mysql颠覆实战笔记(六)--商品系统设计(三):商品属性设计之固定属性
今天我们来讲一下商品属性
我们知道,不同类别的商品属性是不同的。
我们先建一个表prod_class_attr:
![](data:image/png;base64,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)
给这个表填入一些数据:
![](data:image/png;base64,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)
接下来,我们再建一个商品属性对应表 prod_attr
![](data:image/png;base64,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)
好了,下面我们把新增商品的流程撸一遍:
第一步,往商品主表插入数据
我们来新建一个存储过程 sp_new_prod:
BEGIN INSERT INTO prod_main(prod_name,prod_classid) VALUES (_prod_name,_class_id); END
参数:IN _prod_name varchar(50),IN _class_id int
call一下
call sp_new_prod('测试商品001',1)
于是在主表中,我们就可以看到刚刚插入的数据
现在我们动态执行sql
ok,我们按照这个思路,重写刚才的存储过程
BEGIN set @pid=0; INSERT INTO prod_main(prod_name,prod_classid) VALUES (_prod_name,_class_id); set @pid = LAST_INSERT_ID(); set @ss = CONCAT('insert into prod_attr select ? as prod_id,a.* from (',_attr_sql,')a') ; PREPARE pname from @ss; EXECUTE pname using @pid; DEALLOCATE PREPARE pname; END
现在这个过程,我们一次性完成插入数据,又添加属性。
上一课:mysql颠覆实战笔记(五)--商品系统设计(二):定时更新商品总点击量
下一课:mysql颠覆实战笔记(七)--白话理解事务
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