基本环境及软件：
| 软件版本 | 软件包 |
|---|---|
| centos-6.4 | |
| JDK-1.8 | jdk-8u191-linux-x64.tar.gz |
| hadoop-2.6.0 | hadoop-2.6.0-cdh5.7.0.tar.gz |
| hive-1.1.0 | hive-1.1.0-cdh5.7.0.tar.gz |
软件安装包官网下载地址 ：http://archive-primary.cloudera.com/cdh5/cdh/5/
安装mysql
1.使用yum安装mysql server。
# yum install -y mysql-server
2.启动mysql
# service mysqld start
3.设置开机启动
# chkconfig mysqld on
3.进入mysql :
# mysql
4.在mysql上创建hive元数据库，并对hive进行授权
mysql> create database if not exists hive_metadata;
mysql> grant all privileges on hive_metadata.* to 'hive'@'%' identified by 'hive';
mysql> grant all privileges on hive_metadata.* to 'hive'@'localhost' identified by 'hive';
mysql> grant all privileges on hive_metadata.* to 'hive'@'bigdata' identified by 'hive';
5.刷新，即时生效
mysql> flush privileges;
6.简单测试，
mysql>use hive_metadata;
安装hive
注意：安装之前需要先安装Hadoop，请参考另一篇文章：https://blog.csdn.net/weixin_39689084/article/details/84548507
1.将下载的hive安装包上传到虚拟机的/usr/local/app目录下
2.解压缩hive安装包：
# tar -zxvf hive-1.1.0-cdh5.7.0.tar.gz
3.重命名hive目录：
# mv hive-1.1.0-cdh5.7.0 hive-1.1.0
4.配置hive相关的环境变量
# vim ~/.bashrc
#set hive environment
export HIVE_HOME=/usr/local/app/hive-1.1.0
export PATH=$PATH:$HIVE_HOME/bin
# source ~/.bashrc
5.使用yum安装mysql connector
# yum install -y mysql-connector-java
6.将mysql connector拷贝到hive的lib包中
# cp /usr/share/java/mysql-connector-java-5.1.17.jar /usr/local/app/hive-1.1.0/lib
7.配置 hive-site.xml ,在conf目录下创建hive-site.xml
# vim hive-site.xml
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?><configuration>
<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://bigdata:3306/hive_metadata?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>hive</value>
</property>
<property>
<name>javax.jdo.option.ConnectionPassword</name>
<value>hive</value>
</property>
<property>
<name>hive.metastore.warehouse.dir</name>
<value>/user/hive/warehouse</value>
</property>
</configuration>
8.配置hive-env.sh
# cp hive-env.sh.template hive-env.sh
# vim hive-env.sh
export JAVA_HOME=/usr/local/app/jdk1.8.0_191
export HIVE_HOME=/usr/local/app/hive-1.1.0
export HADOOP_HOME=/usr/local/app/hadoop-2.6.0
启动hive
# hive
hive的一些简单操作：在hive上创建员工和部门两张表
1.创建表
一、员工表
create table emp(
empno int,
ename string,
job string,
mgr int,
hiredate string,
sal double,
comm double,
deptno int
)
row format delimited fields terminated by '\t';二、部门表
create table dept(
deptno int,
dname string,
loc string
)
row format delimited fields terminated by '\t';
2，加载数据
a.准备数据，在/usr/local/下创建data目录，存放测试数据
# cd /usr/local/
# mkdir data
# cd data/
# vim emp.txt
7369 SMITH CLERK 7902 1980-12-17 800.0 0.0 20
7499 ALLEN SALESMAN 7698 1981-02-20 1600.0 300.0 30
7521 WARD SALESMAN 7698 1981-02-22 1250.0 500.0 30
7566 JONES MANAGER 7839 1981-04-02 2975.0 0.0 20
7654 MARTIN SALESMAN 7698 1981-09-28 1250.0 1400.0 30
7698 BLAKE MANAGER 7839 1981-05-01 2850.0 0.0 30
7782 CLARK MANAGER 7839 1981-06-09 2450.0 0.0 10
7788 SCOTT ANALYST 7566 1987-07-13 3000.0 0.0 20
7839 KING PRESIDENT NULL 1981-11-07 5000.0 0.0 10
7844 TURNER SALESMAN 7698 1981-09-08 1500.0 0.0 30
7876 ADAMS CLERK 7788 1987-07-13 1100.0 0.0 20
7900 JAMES CLERK 7698 1981-12-03 950.0 0.0 30
7902 FORD ANALYST 7566 1981-12-03 3000.0 0.0 20
7934 MILLER CLERK 7782 1982-01-23 1300.0 0.0 10# vim dept.txt
10 ACCOUNTING NEWYORK
20 RESEARCH DALLAS
30 SALES CHICAGO
40 OPERATIONS BOSTON
b.加载数据
hive> load data local inpath '/usr/local/data/emp.txt' into table emp;
hive> load data local inpath '/usr/local/data/dept.txt' into table dept;
c.查询数据
hive> select * from emp;
hive> select * from dept;
到此hive安装完成，有错误之处，请多多指教 !