How to Represent Inheritance in a Database

In object-oriented programming, inheritance allows us to define a class based on another class. This concept is useful when we want to represent a family of objects with shared attributes but also have additional attributes that are not common among all objects in the family.

Why is Inheritance Important in Database Design?

When it comes to representing complex structures in a database, the concept of inheritance becomes essential. Inheritance allows us to organize our data in a more efficient and logical way, avoiding redundant table structures and promoting better data management.

Challenges in Representing Inheritance in a Database

Relational databases, like SQL Server, do not have built-in support for inheritance. This means we need to find alternative approaches to represent inheritance in our database design.

Let's consider an example to illustrate the challenges: Suppose we have an application that needs to store details of a policy and its various sections, such as liability, motor, property, and indemnity cover. Each section may have unique attributes, but they also share some common attributes.

Alternative Approaches for Representing Inheritance

There are several approaches to represent inheritance in a database. Let's explore two common solutions:

1. Single Table Inheritance

In this approach, we create a single table to represent the base class and all its derived classes. This table contains all the possible attributes for each class, with many fields being null for objects that don't require those attributes.

For our example, we can create a single Policy table with columns for the common attributes of all sections, such as policy number, start date, and end date. We would also include columns for the specific attributes of each section, with null values for sections that don't require those attributes.


CREATE TABLE Policy (
    policy_id INT PRIMARY KEY,
    policy_number VARCHAR(50),
    start_date DATE,
    end_date DATE,
    liability_specific_column VARCHAR(50),
    motor_specific_column VARCHAR(50),
    property_specific_column VARCHAR(50),
    indemnity_specific_column VARCHAR(50)
)
        

The advantage of this approach is that it simplifies querying the data as we only need to work with a single table. However, it may lead to a large table with many null values, which can impact performance and storage efficiency.

2. Class Table Inheritance

In class table inheritance, we create separate tables for the base class and each derived class. The base class table contains the common attributes, while each derived class table contains the specific attributes.

Continuing with our example, we would create a Policy table with the common attributes and separate Section tables for each type of cover (liability, motor, property, and indemnity). The Section tables would have foreign key references to the Policy table, allowing us to establish the inheritance relationship.


CREATE TABLE Policy (
    policy_id INT PRIMARY KEY,
    policy_number VARCHAR(50),
    start_date DATE,
    end_date DATE
)

CREATE TABLE LiabilitySection (
    section_id INT PRIMARY KEY,
    policy_id INT,
    FOREIGN KEY (policy_id) REFERENCES Policy(policy_id),
    -- liability-specific columns
)

CREATE TABLE MotorSection (
    section_id INT PRIMARY KEY,
    policy_id INT,
    FOREIGN KEY (policy_id) REFERENCES Policy(policy_id),
    -- motor-specific columns
)

CREATE TABLE PropertySection (
    section_id INT PRIMARY KEY,
    policy_id INT,
    FOREIGN KEY (policy_id) REFERENCES Policy(policy_id),
    -- property-specific columns
)

CREATE TABLE IndemnitySection (
    section_id INT PRIMARY KEY,
    policy_id INT,
    FOREIGN KEY (policy_id) REFERENCES Policy(policy_id),
    -- indemnity-specific columns
)
        

This approach provides better clarity and avoids redundant columns, as each table is dedicated to its specific attributes. However, querying data across sections requires joining multiple tables, which may result in more complex queries.

Choosing the Best Approach

Deciding between single table inheritance and class table inheritance depends on several factors, including the complexity of the object hierarchy, the number of common and specific attributes, performance requirements, and the types of queries you expect to perform most frequently.

If the inheritance hierarchy is relatively simple and the number of specific attributes is low, single table inheritance can be a viable option. It simplifies querying and allows for more straightforward data management.

On the other hand, if the inheritance hierarchy is more complex and there are many specific attributes with distinct behaviors, class table inheritance may be a better choice. It promotes better organization and avoids redundant data storage.

Conclusion

Representing inheritance in a relational database requires careful consideration of the data structure and the trade-offs between different approaches. Whether you choose single table inheritance or class table inheritance, it's important to analyze your specific requirements and choose a solution that best suits your use case.

By understanding the concept of inheritance, its challenges in database design, and the alternative approaches available, you can make informed decisions when designing your database schema.