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 database deadlock

Introduction In this article, we are going to see how a deadlock can occur in a relational database system, and how Oracle, SQL Server, PostgreSQL, or MySQL recover from a deadlock situation.

Hibernate database schema multitenancy

Introduction As I explained in this article, multitenancy is an architectural pattern which allows you to isolate customers even if they are using the same hardware or software components. There are multiple ways you can achieve multitenancy, and in this article, we are going to see how you can implement a multitenancy architecture using the database schema as the unit of isolation.

Hibernate database catalog multitenancy

Introduction As I explained in this article, multitenancy is an architectural pattern which allows you to isolate customers even if they are using the same hardware or software components. There are multiple ways you can achieve multitenancy, and in this article, we are going to see how you can implement a multitenancy architecture using the database catalog as the unit of isolation.

A beginner’s guide to database multitenancy

Introduction In software terminology, multitenancy is an architectural pattern which allows you to isolate customers even if they are using the same hardware or software components. Multitenancy has become even more attractive with the widespread adoption of cloud computing. A relational database system provides a hierarchy structure of objects which, typically, looks like this: catalog -> schema -> table. In this article, we are going to see how we can use each of these database object structures to accommodate a multitenancy architecture.

A beginner’s guide to Phantom Read anomaly

Introduction Database transactions are defined by the four properties known as ACID. The Isolation Level (I in ACID) allows you to trade off data integrity for performance. The weaker the isolation level, the more anomalies can occur, and in this article, we are going to describe the Phantom Read phenomenon.

A beginner’s guide to Non-Repeatable Read anomaly

Introduction Database transactions are defined by the four properties known as ACID. The Isolation Level (I in ACID) allows you to trade off data integrity for performance. The weaker the isolation level, the more anomalies can occur, and in this article, we are going to describe the Non-Repeatable Read phenomenon.

A beginner’s guide to Dirty Read anomaly

Introduction Database transactions are defined by the four properties known as ACID. The Isolation Level (I in ACID) allows you to trade off data integrity for performance. The weaker the isolation level, the more anomalies can occur, and in this article, we are going to describe the Dirty Read phenomenon.

How to enable multi-row inserts with the PostgreSQL reWriteBatchedInserts configuration property

Introduction Vladimir Sitnikov has been working on many optimizations to the PostgreSQL JDBC Driver, and one of these is the reWriteBatchedInserts configuration property which he recently told me about. In this article, you will see how the reWriteBatchedInserts JDBC configuration property works in PostgreSQL, and how it allows you to rewrite INSERT statements into a multi-VALUE INSERT.

How to use database-specific or Hibernate-specific features without sacrificing portability

Introduction Like other non-functional requirements, portability is a feature. While portability is very important when working on an open-source framework that will be used in a large number of setups, for end systems, portability might not be needed at all. This article aims to explain that you don’t have to avoid database or framework-specific features if you want to achieve portability.