我正在使用SQL Server 2005。
假设我有一个产品表和另一个价格表,以便我可以跟踪价格随时间的变化。我需要一个查询来获取不同的产品(简单部分)以及每个产品的最新价格和更改日期。
产品表:
CREATE TABLE [dbo].[Products](
[ID] [int] IDENTITY(1,1) NOT NULL,
[Name] [varchar](50) NOT NULL,
[Price] [money] NOT NULL,
CONSTRAINT [PK_Products] PRIMARY KEY CLUSTERED
( [ID] ASC )
) ON [PRIMARY]
GO
INSERT INTO Products (Name, Price) VALUES ('Hat', 10);
INSERT INTO Products (Name, Price) VALUES ('Shirt', 15);
INSERT INTO Products (Name, Price) VALUES ('Pants', 20);
INSERT INTO Products (Name, Price) VALUES ('Coat', 25);
INSERT INTO Products (Name, Price) VALUES ('Shoes', 30);
PriceChanges表:
CREATE TABLE [dbo].[PriceChanges](
[ID] [int] IDENTITY(1,1) NOT NULL,
[ProductId] [int] NOT NULL,
[Price] [money] NOT NULL,
[PriceChanged] [datetime] NOT NULL,
CONSTRAINT [PK_PriceChanges] PRIMARY KEY CLUSTERED
( [ID] ASC )
) ON [PRIMARY]
GO
INSERT INTO PriceChanges (ProductId, Price, PriceChanged) VALUES (1, 9.65, '1/1/2010');
INSERT INTO PriceChanges (ProductId, Price, PriceChanged) VALUES (1, 10.10, '1/2/2010');
INSERT INTO PriceChanges (ProductId, Price, PriceChanged) VALUES (1, 11.50, '1/3/2010');
INSERT INTO PriceChanges (ProductId, Price, PriceChanged) VALUES (2, 15.50, '1/4/2010');
INSERT INTO PriceChanges (ProductId, Price, PriceChanged) VALUES (2, 15.65, '1/5/2010');
INSERT INTO PriceChanges (ProductId, Price, PriceChanged) VALUES (3, 19.95, '1/6/2010');
INSERT INTO PriceChanges (ProductId, Price, PriceChanged) VALUES (4, 24.95, '1/7/2010');
这是一个返回太多的查询:
SELECT
p.ID ProductId,
p.Name,
COALESCE(c.Price, p.Price) Price,
c.PriceChanged
FROM dbo.Products AS p LEFT JOIN
dbo.PriceChanges AS c ON c.ProductId = p.ID
返回:
1 Hat 9.65 2010-01-01 00:00:00.000
1 Hat 10.10 2010-01-02 00:00:00.000
1 Hat 11.50 2010-01-03 00:00:00.000
2 Shirt 15.50 2010-01-04 00:00:00.000
2 Shirt 15.65 2010-01-05 00:00:00.000
3 Pants 19.95 2010-01-06 00:00:00.000
4 Coat 24.95 2010-01-07 00:00:00.000
5 Shoes 30.00 NULL
我需要它返回的是:
1 Hat 11.50 2010-01-03 00:00:00.000
2 Shirt 15.65 2010-01-05 00:00:00.000
3 Pants 19.95 2010-01-06 00:00:00.000
4 Coat 24.95 2010-01-07 00:00:00.000
5 Shoes 30.00 NULL
此查询有效,但它有两个嵌套选择,它会让全世界的DBA哭泣:
SELECT
p.ID ProductId,
p.Name,
COALESCE((SELECT TOP 1 Price FROM dbo.PriceChanges WHERE ProductId = p.ID ORDER BY PriceChanged DESC), p.Price) Price,
(SELECT TOP 1 PriceChanged FROM dbo.PriceChanges WHERE ProductId = p.ID ORDER BY PriceChanged DESC) PriceChanged
FROM dbo.Products AS p
有什么更好的方法可以做到这一点?
答案 0 :(得分:4)
使用:
SELECT p.id AS productid,
p.name,
COALESCE(x.price, p.price) AS price,
x.pricechanged
FROM dbo.PRODUCTS p
LEFT JOIN (SELECT pc.productid,
pc.price,
pc.pricechanged,
ROW_NUMBER() OVER(PARTITION BY pc.productid
ORDER BY pc.pricechanged DESC) AS rownum
FROM dbo.PRICECHANGES pc) x ON x.productid = p.id
AND x.rownum = 1
答案 1 :(得分:4)
它比[OMG Ponies]快2倍,比你的快20倍(根据这个数据)
select
p.ID ProductId
,p.Name
,COALESCE(b.Price, p.Price) Price
,b.PriceChanged
from dbo.Products AS p
LEFT JOIN
(
select
a.ProductId
,a.PriceChanged
,pc2.Price
from
(
select
pc1.ProductId
,MAX(pc1.PriceChanged) as PriceChanged
from dbo.PriceChanges pc1
group by pc1.ProductId
) a
inner join dbo.PriceChanges pc2
on (a.PriceChanged = pc2.PriceChanged and a.ProductId = pc2.ProductId)
) b
ON b.ProductId = p.ID