我有一个如下表:
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
我需要找到SUM([Spend]
不同组的情况如下:
- 整个表中所有行的总支出
- 每人总支出Region
- 每人总支出地区和国家 group
- 每人总支出地区、国家和广告商 group
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
但对于只有 45 万行的表,该查询需要 15 分钟以上。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!