数据库MySQL-多表查询

  • 2020 年 3 月 27 日
  • 笔记

1.2 多表查询

1.2.1 内连接

规则:返回两个表的公共记录

语法:

-- 语法一  select * from 表1 inner join 表2 on 表1.公共字段=表2.公共字段  -- 语法二  select * from 表1,表2 where 表1.公共字段=表2.公共字段

例题

-- inner join  mysql> select * from stuinfo inner join stumarks on stuinfo.stuno=stumarks.stuno;  +--------+----------+--------+--------+---------+------------+---------+--------+-------------+---------+  | stuNo  | stuName  | stuSex | stuAge | stuSeat | stuAddress | examNo  | stuNo  | writtenExam | labExam |  +--------+----------+--------+--------+---------+------------+---------+--------+-------------+---------+  | s25303 | 李斯文        | 女      |     22 |       2 | 北京           | s271811 | s25303 |          80 |      58 |  | s25302 | 李文才        | 男       |     31 |       3 | 上海          | s271813 | s25302 |          50 |      90 |  | s25304 | 欧阳俊雄        | 男       |     28 |       4 | 天津           | s271815 | s25304 |          65 |      50 |  | s25301 | 张秋丽         | 男       |     18 |       1 | 北京           | s271816 | s25301 |          77 |      82 |  | s25318 | 争青小子        | 男       |     26 |       6 | 天津           | s271819 | s25318 |          56 |      48 |  +--------+----------+--------+--------+---------+------------+---------+--------+-------------+---------+  5 rows in set (0.00 sec)    -- 相同的字段只显示一次  mysql> select s.stuno,stuname,stusex,writtenexam,labexam from stuinfo s inner join stumarks m on s.stuno=m.stuno;  +--------+----------+--------+-------------+---------+  | stuno  | stuname  | stusex | writtenexam | labexam |  +--------+----------+--------+-------------+---------+  | s25303 | 李斯文        | 女      |          80 |      58 |  | s25302 | 李文才        | 男       |          50 |      90 |  | s25304 | 欧阳俊雄        | 男       |          65 |      50 |  | s25301 | 张秋丽         | 男       |          77 |      82 |  | s25318 | 争青小子        | 男       |          56 |      48 |  +--------+----------+--------+-------------+---------+  5 rows in set (0.00 sec)    -- 使用where  mysql> select * from stuinfo,stumarks where stuinfo.stuno=stumarks.stuno;  +--------+----------+--------+--------+---------+------------+---------+--------+-------------+---------+  | stuNo  | stuName  | stuSex | stuAge | stuSeat | stuAddress | examNo  | stuNo  | writtenExam | labExam |  +--------+----------+--------+--------+---------+------------+---------+--------+-------------+---------+  | s25303 | 李斯文        | 女      |     22 |       2 | 北京           | s271811 | s25303 |          80 |      58 |  | s25302 | 李文才        | 男       |     31 |       3 | 上海          | s271813 | s25302 |          50 |      90 |  | s25304 | 欧阳俊雄        | 男       |     28 |       4 | 天津           | s271815 | s25304 |          65 |      50 |  | s25301 | 张秋丽         | 男       |     18 |       1 | 北京           | s271816 | s25301 |          77 |      82 |  | s25318 | 争青小子        | 男       |     26 |       6 | 天津           | s271819 | s25318 |          56 |      48 |  +--------+----------+--------+--------+---------+------------+---------+--------+-------------+---------+  5 rows in set (0.00 sec)

多学一招:

-- 1、内连接中inner可以省略  select * from 表1  join 表2 on 表1.公共字段=表2.公共字段    mysql> select * from stuinfo join stumarks on stuinfo.stuno=stumarks.stuno;  +--------+----------+--------+--------+---------+------------+---------+--------+-------------+---------+  | stuNo  | stuName  | stuSex | stuAge | stuSeat | stuAddress | examNo  | stuNo  | writtenExam | labExam |  +--------+----------+--------+--------+---------+------------+---------+--------+-------------+---------+  | s25303 | 李斯文        | 女      |     22 |       2 | 北京           | s271811 | s25303 |          80 |      58 |  | s25302 | 李文才        | 男       |     31 |       3 | 上海          | s271813 | s25302 |          50 |      90 |  | s25304 | 欧阳俊雄        | 男       |     28 |       4 | 天津           | s271815 | s25304 |          65 |      50 |  | s25301 | 张秋丽         | 男       |     18 |       1 | 北京           | s271816 | s25301 |          77 |      82 |  | s25318 | 争青小子        | 男       |     26 |       6 | 天津           | s271819 | s25318 |          56 |      48 |  +--------+----------+--------+--------+---------+------------+---------+--------+-------------+---------+  5 rows in set (0.00 sec)    -- 如何实现三表查询  select * from 表1 inner join 表2 on 表1.公共字段=表2.公共字段 inner join 表3 on 表2.公共字段=表3.公共字段    -- 表连接越多,效率越低

