Return 带数据透视表的多列
Return Multi-Column With Pivot Data
我有一个要求，我必须按月显示产品的总销售额，并使用 pivot 完美地做到了，如下所示：
SELECT *
FROM (SELECT m.ProductId [Product],
DATENAME(MONTH, m.OrderDate) [Month],
SUM(ISNULL(M.Quantity, 0)) [Sales]
FROM SampleOrders m
GROUP BY m.ProductId,
DATENAME(MONTH, m.OrderDate)) AS MontlySalesData
PIVOT( SUM([Sales])
FOR Month IN ([January],[February],[March],[April],[May],
[June],[July],[August],[September],[October],[November],
[December])) AS PivotData
输出:
Product January February March April May June July August September October November December
1001 NULL NULL NULL NULL 6 30 NULL NULL NULL NULL NULL NULL
1002 NULL NULL NULL NULL 14 6 NULL NULL NULL NULL NULL NULL
所以在 5 月和 6 月，数据按预期使用 OrderDate 列显示。但我还有另一个要求，我必须显示按月计算的库存以及来自另一个 table 的枢轴数据。为简单起见，我需要如下输出：
Product May May-Stock June June-Stock
1001 6 10 30 20
1002 14 6 6 10
我不确定如何实现这一点，如果我可以一次使用两个枢轴来获得结果，我会感到有些困惑。任何想法将不胜感激。
N.B：下面是带有样本数据table的模式
CREATE TABLE [dbo].[SampleOrders](
[Id] [int] IDENTITY(1,1) NOT NULL,
[ProductId] [int] NULL,
[OrderDate] [datetime] NULL,
[CustomerId] [int] NULL,
[Quantity] [float] NULL,
CONSTRAINT [PK_SampleOrders] PRIMARY KEY CLUSTERED
(
[Id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
Id ProductId OrderDate CustomerId Quantity
1 1001 2019-06-10 00:00:00.000 1 10
2 1001 2019-06-01 00:00:00.000 1 20
3 1002 2019-06-02 00:00:00.000 2 2
4 1002 2019-06-20 00:00:00.000 2 4
5 1001 2019-05-20 00:00:00.000 1 6
6 1002 2019-05-22 00:00:00.000 1 14
CREATE TABLE [dbo].[SampleStock](
[Id] [int] IDENTITY(1,1) NOT NULL,
[ProductId] [int] NULL,
[Quantity] [float] NULL,
[Status] [int] NULL,
[StockDate] [datetime] NULL,
CONSTRAINT [PK_SampleStock] PRIMARY KEY CLUSTERED
(
[Id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
Id ProductId Quantity Status StockDate
1 1001 20 1 2019-06-10 00:00:00.000
2 1002 10 1 2019-06-12 00:00:00.000
3 1001 10 1 2019-05-02 00:00:00.000
4 1002 4 2 2019-05-20 00:00:00.000
这可能有帮助
CREATE TABLE [dbo].[SampleOrders](
[Id] [int] IDENTITY(1,1) NOT NULL,
[ProductId] [int] NULL,
[OrderDate] [datetime] NULL,
[CustomerId] [int] NULL,
[Quantity] [float] NULL,
CONSTRAINT [PK_SampleOrders] PRIMARY KEY CLUSTERED
(
[Id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
CREATE TABLE [dbo].[SampleStock](
[Id] [int] IDENTITY(1,1) NOT NULL,
[ProductId] [int] NULL,
[Quantity] [float] NULL,
[Status] [int] NULL,
[StockDate] [datetime] NULL,
CONSTRAINT [PK_SampleStock] PRIMARY KEY CLUSTERED
(
[Id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
INSERT INTO SampleOrders(ProductId,OrderDate,CustomerId,Quantity) VALUES(1001,'2019-06-10 00:00:00.000', 1, 10)
INSERT INTO SampleOrders(ProductId,OrderDate,CustomerId,Quantity) VALUES(1001,'2019-06-01 00:00:00.000', 1, 20)
INSERT INTO SampleOrders(ProductId,OrderDate,CustomerId,Quantity) VALUES(1002,'2019-06-02 00:00:00.000', 2, 2 )
