立即学习:https://edu.youkuaiyun.com/course/play/27328/370700?utm_source=blogtoedu
distinct,返回列的唯一不同值,去除重复数据
语法:
select distinct column_name,column_name from table_name;
employee表:
+----+--------+------+--------+-------+
| id | name | sex | salary | dept |
+----+--------+------+--------+-------+
| 1 | 张三 | 男 | 5500 | 部门A |
| 2 | 李洁 | 女 | 4500 | 部门C |
| 3 | 李小梅 | 女 | 4200 | 部门A |
| 4 | 欧阳辉 | 男 | 7500 | 部门C |
| 5 | 李芳 | 女 | 8500 | 部门A |
| 6 | 张江 | 男 | 6800 | 部门A |
| 7 | 李四 | 男 | 12000 | 部门B |
| 8 | 王五 | 男 | 3500 | 部门B |
| 9 | 马小龙 | 男 | 6000 | 部门A |
| 10 | 龙五 | 男 | 8000 | 部门B |
| 11 | 冯小芳 | 女 | 10000 | 部门C |
| 12 | 马小花 | 女 | 4000 | 部门B |
| 13 | 柳峰 | 男 | 8800 | 部门A |
+----+--------+------+--------+-------+
对性别做distinct:
select distinct sex from employee;
+------+
| sex |
+------+
| 男 |
| 女 |
+------+
select distinct sex,count(*) from employee;
和 gruop by 作用类似
footprint表:
+----+----------+------+------------+
| id | username | city | visit_date |
+----+----------+------+------------+
| 1 | liufeng | 贵阳 | 2019-12-05 |
| 2 | liufeng | 贵阳 | 2020-01-15 |
| 3 | liufeng | 北京 | 2018-10-10 |
| 4 | zhangsan | 上海 | 2020-01-01 |
| 5 | zhangsan | 上海 | 2020-02-02 |
| 6 | lisi | 拉萨 | 2016-12-20 |
+----+----------+------+------------+
对用户名去重
select distinct username from footprint;
+----------+
| username |
+----------+
| liufeng |
| zhangsan |
| lisi |
+----------+
用户都去过哪些城市:
select distinct username,city from footprint;
+----------+------+
| username | city |
+----------+------+
| liufeng | 贵阳 |
| liufeng | 北京 |
| zhangsan | 上海 |
| lisi | 拉萨 |
+----------+------+