MySQL两个表最小值和分组依据

时间:2015-06-02 00:06:53

标签: mysql group-by subquery

我有两个表,产品和products_description

产品:

Product_ID    Product_Price
 1             10    
 2             20    
 3             10    
 4             20   
 5             10    
 6             20
 7             10    
 8             10   
 9             10    
10             10

Products_Description:

Product_ID    Product_Name
 1             Pants - Black    
 2             Pants - Black    
 3             Pants - White    
 4             Pants - White   
 5             Pants - Red    
 6             Pants - Red
 7             Hat    
 8             Socks   
 9             Scarf    
10             Bird

基本上我需要针对购物车中已经存在的当前代码实现代码。

实施需要GROUP BY产品名称 - 但提供最便宜的产品。

到目前为止,我已经得到以下信息:

SELECT  p.products_id, p.products_price, pd.products_name

FROM products p

// bof自定义子查询

join
(
SELECT pp.products_id, pp.products_name, min(pr.products_price) as min_price
from products_description pp
inner JOIN products pr 
ON pp.products_id = pr.products_id
group by pp.products_name
)
AS subq on p.products_id = subq.products_id and p.products_price = subq.min_price

//自定义子查询

LEFT JOIN products_description pd on p.products_id = pd.products_id

期望的输出:

Product_ID    Product_Name    Product_Price
 1             Pants - Black   10 
 3             Pants - White   10 
 5             Pants - Red     10
 7             Hat             10   
 8             Socks           10
 9             Scarf           10  
10             Bird            10

但是,正在发生的事情是裤子被移除了。只有产品7-10仍然落后......

有什么想法吗?

1 个答案:

答案 0 :(得分:1)

您似乎想为每个产品名称提供最便宜的产品。查询有点复杂,因为价格和名称信息是分开的。编写查询的一种方法是:

select p.Product_ID, ppd.Product_Name, p.price
from product_description pd join
     products p
     on pd.product_id = p.product_id join
     (select pd2.Product_name, min(p2.price) as minprice
      from product_description pd2 join
           products p2
           on pd2.product_id = p2.product_id
      group by pd2.Product_name
     ) ppd
     on ppd.Product_Name = pd.Product_Name and
        ppd.minprice = p.price;