Relational Databases: Creating Relationships

Relational Databases: Creating Relationships

Understanding Relationships in Relational Databases

  • Relationships in relational databases are the associations between tables.
  • These relationships allow the database to effectively organise, store and retrieve interconnected data without unnecessary redundancy.

One-to-One Relationships

  • A one-to-one relationship occurs when each record in one table corresponds to exactly one record in another table.

One-to-Many Relationships

  • A one-to-many relationship occurs when a single record in one table is linked to multiple entries in another table.

Many-to-Many Relationships

  • A many-to-many relationship occurs when a single record in one table can be related to multiple records in a separate table, and vice versa.

Primary and Foreign Keys

  • Primary key is a unique identifier for records in a table. Each table should have a primary key.
  • A foreign key is a field (or collection of fields) in one table that identifies a record of another table. It’s used to establish a link between the data in two tables.

Creating Relationships in Database Software

  • In most database software, relationships can be established through the Relationships window or the Database Diagram tool.

The Importance of Indexing in Relationships

  • Indexes in a database are used to speed up searches and queries.
  • Building indexes on the primary key and foreign key columns of the tables involved in a relationship can greatly improve performance.

Normalisation Process

  • Normalisation is the process of efficiently organising data in a database, which includes the creation and honing of table relationships.
  • The goals of normalisation include avoiding data redundancies, ensuring data accuracy and integrity, and optimising database performance.

Testing Relationships

  • Once relationships are created, they should be tested thoroughly to ensure they are functioning as expected.
  • Testing involves entering data, modifying data, and deleting data, then analysing the effects on the related tables.