les*_*dru 18 mysql schema database-design eav
我正在使用 MySQL。这个想法类似于 shopify 具有不同的概念,因此用户将添加具有多种类型的变体和属性的产品。
从我所做的所有研究来看,这对我来说似乎是最有可能的解决方案,我只是想知道以下模式是否有任何问题以及有哪些优点/缺点?
谢谢
Table: products
------------------------------
| ID | ProductName |
|----------------------------|
| 1 | Leather Wallet Case |
| 2 | Jeans |
| 3 | Power Bank |
Table: products_variants
-------------------------------
| ID | ProductId | ParentId | Variant | VariantName | SKU | StockTotal | WholeSalePrice | BuyPrice | OnSale | OnSalePrice |
|---------------------------------------------------------------------------------------------------------------------------|
| 1 | 1 | null | model | iPhone5 | SKU | 10 | 3 | 10 | null | null |
|---------------------------------------------------------------------------------------------------------------------------|
| 2 | 1 | null | model | iPhone4 | null | null | null | null | null | null |
| 3 | 1 | 2 | color | Red | SKU | 10 | 3 | 10 | null | null |
| 4 | 1 | 2 | color | Blue | SKU | 10 | 3 | 10 | null | null |
|---------------------------------------------------------------------------------------------------------------------------|
| 5 | 2 | null | size | M | null | null | null | null | null | null |
| 8 | 2 | 5 | color | Black | SKU | 10 | 3 | 10 | null | null |
| 9 | 2 | null | size | XXL | SKU | 10 | 3 | 10 | null | null |
| 10 | 2 | 9 | material | Cotton | null | null | null | null | null | null |
| 11 | 2 | 10 | color | Red | SKU | 10 | 3 | 10 | null | null |
| 12 | 2 | 10 | color | Blue | SKU | 10 | 3 | 10 | null | null |
| 13 | 2 | 9 | material | Casmir | null | null | null | null | null | null |
| 14 | 2 | 13 | color | Green | SKU | 10 | 3 | 10 | null | null |
| 15 | 2 | 13 | color | Brown | SKU | 10 | 3 | 10 | null | null |
|---------------------------------------------------------------------------------------------------------------------------|
| 13 | 3 | null | null | null | SKU | 10 | 3 | 10 | null | null |
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小智 7
这只是来自@lesandru 回复的信息,我真的觉得它非常有用,所以感谢他和@sahalMoidu
将规范化应用于您的问题,解决方案如给定。在 Fiddle 上运行并查看它
CREATE TABLE products
(
product_id int auto_increment primary key,
name varchar(20),
description varchar(30)
);
INSERT INTO products
(name, description)
VALUES
('Rug', 'A cool rug' ),
('Cup', 'A coffee cup');
create table variants (variant_id int auto_increment primary key,
variant varchar(50)
);
insert into variants (variant)
values ('color'),('material'),('size') ;
create table variant_value(value_id int auto_increment primary key,
variant_id int ,
value varchar(50)
);
insert into variant_value (variant_id,value)
values (1 ,'red'),(1 ,'blue'),(1 ,'green'),
(2 ,'wool'),(2 ,'polyester'),
(3 ,'small'),(3 ,'medium'),(3 ,'large');
create table product_Variants( product_Variants_id int auto_increment primary key,
product_id int,
productVariantName varchar(50),
sku varchar(50),
price float
);
create table product_details(product_detail_id int auto_increment primary key,
product_Variants_id int,
value_id int
);
insert into product_Variants(product_id,productVariantName,sku,price)
values (1,'red-wool' ,'a121',50);
insert into product_details(product_Variants_id , value_id)
values( 1,1),(1,4);
insert into product_Variants(product_id,productVariantName,sku,price)
values (1,'red-polyester' ,'a122',50);
insert into product_details(product_Variants_id , value_id)
values( 2,1),(2,5);
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