MySQL基础篇(01):经典实用查询案例,总结整理

database

本文源码:GitHub·点这里 || GitEE·点这里

一、连接查询

图解示意图

1、建表语句

部门和员工关系表:

CREATE TABLE `tb_dept` (

`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '主键ID',

`deptName` varchar(30) DEFAULT NULL COMMENT '部门名称',

PRIMARY KEY (`id`)

) ENGINE=InnoDB AUTO_INCREMENT=6 DEFAULT CHARSET=utf8;

CREATE TABLE `tb_emp` (

`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '主键ID',

`empName` varchar(20) DEFAULT NULL COMMENT '员工名称',

`deptId` int(11) DEFAULT '0' COMMENT '部门ID',

PRIMARY KEY (`id`)

) ENGINE=InnoDB AUTO_INCREMENT=8 DEFAULT CHARSET=utf8;

2、七种连接查询

  • 图1:左外连接

select t1.*,t2.empName,t2.deptId 

from tb_dept t1 LEFT JOIN tb_emp t2 on t1.id=t2.deptId;

  • 图2:右外连接

select t1.*,t2.empName,t2.deptId 

from tb_dept t1 RIGHT JOIN tb_emp t2 on t1.id=t2.deptId;

  • 图3:内连接

select t1.*,t2.empName,t2.deptId 

from tb_dept t1 inner join tb_emp t2 on t1.id=t2.deptId;

  • 图4:左连接

查询tb_dept表特有的地方。

select t1.*,t2.empName,t2.deptId 

from tb_dept t1 LEFT JOIN tb_emp t2 on t1.id=t2.deptId

WHERE t2.deptId IS NULL;

  • 图5:右连接

查询tb_emp表特有的地方。

select t1.*,t2.empName,t2.deptId 

from tb_dept t1 RIGHT JOIN tb_emp t2 on t1.id=t2.deptId

WHERE t1.id IS NULL;

  • 图6:全连接

select t1.*,t2.empName,t2.deptId 

from tb_dept t1 LEFT JOIN tb_emp t2 on t1.id=t2.deptId

UNION

select t1.*,t2.empName,t2.deptId

from tb_dept t1 RIGHT JOIN tb_emp t2 on t1.id=t2.deptId

  • 图7:全不连接

查询两张表互不关联到的数据。

select t1.*,t2.empName,t2.deptId 

from tb_dept t1 RIGHT JOIN tb_emp t2 on t1.id=t2.deptId

WHERE t1.id IS NULL

UNION

select t1.*,t2.empName,t2.deptId

from tb_dept t1 LEFT JOIN tb_emp t2 on t1.id=t2.deptId

WHERE t2.deptId IS NULL

二、时间日期查询

1、建表语句

CREATE TABLE `ms_consume` (

`id` int(11) NOT NULL AUTO_INCREMENT COMMENT '主键ID',

`user_id` int(11) NOT NULL COMMENT '用户ID',

`user_name` varchar(20) NOT NULL COMMENT '用户名',

`consume_money` decimal(20,2) DEFAULT '0.00' COMMENT '消费金额',

`create_time` datetime DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',

PRIMARY KEY (`id`)

) ENGINE=InnoDB AUTO_INCREMENT=9 DEFAULT CHARSET=utf8 COMMENT='消费表';

2、日期统计案例

  • 日期范围内首条数据

场景:产品日常运营活动中,经常见到这样规则:活动时间内,首笔消费满多少,优惠多少。

SELECT * FROM

(

SELECT * FROM ms_consume

WHERE

create_time

BETWEEN '2019-12-10 00:00:00' AND '2019-12-18 23:59:59'

ORDER BY create_time

) t1

GROUP BY t1.user_id ;

  • 日期之间时差

场景:常用的倒计时场景

SELECT t1.*,

timestampdiff(SECOND,NOW(),t1.create_time) second_diff

FROM ms_consume t1 WHERE t1.id='9' ;