思考:

select * from 表1 inner join 表2 on 表1.公共字段=表2.公共字段  和  select * from 表2 inner join 表1 on 表1.公共字段=表2.公共字段   一样吗?    答:一样的

1.2.2 左外连接

规则:以左边的表为准,右边如果没有对应的记录用null显示

语法:

select * from 表1 left join 表2 on 表1.公共字段=表2.公共字段

例题:

mysql> select stuname,writtenexam,labexam from stuinfo left join stumarks on stuinfo.stuno=stumarks.stuno;  +----------+-------------+---------+  | stuname  | writtenexam | labexam |  +----------+-------------+---------+  | 张秋丽         |          77 |      82 |  | 李文才        |          50 |      90 |  | 李斯文        |          80 |      58 |  | 欧阳俊雄        |          65 |      50 |  | 诸葛丽丽         |        NULL |    NULL |  | 争青小子        |          56 |      48 |  | 梅超风        |        NULL |    NULL |  +----------+-------------+---------+  7 rows in set (0.01 sec)

思考:

select * from 表1 left join 表2 on 表1.公共字段=表2.公共字段  和  select * from 表2 left join 表1 on 表1.公共字段=表2.公共字段   一样吗?    答:不一样,第一个SQL以表1为准,第二个SQL以表2为准。

1.2.3 右外连接

规则:以右边的表为准,左边如果没有对应的记录用null显示

语法:

select * from 表1 right join 表2 on 表1.公共字段=表2.公共字段

例题:

mysql> select stuname,writtenexam,labexam from stuinfo right join stumarks on stuinfo.stuno=stumarks.stuno;  +----------+-------------+---------+  | stuname  | writtenexam | labexam |  +----------+-------------+---------+  | 李斯文        |          80 |      58 |  | 李文才        |          50 |      90 |  | 欧阳俊雄        |          65 |      50 |  | 张秋丽         |          77 |      82 |  | 争青小子        |          56 |      48 |  | NULL     |          66 |      77 |  +----------+-------------+---------+  6 rows in set (0.00 sec)

思考

select * from 表1 left join 表2 on 表1.公共字段=表2.公共字段  和  select * from 表2 right join 表1 on 表1.公共字段=表2.公共字段   一样吗?    答:一样

1.2.4 交叉连接

语法,返回笛卡尔积

select * from 表1 cross join 表2

例题

-- 交叉连接  mysql> select * from stuinfo cross join stumarks;    -- 交叉连接有连接表达式与内连接是一样的  mysql> select * from stuinfo cross join stumarks on stuinfo.stuno=stumarks.stuno;  +--------+----------+--------+--------+---------+------------+---------+--------+-------------+---------+  | stuNo  | stuName  | stuSex | stuAge | stuSeat | stuAddress | examNo  | stuNo  | writtenExam | labExam |  +--------+----------+--------+--------+---------+------------+---------+--------+-------------+---------+  | s25303 | 李斯文        | 女      |     22 |       2 | 北京           | s271811 | s25303 |          80 |      58 |  | s25302 | 李文才        | 男       |     31 |       3 | 上海          | s271813 | s25302 |          50 |      90 |  | s25304 | 欧阳俊雄        | 男       |     28 |       4 | 天津           | s271815 | s25304 |          65 |      50 |  | s25301 | 张秋丽         | 男       |     18 |       1 | 北京           | s271816 | s25301 |          77 |      82 |  | s25318 | 争青小子        | 男       |     26 |       6 | 天津           | s271819 | s25318 |          56 |      48 |  +--------+----------+--------+--------+---------+------------+---------+--------+-------------+---------+  5 rows in set (0.00 sec)

