sum(drug_psn_cnt) over (partition by gend) as "性别统计总和",-- 性别统计总和,同一性别总和不变。 --各药品占所在性别占比 round(drug_psn_cnt/round( sum(drug_psn_cnt) over (partition by gend),4)*100,4)||'%' "各个药品分类占比", SUM (drug_psn_cnt) OVER () as "所有性别人数总...
SUM(amount)OVERw1hASh1_amount_sum, COUNT(amount)OVERw1hASh1_amount_count, ROUND(AVG(amount)OVERw1h,2)ASh1_amount_avg, FIRST_VALUE(amount)OVERw1hASh1_amount_first, LAST_VALUE(amount)OVERw1hASh1_amount_last, MAX(amount)OVERw1hASh1_amount_max, MIN(amount)OVERw1hASh1_amount_min, -- 3 h...
2、rank() over(partition by ... order by ...) 3、dense_rank() over(partition by ... order by ...) 4、count() over(partition by ... order by ...) 5、max() over(partition by ... order by ...) 6、min() over(partition by ... order by ...) 7、sum() over(partition ...
sum(price)over(partition by type)类别金额合计,(sum(price)over(order by type))/sum(
常用的聚合函数,例如 AVG、SUM、COUNT 等,也可以作为窗口函数使用。上文我们已经列举了一些聚合窗口函数的示例,再来看一个使用 AVG 函数计算移动平均值的例子: SELECTsaledate,amount,avg(amount)OVER(ORDERBYsaledateROWSBETWEEN1PRECEDINGAND1FOLLOWING)FROMsales_dataWHEREproduct='桔子'ANDchannel='淘宝';saledate|am...
我们想要的不是所有收益的总和,而是每个波段计算的总和,这是通过在窗口函数的OVER子句中添加PARTITION来获得的。 SELECT band, name, round(100 * earnings / Sum(earnings) OVER (PARTITION BY band), 1) AS percent FROM musicians ORDER BY band, percent; 每个乐队的总收入百分比 最后,为了完整起见,以下是...
(SELECTi.id,i.type,i."产品代码",i."日期",i."数量",o."出_汇总",sum(i."数量")OVER(PARTITIONBYi."产品代码"ORDERBYi."日期"NULLSFIRST,i."数量")AS"入_递增"FROM(t_product_inventory iLEFTJOIN(SELECTt_product_out."产品代码",sum(t_product_out."数量")AS"出_汇总"FROMt_product_...
select *, avg(score) over (partition by class_id) as class_avg_score from student; 1. 2. 开窗函数 – SUM OVER ORDER BY 语法:SUM(计算字段名) OVER (PARTITION BY 分组字段名 ORDER BY 排序字段 排序规则) 要求: 返回每个学生的详细信息(字段顺序和原始表的字段顺序一致),并且按照分数升序的方式累...
group by country ; 执行此查询后,我们会收到一条错误消息。在 SQL GROUP BY 子句中,如果在 Group by 子句中也使用了列,我们可以在 select 语句中使用该列。它不允许 select 子句中的任何列不是 GROUP BY 子句的一部分(抛开聚合函数,比如 count、sum、min 等等)。
select a.* ,sum(sal)over(partition by deptno) as total from emp a select a.* ,row_number()over(partition by deptno order by sal desc ) as rn from emp a --每个部门有多少人 select a.* ,count(*)over(partition by deptno) as cnt from emp a...