INSERT INTO SampleOrders(ProductId,OrderDate,CustomerId,Quantity) VALUES(1002,'2019-06-20 00:00:00.000', 2, 4 )
INSERT INTO SampleOrders(ProductId,OrderDate,CustomerId,Quantity) VALUES(1001,'2019-05-20 00:00:00.000', 1, 6 )
INSERT INTO SampleOrders(ProductId,OrderDate,CustomerId,Quantity) VALUES(1002,'2019-05-22 00:00:00.000', 1, 14)
GO
INSERT INTO SampleStock(ProductId,Quantity,Status,StockDate) VALUES (1001,20,1,'2019-06-10 00:00:00.000')
INSERT INTO SampleStock(ProductId,Quantity,Status,StockDate) VALUES (1002,10,1,'2019-06-12 00:00:00.000')
INSERT INTO SampleStock(ProductId,Quantity,Status,StockDate) VALUES (1001,10,1,'2019-05-02 00:00:00.000')
INSERT INTO SampleStock(ProductId,Quantity,Status,StockDate) VALUES (1002,6 ,2,'2019-05-20 00:00:00.000')
INSERT INTO SampleStock(ProductId,Quantity,Status,StockDate) VALUES (1003,4 ,2,'2019-05-20 00:00:00.000')
GO
SELECT * FROM SampleOrders
SELECT * FROM SampleStock
GO
-- DROP TABLE #MonthlySales
SELECT Product
,January as JanuarySales
,February as FebruarySales
,March as MarchSales
,April as AprilSales
,May as MaySales
,June as JuneSales
,July as JulySales
,August as AugustSales
,September as SeptemberSales
,October as OctoberSales
,November as NovemberSales
,December as DecemberSales
INTO #MonthlySales
FROM (SELECT m.ProductId [Product],
DATENAME(MONTH, m.OrderDate) [Month],
SUM(ISNULL(M.Quantity, 0)) [Sales]
FROM SampleOrders m
GROUP BY m.ProductId,
DATENAME(MONTH, m.OrderDate)) AS MontlySalesData
PIVOT( SUM([Sales])
FOR Month IN ([January],[February],[March],[April],[May],
[June],[July],[August],[September],[October],[November],
[December])) AS PivotData
GO
-- DROP TABLE #MonthlyStock
SELECT Product
,January as JanuaryStock
,February as FebruaryStock
,March as MarchStock
,April as AprilStock
,May as MayStock
,June as JuneStock
,July as JulyStock
,August as AugustStock
,September as SeptemberStock
,October as OctoberStock
,November as NovemberStock
,December as DecemberStock
INTO #MonthlyStock
FROM (SELECT m.ProductId [Product],
DATENAME(MONTH, m.StockDate) [Month],
SUM(ISNULL(M.Quantity, 0)) [Stock]
FROM SampleStock m
GROUP BY m.ProductId,
DATENAME(MONTH, m.StockDate)) AS MontlyStock
PIVOT( SUM([Stock])
FOR Month IN ([January],[February],[March],[April],[May],
[June],[July],[August],[September],[October],[November],
[December])) AS PivotData
GO
SELECT ISNULL(sl.Product,st.Product) as Product
,JanuarySales,JanuaryStock
,FebruarySales,FebruaryStock
,MarchSales,MarchStock
,AprilSales,AprilStock
,MaySales,MayStock
,JuneSales,JuneStock
,JulySales,JulyStock
,AugustSales,AugustStock
,SeptemberSales,SeptemberStock
,OctoberSales,OctoberStock
,NovemberSales,NovemberStock
,DecemberSales,DecemberStock
FROM #MonthlySales sl
FULL JOIN #MonthlyStock st ON sl.Product = st.Product
我有一个要求，我必须按月显示产品的总销售额，并使用 pivot 完美地做到了，如下所示：
