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查询 101部门salary>3000,102部门salary>4000, 其他部门salary>5000的男生、女生分别多少人?
可见,部门不同,条件也不同,怎么写呢?where条件中使用case when ,如下语句符合期望:
select
dept_id,
count(*) as total_num,
sum(
case
when sex = 1 then 1 else 0 end
) as female_num
,
sum(
case
when sex = 0 then 1 else 0 end
) as male_num
,
sum(
case
when (sex<>1 and sex<>0) or sex is null then 1 else 0 end
) as unknown_num
from staff
where salary >
(case
when dept_id = '101' then 3000
when dept_id = '102' then 4000
else 5000
end)
group by dept_id;
+---------+-----------+------------+----------+-------------+
| dept_id | total_num | female_num | male_num | unknown_num |
+---------+-----------+------------+----------+-------------+
| 101 | 4 | 1 | 2 | 1 |
| 102 | 2 | 1 | 0 | 1 |
| 104 | 1 | 0 | 1 | 0 |
+---------+-----------+------------+----------+-------------+
3 rows in set (0.00 sec)
欢迎大家来到IT世界,在知识的湖畔探索吧!
where条件中使用case when ,使用另一种语法,如下语句也符合期望:
欢迎大家来到IT世界,在知识的湖畔探索吧!select
dept_id,
count(*) as total_num,
sum(
case
when sex = 1 then 1 else 0 end
) as female_num
,
sum(
case
when sex = 0 then 1 else 0 end
) as male_num
,
sum(
case
when (sex<>1 and sex<>0) or sex is null then 1 else 0 end
) as unknown_num
from staff
where -- 换一种case when的语法
(case
when dept_id = '101' then salary > 3000
when dept_id = '102' then salary > 4000
else salary > 5000
end)
group by dept_id;
关于case when的用法详见:
MySQL分组统计你会吗?case when,sum,count会用吗?
表结构如下:
CREATE TABLE `staff` (
`id` bigint(20) NOT NULL AUTO_INCREMENT COMMENT 'ID',
`name` varchar(50) NOT NULL COMMENT '姓名',
`dept_id` varchar(10) DEFAULT NULL COMMENT '部门id',
`salary` double DEFAULT NULL COMMENT '工资',
`sex` int(11) DEFAULT NULL COMMENT '性别,1是男生,0是女生',
`created_time` datetime DEFAULT NULL COMMENT '创建时间',
`updated_time` datetime DEFAULT NULL COMMENT '更新时间',
PRIMARY KEY (`id`)
) ENGINE=InnoDB AUTO_INCREMENT=11 DEFAULT CHARSET=utf8 COMMENT='职员表'
现有记录:
欢迎大家来到IT世界,在知识的湖畔探索吧!mysql> select * from staff ;
+----+-------+---------+--------+------+---------------------+---------------------+
| id | name | dept_id | salary | sex | created_time | updated_time |
+----+-------+---------+--------+------+---------------------+---------------------+
| 1 | Tom | 101 | 2500 | 1 | 2020-03-08 18:37:55 | 2020-03-08 18:37:55 |
| 2 | Tonny | 101 | 3500 | 1 | 2020-03-08 18:37:55 | 2020-03-08 18:37:55 |
| 3 | Bob | 101 | 3500 | 0 | 2020-03-08 18:37:55 | 2020-03-08 18:37:55 |
| 4 | Rob | 101 | 4500 | NULL | 2020-03-08 18:37:55 | 2020-03-08 18:37:55 |
| 5 | Sudey | 101 | 5500 | 0 | 2020-03-08 18:37:55 | 2020-03-08 18:37:55 |
| 6 | Sunny | 102 | 5500 | 1 | 2020-03-08 18:37:55 | 2020-03-08 18:37:55 |
| 7 | Sedey | 102 | 3500 | 0 | 2020-03-08 18:37:55 | 2020-03-08 18:37:55 |
| 8 | Bobby | 102 | 4500 | NULL | 2020-03-08 18:37:55 | 2020-03-08 18:37:55 |
| 9 | Weedy | 103 | 4500 | 1 | 2020-03-08 18:37:55 | 2020-03-08 18:37:55 |
| 10 | Jimme | 104 | 5500 | 0 | 2020-03-08 18:37:55 | 2020-03-08 18:37:55 |
+----+-------+---------+--------+------+---------------------+---------------------+
10 rows in set (0.00 sec)
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