A one-to-one (1-1) relationship links two tables so that each record in one table corresponds to exactly one record in another table.
One-to-one relationship is useful when each record in a table must correspond to only one record in another. It’s commonly applied to keep data organized and focused, like separating sensitive information, such as login credentials or medical records, from general user details.
This approach reduces redundancy, protects privacy, and allows better control over how data is accessed and maintained.
One-to-one relationships are useful when you want to split data that doesn’t always apply to every record or when you want to isolate sensitive or rarely used information. This design approach can help improve security, simplify application logic, or reduce the risk of data duplication.
For example, storing employee profile details in one table and their medical information in another creates a logical separation while maintaining a direct link between the two. It also avoids loading unnecessary data in queries unless it's needed.
A one-to-one relationship connects two tables where each record in the first table has exactly one matching record in the second table, and vice versa. This is usually achieved using a primary key in the first table that also acts as a foreign key in the second table.
For example, consider two tables: Users and UserProfiles. Each user has one profile, and each profile belongs to one user. Here, the user_id column acts as both the primary key and the foreign key in the UserProfiles table. In entity-relationship (ER) diagrams, a one-to-one relationship is typically shown as a straight line between two entities, marked with a "1" on each side.
One-to-one relationships help streamline database application design and usage. Key advantages include:
While useful in many cases, one-to-one relationships can introduce design and usability issues if not handled carefully.
Here are some practical cases of one-to-one relationships:
To use one-to-one relationships effectively, focus on scenarios where data separation improves clarity or security. They're ideal for handling optional details, sensitive records, or UI simplification. Still, consider if a single-table design might be enough before splitting data.
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