Hive只在一个节点上安装即可
1.上传tar包
2.解压
tar -zxvf hive-1.2.1.tar.gz -C /usr/local
mv hive-1.2.1 hive
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$hadoop_home
(b)配置元数据库信息 vi hive-site.xml
添加如下内容:
<configuration>
<property>
<name>javax.jdo.option.ConnectionURL</name>
<value>jdbc:mysql://192.168.31.11:3306/hive?createDatabaseIfNotExist=true</value>
<description>JDBC connect string for a JDBC metastore</description>
</property>
<property>
<name>javax.jdo.option.ConnectionDriverName</name>
<value>com.mysql.jdbc.Driver</value>
<description>Driver class name for a JDBC metastore</description>
</property>
<property>
<name>javax.jdo.option.ConnectionUserName</name>
<value>root</value>
<description>username to use against metastore database</description>
</property>
<property>
<name>javax.jdo.option.ConnectionPassword</name>
<value>123456</value>
<description>password to use against metastore database</description>
</property>
</configuration>
5.安装hive和mysq完成后,将mysql的连接jar包拷贝到$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
//如果后面不想进入hive/bin下启动hive可以设置到环境变量里
修改环境变量/etc/profile:
vim /etc/profile
在文件末尾添加以下内容
#hive
export HIVE_HOME=/usr/local/hive
export PATH=$PATH:$HIVE_HOME/bin
执行立即生效
source /etc/profile
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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);
用beelinee 连接hive服务:
jdbc:hive2://localhost:10000 连接命令。
beeline> !connect jdbc:hive2://localhost:10000 //连接hive服务命令
Connecting to jdbc:hive2://localhost:10000
Enter username for jdbc:hive2://localhost:10000: hadoop //默认是机器的当前登录用户名
Enter password for jdbc:hive2://localhost:10000: //默认为空
Connected to: Apache Hive (version 1.2.1)
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【转载】
作者:云游遍天下
原文:https://blog.csdn.net/u011410254/article/details/83047264
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