连表查询

连表查询

连接

# 连接:将有联系的多张表通过关联(有联系就行,不一定是外键)字段,进行连接,形参一张大表
# 连表查询:在大表的基础上进行查询,就称之为连表查询

# 将表与表建立连接的方式有四种:内连接、左连接、右连接、全连接

一对多数据准备

mysql>: create database db3;
mysql>: use db3;

mysql>: 
create table dep(
	id int primary key auto_increment,
	name varchar(16),
	work varchar(16)
);
create table emp(
	id int primary key auto_increment,
	name varchar(16),
	salary float,
	dep_id int
);
insert into dep values(1, '市场部', '销售'), (2, '教学部', '授课'), (3, '管理部', '开车');
insert into emp(name, salary, dep_id) values('egon', 3.0, 2),('yanghuhu', 2.0, 2),('sanjiang', 10.0, 1),('owen', 88888.0, 2),('liujie', 8.0, 1),('yingjie', 1.2, 0);

笛卡尔积

# 笛卡尔积: 集合 X{a, b} * Y{o, p, q} => Z{{a, o}, {a, p}, {a, q}, {b, o}, {b, p}, {b, q}}

mysql>: select * from emp, dep;

# 总结:是两张表 记录的所有排列组合,数据没有利用价值

内连接

# 关键字:inner join on
# 语法:from A表 inner join B表 on A表.关联字段=B表.关联字段

mysql>: 
select 
	emp.id,emp.name,salary,dep.name,work 
from emp inner join dep on emp.dep_id = dep.id 
order by emp.id;

# 总结:只保留两个表有关联的数据

左连接

# 关键字:left join on
# 语法:from 左表 left join 右表 on 左表.关联字段=右表.关联字段

mysql>: 
select 
	emp.id,emp.name,salary,dep.name,work 
from emp left join dep on emp.dep_id = dep.id 
order by emp.id;

# 总结:保留左表的全部数据,右表有对应数据直接连表显示,没有对应关系空填充

右连接

# 关键字:right join on
# 语法:from A表 right join B表 on A表.关联字段=B表关联字段

mysql>: 
select 
	emp.id,emp.name,salary,dep.name,work 
from emp right join dep on emp.dep_id = dep.id 
order by emp.id;

# 总结:保留右表的全部数据,左表有对应数据直接连表显示,没有对应关系空填充

左右可以相互转化

mysql>: 
select 
	emp.id,emp.name,salary,dep.name,work 
from emp right join dep on emp.dep_id = dep.id 
order by emp.id;

mysql>: 
select 
	emp.id,emp.name,salary,dep.name,work 
from dep left join emp on emp.dep_id = dep.id 
order by emp.id;

# 总结:更换一下左右表的位置,相对应更换左右连接关键字,结果相同

全连接

mysql>: 
select 
	emp.id,emp.name,salary,dep.name,work 
from emp left join dep on emp.dep_id = dep.id 

union

select 
	emp.id,emp.name,salary,dep.name,work 
from emp right join dep on emp.dep_id = dep.id 

order by id;

# 总结:左表右表数据都被保留,彼此有对应关系正常显示,彼此没有对应关系均空填充对方

一对一与一对多情况一致

# 创建一对一 作者与作者详情 表
create table author(
	id int,
    name varchar(64),
    detail_id int
);
create table author_detail(
	id int,
    phone varchar(11)
);
# 填充数据
insert into author values(1, 'Bob', 1), (2, 'Tom', 2), (3, 'ruakei', 0);
insert into author_detail values(1, '13344556677'), (2, '14466779988'), (3, '12344332255');

# 内连
select author.id,name,phone from author join author_detail on author.detail_id = author_detail.id order by author.id;

# 全连
select author.id,name,phone from author left join author_detail on author.detail_id = author_detail.id
union
select author.id,name,phone from author right join author_detail on author.detail_id = author_detail.id
order by id;

多对多:两表两表建立连接

# 在一对一基础上,建立 作者与书 的多对多关系关系

# 利用之前的作者表
create table author(
	id int,
    name varchar(64),
    detail_id int
);
insert into author values(1, 'Bob', 1), (2, 'Tom', 2), (3, 'ruakei', 0);

# 创建新的书表
create table book(
	id int,
    name varchar(64),
    price decimal(5,2)
);
insert into book values(1, 'python', 3.66), (2, 'Linux', 2.66), (3, 'Go', 4.66);

# 创建 作者与书 的关系表
create table author_book(
	id int,
    author_id int,
    book_id int
);
# 数据:author-book:1-1,2  2-2,3  3-1,3
insert into author_book values(1,1,1),(2,1,2),(3,2,2),(4,2,3),(5,3,1),(6,3,3);

# 将有关联的表一一建立连接,查询所以自己所需字段
select book.name, book.price, author.name, author_detail.phone from book 
join author_book on book.id = author_book.book_id
join author on author_book.author_id = author.id
left join author_detail on author.detail_id = author_detail.id;
posted @ 2019-09-27 10:07  黑井白子  阅读(437)  评论(0编辑  收藏  举报
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