表格是:
Transactions
(id_transaction,quantity,id_receipt,id_product)Receipts
(id_receipt,date,id_store,id_customer)Products
(id_product,product_name,price,id_prod_cat)Product_Categories
(id_prod_cat,category_name)包含样本数据的所需输出:
ID_RECEIPT | desserts | meat | juices | baker products| canned |
-------------------------------------------------------------------|
1 | 0 | 2 | 1 | 3 | 0 |
2 | 1 | 0 | 3 | 1 | 0 |
--------------------------------------------------------------------
我已经尝试过此查询但没有成功。
TRANSFORM Nz(Count(dbo.Transactions.quantity), 0) AS Product Count
SELECT dbo.Receipts.id_receipt
FROM dbo.Product_Categories
INNER JOIN (dbo.Receipts
INNER JOIN (dbo.PRODUCTS
INNER JOIN dbo.TRANSACTIONS ON dbo.PRODUCTS.id_product = dbo.TRANSACTIONS.id_product)
ON dbo.RECEIPTS.id_receipt = dbo.TRANSACTIONS.id_receipt)
ON dbo.Product_Categories.id_prod_cut = dbo.Products.id_product
GROUP BY
dbo.Receipts.id_receipt
PIVOT
dbo.Product_Categories.category_name
答案 0 :(得分:0)
基本上,这是经典的转置查询。考虑以下SQL,它应该符合大多数RDMS的要求。对于MS Access,您将使用IIF()
而不是CASE WHEN
(以及联接中的括号)。带Transform
的交叉表查询主要是MS Access类型,而Pivot()
主要是SQL Server函数。但是,下面应该适用于数据库方言。
SELECT
dbo.Receipts.id_receipt,
Count(CASE WHEN dbo.Product_Categories.category_name='desserts'
THEN dbo.Transactions.quantity END) As [desserts],
Count(CASE WHEN dbo.Product_Categories.category_name='meat'
THEN dbo.Transactions.quantity END) As [meat],
Count(CASE WHEN dbo.Product_Categories.category_name='juices'
THEN dbo.Transactions.quantity END) As [juices],
Count(CASE WHEN dbo.Product_Categories.category_name='baker products'
THEN dbo.Transactions.quantity END) As [baker products],
Count(CASE WHEN dbo.Product_Categories.category_name='canned'
THEN dbo.Transactions.quantity END) As [canned]
FROM dbo.Product_Categories
INNER JOIN dbo.Receipts
INNER JOIN dbo.PRODUCTS
INNER JOIN dbo.TRANSACTIONS ON dbo.PRODUCTS.id_product = dbo.TRANSACTIONS.id_product
ON dbo.RECEIPTS.id_receipt = dbo.TRANSACTIONS.id_receipt
ON dbo.Product_Categories.id_prod_cut = dbo.Products.id_product
GROUP BY dbo.Receipts.id_receipt ;