这与此处的其他一些问题类似但不够接近我自己有所有信息。我希望使用年限限制日期范围。我不确定他们目前是如何限制数据的，也许是现在一年之前的一年。
我希望一周的开始日是星期一，结束星期日。这些天之间的任何数量，以每个reftype的周数相加，并显示为从星期一开始的日期。
我的数据如下。
+---------+---------+------------------+-------------------------+------------------------+
| Itemid | RefType | name | OriginalReqDate | Qty |
+---------+---------+------------------+-------------------------+------------------------+
| B406227 | 8 | Purchase order | 2016-03-04 00:00:00.000 | 2346.0000000000000000 |
+---------+---------+------------------+-------------------------+------------------------+
| B406227 | 12 | Production order | 2016-03-04 00:00:00.000 | -1295.4000000000000000 |
+---------+---------+------------------+-------------------------+------------------------+
| B406227 | 12 | Production order | 2016-03-07 00:00:00.000 | -3651.6000000000000000 |
+---------+---------+------------------+-------------------------+------------------------+
| B406227 | 8 | Purchase order | 2016-03-11 00:00:00.000 | 4692.0000000000000000 |
+---------+---------+------------------+-------------------------+------------------------+
| B406227 | 12 | Production order | 2016-03-14 00:00:00.000 | -1397.4000000000000000 |
+---------+---------+------------------+-------------------------+------------------------+
| B406227 | 12 | Production order | 2016-03-21 00:00:00.000 | -958.8000000000000000 |
+---------+---------+------------------+-------------------------+------------------------+
| B406227 | 45 | Formula line | 2016-03-28 00:00:00.000 | -696.1700000000000000 |
+---------+---------+------------------+-------------------------+------------------------+
| B406227 | 45 | Formula line | 2016-04-03 00:00:00.000 | -527.5500000000000000 |
+---------+---------+------------------+-------------------------+------------------------+
| B406227 | 8 | Purchase order | 2016-04-07 00:00:00.000 | 7038.0000000000000000 |
+---------+---------+------------------+-------------------------+------------------------+
| B406227 | 45 | Formula line | 2016-04-07 00:00:00.000 | -1186.5500000000000000 |
+---------+---------+------------------+-------------------------+------------------------+
我想输出
+---------+---------+------------------------+------------------------+------------------------+------------------------+-----------------------+-----------------------+
| ItemId | RefType | Name | 2016-03-04 | 2016-03-11 | 2016-03-18 | 2016-03-25 | 2016-04-01 |
+---------+---------+------------------------+------------------------+------------------------+------------------------+-----------------------+-----------------------+
| B406227 | 1 | On-hand | 470.7600000000000000 | NULL | NULL | NULL | NULL |
+---------+---------+------------------------+------------------------+------------------------+------------------------+-----------------------+-----------------------+
| B406227 | 8 | Purchase order | 2346.0000000000000000 | 4692.0000000000000000 | NULL | NULL | NULL |
+---------+---------+------------------------+------------------------+------------------------+------------------------+-----------------------+-----------------------+