小结

1、交叉连接如果没有连接条件返回笛卡尔积

2、如果有连接条件和内连接是一样的。

1.2.5 自然连接

自动判断条件连接,判断的条件是依据同名字段

1、自然内连接(natural join)

mysql> select * from stuinfo natural join stumarks;  +--------+----------+--------+--------+---------+------------+---------+-------------+---------+  | stuNo  | stuName  | stuSex | stuAge | stuSeat | stuAddress | examNo  | writtenExam | labExam |  +--------+----------+--------+--------+---------+------------+---------+-------------+---------+  | s25303 | 李斯文        | 女      |     22 |       2 | 北京           | s271811 |          80 |      58 |  | s25302 | 李文才        | 男       |     31 |       3 | 上海          | s271813 |          50 |      90 |  | s25304 | 欧阳俊雄        | 男       |     28 |       4 | 天津           | s271815 |          65 |      50 |  | s25301 | 张秋丽         | 男       |     18 |       1 | 北京           | s271816 |          77 |      82 |  | s25318 | 争青小子        | 男       |     26 |       6 | 天津           | s271819 |          56 |      48 |  +--------+----------+--------+--------+---------+------------+---------+-------------+---------+  5 rows in set (0.00 sec)

2、自然左外连接(natural left join)

mysql> select * from stuinfo natural left join stumarks;  +--------+----------+--------+--------+---------+------------+---------+-------------+---------+  | stuNo  | stuName  | stuSex | stuAge | stuSeat | stuAddress | examNo  | writtenExam | labExam |  +--------+----------+--------+--------+---------+------------+---------+-------------+---------+  | s25301 | 张秋丽         | 男       |     18 |       1 | 北京           | s271816 |          77 |      82 |  | s25302 | 李文才        | 男       |     31 |       3 | 上海          | s271813 |          50 |      90 |  | s25303 | 李斯文        | 女      |     22 |       2 | 北京           | s271811 |          80 |      58 |  | s25304 | 欧阳俊雄        | 男       |     28 |       4 | 天津           | s271815 |          65 |      50 |  | s25305 | 诸葛丽丽         | 女      |     23 |       7 | 河南           | NULL    |        NULL |    NULL |  | s25318 | 争青小子        | 男       |     26 |       6 | 天津           | s271819 |          56 |      48 |  | s25319 | 梅超风        | 女      |     23 |       5 | 河北          | NULL    |        NULL |    NULL |  +--------+----------+--------+--------+---------+------------+---------+-------------+---------+  7 rows in set (0.00 sec)

3、自然右外连接(natural right join)

mysql> select * from stuinfo natural right join stumarks;  +--------+---------+-------------+---------+----------+--------+--------+---------+------------+  | stuNo  | examNo  | writtenExam | labExam | stuName  | stuSex | stuAge | stuSeat | stuAddress |  +--------+---------+-------------+---------+----------+--------+--------+---------+------------+  | s25303 | s271811 |          80 |      58 | 李斯文        | 女      |     22 |       2 | 北京           |  | s25302 | s271813 |          50 |      90 | 李文才        | 男       |     31 |       3 | 上海          |  | s25304 | s271815 |          65 |      50 | 欧阳俊雄        | 男       |     28 |       4 | 天津           |  | s25301 | s271816 |          77 |      82 | 张秋丽         | 男       |     18 |       1 | 北京           |  | s25318 | s271819 |          56 |      48 | 争青小子        | 男       |     26 |       6 | 天津           |  | s25320 | s271820 |          66 |      77 | NULL     | NULL   |   NULL |    NULL | NULL       |  +--------+---------+-------------+---------+----------+--------+--------+---------+------------+  6 rows in set (0.00 sec)

小结:

1、表连接是通过同名字段来连接的

2、如果没有同名字段就返回笛卡尔积

3、同名的连接字段只显示一个,并且将该字段放在最前面

1.2.6 using

using用来指定连接字段

mysql> select * from stuinfo inner join stumarks using(stuno);  +--------+----------+--------+--------+---------+------------+---------+-------------+---------+  | stuNo  | stuName  | stuSex | stuAge | stuSeat | stuAddress | examNo  | writtenExam | labExam |  +--------+----------+--------+--------+---------+------------+---------+-------------+---------+  | s25303 | 李斯文        | 女      |     22 |       2 | 北京           | s271811 |          80 |      58 |  | s25302 | 李文才        | 男       |     31 |       3 | 上海          | s271813 |          50 |      90 |  | s25304 | 欧阳俊雄        | 男       |     28 |       4 | 天津           | s271815 |          65 |      50 |  | s25301 | 张秋丽         | 男       |     18 |       1 | 北京           | s271816 |          77 |      82 |  | s25318 | 争青小子        | 男       |     26 |       6 | 天津           | s271819 |          56 |      48 |  +--------+----------+--------+--------+---------+------------+---------+-------------+---------+  5 rows in set (0.00 sec)

using的结果也会对公共字段进行优化,优化的规则和自然连接是一样的;

