[网络环境设置]
vim /etc/hosts
192.168.100.52 hadoop1
192.168.99.34 hadoop2
192.168.103.135 hadoop3
分别到对应机器执行：
hostname hadoop1
hostname hadoop2
hostname hadoop3
[打通机器]
hadoop1# ssh-keygen -t dsa -P ” -f ~/.ssh/id_dsa
hadoop1# scp ~/.ssh/id_dsa.pub hadoop2:/root/
hadoop1# scp ~/.ssh/id_dsa.pub hadoop3:/root/
hadoop2# cat id_dsa.pub >> ~/.ssh/authorized_keys
hadoop3# cat id_dsa.pub >> ~/.ssh/authorized_keys
验证：从hadoop1登录到hadoop2和hadoop3，不再需要密码。
[安装hadoop]
确保所有机器有 ssh rsync jdk
确保设置了：
export JAVA_HOME=/opt/soft/jdk
hive在0.20.x的hadoop做了大量的测试，因此选择0.20
cd /opt/soft/
wget http://mirror.bjtu.edu.cn/apache/hadoop/core/hadoop-0.20.2/hadoop-0.20.2.tar.gz
tar -zxvf hadoop-0.20.2.tar.gz
cd hadoop-0.20.2/
vim .bashrc
export HADOOP_HOME=/opt/soft/hadoop-0.20.2
（重复以上操作到另外两机器）
[配置hadoop]
vim conf/core-site.xml
修改：
<configuration>
<property>
<!- 用于dfs命令模块中指定默认的文件系统协议 ->
<name>fs.default.name</name>
<value>hdfs://hadoop1:9000</value>
</property>
</configuration>
vim conf/hdfs-site.xml
修改：
<configuration>
<property>
<!- DFS中存储文件命名空间信息的目录 ->
<name>dfs.name.dir</name>
<value>/opt/hadoop/data/dfs.name.dir</value>
</property>
<property>
<!- DFS中存储文件数据的目录 ->
<name>dfs.data.dir</name>
<value>/opt/hadoop/data/dfs.data.dir</value>
</property>
<property>
<!- 是否对DFS中的文件进行权限控制(测试中一般用false)->
<name>dfs.permissions</name>
<value>false</value>
</property>
</configuration>
vim conf/mapred-site.xml
修改：
<configuration>
<property>
<!- 用来作JobTracker的节点的(一般与NameNode保持一致) ->
<name>mapred.job.tracker</name>
<value>hadoop1:9001</value>
</property>
<property>
<!- map/reduce的系统目录（使用的HDFS的路径） ->
<name>mapred.system.dir</name>
<value>/opt/hadoop/system/mapred.system.dir</value>
</property>
<property>
<!- map/reduce的临时目录（可使用“,”隔开，设置多重路径来分摊磁盘IO） ->
<name>mapred.local.dir</name>
<value>/opt/hadoop/data/mapred.local.dir</value>
</property>
</configuration>
vim masters
hadoop1
vim slaves
hadoop2
hadoop3
scp conf/* hadoop2:/opt/soft/hadoop-0.20.2/conf/
scp conf/* hadoop3:/opt/soft/hadoop-0.20.2/conf/
[初始化]
cd $HADOOP_HOME/bin
./hadoop namenode -format
启动
./start-all.sh
[验证]
$HADOOP_HOME/bin/hadoop dfs -ls /
打开 http://192.168.100.52:50030
http://192.168.100.52:50070
[搭建hive集群]
下载
只需要在hadoop1机器上安装
cd /opt/soft/hadoop-0.20.2
wget http://mirror.bjtu.edu.cn/apache/hive/hive-0.7.0/hive-0.7.0.tar.gz
tar zxvf hive-0.7.0.tar.gz
cd hive-0.7.0
vim ~/.bashrc
export HIVE_HOME=/opt/soft/hadoop-0.20.2/hive-0.7.0$HIVE_HOME/bin/hive
>create table tt(id int,name string) row format delimited fields terminated by ‘,’ collection items terminated by “\n” stored as textfile;
>select * from tt;
>drop table tt;
试玩结束。
[配置hive]
准备mysql:hadoop1 user:hadoop pwd:hadoop
>create database hive
>GRANT all ON hive.* TO hadoop@% IDENTIFIED BY ‘hadoop’;
>FLUSH PRIVILEGES ;
vim $HIVE_HOME/conf/hive-site.xml
<?xml version=”1.0″?>
<?xml-stylesheet type=”text/xsl” href=”configuration.xsl”?>
<configuration>
<property>
<name>hive.metastore.local</name>
<value>true</value>
</property><property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://hadoop1:3306/hive?createDatabaseIfNotExist=true</value>
</property><property>
<name>javax.jdo.option.ConnectionDriverName</name>
<value>com.mysql.jdbc.Driver</value>
</property><property>
<name>javax.jdo.option.ConnectionUserName</name>
<value>hadoop</value>
</property><property>
<name>javax.jdo.option.ConnectionPassword</name>
<value>hadoop</value>
</property>
</configuration>
[启动]
复制一个mysql-connector-java-5.1.10.jar到hive/lib下后：
$HIVE_HOME/bin/hive
>create table tt(id int,name string) row format delimited fields terminated by ‘,’ collection items terminated by “\n” stored as textfile;
如果报如下错：
FAILED: Error in metadata: javax.jdo.JDOException: Couldnt obtain a new sequence (unique id) : Binary logging not possible. Message: Transaction level ‘READ-COMMITTED’ in InnoDB is not safe for binlog mode ‘STATEMENT’
退出hive后，以root进入mysql执行：
>set global binlog_format=’MIXED’;
这是mysql的一个bug。
安装结束。