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SQLPARTITIONBY用法小结
时间:2026-08-03 09:17:49 编辑:袖梨 来源:一聚教程网
SQLPARTITIONBY用法小结需要先看清适用场景和关键步骤,避免只记结论却忽略实际限制。
一、前言
关于同表分组,今天发现Partition By 特好用,

相比于Group By,贵在保留原表所有行+灵活计算
二、案例
对于同表TableA 的不同分组计数,如:
SELECT *, (SELECT COUNT(1) TableA B where A.COL1=B.COL1) AS COUNT1(SELECT COUNT(1) TableA B where A.COL1=B.COL1 AND A.COL2=B.COL2 ) AS COUNT2(SELECT COUNT(1) TableA B where A.COL1=B.COL1 AND A.COL2=B.COL2 AND A.COL3=B.COL3) AS COUNT3FROM TableA A
使用PARTITION BY:
SELECT *, count(1) OVER (PARTITION BY COL1) AS COUNT1count(1) OVER (PARTITION BY COL1,COL2) AS COUNT2count(1) OVER (PARTITION BY COL1,COL2,COL3) AS COUNT3FROM TableA A
代码一下清爽了。
三、与group by 对比
实现计数
SELECT *, count(1) OVER (PARTITION BY COL1) AS COUNT1FROM TableA A
相当于
SELECT *, (SELECT COUNT(1) TableA B where A.COL1=B.COL1 group by COL1) AS COUNT1FROM TableA A
四、妙用
4.1 接函数
SELECT *, -- 计算总销 SUM(amount) OVER (PARTITION BY COL1 ) AS total, -- 计算占比(保留2位小数) ROUND(COL3 / SUM(COL2 ) OVER (PARTITION BY COL1 ) * 100, 2) AS ratioFROM TableA ;
4.2 行号
SELECT *, ROW_NUMBER() OVER (PARTITION BY COL1 ORDER BY COL2 DESC) FROM TableA ;
多一个行号列 1、2、3、4、5
4.3 count 另类
count 会遍历所有数据, 但是ROW_NUMBER()-1 只会取一条,
这未曾不是一种优化
SELECT *, ROW_NUMBER() OVER (PARTITION BY COL1 ORDER BY COL2 DESC) -1 as count1 FROM TableA ;--备注SELECT *, CASE when count1=0 Then 1 else 2 END AS '新产品'FROM TableA ;
当然 还可以 MAX(count1)-1 作为 总条数的取值。