1.2.7 练习

1、显示地区及每个地区参加笔试的人数,并按人数降序排列

-- 第一步: 显示地区及每个地区参加笔试的人数  mysql> select stuaddress,count(writtenexam) from stuinfo left join stumarks using(stuno) group by stuaddress;  +------------+--------------------+  | stuaddress | count(writtenexam) |  +------------+--------------------+  | 上海          |                  1 |  | 北京           |                  2 |  | 天津           |                  2 |  | 河北          |                  0 |  | 河南           |                  0 |  +------------+--------------------+  5 rows in set (0.00 sec)    -- 第二步:将结果降序排列  mysql> select stuaddress,count(writtenexam) c from stuinfo left join stumarks using(stuno) group by stuaddress order by c desc;  +------------+---+  | stuaddress | c |  +------------+---+  | 北京           | 2 |  | 天津           | 2 |  | 上海          | 1 |  | 河北          | 0 |  | 河南           | 0 |  +------------+---+  5 rows in set (0.00 sec)

2、显示有学生参加考试的地区

-- having筛选  mysql> select stuaddress,count(writtenexam) c from stuinfo left join stumarks using(stuno) group by stuaddress having c>0;  +------------+---+  | stuaddress | c |  +------------+---+  | 上海          | 1 |  | 北京           | 2 |  | 天津           | 2 |  +------------+---+  3 rows in set (0.00 sec)    -- 表连接实现  -- 第一步:右连接获取有成绩的地区  mysql> select stuaddress from stuinfo right join stumarks using(stuno);  +------------+  | stuaddress |  +------------+  | 北京           |  | 上海          |  | 天津           |  | 北京           |  | 天津           |  | NULL       |  +------------+  6 rows in set (0.00 sec)  -- 第二步:去重复  mysql> select distinct stuaddress from stuinfo right join stumarks using(stuno);  +------------+  | stuaddress |  +------------+  | 北京           |  | 上海          |  | 天津           |  | NULL       |  +------------+  4 rows in set (0.00 sec)    -- 去除null  mysql> select distinct stuaddress from stuinfo right join stumarks using(stuno) having stuaddress is not null;  +------------+  | stuaddress |  +------------+  | 北京           |  | 上海          |  | 天津           |  +------------+  3 rows in set (0.00 sec)

3、显示男生和女生的人数

-- 方法一: 分组查询  mysql> select stusex,count(*) from stuinfo group by stusex;  +--------+----------+  | stusex | count(*) |  +--------+----------+  | 女      |        3 |  | 男       |        4 |  +--------+----------+  2 rows in set (0.00 sec)    -- 方法二: union  mysql> select stusex,count(*) from stuinfo where stusex='男' union select stusex,count(*) from stuinfo where stusex='女';  +--------+----------+  | stusex | count(*) |  +--------+----------+  | 男       |        4 |  | 女      |        3 |  +--------+----------+  2 rows in set (0.00 sec)    -- 方法三:直接写条件    mysql> select sum(stusex='男') 男,sum(stusex='女') 女 from stuinfo;  +------+------+  | 男     | 女    |  +------+------+  |    4 |    3 |  +------+------+  1 row in set (0.00 sec)

4、显示每个地区男生、女生、总人数

mysql> select stuaddress,count(*) 总人数,sum(stusex='男') 男,sum(stusex='女') 女 from stuinfo group by stuaddress;  +------------+--------+------+------+  | stuaddress | 总人数       | 男     | 女    |  +------------+--------+------+------+  | 上海          |      1 |    1 |    0 |  | 北京           |      2 |    1 |    1 |  | 天津           |      2 |    2 |    0 |  | 河北          |      1 |    0 |    1 |  | 河南           |      1 |    0 |    1 |  +------------+--------+------+------+  5 rows in set (0.00 sec)