如果其他地方已经解决了这个问题,请原谅,我检查过了,但不能为我工作。我对SQL Server不是很熟悉。
我想使用SQL Server计算我的表中1月至12月之间的指数百分比,表示为01、02、03。我已经使用Excel在Pct_Change列中添加了预期内容。见以下示例:
M Year Indices Pct_Change
01 2017 190.51
02 2017 188.99 -0.8
03 2017 190.06 0.6
04 2017 194.24 2.2
05 2017 196.83 1.3
06 2017 196.30 -0.3
07 2017 191.09 -2.7
08 2017 190.42 -0.3
09 2017 194.02 1.9
10 2017 201.20 3.7
11 2017 200.98 -0.1
12 2017 194.43 -3.3
01 2018 197.23 1.4
02 2018 198.20 0.5
03 2018 194.60 -1.8
任何帮助都将不胜感激。
由于缺乏预期结果,这只是一个猜测,但也许。。。
WITH VTE AS(
SELECT *
FROM (VALUES(01,2017,190.51),
(02,2017,188.99),
(03,2017,190.06),
(04,2017,194.24),
(05,2017,196.83),
(06,2017,196.30),
(07,2017,191.09),
(08,2017,190.42),
(09,2017,194.02),
(10,2017,201.20),
(11,2017,200.98),
(12,2017,194.43),
(01,2018,197.23),
(02,2018,198.20),
(03,2018,194.60)) V(M, [Year], Indices))
SELECT *,
(Indices / LAG(Indices) OVER (ORDER BY [Year] ASC, M ASC)) -1 AS Pct_change
FROM VTE;
编辑:不幸的是,OP正在使用2008R2。就我个人而言,我强烈建议考虑升级您的版本。SQL Server 2008(R2(现在只剩下不到一年的扩展支持时间了。之后,您将不会收到任何更新,包括安全更新。如果你需要符合GDPR,那么你必须改变。
无论如何,您可以在SQLServer2008R2中通过对同一个表使用LEFT JOIN
来实现这一点:
WITH VTE AS(
SELECT *
FROM (VALUES(01,2017,190.51),
(02,2017,188.99),
(03,2017,190.06),
(04,2017,194.24),
(05,2017,196.83),
(06,2017,196.30),
(07,2017,191.09),
(08,2017,190.42),
(09,2017,194.02),
(10,2017,201.20),
(11,2017,200.98),
(12,2017,194.43),
(01,2018,197.23),
(02,2018,198.20),
(03,2018,194.60)) V(M, [Year], Indices)),
--The solution. note that you would need your WITH on the next line
--Mine isn't, as I used a CTE to create the sample data.
RNs AS(
SELECT *,
ROW_NUMBER() OVER (ORDER BY [Year] ASC, M ASC) AS RN
FROM VTE)
SELECT R1.M,
R1.[Year],
R1.Indices,,
(R1.Indices / R2.Indices) -1 AS Pct_change
FROM RNs R1
LEFT JOIN RNs R2 ON R1.RN = R2.RN + 1;