SQL Server audit logging using triggers
Introduction In this article, we are going to see how we can implement an audit logging mechanism using SQL Server database triggers to store both the previous and the current state of a given target table record in JSON column types.
PostgreSQL audit logging using triggers
Introduction In this article, we are going to see how we can implement an audit logging mechanism using PostgreSQL database triggers to store the CDC (Change Data Capture) records. Thanks to JSON column types, we can store the row state in a single column, therefore not needing to add a new column in the audit log table every time a new column is being added to the source database table.
MySQL audit logging using triggers
Introduction In this article, we are going to see how we can implement an audit logging mechanism using MySQL database triggers to store the old and new row states in JSON column types.
PostgreSQL triggers and isolation levels
Introduction In this article, we are going to see how the PostgreSQL isolation levels guarantee read and write consistency when executing database triggers. While relational database systems provide strong data integrity guarantees, it’s very important to understand how the underlying transactional engine works in order to choose the right design for your data access layer.
PostgreSQL trigger consistency check
Introduction In this article, we are going to see how to implement a non-trivial consistency check using a PostgreSQL INSERT and UPDATE trigger. By using a database trigger after executing an INSERT or UPDATE, we can ensure that the sum of salaries in a given department does not exceed the maximum budget allocated for the given department.
A beginner’s guide to CDC (Change Data Capture)
Introduction In this article, I’m going to explain what CDC (Change Data Capture) is, and why you should use it to extract database row-level changes. In OLTP (Online Transaction Processing) systems, data is accessed and changed concurrently by multiple transactions, and the database changes from one consistent state to another. An OLTP system always shows the latest state of our data, therefore facilitating the development of front-end applications that require near real-time data consistency guarantees. However, an OLTP system is no island, being just a small part of a larger system that… Read More
