zoukankan      html  css  js  c++  java
  • MySQL多表查询(重要)

    一、连表查询

    • 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

    数据准备

    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(基本没用)

    # 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(inner可以省略)
    • 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 dep inner join emp on dep.id=emp.dep_id;	# 内连接的inner可以省略
    

    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 A表 left 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 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 left 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

    左右连接可以相互转化

    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

    将左连接和右连接通过关键字相连即实现全连接

    关键字:union

    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

    create table author(
    	id int,
        name varchar(64),
        detail_id int
    );
    create table author_detail(
    	id int,
        phone varchar(11)
    );
    insert into author values(1, 'Bob', 1), (2, 'Tom', 2), (3, 'ruakei', 2);
    insert into author_detail values(1, '13344556677'), (2, '14466779988'), (3, '12344332255');
    
    select author.id,name,phone from author join author_detail on author.detail_id = author_detail.id order by author.id;
    
    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

    create table author(
    	id int,
        name varchar(64),
        detail_id int
    );
    insert into author values(1, 'Bob', 1), (2, 'Tom', 2), (3, 'ruakei', 0);
    
    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);
    
    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);
    
    # 多对多
    select book.name, book.price, author.name from book 
    join author_book on book.id = author_book.book_id
    join author on author_book.author_id = author.id;
    
    # 多对多对1
    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;
    
    

    二、子查询(重点***)

    子查询:将一条查询sql的结果作为另一条sql的条件

    • 增:insert into 表 select子查询结果
    • 删:delete from 表 where条件 select子查询(查询的表不能与delete表相同)
    • 查:select 字段 from 表 where条件 select子查询
    • 改:update 表 set 字段=值 where select子查询(查询的表不能与update表相同)
    # 子查询的sql
    select dep, max(salary) from emp group by dep;
    # 将子查询转换为一张表
    create table t1(dep_name varchar(64), max_salary decimal(5,2));
    
    ## 子查询 - 增
    insert into t1 select dep, max(salary) from emp group by dep;
    
    ## 子查询 - 删(查询的表不能与delete表相同)
    delete from t1 where dep_name in (select distinct dep from emp);
    
    ## 子查询 - 改(查询的表不能与delete表相同)
    update t1 set max_salary=max_salary+1 where dep_name in (select distinct dep from emp);
    
    ## 子查询 - 查
    select * from emp where (dep, salary) in (select dep, max(salary) from emp group by dep);
    

    三、all与any:区间修饰条件

    # 语法规则
    where id in (1, 2, 3) # id是1或2或3
    where id not in (1, 2, 3) #  id不是1,2,3
    where salary < all(3, 6, 9) # salary必须小于所有情况(小于最小)
    where salary > all(3, 6, 9) # salary必须大于所有情况(大于最大)
    where salary < any(3, 6, 9) # salary只要小于一种情况(小于最大)
    where salary > any(3, 6, 9) # salary只要大于一种情况(大于最小)
    
    # 案例,查询员工表中 薪资低于id大于11的员工薪资 所有的员工信息
    select * from emp where salary < all(select salary from emp where id>11);
    
  • 相关阅读:
    RocketMQ(4.8.0)——Broker读写分离机制
    RocketMQ(4.8.0)——Broker消息存储机制
    RocketMQ(4.8.0)——Broker 概述、启动和停止流程
    RocketMQ(4.8.0)——RocketMQ的路由原理
    RocketMQ(4.8.0)——Namesrv 服务
    RocketMQ(4.8.0)——RocketMQ部署拓扑和部署实践
    RocketMQ(4.8.0)——RocketMQ体系架构
    RocketMQ(4.8.0)——消费者最佳实践
    Java丨时间判断谁前谁后
    MySQL丨分页查询
  • 原文地址:https://www.cnblogs.com/XuChengNotes/p/11595341.html
Copyright © 2011-2022 走看看