一.安装
1.创建docker-compose.yml文件
XML
version: '3.1'
services:
hbase:
image: harisekhon/hbase:1.4.7
container_name: hbase
restart: always
ports:
- 8880:8080
- 8885:8085
- 9990:9090
- 9995:9095
- 16000:16000
- 16010:16010
- 16020:16020
- 16030:16030
- 16201:16201
- 16301:16301
- 2381:2181
environment:
# SERVICE_PRECONDITION: "namenode:50070 datanode:50075"
- TZ="Asia/Shanghai"
- LANG=en_US.UTF-8
volumes:
- ./hbase_data:/hbase-data
- ./hbase_zookeeper_data:/zookeeper-data
networks:
default:
driver: bridge
使用docker-compose命令运行:
bash
docker-compose up -d
2.修改配置文件
(1).修改hbase-site.xml配置文件
hbase.rootdir 修改成 hbase.root.dir
(2).在hbase-env.sh里面添加
bash
export HBASE_DISABLE_HADOOP_CLASSPATH_LOOKUP=true
(3).重启hbase即可
二.使用
1.建表
bash
//创建命名空间
create_namespace 'user'
//创建表
create 'user:sac','student','course1','course2','course3'
2.插入数据
bash
//第一条
put 'user:sac','2015001','student:S_Name','zhangsan'
put 'user:sac','2015001','student:S_Sex','male'
put 'user:sac','2015001','student:S_Age','23'
put 'user:sac','2015001','course1:C_No','123001'
put 'user:sac','2015001','course1:C_Name','Math'
put 'user:sac','2015001','course1:C_Credit','2.0'
put 'user:sac','2015001','course1:Score','86'
put 'user:sac' ,'2015001','course3:C_No','123003'
put 'user:sac' ,'2015001','course3:C_Name','English'
put 'user:sac' ,'2015001','course3:C_Credit','3.0'
put 'user:sac' ,'2015001','course3:Score','69'
//第二条
put 'user:sac' ,'2015002','student:S_Name','lisi'
put 'user:sac' ,'2015002','student:S_Sex','female'
put 'user:sac' ,'2015002','student:S_Age','22'
put 'user:sac' ,'2015002','course2:C_No','123002'
put 'user:sac' ,'2015002','course2:C_Name','Conputer Science'
put 'user:sac' ,'2015002','course2:Credit','5.0'
put "user:sac" ,'2015002','course2:Score','77'
put 'user:sac' ,'2015002','course3:C_No','123003'
put 'user:sac' ,'2015002','course3:C_Name','English'
put 'user:sac' ,'2015002','course3:Credit','3.0'
put 'user:sac' ,'2015002','course3:Score','99'
//第三条
put 'user:sac' ,'2015003','student:S_Name','wanger'
put 'user:sac' ,'2015003','student:S_Sex','male'
put 'user:sac' ,'2015003','student:S_Age','24'
put 'user:sac' ,'2015003','course1:C_No','123001'
put 'user:sac' ,'2015003','course1:C_Name','Math'
put 'user:sac' ,'2015003','course1:C_Credit','2.0'
put 'user:sac' ,'2015003','course1:Score','98'
put 'user:sac' ,'2015003','course2:C_No','123002'
put 'user:sac' ,'2015003','course2:C_Name','Computer Science'
put 'user:sac' ,'2015003','course2:C_Credit','5.0'
put 'user:sac' ,'2015003','course2:Score','95'
3.查询
(1).查询命名空间列表
bash
//show databases;
list_namespace
(2).查询命名空间(database)下的表
bash
//show tables;
list_namespace_tables 'namespace'
(3).全表查询
bash
//select * from tableName
scan 'namespace:table'
(4).全表扫面指定的族(根据表下的某个族查询)
在nosql中存储数据是将某个对象所有的属性全部存储
例如关系型数据库中的用户,权限,角色是分表存储,但是nosql中,将某个用户的权限角色都一起存在用户表中;
其中用户,角色,权限分别属于用户表中的三个族
bash
scan 'namespace:table',COLUMn=>'用户族'
(5).查询某个族下的指定列的数据
bash
//查询唯一一条 get
//根据条件查询某条数据
get 'namespace:table','rowkey','族:列'
bash
//批量查询 scan
//查询从rowkeyStart到rowkeyStop的数据
scan 'namespace:table',
bash
{COLUMN=>'族',STARTROW=>'rowkeyStart',STOPROW=>'rowkeySTOP+1'}
//查询10条数据
scan 'namespace:table',{COLUMN=>'族',LIMIT=>10}
(6).根据条件过滤查询
bash
scan 'namespace:table',FILTER=>"ColumnPrefixFilter('字段条件') AND ValueFilter(=,'substring:内容条件')"
例:
//在user库中查询,学生姓名列S_Name包含'张'的数据
scan 'user:sac',FILTER=>"ColumnPrefixFilter('S_Name') AND ValueFilter(=,'substring:zhang')"
4.删除数据
bash
(1).根据rowkey删除指定的行 //deleteall rowkey
deleteall '2015003'