更新於2008年
IF OBJECT_ID('tempdb..#transfer') IS NOT NULL
DROP TABLE #transfer;
GO
CREATE TABLE #transfer (
RowID INT IDENTITY(1, 1) PRIMARY KEY NOT NULL,
Area INT,
Store INT,
Item INT,
Date DATE,
Type VARCHAR(50),
Qty INT,
Season VARCHAR(50),
FlagSeason INT
);
INSERT INTO #transfer (Area,
Store,
Item,
Date,
Type,
Qty,
Season,
FlagSeason
)
VALUES (1, 20, 300, '20150101', 'Purchase', 3, '2015-SpringSummer', 1),
(1, 20, 300, '20150601', 'Purchase', 4, '2016-SpringSummer', 1),
(1, 20, 300, '20150701', 'Sales', -1, NULL, NULL),
(1, 20, 300, '20150721', 'Sales', -2, NULL, NULL),
(1, 20, 300, '20150901', 'Sales', -1, NULL, NULL),
(1, 20, 300, '20160101', 'Sales', -1, NULL, NULL),
(1, 20, 300, '20170101', 'Purchase', 4, '2017-SpringSummer', 1),
(1, 20, 300, '20170125', 'Sales', -1, NULL, NULL),
(1, 20, 300, '20170201', 'Sales', -1, NULL, NULL),
(1, 20, 300, '20170225', 'Sales', -1, NULL, NULL),
(1, 21, 301, '20150801', 'Purchase', 4, '2017-SpringSummer', 1),
(1, 21, 301, '20150901', 'Sales', -1, NULL, NULL),
(1, 21, 301, '20151221', 'Sales', -2, NULL, NULL),
(1, 21, 302, '20150801', 'Purchase', 1, '2016-SpringSummer', 1),
(1, 21, 302, '20150901', 'Purchase', 1, '2017-SpringSummer', 1),
(1, 21, 302, '20151101', 'Sales', -1, NULL, NULL),
(1, 21, 302, '20151221', 'Sales', -1, NULL, NULL),
(1, 20, 302, '20150801', 'Purchase', 1, '2016-SpringSummer', 1),
(1, 20, 302, '20150901', 'Purchase', 1, '2017-SpringSummer', 1),
(1, 20, 302, '20151101', 'Sales', -1, NULL, NULL),
(1, 20, 302, '20151221', 'Sales', -1, NULL, NULL);
WITH Purchases
AS (SELECT t1.RowID,
t1.Area,
t1.Store,
t1.Item,
t1.Date,
t1.Type,
t1.Qty,
t1.Season,
RunningInventory = (SELECT SUM(t2.Qty)
FROM #transfer AS t2
WHERE t1.Type = t2.Type
AND t1.Area = t2.Area
AND t1.Store = t2.Store
AND t1.Item = t2.Item
AND t2.Date <= t1.Date
)
FROM #transfer AS t1
WHERE t1.Type = 'Purchase'
),
Sales
AS (SELECT t1.RowID,
t1.Area,
t1.Store,
t1.Item,
t1.Date,
t1.Type,
t1.Qty,
t1.Season,
RunningSales = (SELECT SUM(ABS(t2.Qty))
FROM #transfer AS t2
WHERE t1.Type = t2.Type
AND t1.Area = t2.Area
AND t1.Store = t2.Store
AND t1.Item = t2.Item
AND t2.Date <= t1.Date
)
FROM #transfer AS t1
WHERE t1.Type = 'Sales'
)
SELECT Sales.RowID,
Sales.Area,
Sales.Store,
Sales.Item,
Sales.Date,
Sales.Type,
Sales.Qty,
Season = (SELECT TOP 1
Purchases.Season
FROM Purchases
WHERE Purchases.Area = Sales.Area
AND Purchases.Store = Sales.Store
AND Purchases.Item = Sales.Item
AND Purchases.RunningInventory >= Sales.RunningSales
ORDER BY Purchases.Date, Purchases.Season
)
FROM Sales
UNION ALL