SELECT *
FROM (SELECT m.ProductId [Product],
DATENAME(MONTH, m.OrderDate) [Month],
SUM(ISNULL(M.Quantity, 0)) [Sales]
FROM SampleOrders m
GROUP BY m.ProductId,
DATENAME(MONTH, m.OrderDate)) AS MontlySalesData
PIVOT( SUM([Sales])
FOR Month IN ([January],[February],[March],[April],[May],
[June],[July],[August],[September],[October],[November],
[December])) AS PivotData
输出:
Product January February March April May June July August September October November December
1001 NULL NULL NULL NULL 6 30 NULL NULL NULL NULL NULL NULL
1002 NULL NULL NULL NULL 14 6 NULL NULL NULL NULL NULL NULL
所以在 5 月和 6 月，数据按预期使用 OrderDate 列显示。但我还有另一个要求，我必须显示按月计算的库存以及来自另一个 table 的枢轴数据。为简单起见，我需要如下输出：
Product May May-Stock June June-Stock
1001 6 10 30 20
1002 14 6 6 10
我不确定如何实现这一点，如果我可以一次使用两个枢轴来获得结果，我会感到有些困惑。任何想法将不胜感激。
N.B：下面是带有样本数据table的模式
CREATE TABLE [dbo].[SampleOrders](
[Id] [int] IDENTITY(1,1) NOT NULL,
[ProductId] [int] NULL,
[OrderDate] [datetime] NULL,
[CustomerId] [int] NULL,
[Quantity] [float] NULL,
CONSTRAINT [PK_SampleOrders] PRIMARY KEY CLUSTERED
(
[Id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
Id ProductId OrderDate CustomerId Quantity
1 1001 2019-06-10 00:00:00.000 1 10
2 1001 2019-06-01 00:00:00.000 1 20
3 1002 2019-06-02 00:00:00.000 2 2
4 1002 2019-06-20 00:00:00.000 2 4
5 1001 2019-05-20 00:00:00.000 1 6
6 1002 2019-05-22 00:00:00.000 1 14
CREATE TABLE [dbo].[SampleStock](
[Id] [int] IDENTITY(1,1) NOT NULL,
[ProductId] [int] NULL,
[Quantity] [float] NULL,
[Status] [int] NULL,
[StockDate] [datetime] NULL,
CONSTRAINT [PK_SampleStock] PRIMARY KEY CLUSTERED
(
[Id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
Id ProductId Quantity Status StockDate
1 1001 20 1 2019-06-10 00:00:00.000
2 1002 10 1 2019-06-12 00:00:00.000
3 1001 10 1 2019-05-02 00:00:00.000
4 1002 4 2 2019-05-20 00:00:00.000
这可能有帮助
CREATE TABLE [dbo].[SampleOrders](
[Id] [int] IDENTITY(1,1) NOT NULL,
[ProductId] [int] NULL,
[OrderDate] [datetime] NULL,
[CustomerId] [int] NULL,
[Quantity] [float] NULL,
CONSTRAINT [PK_SampleOrders] PRIMARY KEY CLUSTERED
(
[Id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
CREATE TABLE [dbo].[SampleStock](
[Id] [int] IDENTITY(1,1) NOT NULL,
[ProductId] [int] NULL,
[Quantity] [float] NULL,
[Status] [int] NULL,
[StockDate] [datetime] NULL,
CONSTRAINT [PK_SampleStock] PRIMARY KEY CLUSTERED
(
[Id] ASC
)WITH (PAD_INDEX = OFF, STATISTICS_NORECOMPUTE = OFF, IGNORE_DUP_KEY = OFF, ALLOW_ROW_LOCKS = ON, ALLOW_PAGE_LOCKS = ON) ON [PRIMARY]
) ON [PRIMARY]
GO
INSERT INTO SampleOrders(ProductId,OrderDate,CustomerId,Quantity) VALUES(1001,'2019-06-10 00:00:00.000', 1, 10)
INSERT INTO SampleOrders(ProductId,OrderDate,CustomerId,Quantity) VALUES(1001,'2019-06-01 00:00:00.000', 1, 20)
INSERT INTO SampleOrders(ProductId,OrderDate,CustomerId,Quantity) VALUES(1002,'2019-06-02 00:00:00.000', 2, 2 )
