描述
题目:现在运营想要分别查看学校为山东大学或者性别为男性的用户的device_id、gender、age和gpa数据,请取出相应结果,结果不去重。
示例:user_profile
| id | device_id | gender | age | university | gpa | active_days_within_30 | question_cnt | answer_cnt |
|---|---|---|---|---|---|---|---|---|
| 1 | 2138 | male | 21 | 北京大学 | 3.4 | 7 | 2 | 12 |
| 2 | 3214 | male | 复旦大学 | 4 | 15 | 5 | 25 | |
| 3 | 6543 | female | 20 | 北京大学 | 3.2 | 12 | 3 | 30 |
| 4 | 2315 | female | 23 | 浙江大学 | 3.6 | 5 | 1 | 2 |
| 5 | 5432 | male | 25 | 山东大学 | 3.8 | 20 | 15 | 70 |
| 6 | 2131 | male | 28 | 山东大学 | 3.3 | 15 | 7 | 13 |
| 7 | 4321 | male | 26 | 复旦大学 | 3.6 | 9 | 6 | 52 |
根据示例,你的查询应返回以下结果(注意输出的顺序,先输出学校为山东大学再输出性别为男生的信息):
| device_id | gender | age | gpa |
|---|---|---|---|
| 5432 | male | 25 | 3.8 |
| 2131 | male | 28 | 3.3 |
| 2138 | male | 21 | 3.4 |
| 3214 | male | None | 4 |
| 5432 | male | 25 | 3.8 |
| 2131 | male | 28 | 3.3 |
| 4321 | male | 28 | 3.6 |
示例
输入:
drop table if exists `user_profile`;
drop table if exists `question_practice_detail`;
CREATE TABLE `user_profile` (
`id` int NOT NULL,
`device_id` int NOT NULL,
`gender` varchar(14) NOT NULL,
`age` int ,
`university` varchar(32) NOT NULL,
`gpa` float,
`active_days_within_30` int ,
`question_cnt` int ,
`answer_cnt` int
);
CREATE TABLE `question_practice_detail` (
`id` int NOT NULL,
`device_id` int NOT NULL,
`question_id`int NOT NULL,
`result` varchar(32) NOT NULL
);
CREATE TABLE `question_detail` (
`id` int NOT NULL,
`question_id`int NOT NULL,
`difficult_level` varchar(32) NOT NULL
);
INSERT INTO user_profile VALUES(1,2138,'male',21,'北京大学',3.4,7,2,12);
INSERT INTO user_profile VALUES(2,3214,'male',null,'复旦大学',4.0,15,5,25);
INSERT INTO user_profile VALUES(3,6543,'female',20,'北京大学',3.2,12,3,30);
INSERT INTO user_profile VALUES(4,2315,'female',23,'浙江大学',3.6,5,1,2);
INSERT INTO user_profile VALUES(5,5432,'male',25,'山东大学',3.8,20,15,70);
INSERT INTO user_profile VALUES(6,2131,'male',28,'山东大学',3.3,15,7,13);
INSERT INTO user_profile VALUES(7,4321,'male',28,'复旦大学',3.6,9,6,52);
INSERT INTO question_practice_detail VALUES(1,2138,111,'wrong');
INSERT INTO question_practice_detail VALUES(2,3214,112,'wrong');
INSERT INTO question_practice_detail VALUES(3,3214,113,'wrong');
INSERT INTO question_practice_detail VALUES(4,6543,111,'right');
INSERT INTO question_practice_detail VALUES(5,2315,115,'right');
INSERT INTO question_practice_detail VALUES(6,2315,116,'right');
INSERT INTO question_practice_detail VALUES(7,2315,117,'wrong');
INSERT INTO question_practice_detail VALUES(8,5432,117,'wrong');
INSERT INTO question_practice_detail VALUES(9,5432,112,'wrong');
INSERT INTO question_practice_detail VALUES(10,2131,113,'right');
INSERT INTO question_practice_detail VALUES(11,5432,113,'wrong');
INSERT INTO question_practice_detail VALUES(12,2315,115,'right');
INSERT INTO question_practice_detail VALUES(13,2315,116,'right');
INSERT INTO question_practice_detail VALUES(14,2315,117,'wrong');
INSERT INTO question_practice_detail VALUES(15,5432,117,'wrong');
INSERT INTO question_practice_detail VALUES(16,5432,112,'wrong');
INSERT INTO question_practice_detail VALUES(17,2131,113,'right');
INSERT INTO question_practice_detail VALUES(18,5432,113,'wrong');
INSERT INTO question_practice_detail VALUES(19,2315,117,'wrong');
INSERT INTO question_practice_detail VALUES(20,5432,117,'wrong');
INSERT INTO question_practice_detail VALUES(21,5432,112,'wrong');
INSERT INTO question_practice_detail VALUES(22,2131,113,'right');
INSERT INTO question_practice_detail VALUES(23,5432,113,'wrong');
INSERT INTO question_detail VALUES(1,111,'hard');
INSERT INTO question_detail VALUES(2,112,'medium');
INSERT INTO question_detail VALUES(3,113,'easy');
INSERT INTO question_detail VALUES(4,115,'easy');
INSERT INTO question_detail VALUES(5,116,'medium');
INSERT INTO question_detail VALUES(6,117,'easy');
输出:
5432|male|25|3.8
2131|male|28|3.3
2138|male|21|3.4
3214|male|None|4.0
5432|male|25|3.8
2131|male|28|3.3
4321|male|28|3.6
解题
select
device_id, gender, age, gpa
from user_profile
where university='山东大学'
union all
select
device_id, gender, age, gpa
from user_profile
where gender='male'
题解
NION和UNION ALL都是用来合并两个或多个SELECT语句的结果集的。
不同之处在于UNION会自动去重,而UNION ALL不会。
以下是使用UNION的示例:
假设有两个表:
Table1
+----+--------+
| ID | Name |
+----+--------+
| 1 | Alice |
| 2 | Bob |
| 3 | Charlie|
+----+--------+
Table2
+----+------+
| ID | Name |
+----+------+
| 3 | Dave |
| 4 | Eve |
| 5 | Frank|
+----+------+
我们可以使用以下查询语句来将表1和表2中的数据合并:
SELECT Name FROM Table1
UNION
SELECT Name FROM Table2;
结果如下:
+--------+
| Name |
+--------+
| Alice |
| Bob |
| Charlie|
| Dave |
| Eve |
| Frank |
+--------+
可以看到,结果中的重复行"Dave"被自动去除了。
下面是使用UNION ALL的示例:
SELECT Name FROM Table1
UNION ALL
SELECT Name FROM Table2;
结果如下:
+--------+
| Name |
+--------+
| Alice |
| Bob |
| Charlie|
| Dave |
| Eve |
| Frank |
| Charlie|
| Dave |
| Eve |
| Frank |
+--------+
可以看到,结果中出现了重复行"Dav"和"Eve",因为我们使用了UNION ALL而不是UNION。