SELECT Purchases.RowID ,
Purchases.Area ,
Purchases.Store ,
Purchases.Item ,
Purchases.Date ,
Purchases.Type ,
Purchases.Qty ,
Purchases.Season
FROM Purchases
ORDER BY Sales.Area, Sales.Store, item, Sales.Date
*原來的答覆如下**
我不明白flagseason專欄的目的，所以我不包括運行。本質上，它會計算採購和銷售的運行總額，然後查找每個銷售交易具有至少sales_to_date流出的purchase_to_date庫存的季節。
IF OBJECT_ID('tempdb..#transfer') IS NOT NULL
DROP TABLE #transfer;
GO
CREATE TABLE #transfer (
RowID INT IDENTITY(1, 1) PRIMARY KEY NOT NULL,
Area INT,
Store INT,
Item INT,
Date DATE,
Type VARCHAR(50),
Qty INT,
Season VARCHAR(50),
FlagSeason INT
);
INSERT INTO #transfer (Area,
Store,
Item,
Date,
Type,
Qty,
Season,
FlagSeason
)
VALUES (1, 20, 300, '20150101', 'Purchase', 3, '2015-FallWinter', 1),
(1, 20, 300, '20150601', 'Purchase', 4, '2016-SpringSummer', 1),
(1, 20, 300, '20150701', 'Sales', -1, NULL, NULL),
(1, 20, 300, '20150721', 'Sales', -2, NULL, NULL),
(1, 20, 300, '20150901', 'Sales', -1, NULL, NULL),
(1, 20, 300, '20160101', 'Sales', -1, NULL, NULL),
(1, 20, 300, '20170101', 'Purchase', 4, '2016-FallWinter', 1),
(1, 20, 300, '20170201', 'Sales', -1, NULL, NULL);
WITH Inventory
AS (SELECT *,
PurchaseToDate = SUM(CASE WHEN Type = 'Purchase' THEN Qty ELSE 0 END) OVER (ORDER BY Date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW),
SalesToDate = ABS(SUM(CASE WHEN Type = 'Sales' THEN Qty ELSE 0 END) OVER (ORDER BY Date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW))
FROM #transfer
)
SELECT Inventory.RowID,
Inventory.Area,
Inventory.Store,
Inventory.Item,
Inventory.Date,
Inventory.Type,
Inventory.Qty,
Season = CASE
WHEN Inventory.Season IS NULL
THEN (SELECT TOP 1
PurchaseToSales.Season
FROM Inventory AS PurchaseToSales
WHERE PurchaseToSales.PurchaseToDate >= Inventory.SalesToDate
ORDER BY Inventory.Date
)
ELSE
Inventory.Season
END,
Inventory.PurchaseToDate,
Inventory.SalesToDate
FROM Inventory;
*更新*******************************
你需要一個索引在您的數據，以幫助排序，使其執行。
可能：
CREATE NONCLUSTERED INDEX IX_Transfer ON #transfer(Store, Item, Date) INCLUDE(Area,Qty,Season,Type)
您應該看到指定索引的索引掃描。它不會被查找，因爲示例查詢不會過濾任何數據，並且包含所有數據。
此外，您需要從SalesToDate的Partition By子句中刪除季節。重置每個季節的銷售數據會導致您的比較關閉，因爲需要將滾動銷售額與滾動庫存進行比較，以便確定銷售庫存來源。其他
兩個提示分區子句：
不要重複字段通過分區之間和秩序的。由於每個分區的聚合被重置，分區字段的順序並不重要。最好的情況是，有序分區字段將被忽略，最壞的情況是它可能會導致優化器以特定順序聚合字段。這對結果沒有任何影響，但可能會增加不必要的開銷。
確保您的索引與/ order by子句匹配分區的定義。
該索引應該是[分割字段，順序無關緊要] + [順序字段，順序需要按順序排列順序]。 在您的方案中，索引列應該位於商店，商品和日期。如果日期在商店或商品之前，則不會使用索引，因爲優化程序需要先按商店&項目處理分區，然後再按日期排序。
如果你可以在你的數據的多個區域，指數和分區的條款將需要
指標：區域，存儲，項目，日期
分區方式：區，商店，項目以便通過日期
提供您的表結構和示例數據作爲可運行腳本，您將很快得到答案。 –
謝謝韋斯你是對的。我已經包含了整個腳本。 – Thenoisemaker