| B406227 | 12 | Production order | -1295.4000000000000000 | -3651.6000000000000000 | -1397.4000000000000000 | -958.8000000000000000 | NULL |
+---------+---------+------------------------+------------------------+------------------------+------------------------+-----------------------+-----------------------+
| B406227 | 33 | Planned purchase order | NULL | NULL | NULL | NULL | NULL |
+---------+---------+------------------------+------------------------+------------------------+------------------------+-----------------------+-----------------------+
| B406227 | 45 | Formula line | NULL | NULL | NULL | NULL | -696.1700000000000000 |
+---------+---------+------------------------+------------------------+------------------------+------------------------+-----------------------+-----------------------+
| B406227 | 99 | Total for B406227 | 1992.1200000000000000 | 2561.7600000000000000 | 1164.3600000000000000 | 205.5600000000000000 | -490.6100000000000000 |
+---------+---------+------------------------+------------------------+------------------------+------------------------+-----------------------+-----------------------+
这是我的尝试：
IF OBJECT_ID('tt', 'U') IS NOT NULL
DROP TABLE tt;
DECLARE @Columns NVARCHAR(MAX);
DECLARE @SQL NVARCHAR(MAX);
SELECT @Columns = COALESCE(@Columns + ',', '') + QUOTENAME(ReqDate)
FROM ( SELECT DISTINCT
CAST(ReqDate AS DATE) AS ReqDate
FROM SourceTable
) AS A
ORDER BY A.ReqDate;
SET @SQL = 'WITH PivotData AS (SELECT DataAreaId, ItemId, RefType, Name, ReqDate, Qty
FROM SourceTable)
SELECT DataAreaId, ItemId, RefType, Name ' + @Columns + '
INTO tt
FROM PivotData
PIVOT
(SUM(Qty)
FOR ReqDate IN (' + @Columns + ')
) AS PivotResult ORDER BY DataAreaId, ItemId, RefType';
EXEC (@SQL);
IF OBJECT_ID('adhoc.V_tt', 'V') IS NOT NULL
DROP VIEW adhoc.V_tt;
GO
CREATE VIEW adhoc.V_tt
AS
( SELECT *
FROM tt
);
答案 0 :(得分：2)
通过这个，您可以在星期日动态指向列标题...
注意：根据您的系统文化，您可能需要查看SET DATEFIRST和@@DATEFIRST ...
CREATE TABLE #TestTbl(Itemid VARCHAR(100),RefType INT,name VARCHAR(100),OriginalReqDate DATETIME,Qty DECIMAL(8,2));
INSERT INTO #TestTbl VALUES
('B406227',8,'Purchase order','2016-03-04T00:00:00.000',2346.0000000000000000)
,('B406227',12,'Production order','2016-03-04T00:00:00.000',-1295.4000000000000000)
,('B406227',12,'Production order','2016-03-07T00:00:00.000',-3651.6000000000000000)
,('B406227',8,'Purchase order','2016-03-11T00:00:00.000',4692.0000000000000000)
,('B406227',12,'Production order','2016-03-14T00:00:00.000',-1397.4000000000000000)
,('B406227',12,'Production order','2016-03-21T00:00:00.000',-958.8000000000000000)
,('B406227',45,'Formula line','2016-03-28T00:00:00.000',-696.1700000000000000)
,('B406227',45,'Formula line','2016-04-03T00:00:00.000',-527.5500000000000000)
,('B406227',8,'Purchase order','2016-04-07T00:00:00.000',7038.0000000000000000)
,('B406227',45,'Formula line','2016-04-07T00:00:00.000',-1186.5500000000000000);
DECLARE @colNames VARCHAR(MAX)=
STUFF
(
(
SELECT DISTINCT ',[' + CONVERT(VARCHAR(10),DATEADD(DAY,DATEPART(DW,OriginalReqDate) * (-1),OriginalReqDate),120) + ']'
FROM #TestTbl
FOR XML PATH('')
),1,1,''
