spring-boot-test-patterns
giuseppe-trisciuoglio/developer-kit
Comprehensive testing patterns for Spring Boot with JUnit 5, Mockito, Testcontainers, and slice testing.
What is spring-boot-test-patterns?
Provides guidance for writing robust test suites across unit, integration, slice, and container-based testing in Spring Boot applications. Use when writing tests, configuring @Test methods, mocking with @MockBean, or implementing test suites with JUnit 5 and Testcontainers.
- Unit testing with Mockito and @ExtendWith(MockitoExtension.class) for isolated business logic
- Slice testing with @DataJpaTest, @WebMvcTest, @WebFluxTest for focused layer testing
- REST API testing with MockMvc and controller assertions
- Testcontainers integration with @ServiceConnection for real database/broker containers in Spring Boot 3.5+
- Performance-optimized test architecture with context caching and reuse strategies
- CI/CD configuration patterns for automated testing in GitHub Actions
How to install spring-boot-test-patterns
npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill spring-boot-test-patterns- Spring Boot 2.7+ (3.5+ recommended for @ServiceConnection)
- JUnit 5 (included in spring-boot-starter-test)
- Mockito (included in spring-boot-starter-test)
- Docker installed for Testcontainers
- Maven or Gradle build tool
How to use spring-boot-test-patterns
- 1.Add spring-boot-starter-test and testcontainers dependencies to pom.xml or build.gradle
- 2.Create unit tests using @ExtendWith(MockitoExtension.class) with @Mock and @InjectMocks for isolated logic
- 3.Create slice tests with @DataJpaTest, @WebMvcTest, or @WebFluxTest for specific layers
- 4.Configure Testcontainers with @ServiceConnection in a @TestConfiguration class
- 5.Apply @Import(TestContainerConfig.class) to test classes requiring containers
- 6.Run tests with ./mvnw test and verify container startup in logs
- 7.Set up GitHub Actions workflow with Docker service for CI/CD automation
Use cases
- Writing unit tests for services and repositories with mocked dependencies
- Testing REST API endpoints with MockMvc and status/JSON assertions
- Implementing integration tests with real PostgreSQL or other containers via Testcontainers
- Testing JPA repositories with @DataJpaTest and real database schemas
- Setting up automated test suites in CI/CD pipelines with Docker support
- Spring Boot developers writing test suites
- QA engineers implementing integration tests
- Backend developers testing REST APIs and data layers
- Teams adopting Testcontainers for containerized testing
spring-boot-test-patterns FAQ
Use @DataJpaTest, @WebMvcTest, or @WebFluxTest for focused layer testing (< 100ms). Reserve @SpringBootTest only for full integration tests requiring the complete application context (< 500ms). Slice tests are faster due to minimal context loading.
@ServiceConnection automatically wires Testcontainer instances to Spring Boot properties in Spring Boot 3.5+. It replaces manual @DynamicPropertySource configuration, providing cleaner container management. Use it for PostgreSQL, MySQL, RabbitMQ, and other supported containers.
Reuse containers at JVM level with withReuse(true) and set TESTCONTAINERS_REUSE_ENABLE=true environment variable. Avoid @DirtiesContext which forces context rebuilds. Group tests by layer to maximize context caching. Keep unit tests under 50ms, slice tests under 100ms.
Mock external services in unit tests for speed. Use real containers (Testcontainers) only for integration tests where you need to verify actual database behavior. This balances test speed with confidence in real-world scenarios.
Use @WebMvcTest(YourController.class) to load only the MVC layer. Inject MockMvc and perform requests with mockMvc.perform(get("/api/path")). Assert on status codes and JSON responses using andExpect(status().isOk()) and jsonPath() matchers.
Full instructions (SKILL.md)
Source of truth, from giuseppe-trisciuoglio/developer-kit.
name: spring-boot-test-patterns description: Provides comprehensive testing patterns for Spring Boot applications covering unit, integration, slice, and container-based testing with JUnit 5, Mockito, Testcontainers, and performance optimization. Use when writing tests, @Test methods, @MockBean mocks, or implementing test suites for Spring Boot applications. allowed-tools: Read, Write, Edit, Bash, Glob, Grep
Spring Boot Testing Patterns
Overview
Comprehensive guidance for writing robust test suites for Spring Boot applications using JUnit 5, Mockito, Testcontainers, and performance-optimized slice testing patterns.
When to Use
- Writing unit tests for services or repositories with mocked dependencies
- Implementing integration tests with real databases via Testcontainers
- Testing REST APIs with
@WebMvcTestor MockMvc - Configuring
@ServiceConnectionfor container management in Spring Boot 3.5+
Quick Reference
| Test Type | Annotation | Target Time | Use Case |
|---|---|---|---|
| Unit Tests | @ExtendWith(MockitoExtension.class) | < 50ms | Business logic without Spring context |
| Repository Tests | @DataJpaTest | < 100ms | Database operations with minimal context |
| Controller Tests | @WebMvcTest / @WebFluxTest | < 100ms | REST API layer testing |
| Integration Tests | @SpringBootTest | < 500ms | Full application context with containers |
| Testcontainers | @ServiceConnection / @Testcontainers | Varies | Real database/message broker containers |
Core Concepts
Test Architecture Philosophy
- Unit Tests — Fast, isolated tests without Spring context (< 50ms)
- Slice Tests — Minimal Spring context for specific layers (< 100ms)
- Integration Tests — Full Spring context with real dependencies (< 500ms)
Key Annotations
Spring Boot Test:
@SpringBootTest— Full application context (use sparingly)@DataJpaTest— JPA components only (repositories, entities)@WebMvcTest— MVC layer only (controllers,@ControllerAdvice)@WebFluxTest— WebFlux layer only (reactive controllers)@JsonTest— JSON serialization components only
Testcontainers:
@ServiceConnection— Wire Testcontainer to Spring Boot (3.5+)@DynamicPropertySource— Register dynamic properties at runtime@Testcontainers— Enable Testcontainers lifecycle management
Instructions
1. Unit Testing Pattern
Test business logic with mocked dependencies:
@ExtendWith(MockitoExtension.class)
class UserServiceTest {
@Mock
private UserRepository userRepository;
@InjectMocks
private UserService userService;
@Test
void shouldFindUserByIdWhenExists() {
when(userRepository.findById(1L)).thenReturn(Optional.of(user));
Optional<User> result = userService.findById(1L);
assertThat(result).isPresent();
verify(userRepository).findById(1L);
}
}
See unit-testing.md for advanced patterns.