INSERT INTO SampleOrders(ProductId,OrderDate,CustomerId,Quantity) VALUES(1002,'2019-06-20 00:00:00.000', 2, 4 )
INSERT INTO SampleOrders(ProductId,OrderDate,CustomerId,Quantity) VALUES(1001,'2019-05-20 00:00:00.000', 1, 6 )
INSERT INTO SampleOrders(ProductId,OrderDate,CustomerId,Quantity) VALUES(1002,'2019-05-22 00:00:00.000', 1, 14)
GO
INSERT INTO SampleStock(ProductId,Quantity,Status,StockDate) VALUES (1001,20,1,'2019-06-10 00:00:00.000')
INSERT INTO SampleStock(ProductId,Quantity,Status,StockDate) VALUES (1002,10,1,'2019-06-12 00:00:00.000')
INSERT INTO SampleStock(ProductId,Quantity,Status,StockDate) VALUES (1001,10,1,'2019-05-02 00:00:00.000')
INSERT INTO SampleStock(ProductId,Quantity,Status,StockDate) VALUES (1002,6 ,2,'2019-05-20 00:00:00.000')
INSERT INTO SampleStock(ProductId,Quantity,Status,StockDate) VALUES (1003,4 ,2,'2019-05-20 00:00:00.000')
GO
SELECT * FROM SampleOrders
SELECT * FROM SampleStock
GO
-- DROP TABLE #MonthlySales
SELECT Product
,January as JanuarySales
,February as FebruarySales
,March as MarchSales
,April as AprilSales
,May as MaySales
,June as JuneSales
,July as JulySales
,August as AugustSales
,September as SeptemberSales
,October as OctoberSales
,November as NovemberSales
,December as DecemberSales
INTO #MonthlySales
FROM (SELECT m.ProductId [Product],
DATENAME(MONTH, m.OrderDate) [Month],
SUM(ISNULL(M.Quantity, 0)) [Sales]
FROM SampleOrders m
GROUP BY m.ProductId,
DATENAME(MONTH, m.OrderDate)) AS MontlySalesData
PIVOT( SUM([Sales])
FOR Month IN ([January],[February],[March],[April],[May],
[June],[July],[August],[September],[October],[November],
[December])) AS PivotData
GO
-- DROP TABLE #MonthlyStock
SELECT Product
,January as JanuaryStock
,February as FebruaryStock
,March as MarchStock
,April as AprilStock
,May as MayStock
,June as JuneStock
,July as JulyStock
,August as AugustStock
,September as SeptemberStock
,October as OctoberStock
,November as NovemberStock
,December as DecemberStock
INTO #MonthlyStock
FROM (SELECT m.ProductId [Product],
DATENAME(MONTH, m.StockDate) [Month],
SUM(ISNULL(M.Quantity, 0)) [Stock]
FROM SampleStock m
GROUP BY m.ProductId,
DATENAME(MONTH, m.StockDate)) AS MontlyStock
PIVOT( SUM([Stock])
FOR Month IN ([January],[February],[March],[April],[May],
[June],[July],[August],[September],[October],[November],
[December])) AS PivotData
GO
SELECT ISNULL(sl.Product,st.Product) as Product
,JanuarySales,JanuaryStock
,FebruarySales,FebruaryStock
,MarchSales,MarchStock
,AprilSales,AprilStock
,MaySales,MayStock
,JuneSales,JuneStock
,JulySales,JulyStock
,AugustSales,AugustStock
,SeptemberSales,SeptemberStock
,OctoberSales,OctoberStock
,NovemberSales,NovemberStock
,DecemberSales,DecemberStock
FROM #MonthlySales sl
FULL JOIN #MonthlyStock st ON sl.Product = st.Product