Spring Boot Integration Testing With @SpringBootTest
This article explores integration testing in Spring Boot, including testing in mock environments, running a real server for end-to-end tests, simulating external dependencies, managing test data, and configuring the test setup for speed and reliability.
Testing Spring Boot WebClient With MockWebServer
This article explains why mocking WebClient directly can be brittle and complex. It demonstrates how to write integration tests using a mock server to verify requests, responses, and error handling. The approach ensures reliable testing of request serialization, response deserialization, and behavior under errors.
Testing Serialization With Spring Boot @JsonTest
This article explains why testing JSON serialization and deserialization separately can improve reliability, especially for custom types or formats. It shows how to use lightweight test setups to verify that objects are correctly converted to and from JSON. Examples cover both serialization and deserialization with practical assertions for expected output and input.
Testing the Persistence Layer With Spring Boot @DataJpaTest
This article explains how to write reliable tests for the persistence layer. It covers creating database schemas, managing test data, and testing queries, constraints, and edge cases. Using the same database for tests and application ensures migrations and native queries behave as expected.
Testing Web Controllers With Spring Boot @WebMvcTest
This article explains why unit tests alone are not enough to verify Spring Boot controllers. It demonstrates how to use integration tests to check HTTP request mapping, JSON serialization and deserialization, input validation, exception handling, and interaction with business logic. The approach ensures controllers behave correctly in realistic web scenarios.
Spring Boot Unit Testing
This article explains how to write effective unit tests in Spring Boot by testing components in isolation without loading the full application context. It covers why field injection slows tests, how constructor injection makes services testable, and how to use Mockito for fast, reliable tests. The approach ensures unit tests run quickly and focus solely on the behavior of the code under test.
JUnit 5 Nested Tests: Grouping Related Tests Together
This tutorial demonstrates how to use JUnit 5 nested tests to structure tests hierarchically, making it easier to group related cases and navigate results. It covers simple examples with nested classes, multi-layered nesting for REST controllers, and tips to avoid pitfalls like excessive duplication. Using nested tests improves readability and helps maintain clean, organized test code.
How to Make Your Tests Readable
This article explores how to write more readable and maintainable tests. It covers behavior-focused naming, structured test patterns, minimizing irrelevant details, using test data builders, and intent-revealing helpers to make tests easier to understand and maintain.
How to Create a Test Data Builder
This article explains how to build flexible and expressive test data using custom builders. It covers hiding irrelevant details, setting safe defaults, and combining builders with object mothers to simplify test code. Following these patterns makes tests easier to read, maintain, and adapt to changes in object structures.
DRY and DAMP in Tests
This article explores how to apply DRY and DAMP principles in tests without sacrificing readability. It demonstrates using test data builders to centralize object construction and custom assertions to simplify verification. These patterns help keep tests both maintainable and expressive.