装包，解压  http://hadoop.apache.org/releases.html
（2）配置环境变量
export PATH=$PATH:/home/iomssbd/user/hadoop-2.4.1/bin:/home/iomssbd/user/hadoop-2.4.1/sbin

export HADOOP_HOME=/home/iomssbd/user/hadoop-2.4.1

export HADOOP_COMMON_HOME=$HADOOP_HOME

export HADOOP_HDFS_HOME=$HADOOP_HOME

export HADOOP_MAPRED_HOME=$HADOOP_HOME

export HADOOP_YARN_HOME=$HADOOP_HOME

export HADOOP_CONF_DIR=$HADOOP_HOME/etc/hadoop

export HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native

export HADOOP_OPTS="-Djava.library.path=$HADOOP_HOME/lib"
--------------------------------测试hadoop环境是否可用--------------------------------
cd $HADOOP_HOME
mkdir input
cp etc/hadoop/*.xml input
bin/hadoop jar share/hadoop/mapreduce/hadoop-mapreduce-examples-2.4.1.jar grep input output 'dfs[a-z.]+'
cat ./output/*
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（3）修改配置文件
1.修改hadoop安装路径etc/hadoop下的hadoop-env.sh
export JAVA_HOME=/home/iomssbd/user/java/jdk1.7.0_67
export HADOOP_LOG_DIR=/home/iomssbd/user/hadoop-2.4.1/logs
2.修改hadoop安装路径etc/hadoop下的core-site.xml
<property>

        <name>hadoop.tmp.dir</name>

        <value>file:/home/iomssbd/user/hadoop-2.4.1/tmp</value>

        <description>Abase for other temporary directories.</description>

    </property>

    <property>

        <name>fs.defaultFS</name>

        <value>hdfs://localhost:9001</value>

    </property>

    <property>

        <name>hadoop.logfile.size</name>

        <value>1000000</value>

        <description>The max size of each log file</description>

   </property>

   <property>

        <name>hadoop.logfile.count</name>

        <value>5</value>

        <description>The max number of log files</description>

   </property>
3.修改hadoop安装路径etc/hadoop下的hdfs-site.xml
       <property>

        <name>dfs.replication</name>

        <value>1</value>

    </property>

    <property>

        <name>dfs.namenode.name.dir</name>

        <value>file:/home/iomssbd/user/hadoop-2.4.1/tmp/dfs/name</value>

    </property>

    <property>

        <name>dfs.datanode.data.dir</name>

        <value>file:/home/iomssbd/user/hadoop-2.4.1/tmp/dfs/data</value>

    </property>

    <property>

        <name>dfs.datanode.address</name>

        <value>localhost:50011</value>

    </property>

    <property>

        <name>dfs.datanode.http.address</name>

        <value>localhost:50076</value>

    </property>

    <property>

        <name>dfs.datanode.ipc.address</name>

        <value>localhost:50021</value>

    </property>
（4）启动hadoop伪分布式集群
cd $HADOOP_HOME
sbin/start-dfs.sh
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mahout安装和使用
（1）下载   http://archive.apache.org/dist/mahout/
（2）解压  tar -zcvf apache-mahout-distribution-0.10.1.tar.gz
（3）修改配置文件   
export MAHOUT_HOME=/home/iomssbd/user/apache-mahout-distribution-0.10.1

export MAHOUT_CONF_DIR=$MAHOUT_HOME/conf

export PATH=$MAHOUT_HOME/conf:$MAHOUT_HOME/bin:$PATH
（4）输入命令mahout测试是否成功，如果打印出过个mahout命令即成功
---------------------测试使用-----------------------------------------------
（5）下载测试数据  http://kdd.ics.uci.edu/databases/synthetic_control/链接中的synthetic_control.data
（6）创建dfs路径
hadoop fs -mkdir hdfs://localhost:9001/user
hadoop fs -mkdir hdfs://localhost:9001/user/iomssbd
（7）上传测试文件
hadoop fs -put  synthetic_control.data hdfs://localhost:9001/user/iomssbd/testdata
（8）执行kmeans算法
mahout -core  org.apache.mahout.clustering.syntheticcontrol.kmeans.Job
（9）查看数据结果
hadoop fs -ls /user/iomssbd/output