);
DECLARE @cmd VARCHAR(MAX)=
'
SELECT p.*
FROM
(
SELECT tt.Itemid
,tt.RefType
,tt.name
,SUM(Qty) AS SumQty
,CONVERT(VARCHAR(10),DATEADD(DAY,DATEPART(DW,OriginalReqDate) * (-1),OriginalReqDate),120) AS ColumName
FROM #TestTbl AS tt
GROUP BY ItemId,RefType,name,CONVERT(VARCHAR(10),DATEADD(DAY,DATEPART(DW,OriginalReqDate) * (-1),OriginalReqDate),120)
) AS tbl
PIVOT
(
SUM(SumQty) FOR ColumName IN(' + @colNames + ')
) AS p
';
EXEC (@cmd);
DROP TABLE #TestTbl;
结果：
Itemid RefType name 2016-02-28 2016-03-06 2016-03-13 2016-03-20 2016-03-27 2016-04-03
B406227 8 Purchase order 2346.00 4692.00 NULL NULL NULL 7038.00
B406227 12 Production order -1295.40 -3651.60 -1397.40 -958.80 NULL NULL
B406227 45 Formula line NULL NULL NULL NULL -1223.72 -1186.55
这是给定样本数据的硬编码方法。如果您希望列可以获得2016-03-04这样的标题，您可以考虑使用动态SQL，或者为正确的输出创建columnName（以及IN() list）。
CREATE TABLE #TestTbl(Itemid VARCHAR(100),RefType INT,name VARCHAR(100),OriginalReqDate DATETIME,Qty DECIMAL(8,2));
INSERT INTO #TestTbl VALUES
('B406227',8,'Purchase order','2016-03-04T00:00:00.000',2346.0000000000000000)
,('B406227',12,'Production order','2016-03-04T00:00:00.000',-1295.4000000000000000)
,('B406227',12,'Production order','2016-03-07T00:00:00.000',-3651.6000000000000000)
,('B406227',8,'Purchase order','2016-03-11T00:00:00.000',4692.0000000000000000)
,('B406227',12,'Production order','2016-03-14T00:00:00.000',-1397.4000000000000000)
,('B406227',12,'Production order','2016-03-21T00:00:00.000',-958.8000000000000000)
,('B406227',45,'Formula line','2016-03-28T00:00:00.000',-696.1700000000000000)
,('B406227',45,'Formula line','2016-04-03T00:00:00.000',-527.5500000000000000)
,('B406227',8,'Purchase order','2016-04-07T00:00:00.000',7038.0000000000000000)
,('B406227',45,'Formula line','2016-04-07T00:00:00.000',-1186.5500000000000000);
SELECT p.*
FROM
(
SELECT tt.Itemid
,tt.RefType
,tt.name
,SUM(Qty) AS SumQty
,'w' + CAST(DATEPART(WEEK,OriginalReqDate) AS VARCHAR(MAX)) AS ColumName
FROM #TestTbl AS tt
GROUP BY ItemId,RefType,name,DATEPART(WEEK,OriginalReqDate)
) AS tbl
PIVOT
(
SUM(SumQty) FOR ColumName IN(w10,w11,w12,w13,w14,w15)
) AS p
DROP TABLE #TestTbl;
结果：
Itemid RefType name w10 w11 w12 w13 w14 w15
B406227 8 Purchase order 2346.00 4692.00 NULL NULL NULL 7038.00
B406227 12 Production order -1295.40 -3651.60 -1397.40 -958.80 NULL NULL
B406227 45 Formula line NULL NULL NULL NULL -1223.72 -1186.55
答案 1 :(得分：-1)
这是我的尝试......
IF OBJECT_ID('tt', 'U') IS NOT NULL
DROP TABLE tt;
DECLARE @Columns NVARCHAR(MAX);
DECLARE @SQL NVARCHAR(MAX);
SELECT @Columns = COALESCE(@Columns + ',', '') + QUOTENAME(ReqDate)
FROM ( SELECT DISTINCT
CAST(ReqDate AS DATE) AS ReqDate
FROM SourceTable
) AS A
ORDER BY A.ReqDate;
SET @SQL = 'WITH PivotData AS (SELECT DataAreaId, ItemId, RefType, Name, ReqDate, Qty
FROM SourceTable)
SELECT DataAreaId, ItemId, RefType, Name ' + @Columns + '
INTO tt
FROM PivotData
PIVOT
(SUM(Qty)
FOR ReqDate IN (' + @Columns + ')
) AS PivotResult ORDER BY DataAreaId, ItemId, RefType';
EXEC (@SQL);
IF OBJECT_ID('adhoc.V_tt', 'V') IS NOT NULL
DROP VIEW adhoc.V_tt;
GO
CREATE VIEW adhoc.V_tt
AS
( SELECT *
FROM tt
);