SQL Server 2008 R2 – 计算引用上一行

我期待devise一个查询，其中计算将单元格中的值与同一列中的前一个单元格中的值进行比较，而另一个计算使用先前的计算结果来引用前一个单元格以进行计算。 数据将按照下面的示例图像 – 材料，工厂和年周

示例数据图像

从下图中，蓝色列标题代表原始数据，黄色列标题代表计算行。

计算行的公式如下：

• 第一？ = IF（AND（B2 = B1，C2 = C1），“否”，“第一”）
• 实际可用= IF（F2 =“第一”，D2-E2，G1-E2）

从我的调查来看，LEAD和LAG函数可以帮助完成这个任务，但由于我仅限于SQL Server 2008 R2，因此无法使用它们。 请find查询来创build表。

CREATE TABLE ZDAYS ([YearWeek] VARCHAR(7), [Material] VARCHAR(3), [Plant] VARCHAR(3), [Inventory] INT, [Demand] INT) INSERT INTO ZDAYS VALUES ('2015-42', 'ABC', '101', 20, 5) INSERT INTO ZDAYS VALUES ('2015-43', 'ABC', '101', 20, 3) INSERT INTO ZDAYS VALUES ('2015-44', 'ABC', '101', 20, 2) INSERT INTO ZDAYS VALUES ('2015-42', 'ABC', '201', 30, 10) INSERT INTO ZDAYS VALUES ('2015-43', 'ABC', '201', 30, 8) INSERT INTO ZDAYS VALUES ('2015-44', 'ABC', '201', 30, 4) INSERT INTO ZDAYS VALUES ('2015-42', 'XYZ', '101', 10, 3) INSERT INTO ZDAYS VALUES ('2015-43', 'XYZ', '101', 10, 2) INSERT INTO ZDAYS VALUES ('2015-44', 'XYZ', '201', 20, 4) 

最终数据输出

  YearWeek Material Plant Inventory Demand First? Actual Available 2015-42 ABC 101 20 5 First 15 2015-43 ABC 101 20 3 No 12 2015-44 ABC 101 20 2 No 10 2015-42 ABC 201 30 10 First 20 2015-43 ABC 201 30 8 No 12 2015-44 ABC 201 30 4 No 8 2015-42 XYZ 101 10 3 First 7 2015-43 XYZ 101 10 2 No 5 2015-44 XYZ 201 20 4 First 16 

Answer 1

从以下答案中select“无连接且无分析function”

http://blog.sqlauthority.com/2011/11/24/sql-server-solution-to-puzzle-simulate-lead-and-lag-without-using-sql-server-2012-analytic-function/

 declare @ZDAYS TABLE ([YearWeek] VARCHAR(7), [Material] VARCHAR(3), [Plant] VARCHAR(3), [Inventory] INT, [Demand] INT) INSERT INTO @ZDAYS VALUES ('2015-42', 'ABC', '101', 20, 5) INSERT INTO @ZDAYS VALUES ('2015-43', 'ABC', '101', 20, 3) INSERT INTO @ZDAYS VALUES ('2015-44', 'ABC', '101', 20, 2) INSERT INTO @ZDAYS VALUES ('2015-42', 'ABC', '201', 30, 10) INSERT INTO @ZDAYS VALUES ('2015-43', 'ABC', '201', 30, 8) INSERT INTO @ZDAYS VALUES ('2015-44', 'ABC', '201', 30, 4) INSERT INTO @ZDAYS VALUES ('2015-42', 'XYZ', '101', 10, 3) INSERT INTO @ZDAYS VALUES ('2015-43', 'XYZ', '101', 10, 2) INSERT INTO @ZDAYS VALUES ('2015-44', 'XYZ', '201', 20, 4); WITH T1 (RowNum, UniqueID, YearWeek, Material, Plant, Inventory, Demand) AS (SELECT Row_Number() OVER(ORDER BY z.Material,z.Plant,z.YearWeek ) N ,1.0 + floor(10000 * RAND(convert(varbinary, newid()))) as UniqueID ,z.YearWeek ,z.Material ,z.Plant ,z.Inventory ,z.Demand FROM @ZDAYS z ) select T1.*, CASE WHEN RowNum%2=1 THEN MAX(CASE WHEN RowNum%2=0 THEN UniqueID END) OVER (Partition BY (RowNum+1)/2) ELSE MAX(CASE WHEN RowNum%2=1 THEN UniqueID END) OVER (Partition BY RowNum/2) END LeadValUniqueID, CASE WHEN RowNum%2=1 THEN MAX(CASE WHEN RowNum%2=0 THEN UniqueID END) OVER (Partition BY RowNum/2) ELSE MAX(CASE WHEN RowNum%2=1 THEN UniqueID END) OVER (Partition BY (RowNum+1)/2) END LagValUniqueID FROM T1 ORDER BY T1.Material, T1.Plant, T1.YearWeek GO 

