语法格式:row_number() over(partition by 分组列 order by 排序列 desc)
row_number() over()分组排序功能:
在使用 row_number() over()函数时候,over()里头的分组以及排序的执行晚于 where 、group by、 order by 的执行。
创建测试表:
create table TEST_ROW_NUMBER_OVER(
id varchar(10) not null,
name varchar(10) null,
age varchar(10) null,
salary int null
);
select * from TEST_ROW_NUMBER_OVER t;
insert into TEST_ROW_NUMBER_OVER(id,name,age,salary) values(1,'a',10,8000);
insert into TEST_ROW_NUMBER_OVER(id,name,age,salary) values(1,'a2',11,6500);
insert into TEST_ROW_NUMBER_OVER(id,name,age,salary) values(2,'b',12,13000);
insert into TEST_ROW_NUMBER_OVER(id,name,age,salary) values(2,'b2',13,4500);
insert into TEST_ROW_NUMBER_OVER(id,name,age,salary) values(3,'c',14,3000);
insert into TEST_ROW_NUMBER_OVER(id,name,age,salary) values(3,'c2',15,20000);
insert into TEST_ROW_NUMBER_OVER(id,name,age,salary) values(4,'d',16,30000);
场景1:一次排序:对查询结果进行排序(无分组)
select id,name,age,salary,row_number()over(order by salary desc) rn
from TEST_ROW_NUMBER_OVER t;
结果:
场景2:进一步排序: 根据id分组排序
SELECT id,
NAME,
age,
salary,
row_number() over(PARTITION BY id ORDER BY salary DESC) rank
FROM test_row_number_over t;
场景3: 再一次排序:找出每一组中序号为一的数据
SELECT *
FROM (SELECT id,
NAME,
age,
salary,
row_number() over(PARTITION BY id ORDER BY salary DESC) rank
FROM test_row_number_over t)
WHERE rank < 2;
场景4: 找出年龄在13岁到16岁数据,按salary排序
SELECT id, NAME, age, salary, row_number() over(ORDER BY salary DESC) rank
FROM test_row_number_over t
WHERE age BETWEEN '13' AND '16';
结果表明:rank 的序号,其实就表明了 over(order by salary desc) 是在where age between and 后执行的
用法1:使用row_number()函数进行编号,如
SELECT NAME, id, row_number() over(ORDER BY age) AS rn
FROM test_row_number_over;
原理:先按age进行排序,排序完后,给每条数据进行编号
用法2: 按id的升序进行排序,并给每条记录进行排序代码如下:
SELECT NAME, id, row_number() over(ORDER BY id) AS rn
FROM test_row_number_over;
用法3:统计名字并按每一个名字下的年龄升序排序(默认是升序),同时给每一个年龄的名字进行编号。这样就知道每个名字有几个年龄了:
SELECT row_number() over(PARTITION BY NAME ORDER BY id) AS rn,
NAME,
id,
age
FROM test_row_number_over;
用法4:统计每一个名字排行第几
WITH tabs AS
(SELECT row_number() over(PARTITION BY NAME ORDER BY age) AS rn,
NAME,
id,
age
FROM test_row_number_over)
SELECT MAX(rn) AS numb, NAME FROM tabs GROUP BY NAME;
标签:salary,over,PLSQL,OVER,NUMBER,number,age,id,row
From: https://www.cnblogs.com/dengxing/p/17164246.html