  • 查询今日数据

-- 方式一

SELECT * FROM ms_consume

WHERE DATE_FORMAT(NOW(),'%Y-%m-%d')=DATE_FORMAT(create_time,'%Y-%m-%d');

-- 方式二

SELECT * FROM ms_consume

WHERE TO_DAYS(now())=TO_DAYS(create_time) ;

  • 时间范围统计

场景:统计近七日内,消费次数大于两次的用户。

SELECT user_id,user_name,COUNT(user_id) userIdSum 

FROM ms_consume WHERE create_time>date_sub(NOW(), interval '7' DAY)

GROUP BY user_id HAVING userIdSum>1;

  • 日期范围内平均值

场景:指定日期范围内的平均消费,并排序。

SELECT * FROM

(

SELECT user_id,user_name,

AVG(consume_money) avg_money

FROM ms_consume t

WHERE t.create_time BETWEEN '2019-12-10 00:00:00'

AND '2019-12-18 23:59:59'

GROUP BY user_id

) t1

ORDER BY t1.avg_money DESC;

三、树形表查询

1、建表语句

CREATE TABLE ms_city_sort (

`id` INT (11) NOT NULL AUTO_INCREMENT COMMENT '主键ID',

`city_name` VARCHAR (50) NOT NULL DEFAULT '' COMMENT '城市名称',

`city_code` VARCHAR (50) NOT NULL DEFAULT '' COMMENT '城市编码',

`parent_id` INT (11) NOT NULL DEFAULT '0' COMMENT '父级ID',

`state` INT (11) NOT NULL DEFAULT '1' COMMENT '状态:1启用,2停用',

`create_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '创建时间',

`update_time` datetime NOT NULL DEFAULT CURRENT_TIMESTAMP COMMENT '修改时间',

PRIMARY KEY (id)

) ENGINE = INNODB DEFAULT CHARSET = utf8 COMMENT = '城市分类管理';

2、直接SQL查询

SELECT t1.*, t2.parentName

FROM ms_city_sort t1

LEFT JOIN (

SELECT

m1.id,m2.city_name parentName

FROM

ms_city_sort m1,ms_city_sort m2

WHERE m1.parent_id = m2.id

AND m1.parent_id > 0

) t2 ON t1.id = t2.id;

3、函数查询

  • 查询父级名称

DROP FUNCTION IF EXISTS get_city_parent_name;

CREATE FUNCTION `get_city_parent_name`(pid INT)

RETURNS varchar(50) CHARSET utf8

begin

declare parentName VARCHAR(50) DEFAULT NULL;

SELECT city_name FROM ms_city_sort WHERE id=pid into parentName;

return parentName;

end

SELECT t1.*,get_city_parent_name(t1.parent_id) parentName FROM ms_city_sort t1 ;

  • 查询根节点子级

DROP FUNCTION IF EXISTS get_root_child;

CREATE FUNCTION `get_root_child`(rootId INT)

RETURNS VARCHAR(1000) CHARSET utf8

BEGIN

DECLARE resultIds VARCHAR(500);

DECLARE nodeId VARCHAR(500);

SET resultIds = '%';

SET nodeId = cast(rootId as CHAR);

WHILE nodeId IS NOT NULL DO

SET resultIds = concat(resultIds,',',nodeId);

SELECT group_concat(id) INTO nodeId

FROM ms_city_sort WHERE FIND_IN_SET(parent_id,nodeId)>0;

END WHILE;

RETURN resultIds;

END ;

SELECT * FROM ms_city_sort WHERE FIND_IN_SET(id,get_root_child(5)) ORDER BY id ;

四、源代码地址

GitHub·地址

https://github.com/cicadasmile/mysql-data-base

GitEE·地址

https://gitee.com/cicadasmile/mysql-data-base

以上是 MySQL基础篇(01):经典实用查询案例,总结整理 的全部内容, 来源链接: utcz.com/z/531878.html

回到顶部