或者，与Lead（）和Lag（）行相同的逻辑连接在一起进行标识，而不是生成唯一的标识。

 declare @ZDAYS TABLE ([YearWeek] VARCHAR(7), [Material] VARCHAR(3), [Plant] VARCHAR(3), [Inventory] INT, [Demand] INT) INSERT INTO @ZDAYS VALUES ('2015-42', 'ABC', '101', 20, 5) INSERT INTO @ZDAYS VALUES ('2015-43', 'ABC', '101', 20, 3) INSERT INTO @ZDAYS VALUES ('2015-44', 'ABC', '101', 20, 2) INSERT INTO @ZDAYS VALUES ('2015-42', 'ABC', '201', 30, 10) INSERT INTO @ZDAYS VALUES ('2015-43', 'ABC', '201', 30, 8) INSERT INTO @ZDAYS VALUES ('2015-44', 'ABC', '201', 30, 4) INSERT INTO @ZDAYS VALUES ('2015-42', 'XYZ', '101', 10, 3) INSERT INTO @ZDAYS VALUES ('2015-43', 'XYZ', '101', 10, 2) INSERT INTO @ZDAYS VALUES ('2015-44', 'XYZ', '201', 20, 4); -- LAG and LEAD result rows concatenated WITH T1 (RowNum, YearWeek, Material, Plant, Inventory, Demand) AS (SELECT Row_Number() OVER(ORDER BY z.Material,z.Plant,z.YearWeek ) N ,z.YearWeek ,z.Material ,z.Plant ,z.Inventory ,z.Demand FROM @ZDAYS z ) select T1.*, CASE WHEN RowNum%2=1 THEN MAX(CASE WHEN RowNum%2=0 THEN YearWeek + ' ' + Material + ' ' + Plant + ' ' + cast(Inventory as varchar(5)) + ' ' + cast(Demand as varchar(5)) END) OVER (Partition BY (RowNum+1)/2) ELSE MAX(CASE WHEN RowNum%2=1 THEN YearWeek + ' ' + Material + ' ' + Plant + ' ' + cast(Inventory as varchar(5)) + ' ' + cast(Demand as varchar(5)) END) OVER (Partition BY RowNum/2) END LeadRowValues, CASE WHEN RowNum%2=1 THEN MAX(CASE WHEN RowNum%2=0 THEN YearWeek + ' ' + Material + ' ' + Plant + ' ' + cast(Inventory as varchar(5)) + ' ' + cast(Demand as varchar(5)) END) OVER (Partition BY RowNum/2) ELSE MAX(CASE WHEN RowNum%2=1 THEN YearWeek + ' ' + Material + ' ' + Plant + ' ' + cast(Inventory as varchar(5)) + ' ' + cast(Demand as varchar(5)) END) OVER (Partition BY (RowNum+1)/2) END LagRowValues FROM T1 ORDER BY T1.Material, T1.Plant, T1.YearWeek GO 

Answer 2

在早期版本的SQL Server中，您可以使用apply ：

 select z.yearweek, z.material, z.plant, z.inventory, z.demand, (case when seqnum = 1 then 'Yes' else 'No' end) as isFirst, (inventory - cume.demand) as ActualAvailable from (select z.*, row_number() over (partition by material, plant order by yearweek) as seqnum from zdays z ) z outer apply (select sum(z2.demand) as demand from zdays z2 where z2.material = z.material and z2.plant = z.plant and z2.yearweek <= z.yearweek ) cume