Hive只在一个节点安装即可

上传tar包

解压

> tar zxvf hive-0.13.1-bin.tar.gz

配置mysql

* 检查MySQL是否安装：rpm -qa | grep mysql
卸载MySQL：rpm -e --nodeps mysql-libs-5.1.66-2.el6_3.i686
安装MySQL服务端: rpm -ivh MySQL-server-5.1.73-1.glibc23.i386.rpm
安装MySQL客户端：rpm -ivh MySQL-client-5.1.73-1.glibc23.i386.rpm
启动MySQL服务： service mysql start/status
* 修改MySQL的密码
登录： mysql -uroot -p(安装时随机生成的密码)
修改： set PASSWORD=PASSWORD('123456')
* 删除匿名账号，允许用户远程连接
查询账号：select user,host,password from user
更新host允许远程连接：update user set host = '%' where user='root' and host='localhost';
删除其余三个：delete from user where ...
刷新权限：flush privileges;

配置hive

*cp hive-default.xml.template hive-site.xml
修改hive-site.xml（删除所有内容，只留一个）
添加如下内容：

javax.jdo.option.ConnectionURL
jdbc:mysql://weekend01:3306/hive?createDatabaseIfNotExist=true
JDBC connect string for a JDBC metastore


javax.jdo.option.ConnectionDriverName
com.mysql.jdbc.Driver
Driver class name for a JDBC metastore


javax.jdo.option.ConnectionUserName
root
username to use against metastore database


javax.jdo.option.ConnectionPassword
123456
password to use against metastore database

连接

* 将MySQL的连接驱动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 '123' WITH GRANT OPTION;
FLUSH PRIVILEGES;

启动

* $HIVE_HOME/bin/hive

常用命令

* 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';

* 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);