hadoop安装部署2------安装hadoop

安装hadoop

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解压hadoop-2.6.3.tar.gz

tar -zxvf hadoop-2.6.3.tar.gz

解压完成后修改所有者和所属组为

chown hadoop:hadoop –R hadoop-2.6.3

修改配置文件

在配置前首先在/home/hadoop/目录下创建tmp目录和dfs目录,dfs目录下创建name目录和data目录,以便于下面的配置

1)hadoop-env.sh 修改java_home即可

2)yarn-env.sh 修改java_home即可

3)slaves 添加slave机器的hostname

4)master 不需要修改(因为现在机器的NameNodeSecondaryNameNode是一台机器,如果是不同机器,需要配置)

5)core-site.xml

<configuration>

<property>

<name>fs.defaultFS</name>

<value>hdfs://master.hadoop:9000</value>

</property>

<property>

<name>io.file.buffer.size</name>

<value>131072</value>

</property>

<property>

<name>hadoop.tmp.dir</name>

<value> file:/home/hadoop/tmp</value>

</property>

<property>

<name>hadoop.proxyuser.spark.hosts</name>

<value>*</value>

</property>

<property>

<name>hadoop.proxyuser.spark.groups</name>

<value>*</value>

</property>

</configuration>

6)hdfs-site.xml

<configuration>

<property>

<name>dfs.namenode.secondary.http-address</name>

<value>master.hadoop:9001</value>

</property>

<property>

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

<value>file:/home/hadoop/dfs/name</value>

</property>

<property>

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

<value>file:/home/hadoop/dfs/data</value>

</property>

<property>

<name>dfs.replication</name>

<value>3</value>

</property>

<property>

<name>dfs.webhdfs.enabled</name>

<value>true</value>

</property>

</configuration>

7)mapred-site.xml

<configuration>

<property>

<name>mapreduce.framework.name</name>

<value>yarn</value>

</property>

<property>

<name>mapreduce.jobhistory.address</name>

<value>master.hadoop:10020</value>

</property>

<property>

<name>mapreduce.jobhistory.webapp.address</name>

<value>master.hadoop:19888</value>

</property>

</configuration>

8)yarn-site.xml

<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>master.hadoop:8032</value>

</property>

<property>

<name>yarn.resourcemanager.scheduler.address</name>

<value>master.hadoop:8030</value>

</property>

<property>

<name>yarn.resourcemanager.resource-tracker.address</name>

<value>master.hadoop:8035</value>

</property>

<property>

<name>yarn.resourcemanager.admin.address</name>

<value>master.hadoop:8033</value>

</property>

<property>

<name>yarn.resourcemanager.webapp.address</name>

<value>master.hadoop:8088</value>

</property>

</configuration>

配置完成后将hadoop文件分发到各台机器上并修改所有者和所属组

scp -r hadoop-2.6.3 root@slavex:/opt

chown hadoop:hadoop -R hadoop-2.6.3

在master配置hadoop环境变量

# set Hadoop environment

export HADOOP_HOME=/opt/hadoop-2.6.3

export PATH=$PATH:$HADOOP_HOME/bin:$HADOOP_HOME/sbin

格式化hadoop

namenode ./bin/hdfs namenode -format

开启hadoop

./sbin/start-all.sh

查看java相关进程情况jps

master:ResourceManager,NameNode,SecondaryNameNode

slave:DataNode,NodeManager

查看集群状态 ./bin/hdfs dfsadmin -report

查看hdfs http://localhost:50070

查看map-reduce http://localhost:8088

posted @ 2016-03-19 16:29  iYou  阅读(308)  评论(0编辑  收藏  举报