[英]Rolling 12 month Sum in PostgreSQL
我需要能够使用SQL(PostgreSQL)创建“过去十二个月”报告-本质上是一个窗口/滚动12个月的总和,该总和应合当前月的总和加上每个月的前11个月。
我有这张桌子:
CREATE TABLE order_test(
order_id text,
sale_date date,
delivery_date date,
customer_id text,
vendor_id text,
order_total float);
具有以下值:
insert into order_test
values ('1', '2016-06-01', '2016-06-10', '2', '3', 200.10),
('2', '2016-06-02', '2016-06-11', '2', '4', 150.50),
('3', '2016-07-02', '2016-07-11', '5', '4', 100.50),
('4', '2016-07-02', '2016-07-11', '1', '4', 150.50),
('5', '2016-07-02', '2016-07-11', '1', '4', 150.50),
('6', '2016-08-02', '2016-08-11', '6', '4', 300.50),
('7', '2016-08-02', '2016-08-11', '6', '4', 150.50),
('8', '2016-09-02', '2016-09-11', '1', '4', 150.50),
('9', '2016-10-02', '2016-10-11', '1', '4', 150.50),
('10', '2016-11-02', '2016-11-11', '1', '4', 150.50),
('11', '2016-12-02', '2016-12-11', '6', '4', 150.50),
('12', '2017-01-02', '2017-01-11', '7', '4', 150.50),
('13', '2017-01-02', '2017-01-11', '1', '4', 150.50),
('14', '2017-01-02', '2017-01-11', '1', '4', 100.50),
('15', '2017-02-02', '2017-02-11', '1', '4', 150.50),
('16', '2017-02-02', '2017-02-11', '1', '4', 150.50),
('17', '2017-03-02', '2017-03-11', '2', '4', 150.50),
('18', '2017-03-02', '2017-03-11', '2', '4', 150.50),
('19', '2017-04-02', '2017-04-11', '6', '4', 120.50),
('20', '2017-05-02', '2017-05-11', '1', '4', 150.50),
('21', '2017-06-02', '2017-06-11', '2', '4', 150.50),
('22', '2017-06-02', '2017-06-11', '1', '4', 130.50),
('23', '2017-07-02', '2017-07-11', '1', '4', 150.50),
('24', '2017-07-02', '2017-07-11', '5', '4', 200.50),
('25', '2017-08-02', '2017-08-11', '1', '4', 150.50),
('26', '2017-09-02', '2017-09-11', '2', '4', 100.50),
('27', '2017-09-02', '2017-10-11', '1', '4', 150.50);
这些是个人销售。 对于每个月,我需要前11个月+该月的总计(销售月)。
我已经尝试过像这样的窗口计算:
select date_trunc('month', sale_date) as sale_month,
sum(order_total) over w as total_sales
from order_test
where (delivery_date < current_date) and
(sale_date >= (date_trunc('month', current_date) - interval '1 year'))
window w as (Partition by date_trunc('month', sale_date)
order by sale_date
rows between current row and 11 following)
但这给了我:
sale_month total_sales
1 01.09.2016 00:00:00 150,5
2 01.10.2016 00:00:00 150,5
3 01.11.2016 00:00:00 150,5
4 01.12.2016 00:00:00 150,5
5 01.01.2017 00:00:00 401,5
6 01.01.2017 00:00:00 251
7 01.01.2017 00:00:00 100,5
8 01.02.2017 00:00:00 301
9 01.02.2017 00:00:00 150,5
10 01.03.2017 00:00:00 301
11 01.03.2017 00:00:00 150,5
12 01.04.2017 00:00:00 120,5
13 01.05.2017 00:00:00 150,5
14 01.06.2017 00:00:00 281
15 01.06.2017 00:00:00 130,5
16 01.07.2017 00:00:00 351
17 01.07.2017 00:00:00 200,5
18 01.08.2017 00:00:00 150,5
19 01.09.2017 00:00:00 100,5
每月应该只有一行。
在内部查询派生表中,您需要使用date_trunc
将Sale_Date
列截断为month
精度,然后对结果列进行group by
以获取Month_total
销售额,然后在外部查询中,对month_total
排序的Sale_Month
销售数据使用累积窗口sum
函数以获得所需的结果结果如下。
SELECT sale_Month
,month_total
,sum(month_total) OVER (
ORDER BY sale_Month ASC rows BETWEEN 11 preceding
AND CURRENT row
) AS Sum_Series
FROM (
SELECT date_trunc('month', Sale_Date) AS Sale_Month
,sum(Order_Total) AS Month_Total
FROM order_test
GROUP BY 1
ORDER BY 1
) t
请注意, AND CURRENT row
是可选的,因为默认情况下累积窗口函数包括current
行,因此可以按以下方式重写查询。
SELECT sale_Month
,month_total
,sum(month_total) OVER (
ORDER BY sale_Month ASC rows 11 preceding
) AS Sum_Series
FROM (
SELECT date_trunc('month', Sale_Date) AS Sale_Month
,sum(Order_Total) AS Month_Total
FROM order_test
GROUP BY 1
ORDER BY 1
) t
Result:
sale_month month_total sum_series
----------------------------------------------
2016-06-01T00:00:00Z 350.6 350.6
2016-07-01T00:00:00Z 401.5 752.1
2016-08-01T00:00:00Z 451 1203.1
2016-09-01T00:00:00Z 150.5 1353.6
2016-10-01T00:00:00Z 150.5 1504.1
2016-11-01T00:00:00Z 150.5 1654.6
2016-12-01T00:00:00Z 150.5 1805.1
2017-01-01T00:00:00Z 401.5 2206.6
2017-02-01T00:00:00Z 301 2507.6
2017-03-01T00:00:00Z 301 2808.6
2017-04-01T00:00:00Z 120.5 2929.1
2017-05-01T00:00:00Z 150.5 3079.6
2017-06-01T00:00:00Z 281 3010
2017-07-01T00:00:00Z 351 2959.5
2017-08-01T00:00:00Z 150.5 2659
2017-09-01T00:00:00Z 251 2759.5
您可以在此处查看演示
如果我理解正确,则希望所有月份都具有过去11个月的累积数据。 但是前11行没有前面的11个条目来计算滚动总和。 但是您已经提到,所有月份都应该具有累计总数。 因此,我相信您正在寻找类似的东西。
with x as (
select date_trunc('month', sale_date) as sale_month,sum(order_total) as monthly_order_total from order_test
group by 1 order by 1 asc)
select sale_month, monthly_order_total,
sum(monthly_order_total ) over (order by sale_month asc rows between 11 preceding and current row)
from x
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