Database structure for a classifieds website

I am developing a classifieds website similar to Quickr.com.

The main problem is that each category requires a different set of properties. For example, for a mobile phone the attributes might be Manufacturer, Operating System, Is Touch Screen, Is 3G enabled etc... Whereas for an apartment the attributes are Number of bedrooms, Is furnished, Which floor, total area etc. Since the attributes and the number of attributes varies for each category, I am keeping the attributes and their values in separate tables.

My current database structure is

Table classifieds_ads

This table stores all the ads. One record per ad.

ad_id

ad_title

ad_desc

ad_created_on

cat_id

Sample data

--------------------------------开发者_开发知识库---------------------------------------------------------------
|ad_id | ad_title    | ad_desc                                       | ad_created_on | cat_id |
-----------------------------------------------------------------------------------------------
|1     | Nokia Phone | Nokia n97 phone for sale. Excellent condition | <timestamp>   | 2      |
-----------------------------------------------------------------------------------------------

Table classifieds_cat

This table stores all the available category. cat_id in classifieds_ads table relates to cat_id in this table.

cat_id

category

parent_cid

Sample data

-------------------------------------------
|cat_id| category            | parent_cid |
-------------------------------------------
|1     | Electronics         | NULL       |
|2     | Mobile Phone        | 1          |
|3     | Apartments          | NULL       |
|4     | Apartments - Sale   | 3          |
-------------------------------------------

Table classifieds_attribute

This table contains all the available attributes for a particular category. Relates to classifieds_cat table.

attr_id

cat_id

input_type

attr_label

attr_name

Sample data

-----------------------------------------------------------
|attr_id | cat_id | attr_label       | attr_name          |
-----------------------------------------------------------
|1       | 2      | Operating System | Operating_System   |
|2       | 2      | Is Touch Screen  | Touch_Screen       |
|3       | 2      | Manufacturer     | Manufacturer       |
|4       | 3      | Bedrooms         | Bedrooms           |
|5       | 3      | Total Area       | Area               |
|6       | 3      | Posted By        | Posted_By          |
-----------------------------------------------------------

Table classifieds_attr_value

This table stores the attribute value for each ad in classifieds_ads table.

attr_val_id attr_id ad_id attr_val

Sample data

---------------------------------------------
|attr_val_id | attr_id | ad_id | attr_val   |
---------------------------------------------
|1           | 1       | 1     | Symbian OS |
|2           | 2       | 1     | 1          |
|3           | 3       | 1     | Nokia      |
---------------------------------------------

========

• Is this design okay?
• Is it possible to index this data with solr?
• How can I perform a faceted search on this data?
• Does MySQL support field collapsing like solr?

My suggestion is to remove cat_id from the classifieds_attribute table, then create a new table.

The new table would look like:

cat_attr | id | cat_id | attr_id

This should help you decrease redundancy.

Your design is fine, although I question why you are using hierarchical categories. I understand that you want to organize categories from an end-user standpoint. The hierarchy helps them drill down to the category that they are looking for. However, your schema allows for attribute values at every level. I would suggest that you only need (or possibly want) attributes at the leaf level.

It is certainly possible that you could come up with attributes that would be applicable at higher levels, but this would drastically complicate your management of the data since you'd have to spend a lot of time thinking about exactly how high up the chain a certain attribute belongs and whether or not there is some reason why a lower level might be an exception to the parent rule and so forth.

It also certainly over complicates your retrieveal as well - which is part of the reason for your question, I think.

I would suggest creating an additional table that will be used to manage the hierarchy of categories above the leaf level. It would look exactly like your classifieds_cat table except the involuted relationship will obviously be to the new table. Then classifieds_cat.parent_cid becomes an FK to the new table rather than an involuted FK to classifieds_cat.

I think this schema change will reduce your application and data management complexity.