mysql - 连接两个表加上数据透视表作为存储过程 - MySQL

Question

我试图在 MySQL 上做一个订单过程来制作一个数据透视表，但是它真的很复杂，我不知道该怎么做，我不知道是否有其他方法可以做起来更容易。

我需要获取在特定地址购买了多少产品，GROUP_CONCAT(ship_addr + ship_zip + ship_contry) 的结果。

订单表 - 包含订单地址。

+----+----------------+----------+--------------+
| id |   ship_addr    | ship_zip | ship_country |
+----+----------------+----------+--------------+
|  1 | Addr1          |  123     |           DE |
|  2 | Addr2          |  321     |           DE |
|  3 | Addr1          |  123     |           DE |
|  4 | Addr2          |  321     |           DE |
|  5 | Addr3          |  543     |           DE |
+----+----------------+----------+--------------+

订单持仓表

+----+---------------+------------+--------------+
| id |   order_id    | product_id | quantity     |
+----+----------------+-----------+--------------+
|  1 | 1             |  1         |            5 |
|  2 | 1             |  2         |           10 |
|  3 | 2             |  3         |            5 |
|  4 | 3             |  1         |            5 |
|  5 | 4             |  1         |           10 |
|  6 | 5             |  1         |           10 |
+----+----------------+----------+---------------+

预期结果，列标题为product_id:

+-----------------+-------+-------+-------+
|  Address        |   1   |   2   |   3   | 
+-----------------+-------+-------+-------+
|  Addr1, 123, DE | 10    |  10   |     0 |
|  Addr2, 321, DE | 10    |  0    |     5 |
|  Addr3, 543, DE | 10    |  0    |     0 |
+-----------------+-------+-------+-------+

我无法复制我尝试过的存储过程，因为它们完全失败了。

Answer 1

您好，我想出了这个解决方案，只是缺少一个部分来用零替换 null 。当我热更多时间时，我会尝试，但结果符合您的期望。也附上输出。这里值得一提的是，pivoted column需要静态添加ie(product_id)。如果需要，您也可以创建一个动态查询来容纳这些旋转列。 因为它是用 sql-server 标记的，所以我的答案来自 SQL Server 语法。

        declare @order as table (
        id int , ship_addr varchar(100),ship_zip varchar(100) , ship_country varchar(100)
        )

        insert into @order (id,ship_addr,ship_zip,ship_country) values (1,'Add1','123','DE')
        insert into @order (id,ship_addr,ship_zip,ship_country) values (2,'Add2','321','DE')
        insert into @order (id,ship_addr,ship_zip,ship_country) values (3,'Add1','123','DE')
        insert into @order (id,ship_addr,ship_zip,ship_country) values (4,'Add2','321','DE')
        insert into @order (id,ship_addr,ship_zip,ship_country) values (5,'Add3','543','DE')

        declare @orderposition as table (
        id int , order_id int ,product_id int , quantity int
        )

        insert into @orderposition (id,order_id,product_id,quantity) values (1,1,1,5)
        insert into @orderposition (id,order_id,product_id,quantity) values (2,1,2,10)
        insert into @orderposition (id,order_id,product_id,quantity) values (3,2,3,5)
        insert into @orderposition (id,order_id,product_id,quantity) values (4,3,1,5)
        insert into @orderposition (id,order_id,product_id,quantity) values (5,4,1,10)
        insert into @orderposition (id,order_id,product_id,quantity) values (6,5,1,10)

        select  pvt.fulladd as Address , ISNULL([1],0) as [1] , ISNULL([2],0) as [2] , ISNULL([3],0) as [3]  from 
        (select fulladd, product_id , sum( isnull( quantity,0)) as qty from (
        select (o.ship_addr +' , ' + o.ship_zip +' ,' + o.ship_country) as fulladd , o.id from @order o
        ) as o
        inner join @orderposition p on p.order_id= o.id
        group by  fulladd, p.product_id
        ) as final



        pivot 
        (
           max(qty)  for product_id in ([1],[2],[3])

        ) as pvt