Возврат нескольких столбцов с данными сводных данных

Question

У меня есть требование, чтобы мне приходилось показывать общий объем продаж продукта по месяцам, и он отлично справлялся с Pivot следующим образом:

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

выход

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

Таким образом, в мае и июне данные отображаются, как и ожидалось, с использованием столбца OrderDate . Но у меня есть еще одно требование, где я должен показать месячный запас, а также сводные данные из другой таблицы. Чтобы сделать это проще, мне нужно что-то, как показано ниже:

Product May May-Stock June June-Stock
1001    6   10        30   20
1002    14   6         6   10

Я не уверен, как мне этого добиться, и немного сбит с толку, если я могу использовать два стержня за раз, чтобы получить результат. Любые идеи будут высоко оценены.

N.B : ниже приведены схемы таблиц с образцами данных

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

Answer 1

Это может помочь

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