在SQL中计算年初至数字的周期值

问题描述 投票:1回答:6

我已经为每个时期累积了年初至今的值。但我需要每个产品组/期间的定期值。

您是否知道SQL Server中的解决方案以简单的方式实现此目的?

这是我的样本数据:

Product Group | Period | Amount
-------------------------------
Group 1       |2018/01 | 500
Group 1       |2018/02 | 740
Group 1       |2018/03 | 900
Group 1       |2018/04 | 930

结果应如下所示:

Product Group | Period | Amount
-------------------------------
Group 1       |2018/01 | 500
Group 1       |2018/02 | 240
Group 1       |2018/03 | 160
Group 1       |2018/04 | 30

谢谢你的帮助!菲利普

sql sql-server calculation accumulate periodicity
6个回答
0
投票

您可以像这样使用LAG函数:

SELECT [Product Group], Period,  
       Amount - LAG(Amount, 1,0) OVER (ORDER BY Period) AS Amount
FROM myTable 

1
投票

假设您不能使用LAG(例如MSSQL 2008)并且您可以为每个ProductGroup和Period创建多条记录,则可以使用以下查询。

样本表和值:

CREATE TABLE GR (Product_Group VARCHAR(10), Period VARCHAR(6), Amount INT);

INSERT INTO GR VALUES ('Group 1',  '201801', 500)
, ('Group 1',  '201802', 740)
,('Group 1',  '201803', 900)
,('Group 1',  '201804', 930)
;
INSERT INTO GR VALUES ('Group 2',  '201801', 500)
, ('Group 2',  '201803', 800)
,('Group 2',  '201803', 1000)
,('Group 2',  '201804', 1200)
;

查询使用GROUP BY(和CTE来简化读取)以对ProductGroup和Period进行分组,并使用RowNumber来查找以前的值(如果您有固定的时间段,即如果您希望显示每个月缺少月份值的记录,则可以使用理货日期表)

WITH X AS (SELECT  Product_Group, Period, SUM(Amount) AS Amount_TOT
            , ROW_NUMBER() OVER (PARTITION BY Product_Group ORDER BY PERIOD) AS RN
            FROM GR GROUP BY Product_group, Period)  
SELECT Product_Group, Period, Amount_TOT,  Amount_TOT_PREC, Amount_TOT-ISNULL(Amount_TOT_PREC,0) AS Delta 
FROM (SELECT  A.Product_Group, A.Period, A.Amount_TOT, B.Amount_TOT AS Amount_TOT_PREC       
        FROM X A
        LEFT JOIN X B ON A.Product_Group=B.Product_Group AND A.RN-1 = B.RN
        ) C 

产量

+---------------+--------+------------+-----------------+-------+
| Product_Group | Period | Amount_TOT | Amount_TOT_PREC | Delta |
+---------------+--------+------------+-----------------+-------+
| Group 1       | 201801 |        500 | NULL            |   500 |
| Group 1       | 201802 |        740 | 500             |   240 |
| Group 1       | 201803 |        900 | 740             |   160 |
| Group 1       | 201804 |        930 | 900             |    30 |
| Group 2       | 201801 |        500 | NULL            |   500 |
| Group 2       | 201803 |       1800 | 500             |  1300 |
| Group 2       | 201804 |       1200 | 1800            |  -600 |
+---------------+--------+------------+-----------------+-------+

使用LAG(此函数返回先前记录的值,请检查Microsoft文档)更快,更易读:

WITH X AS (SELECT Product_Group, Period
                  , SUM(Amount) AS Amount_TOT           
            FROM GR GROUP BY Product_group, Period)  
SELECT Product_Group, Period, Amount_TOT, AMOUNT_PREC
       , Amount_TOT-ISNULL(AMOUNT_PREC,0) AS Delta 
FROM (SELECT  Product_Group, Period, Amount_TOT 
              , LAG(Amount_TOT) OVER (PARTITION BY Product_Group 
                 ORDER BY PERIOD) AS AMOUNT_PREC     
        FROM X) A;

与上面相同的输出


0
投票

希望这可以帮助:

Select 
ProductGroup, 
Period, 
Amount = Amount-ISNULL((Select Amount from TempTable where Period = (select max(Period) from TempTable where Period < Main.Period)),0)
From TempTable Main
Order by Period

我假设Period是日期时间类型(2018-01-01)


0
投票

我希望它会对你有所帮助。

WITH CTE AS (
SELECT
rownum = ROW_NUMBER() OVER (ORDER BY t.[Product Group],t.[Period]),
t.*
FROM YourTbl AS t
)

SELECT CTE.[Product Group],CTE.Period,-1*(ISNULL(prev.Amount,0)-CTE.Amount) AS Amount 
FROM CTE
LEFT JOIN CTE prev ON prev.rownum = CTE.rownum - 1

0
投票

我会用lag()函数:

select [Product Group], Period,  
       Amount - LAG(Amount, 1,0) OVER (ORDER BY Period) AS Amount
from table t'

如果你有旧版本的SQL,那么你也可以使用apply

select t.product, t.period, coalesce(t.amount-t1.amount, t.amount) as amount
from table t outer apply
     ( select top (1) t1.*
       from table t1
       where t1.product = t.product and 
             t1.period < t.period
             order by t1.period desc
     ) t1;

0
投票

查询中的一个小变化

SELECT [ProductGroup], Period,  
      Amount- LAG(Amount, 1,0) OVER (ORDER BY Period)   AS Amount
FROM tablename
© www.soinside.com 2019 - 2024. All rights reserved.