我有如下表格:
Region Country Manufacturer Brand Period Spend
R1 C1 M1 B1 2016 5
R1 C1 M1 B1 2017 10
R1 C1 M1 B1 2017 20
R1 C1 M1 B2 2016 15
R1 C1 M1 B3 2017 20
R1 C2 M1 B1 2017 5
R1 C2 M2 B4 2017 25
R1 C2 M2 B5 2017 30
R2 C3 M1 B1 2017 35
R2 C3 M2 B4 2017 40
R2 C3 M2 B5 2017 45
我需要在不同的组中找到 SUM([Spend]
,如下所示:
- 整个表中所有行的总支出
- 每个地区 的总支出
- 每个地区和国家组的总支出
- 每个地区、国家和广告商组的总支出
所以我在下面写了这个查询:
SELECT
[Period]
,[Region]
,[Country]
,[Manufacturer]
,[Brand]
,SUM([Spend]) OVER (PARTITION BY [Period]) AS [SumOfSpendWorld]
,SUM([Spend]) OVER (PARTITION BY [Period], [Region]) AS [SumOfSpendRegion]
,SUM([Spend]) OVER (PARTITION BY [Period], [Region], [Country]) AS [SumOfSpendCountry]
,SUM([Spend]) OVER (PARTITION BY [Period], [Region], [Country], [Manufacturer]) AS [SumOfSpendManufacturer]
FROM myTable
但是对于只有 45 万行的表,该查询需要 >15 分钟。我想知道是否有任何方法可以优化此性能。预先感谢您的回答/建议!
最佳答案
你对问题的描述向我建议grouping sets
:
SELECT YEAR([Period]) AS [Period], [Region], [Country], [Manufacturer],
SUM([Spend])
GROUP BY GROUPING SETS ( (YEAR([Period]),
(YEAR([Period]), [Region]),
(YEAR([Period]), [Region], [Country]),
(YEAR([Period]), [Region], [Country], [Manufacturer])
);
我不知道这是否会更快,但它肯定看起来更符合您的问题。
关于sql - 为多个分层组优化 SUM OVER PARTITION BY,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/50516844/