SQL Server:排列/组合而不循环 [英] SQL Server : permutations/combinations without looping

问题描述

我有两个数据集.第一个是产品配方以及组成配方的产品的表格.第二个数据集包含按产品的单独定价(我可以为一个产品设置多个价格).

我要实现的结果是输出一个包含每个产品配方的唯一排列的结果集.在输出中，只有所有成分在第二个数据集中都具有定价的配方才应该出现在输出中.

假设:一个配方最多可以配置5个组件(不再).

DECLARE @ProductRecipe TABLE (ProductRecipeID INT, ComponentProductID INT)

INSERT INTO @ProductRecipe (ProductRecipeID, ComponentProductID) 
VALUES (21, 130), (21, 468), (21, 500), 
       (22, 468), (22, 500), 
       (23, 130), (23, 501)

DECLARE @ComponentPricing TABLE (PricingID INT, ProductID INT)

INSERT INTO @ComponentPricing (PricingID, ProductID)
VALUES (314023, 130), (313616, 130), (313071, 130),
       (312865, 130), (316323, 468), (316329, 468), (398864, 500)

我希望我的输出看起来像这样:

输出示例

我已经尝试过CTE和自我联接，但是我什至无法接近所需的输出..::

我正在使用SQL Server 2012

解决方案

我假设您正在使用SQL Server 2008或更高版本，这是制作 解决方案

I'm going to assume you are working with SQL Server 2008 or newer, which is required to make the dense_rank() function work.

The solution below goes through a few steps that are outlined in the comments. One call out is that I changed one of the @ProductRecipe records from (22, 130) to (22, 468) as I believe it to be the intended sample data because Component1 of the desired output includes PricingID values 316323 and 316329.

Answer:

DECLARE @ProductRecipe TABLE (ProductRecipeID INT, ComponentProductID INT)
INSERT INTO @ProductRecipe (ProductRecipeID, ComponentProductID) VALUES (21, 130)
INSERT INTO @ProductRecipe (ProductRecipeID, ComponentProductID) VALUES (21, 468)
INSERT INTO @ProductRecipe (ProductRecipeID, ComponentProductID) VALUES (21, 500)
INSERT INTO @ProductRecipe (ProductRecipeID, ComponentProductID) VALUES (22, 468) --values were (22, 130) in question
INSERT INTO @ProductRecipe (ProductRecipeID, ComponentProductID) VALUES (22, 500)
INSERT INTO @ProductRecipe (ProductRecipeID, ComponentProductID) VALUES (23, 130)
INSERT INTO @ProductRecipe (ProductRecipeID, ComponentProductID) VALUES (23, 501)

DECLARE @ComponentPricing TABLE (PricingID INT, ProductID INT)
INSERT INTO @ComponentPricing (PricingID, ProductID)
VALUES (314023, 130)
 , (313616, 130)
 , (313071, 130)
 , (312865, 130)
 , (316323, 468)
 , (316329, 468)
 , (398864, 500)

; with base as
    (
        --Joining the two datasets together.
        select pr.ProductRecipeID
        , pr.ComponentProductID
        , cp.PricingID
        from @ProductRecipe as pr
        left join @ComponentPricing as cp on pr.ComponentProductID = cp.ProductID   
    )
    , pr_exclude as
    (
        --Identifying that ProductRecipeID 23 should be excluded because of the 501 NULL value
        select distinct b.ProductRecipeID
        from base as b
        where b.PricingID is null   
    )
    , final_base as
    (
        --Assigning Rank to each ComponentProductID
        select b.ProductRecipeID
        , b.ComponentProductID
        , b.PricingID
        , dense_rank() over (partition by b.ProductRecipeID order by b.ComponentProductID asc) as prod_rnk
        from base as b
        left join pr_exclude as p on b.ProductRecipeID = p.ProductRecipeID
        where 1=1
        and p.ProductRecipeID is null
    )
--Joining it all together
select a.ProductRecipeID
, a.PricingID as Component1
, b.PricingID as Component2
, c.PricingID as Component3
, d.PricingID as Component4
, e.PricingID as Component5
from final_base as a
left join final_base as b on a.ProductRecipeID = b.ProductRecipeID and b.prod_rnk = 2
left join final_base as c on b.ProductRecipeID = c.ProductRecipeID and c.prod_rnk = 3
left join final_base as d on c.ProductRecipeID = d.ProductRecipeID and d.prod_rnk = 4
left join final_base as e on d.ProductRecipeID = e.ProductRecipeID and e.prod_rnk = 5
where a.prod_rnk = 1
order by 1, 2, 3, 4, 5, 6

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