How do you effectively model inheritance in a database?

What are the best practices for modeling inheritance in databases?

What are the trade-offs (e.g. queriability)?

(I'm most interested in SQL Server and .NET, but I also want to understand how other platforms address this issue.)

You would normalize of your database and that would actually mirror your inheritance.
It might have performance degradance, but that's how it is with normalizing. You probably will have to use good common sense to find the balance.

There are several ways to model inheritance in a database. Which you choose depends on your needs. Here are a few options:

**Table-Per-Type (TPT)**

Each class has its own table. The base class has all the base class elements in it, and each class which derives from it has its own table, with a primary key which is also a foreign key to the base class table; the derived table's class contains only the different elements.

So for example:

class Person {
public int ID;
public string FirstName;
public string LastName;
}

class Employee : Person {
public DateTime StartDate;
}

Would result in tables like:

table Person
------------
int id (PK)
string firstname
string lastname

table Employee
--------------
int id (PK, FK)
datetime startdate

**Table-Per-Hierarchy (TPH)**

There is a single table which represents all the inheritance hierarchy, which means several of the columns will probably be sparse. A discriminator column is added which tells the system what type of row this is.

Given the classes above, you end up with this table:

table Person
------------
int id (PK)
int rowtype (0 = "Person", 1 = "Employee")
string firstname
string lastname
datetime startdate

For any rows which are rowtype 0 (Person), the startdate will always be null.

**Table-Per-Concrete (TPC)**

Each class has its own fully formed table with no references off to any other tables.

Given the classes above, you end up with these tables:

table Person
------------
int id (PK)
string firstname
string lastname

table Employee
--------------
int id (PK)
string firstname
string lastname
datetime startdate

[repeat of similar thread answer](

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in O-R mapping, inheritance maps to a parent table where the parent and child tables use the same identifier

for example

create table Object (
Id int NOT NULL --primary key, auto-increment
Name varchar(32)
)
create table SubObject (
Id int NOT NULL --primary key and also foreign key to Object
Description varchar(32)
)
SubObject has a foreign-key relationship to Object. when you create a SubObject row, you must first create an Object row and use the Id in both rows

EDIT: if you're looking to model behavior also, you would need a Type table that listed the inheritance relationships between tables, and specified the assembly and class name that implemented each table's behavior

seems like overkill, but that all depends on what you want to use it for!

Using SQL ALchemy (Python ORM), you can do two types of inheritance.

The one I've had experience is using a singe-table, and having a discriminant column. For instances, a Sheep database (no joke!) stored all Sheep in the one table, and Rams and Ewes were handled using a gender column in that table.

Thus, you can query for all Sheep, and get all Sheep. Or you can query by Ram only, and it will only get Rams. You can also do things like have a relation that can only be a Ram (ie, the Sire of a Sheep), and so on.

Note that some database engines already provides inheritance mechanisms natively like [Postgres](

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For an example, you would query the Person/Employee system described in a response above like this:

<pre>
/* This shows the first name of all persons or employees */
SELECT firstname FROM Person ;

/* This shows the start date of all employees only */
SELECT startdate FROM Employee ;
</pre>

In that is your database's choice, you don't need to be particularly smart !

Short answer: you don't.

If you need to serialize your objects, use an ORM, or even better something like activerecord or prevaylence.

If you need to store data, store it in a relational manner (being careful about what you are storing, and paying attention to what Jeffrey L Whitledge just said), not one affected by your object design.

TPT, TPH and TPC patterns are the ways you go, as mentioned by Brad Wilson. But couple of notes:

* child classes inheriting from a base class can be seen as weak-entities to the base class definition in the database, meaning they are dependent to their base-class and cannot exist without it. I've seen number of times, that unique IDs are stored for each and every child table while also keeping the FK to the parent table. One FK is just enough and its even better to have on-delete cascade enable for the FK-relation between the child and base tables.

