Introduction 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.
Introduction 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.
Introduction In-memory databases such as H2, HSQLDB, and Derby are great to speed up integration tests. Although most database queries can be run against these in-memory databases, many enterprise systems make use of complex native queries which can only be tested against an actual production-like relational database. In this post, I’m going to show you how you can run PostgreSQL and MySQL integration tests almost as fast as any in-memory database.