MySQL中的分层数据

MySQL中的分层数据

本文介绍了MySQL中的分层数据的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我的MySQL数据库中有种像树一样的东西.

I've got a sort of tree like thing going on in my MySQL database.

我有一个包含类别的数据库,每个类别都有一个子类别.我将所有类别都保留在一个表中,所以这些列是这样的:

I have a database that has categories, and each category has a subcat. I'm keeping all the categories in one table, so the columns are like this:

*categories table*
id | name  | parent_id
1  | Toys  | 0
2  | Dolls | 1
3  | Bikes | 1

我数据库中的每个项目都被分配到以下类别之一:

Each item in my database is assigned to one of those categories:

*items table*
item   | category_id
barbie | 2
schwinn| 3

问题是,如果有人想查看所有玩具(父类别),从商品数据库中获取信息的最佳方法是什么?我知道怎么做的唯一方法就是做类似的事情

The problem is if someone wants to see all TOYS (the parent category) what is the best way to fetch the info from the items database? The only way I know how is to do something like

SELECT *
FROM items
WHERE category_id = 2
JOIN SELECT *
     FROM items
     WHERE category_id = 3
     etc...

但是,如果我喜欢Toys下的10个类别,那么我就必须进行这种联接并查询10次.

But if I had like 10 categories under Toys, then I'd have to do this join and query 10 times.

有没有更好的方法来解决这个问题?

Is there a better way to handle this?

推荐答案

您想获得父ID:

所以假设您被赋予

set @parentId = 1 /*toys*/

select
  *
from
  Items i
inner join Categories c on c.id = i.categoryId
where
  c.parentId = @parentId

这将为您提供所需的项目-具有一个主要的设计缺陷:它不能处理多个层次的类别类别.

This will give you the items you want - with one major design flaw: it doesn't handle multiple levels of hierarchical categories.

假设您有此类别"表:

*Categories table*
id | name    | parentId
1  | Toys    | 0
2  | Dolls   | 1
3  | Bikes   | 1
4  | Models  | 2
5  | Act.Fig.| 2
6  | Mountain| 3
7  | BMX     | 3

和项目:

*items table*
item   | category_id
Barbie | 4
GIJoe  | 5
Schwinn| 6
Huffy  | 7

获取所有相关项的唯一方法是进行自我联接:

The only way to get all the relevant Items is do a self join:

select
  *
from
  Items i
inner join Categories c on c.id = i.categoryId
inner join Categories c2 on c.parentId = c2.id
where
  c2.parentId = @parentId

此模式不可扩展-因为您可以具有多个层次结构.

This pattern is not scalable - since you can have MULTIPLE levels of hierarchy.

处理层次结构的一种常见方法是构建扁平化"表:将每个节点链接到其所有后代的行.

One common way to deal with hierarchies is to build a "flattened" table: a row that links each node to ALL it's descendants.

除了类别"表,您还构建了第二个表:

In addition to a Categories table, you build a second table:

*CategoriesFlat table*  The Name column is here only for readability
id | name    | parentId
1  | Toys    | 1
-----------------
2  | Dolls   | 1
2  | Dolls   | 2
-----------------
4  | Models  | 1
4  | Models  | 2
4  | Models  | 4
5  | Act.Fig.| 1
5  | Act.Fig.| 2
5  | Act.Fig.| 5
-----------------
3  | Bikes   | 1
3  | Bikes   | 3
-----------------
6  | Mountain| 1
6  | Mountain| 3
6  | Mountain| 6
7  | BMX     | 1
7  | BMX     | 3
7  | BMX     | 7

所以你可以这样写:

select
  *
from
  Items i
inner join CategoriesFlat c on c.id = i.categoryId
where
  c.parentId = @parentId

并获取所有相关的类别和项目.

And get ALL the relevant Categories and Items.

这是关于SQL反模式的大型幻灯片和解决方案他们. (SQL中的分层数据是一种反模式,但不要灰心,我们都会遇到这种情况)

Here's a great slideshow about SQL anti-patterns and solutions to them. (Hierarchical data in SQL is an anti-pattern, but don't be disheartened - we all run into this one)

这篇关于MySQL中的分层数据的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持!

07-24 07:47