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:
  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" alt="" />
  给这个表填入一些数据:
  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" alt="" />
  接下来,我们再建一个商品属性对应表 prod_attr
  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" alt="" />
  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

   aaarticlea/png;base64,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" alt="" />

  现在我们动态执行sql

  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" alt="" />

 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

版权声明:笔记整理者亡命小卒热爱自由,崇尚分享。但是本笔记源自www.jtthink.com(程序员在囧途)沈逸老师的《web级mysql颠覆实战课程 》。如需转载请尊重老师劳动,保留沈逸老师署名以及课程来源地址。

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