Mysql 开窗函数在Mysql8.0+ 中可以得以使用,实在且好用。
- row number() over
- rank() over
- dense rank()
- ntile()
我们先上测试数据,是不同姓名,不同课程的分数表;
/*测试数据*/
CREATE TABLE `school_score` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`name` char(1) DEFAULT NULL,
`course` char(10) DEFAULT NULL,
`score` int (2) DEFAULT NULL,
PRIMARY KEY (`id`)
) ;
INSERT INTO `test`.`school_score`(`id`, `name`,`course`,`score`) VALUES (1, 'A','Chinese',80);
INSERT INTO `test`.`school_score`(`id`, `name`,`course`,`score`) VALUES (2, 'B','Chinese',90);
INSERT INTO `test`.`school_score`(`id`, `name`,`course`,`score`) VALUES (3, 'C','Chinese',70);
INSERT INTO `test`.`school_score`(`id`, `name`,`course`,`score`) VALUES (4, 'A','Math',70);
INSERT INTO `test`.`school_score`(`id`, `name`,`course`,`score`) VALUES (5, 'B','Math',100);
INSERT INTO `test`.`school_score`(`id`, `name`,`course`,`score`) VALUES (6, 'C','Math',80);
INSERT INTO `test`.`school_score`(`id`, `name`,`course`,`score`) VALUES (7, 'A','English',90);
INSERT INTO `test`.`school_score`(`id`, `name`,`course`,`score`) VALUES (8, 'B','English',85);
INSERT INTO `test`.`school_score` (`id`, `name`,`course`,`score`) VALUES (9, 'C','English',99);
- row number() over
/*开窗函数和排名类函数结合,看每个课程的排名*/
SELECT
`name`,
`course`,
`score`,
row_number ( ) over ( PARTITION BY `course` ORDER BY score DESC ) AS score_rank
FROM
`test`.`school_score`;
结果????:
/*使用开窗函数计算每个课程分数最高的一个*/
SELECT
*
FROM
( SELECT `name`, `course`, `score`, row_number ( ) over ( PARTITION BY `course` ORDER BY score DESC ) AS score_rank FROM `test`.`school_score` ) AS a
WHERE
a.score_rank = 1;
结果????:
/*第二部分:开窗函数和SUM() ,AVG() 等聚合函数结合*/
SELECT
`name`,
`course`,
`score`,
SUM( score ) over ( PARTITION BY `course` ) AS course_score_total ,
round(AVG(score) over (PARTITION BY `course`),2) as course_score_avg
FROM
`test`.`school_score`;
结果????:
/* SUM(score) over (PARTITION BY `course` ORDER BY score ASC) 如果执行这个语句,就是在每个
课程对分数进行累加*/
SELECT
`name`,
`course`,
`score`,
SUM(score) over (PARTITION BY `course` ORDER BY score ASC ) as course_score_total
FROM
`test`.`school_score`;
思考????: 有order by ,按照排序连续累加;无order by ,计算partition by 后的和;over() 中没有partition by ,计算所有数据总和
同时,order by 的asc 和 desc 的排序不同,有order by 的结果也不一样。
2. row number() over , rank() over ,dense rank() 三者对比。
create table students_score(
id int(4) auto_increment primary key,
name varchar(50) not null,
score int(4) not null
);
insert into students_score(name,score) values
('A', 300),
('B', 240),
('C', 250),
('D', 280),
('E', 240),
('F', 200);
执行????语句:
SELECT
`id`,
`name`,
rank ( ) over ( ORDER BY score DESC ) AS r,
DENSE_RANK ( ) OVER ( ORDER BY score DESC ) AS dense_r,
row_number ( ) OVER ( ORDER BY score DESC ) AS row_r
FROM
students_score;
???? 看图????区别,就可以知道三者的排名的区别了,如果我是校长,我希望可以按照 DENSE_RANK() 的排序,公平且可以激励着一代代莘莘学子。
3.ntile()分组
SELECT
`id`,
`name`,
score,
ntile(3) over (order by score desc) as n
FROM
students_score;