SUM(amount) OVER (...) AS running_total计算了每个日期对应的销售额累加值。 执行这个查询后,你将得到一个结果集,其中包含每个销售日期、当天的销售额以及从月初到当天为止的销售额累加值。 如果你想要实现其他类型的累加操作(比如按周、按天等),只需调整PARTITION BY子句中的分组列和ORDER BY子句中的排序列即...
ROUND(AVG(amount)OVERw3h,2)ASh3_amount_avg, FIRST_VALUE(amount)OVERw3hASh3_amount_first, LAST_VALUE(amount)OVERw3hASh3_amount_last, MAX(amount)OVERw3hASh3_amount_max, MIN(amount)OVERw3hASh3_amount_min, * FROMsample_01 WINDOW w1hAS(PARTITIONBYcard_numORDERBYtraded_atRANGEBETWEEN'30 minutes...
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。 SUM (drug_psn_cnt) OVER () as "所有性别人数总和", --"所有性别人数总和" , round(drug_psn_cnt/round( sum(drug_psn_cnt) over (partition by gend),4)*100,4)||'%' "各个药品分类占...
<窗口函数> over (partition <用于分组的列名> order by <用于排序的列名>) 1. 2. 2.其他专用窗口函数 专用窗口函数rank, dense_rank, row_number有什么区别呢? select * , rank() over (order by 成绩 desc) as rank, dense_rank() over (order by 成绩 desc) as dense_rank, row_number() over...
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 by ... order by ...) ...
其中,window_function 是窗口函数的名称;expression 是参数,有些函数不需要参数;OVER子句包含三个选项:分区(PARTITION BY)、排序(ORDER BY)以及窗口大小(frame_clause)。 分区选项(PARTITION BY) PARTITION BY选项用于定义分区,作用类似于GROUP BY的分组。如果指定了分区选项,窗口函数将会分别针对每个分区单独进行分析;如...
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...
channel,day_sum,sum(caseproduct when'产品1'then amount end)asc1,sum(caseproduct when'产品2'then amount end)asc2,sum(caseproduct when'产品3'then amount end)asc3from(select*,sum(amount)over(partition by channel)asday_sum from report1 where date=to_date('2021-05-04','yyyy-MM-dd'))ast...
OVER ([PARTITION BY <列清单>] ORDER BY <排序用列清单>) over:窗口函数关键字 partition by:对结果集进行分组 order by:设定结果集的分组数据排序 聚合函数:聚合函数(SUM、AVG、COUNT、MAX、MIN) 内置函数:rank、dense_rank、row_number、percent_rank、grouping sets、first_value、last_value、nth_value等专...
Sum(columnno) over(Partition By prtno,warno Order By wardate Desc,substr(invtranno,instr(invtranno,'0'))desc,Rowid Desc ) n From v_prtio) Where n = 1 --查找流水错误(当前库存数量与台帐不一致) Select a.prtno,invtranno From (Select invtranno, prtno,warno,qtyonhand From t_prtio ...