* In TPT, by only seeing the base table records, you're not able to find which child class the record is representing. This is sometimes needed, when you want to load a list of all records (without doing <code> select </code> on each and every child table). One way to handle this, is to have one column representing the type of the child class (similar to the rowType field in the TPH), so mixing the TPT and TPH somehow.

Say we want to design a database that holds the following shape class diagram:

public class Shape {
int id;
Color color;
Thickness thickness;
//other fields
}

public class Rectangle : Shape {
Point topLeft;
Point bottomRight;
}

public class Circle : Shape {
Point center;
int radius;
}

The database design for the above classes can be like this:

table Shape
-----------
int id; (PK)
int color;
int thichkness;
int rowType; (0 = Rectangle, 1 = Circle, 2 = ...)

table Rectangle
----------
int ShapeID; (FK on delete cascade)
int topLeftX;
int topLeftY;
int bottomRightX;
int bottomRightY;

table Circle
----------
int ShapeID; (FK on delete cascade)
int centerX;
int center;
int radius;

Proper database design is nothing like proper object design.

If you are planning to use the database for anything other than simply serializing your objects (such as reports, querying, multi-application use, business intelligence, etc.) then I do not recommend any kind of a simple mapping from objects to tables.

Many people think of a row in a database table as an entity (I spent many years thinking in those terms), but a row is not an entity. It is a proposition. A database relation (i.e., table) represents some statement of fact about the world. The presence of the row indicates the fact is true (and conversely, its absence indicates the fact is false).

With this understanding, you can see that a single type in an object-oriented program may be stored across a dozen different relations. And a variety of types (united by inheritance, association, aggregation, or completely unaffiliated) may be partially stored in a single relation.

It is best to ask yourself, what facts do you want to store, what questions are you going to want answers to, what reports do you want to generate.

Once the proper DB design is created, then it is a simple matter to create queries/views that allow you to serialize your objects to those relations.

Example:

In a hotel booking system, you may need to store the fact that Jane Doe has a reservation for a room at the Seaview Inn for April 10-12. Is that an attribute of the customer entity? Is it an attribute of the hotel entity? Is it a reservation entity with properties that include customer and hotel? It could be any or all of those things in an object oriented system. In a database, it is none of those things. It is simply a bare fact.

To see the difference, consider the following two queries. (1) How many hotel reservations does Jane Doe have for next year? (2) How many rooms are booked for April 10 at the Seaview Inn?

In an object-oriented system, query (1) is an attribute of the customer entity, and query (2) is an attribute of the hotel entity. Those are the objects that would expose those properties in their APIs. (Though, obviously the internal mechanisms by which those values are obtained may involve references to other objects.)

In a relational database system, both queries would examine the reservation relation to get their numbers, and conceptually there is no need to bother with any other "entity".

Thus, it is by attempting to store facts about the world—rather than attempting to store entities with attributes—that a proper relational database is constructed. And once it is properly designed, then useful queries that were undreamt of during the design phase can be easily constructed, since all the facts needed to fulfill those queries are in their proper places.

There are two main types of inheritance you can setup in a DB, table per entity and table per Hierarchy.

Table per entity is where you have a base entity table that has shared properties of all child classes. You then have per child class another table each with only properties applicable to that class. They are linked 1:1 by their PK's

![alt text][1]

Table per hierarchy is where all classes shared a table, and optional properties are nullable. Their is also a discriminator field which is a number that denotes the type that the record currently holds


![alt text][2]
SessionTypeID is discriminator

Target per hierarchy is faster to query for as you do not need joins(only the discriminator value), whereas target per entity you need to do complex joins in order to detect what type something is as well as retreiuve all its data..

Edit: The images I show here are screen shots of a project I am working on. The Asset image is not complete, hence the emptyness of it, but it was mainly to show how its setup, not what to put inside your tables. That is up to you ;). The session table holds Virtual collaboration session information, and can be of several types of sessions depending on what type of collaboration is involved.


[1]:

[2]: