Hive只在一个节点上安装即可
1.上传tar包
2.解压
tar -zxvf hive-0.9.0.tar.gz -C /cloud/
3.安装mysql数据库（切换到root用户）（装在哪里没有限制，只有能联通hadoop集群的节点）
mysql安装仅供参考，不同版本mysql有各自的安装流程
rpm -qa | grep mysql
rpm -e mysql-libs-5.1.66-2.el6_3.i686 --nodeps
rpm -ivh MySQL-server-5.1.73-1.glibc23.i386.rpm
rpm -ivh MySQL-client-5.1.73-1.glibc23.i386.rpm
修改mysql的密码
/usr/bin/mysql_secure_installation
（注意：删除匿名用户，允许用户远程连接）
登陆mysql
mysql -u root -p
4.配置hive
（a）配置HIVE_HOME环境变量 vi conf/hive-env.sh 配置其中的$hadoop_home
（b）配置元数据库信息 vi hive-site.xml
添加如下内容：
<configuration>
<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://localhost:3306/hive?createDatabaseIfNotExist=true</value>
<description>JDBC connect string for a JDBC metastore</description>
</property>
<property>
<name>javax.jdo.option.ConnectionDriverName</name>
<value>com.mysql.jdbc.Driver</value>
<description>Driver class name for a JDBC metastore</description>
</property>
<property>
<name>javax.jdo.option.ConnectionUserName</name>
<value>root</value>
<description>username to use against metastore database</description>
</property>
<property>
<name>javax.jdo.option.ConnectionPassword</name>
<value>root</value>
<description>password to use against metastore database</description>
</property>
</configuration>
5.安装hive和mysq完成后，将mysql的连接jar包拷贝到$HIVE_HOME/lib目录下
如果出现没有权限的问题，在mysql授权(在安装mysql的机器上执行)
mysql -uroot -p
#(执行下面的语句 *.*:所有库下的所有表 %：任何IP地址或主机都可以连接)
GRANT ALL PRIVILEGES ON *.* TO 'root'@'%' IDENTIFIED BY 'root' WITH GRANT OPTION;
FLUSH PRIVILEGES;
6. Jline包版本不一致的问题，需要拷贝hive的lib目录中jline.2.12.jar的jar包替换掉hadoop中的
/home/hadoop/app/hadoop-2.6.4/share/hadoop/yarn/lib/jline-0.9.94.jar
启动hive
bin/hive
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6.建表(默认是内部表)
create table trade_detail(id bigint, account string, income double, expenses double, time string) row format delimited fields terminated by '\t';
建分区表
create table td_part(id bigint, account string, income double, expenses double, time string) partitioned by (logdate string) row format delimited fields terminated by '\t';
建外部表
create external table td_ext(id bigint, account string, income double, expenses double, time string) row format delimited fields terminated by '\t' location '/td_ext';
7.创建分区表
普通表和分区表区别：有大量数据增加的需要建分区表
create table book (id bigint, name string) partitioned by (pubdate string) row format delimited fields terminated by '\t';
分区表加载数据
load data local inpath './book.txt' overwrite into table book partition (pubdate='2010-08-22');
load data local inpath '/root/data.am' into table beauty partition (nation="USA");
select nation, avg(size) from beauties group by nation order by avg(size);
本文转自yushiwh 51CTO博客，原文链接：http://blog.51cto.com/yushiwh/1924808，如需转载请自行联系原作者
