I am trying to so something like Database Design for Tagging, except each of my tags are grouped into categories.
For example, let's say I have a database about vehicles. Let's say we actually don't know very much about vehicles, so we can't specify the columns all vehicles will have. Therefore we shall "tag" vehicles with information.
1. manufacture: Mercedes
model: SLK32 AMG
convertible: hardtop
2. manufacture: Ford
model: GT90
production phase: prototype
3. manufacture: Mazda
model: MX-5
convertible: softtop
Now as you can see all cars are tagged with their manufacture and model, but the other categories don't all match. Note that a car can only have one of each category. IE. A car can only have one manufacturer.
I want to design a database to support a search for all Mercedes, or to be able to list all manufactures.
My current design is something like this:
vehicles
int vid
String vin
vehicleTags
int vid
int tid
tags
int tid
String tag
int cid
categories
int cid
String category
I have all the right primary and foreign keys in place, except I can't handle the case where each car can only have one manufacturer. Or can I?
Can I add a foreign key constraint to the composite primary key in vehicleTags? IE. Could I add a constraint such that the composite primary key (vid, tid) can only be added to vehicleTags only if there isn't already a row in vehicleTags such that for the same vid, there isn't already a tid in the with the same cid?
My guess is no. I think the solution to this problem is add a cid column to vehicleTags, and make the new composite primary key (vid, cid). It would look like:
vehicleTags
int vid
int cid
int tid
This would prevent a car from having two manufacturers, but now I have duplicated the information that tid is in cid.
What should my schema be?
Tom noticed this problem in my database schema in my previous question, How do you do many to many table outer joins?
EDIT
I know that in the example manufacture should really be a column in the vehicle table, but let's say you can't do that. The example is just an example.
This is yet another variation on the Entity-Attribute-Value design.
A more recognizable EAV table looks like the following:
CREATE TABLE vehicleEAV (
vid INTEGER,
attr_name VARCHAR(20),
attr_value VARCHAR(100),
PRIMARY KEY (vid, attr_name),
FOREIGN KEY (vid) REFERENCES vehicles (vid)
);
Some people force attr_name
to reference a lookup table of predefined attribute names, to limit the chaos.
What you've done is simply spread an EAV table over three tables, but without improving the order of your metadata:
CREATE TABLE vehicleTag (
vid INTEGER,
cid INTEGER,
tid INTEGER,
PRIMARY KEY (vid, cid),
FOREIGN KEY (vid) REFERENCES vehicles(vid),
FOREIGN KEY (cid) REFERENCES categories(cid),
FOREIGN KEY (tid) REFERENCES tags(tid)
);
CREATE TABLE categories (
cid INTEGER PRIMARY KEY,
category VARCHAR(20) -- "attr_name"
);
CREATE TABLE tags (
tid INTEGER PRIMARY KEY,
tag VARCHAR(100) -- "attr_value"
);
If you're going to use the EAV design, you only need the vehicleTags
and categories
tables.
CREATE TABLE vehicleTag (
vid INTEGER,
cid INTEGER, -- reference to "attr_name" lookup table
tag VARCHAR(100, -- "attr_value"
PRIMARY KEY (vid, cid),
FOREIGN KEY (vid) REFERENCES vehicles(vid),
FOREIGN KEY (cid) REFERENCES categories(cid)
);
But keep in mind that you're mixing data with metadata. You lose the ability to apply certain constraints to your data model.
NOT NULL
constraint)? tag
column because that constraint would apply to all other tag values for other categories. You'd effectively restrict engine size and paint color to "soft top" as well.SQL databases don't work well with this model. It's extremely difficult to get right, and querying it becomes very complex. If you do continue to use SQL, you will be better off modeling the tables conventionally, with one column per attribute. If you have need to have "subtypes" then define a subordinate table per subtype (Class-Table Inheritance), or else use Single-Table Inheritance. If you have an unlimited variation in the attributes per entity, then use Serialized LOB.
Another technology that is designed for these kinds of fluid, non-relational data models is a Semantic Database, storing data in RDF and queried with SPARQL. One free solution is RDF4J (formerly Sesame).