To get the most out of the relational database in use, you need to make sure the data access layer resonates with the underlying database system.
In this article, we are going to see what you can do to boost up performance when using PostgreSQL with JPA and Hibernate.
Continue reading “9 High-Performance Tips when using PostgreSQL with JPA and Hibernate”
When I started writing High-Performance Java Persistence, I realized I needed a GitHub repository to host all the test cases I needed for the code snippets in my book, and that’s how the high-performance-java-persistence GitHub repository was born.
The high-performance-java-persistence GitHub repository is a collection of integration tests and utilities so that you can test JDBC, JPA, Hibernate and jOOQ features with the utmost ease.
Continue reading “A beginner’s guide to the high-performance-java-persistence GitHub repository”
As previously explained, you can run database integration tests 20 times faster! The trick is to map the data directory in memory, and my previous article showed you what changes you need to do when you have a PostgreSQL or MySQL instance on your machine.
In this post, I’m going to expand the original idea, and show you how you can achieve the same goal using Docker and tmpfs.
Continue reading “How to run integration tests at warp speed using Docker and tmpfs”
One year after I published the first part of the High-Performance Java Persistence, I managed to publish the print version of the book.
The book is printed on demand using Amazon CreateSpace, and it looks like as follows.
Continue reading “The print version of High-Performance Java Persistence”
There are many ways you can map a one-to-one relationship with Hibernate. In this post, I’m going to demonstrate which mapping is the most efficient one from a database perspective.
Continue reading “The best way to map a @OneToOne relationship with JPA and Hibernate”