A junction table, also known as an associative table or a bridge table, is a table used to manage many-to-many relationships between two other tables in a relational database.
In SQL, many-to-many relationships cannot be directly implemented using just two tables because each table’s foreign key can only relate to one other table’s primary key. Instead, a junction table is created to “link” the two tables together.
Continue readingMaintaining the reliability, accuracy, and consistency of data is paramount when dealing with databases. One important factor that plays a huge role in ensuring these qualities is the concept of physical integrity.
While much attention is given to logical integrity—ensuring the data follows the rules of the schema and maintains meaningful relationships—physical integrity is equally important. It deals with the actual storage of data and the correct functioning of the hardware and software systems that store and manage this data.
This article delves into what physical integrity is in the context of database management, why it is important, how it can be compromised, as well as best practices for maintaining it.
Continue readingIn SQL Server, foreign keys are essential for maintaining referential integrity between tables. When creating foreign keys, we have a number options available to us when it comes to defining what should happen in the event that the related data in the parent table changes. One such option is ON UPDATE SET DEFAULT.
This article will explain what this option does, provide an example of its usage, and offer a practical scenario where this feature can be useful.
Continue readingIn PostgreSQL, indexes on expressions (also known as “functional indexes”) allow you to create an index not just on a column but on the result of an expression or function applied to a column (or multiple columns). This can significantly improve query performance when the same expression is used frequently in queries, especially for complex calculations or transformations.
Continue readingPrepared statements are a feature in PostgreSQL that can improve performance and security when executing repetitive SQL queries.
By creating a prepared statement, the server can parse and plan the query once and reuse it multiple times, leading to faster execution. Prepared statements also help in preventing SQL injection attacks by safely handling user input.
In this article, we’ll explore prepared statements in PostgreSQL, discuss how to create and use them, and cover other important considerations such as query planning and cleaning up statements.
Continue readingAdding indexes to a table is a well established practice for speeding up regular queries in relational databases such as PostgreSQL. While they can do wonders for query performance, indexes can also take up a lot of disk space.
Today we’re going to be looking at a particular type of index that can help reduce the impact on disk space, and query performance – the partial index.
Continue readingIndexes can play a crucial role in optimizing SQL query performance. A well designed index can help a query perform much faster than it otherwise might. While there are many types of indexes, two common index types are clustered and nonclustered indexes.
Understanding the difference between clustered and nonclustered indexes can have a significant impact on our database design and query optimization strategies.
In this article, we’ll take a look at clustered and nonclustered indexes as implemented in SQL Server, explore their characteristics, and examine when to use each type.
Continue readingAn entity relationship (ER) diagram (also known as an ERD for Entity-Relationship Diagram) is a visual representation of the relationships between entities within a system. ER Diagrams are often used when designing relational databases. An ERD serves as a blueprint for designing a database by depicting entities, their attributes, and the relationships between them.
ER diagrams help in conceptualizing the structure of a database and serve as a communication tool between database designers, developers, and stakeholders.
Continue readingWHILE loops are a fundamental construct in T-SQL (and in programming in general) for executing repetitive tasks. Within these loops, the CONTINUE keyword serves as a powerful control flow tool, allowing developers to skip iterations and optimise loop execution.
This article explores the usage and benefits of the CONTINUE keyword in SQL Server WHILE loops.
Indexed views can significantly enhance the performance of complex queries in SQL Server. However, they come with several prerequisites and considerations that need to be carefully understood before implementation.
In this article, I provide an overview of indexed views, discussing their utility, prerequisites, and best practices, along with performance considerations and a simple example.
Continue reading