A practical guide to writing clean, readable, and maintainable JUnit 6 tests. Covers the Arrange-Act-Assert pattern, one behaviour per test, @DisplayName, assertAll, avoiding logic in tests, and six habits that separate good tests from great ones.
A complete guide to the JUnit 6 test lifecycle: @BeforeAll, @BeforeEach, @AfterEach, @AfterAll. Includes execution order diagrams, PER_METHOD vs PER_CLASS lifecycle comparison, nested class behaviour, and real console output examples.
A deep dive into JUnit 6's three-pillar architecture: Platform, Jupiter, and Vintage. Learn how the TestEngine SPI, Launcher, and LauncherDiscoveryRequest work together, with code examples showing programmatic test execution and custom engine concepts.
A detailed, side-by-side comparison of JUnit 6 and JUnit 5 — architecture, annotations, parameterized tests, extension model, and records support — plus a practical migration guide updated for Spring Boot 4.0, which makes JUnit 6 the default testing baseline.
Learn how to structure your JUnit 6 test projects for scalability and long-term maintainability. Covers package layout, naming conventions, test base classes, test helpers, and real-world best practices used in production Java projects.
A comprehensive guide to configuring JUnit 6 with Maven and Gradle. Covers Surefire plugin, Failsafe plugin, multi-module projects, test filtering, IDE integration, and common configuration mistakes to avoid.
A step-by-step guide to installing JUnit 6, setting it up with Maven and Gradle, configuring your IDE, and writing your very first passing unit test. Includes complete code examples and expected output.
A complete, hands-on JUnit 6 tutorial covering everything from installation and first tests to advanced topics like parameterized tests, extensions, Spring Boot integration, parallel execution, and CI/CD pipelines. Perfect for beginners and experienced Java developers alike.
Have you ever encountered a LazyInitializationException and spent hours debugging why your data wasn't there? Or noticed your application's performance dipping because of unnecessary database hits? Choosing between Hibernate get() vs load() is a fundamental decision that every Java developer faces, yet it remains one of the most misunderstood aspects of the Hibernate framework. In this guide, we break down the mechanics of these two methods in Hibernate 7, explore the Proxy mechanism, and help you decide which tool to pull from your persistence toolbox.
Are you struggling with the dreaded "detached entity passed to persist" error or finding that your application UI doesn't reflect the latest database updates? Managing the lifecycle of entities is arguably the most complex part of working with Jakarta Persistence (JPA). In modern high-concurrency environments, understanding Hibernate merging and refreshing is critical for maintaining data integrity and preventing silent data loss. In this guide, we will explore how Hibernate 7 handles state transitions, the architectural nuances of the Persistence Context, and exactly when to deploy merge() versus refresh() to keep your application state in sync with your source of truth.