2. Slice Testing Pattern
Use focused test slices for specific layers:
@DataJpaTest
@AutoConfigureTestDatabase(replace = AutoConfigureTestDatabase.Replace.NONE)
@TestContainerConfig
class UserRepositoryIntegrationTest {
@Autowired
private UserRepository userRepository;
@Test
void shouldSaveAndRetrieveUser() {
User saved = userRepository.save(user);
assertThat(userRepository.findByEmail("test@example.com")).isPresent();
}
}
See slice-testing.md for all slice patterns.
3. REST API Testing Pattern
Test controllers with MockMvc:
@WebMvcTest(UserController.class)
class UserControllerTest {
@Autowired
private MockMvc mockMvc;
@MockBean
private UserService userService;
@Test
void shouldGetUserById() throws Exception {
mockMvc.perform(get("/api/users/1"))
.andExpect(status().isOk())
.andExpect(jsonPath("$.email").value("test@example.com"));
}
}
4. Testcontainers with @ServiceConnection
Configure containers with Spring Boot 3.5+:
@TestConfiguration
public class TestContainerConfig {
@Bean
@ServiceConnection
public PostgreSQLContainer<?> postgresContainer() {
return new PostgreSQLContainer<>("postgres:16-alpine");
}
}
Apply with @Import(TestContainerConfig.class) on test classes.
See testcontainers-setup.md for detailed configuration.
5. Add Dependencies
Include required testing dependencies:
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.testcontainers</groupId>
<artifactId>junit-jupiter</artifactId>
<version>1.19.0</version>
<scope>test</scope>
</dependency>
See test-dependencies.md for complete dependency list.
6. Configure CI/CD
Set up GitHub Actions for automated testing:
name: Tests
on: [push, pull_request]
jobs:
test:
runs-on: ubuntu-latest
services:
docker:
image: docker:20-dind
steps:
- uses: actions/checkout@v4
- name: Set up JDK 17
uses: actions/setup-java@v4
with:
distribution: 'temurin'
- name: Run tests
run: ./mvnw test
See ci-cd-configuration.md for full CI/CD patterns.
Validation Checkpoints
After implementing tests, verify:
- Container running:
docker ps(look for testcontainer images) - Context loaded: check startup logs for "Started Application in X.XX seconds"
- Test isolation: run tests individually and confirm no cross-contamination
Examples
Full Integration Test with @ServiceConnection
@SpringBootTest
@Import(TestContainerConfig.class)
class OrderServiceIntegrationTest {
@Autowired
private OrderService orderService;
@Autowired
private UserRepository userRepository;
@Test
void shouldCreateOrderForExistingUser() {
User user = userRepository.save(User.builder()
.email("order-test@example.com")
.build());
Order order = orderService.createOrder(user.getId(), List.of(
new OrderItem("SKU-001", 2)
));
assertThat(order.getId()).isNotNull();
assertThat(order.getStatus()).isEqualTo(OrderStatus.PENDING);
}
}
@DataJpaTest with Real Database
@DataJpaTest
@AutoConfigureTestDatabase(replace = AutoConfigureTestDatabase.Replace.NONE)
@TestContainerConfig
class UserRepositoryTest {
@Autowired
private UserRepository userRepository;
@Test
void shouldFindByEmail() {
userRepository.save(User.builder()
.email("jpa-test@example.com")
.build());
assertThat(userRepository.findByEmail("jpa-test@example.com"))
.isPresent();
}
}
See workflow-patterns.md for complete end-to-end examples.
Best Practices
- Use the right test type:
@DataJpaTestfor repositories,@WebMvcTestfor controllers,@SpringBootTestonly for full integration - Prefer
@ServiceConnectionon Spring Boot 3.5+ for cleaner container management over@DynamicPropertySource - Keep tests deterministic: Initialize all test data explicitly in
@BeforeEach - Organize by layer: Group tests by layer to maximize context caching
- Reuse Testcontainers at JVM level (
withReuse(true)+TESTCONTAINERS_REUSE_ENABLE=true) - Avoid
@DirtiesContext: Forces context rebuild, significantly hurts performance - Mock external services, use real databases only when necessary
- Performance targets: Unit < 50ms, Slice < 100ms, Integration < 500ms
Constraints and Warnings
- Never use
@DirtiesContextunless absolutely necessary (forces context rebuild) - Avoid mixing
@MockBeanwith different configurations (creates separate contexts) - Testcontainers require Docker; ensure CI/CD pipelines have Docker support
- Do not rely on test execution order; each test must be independent
- Be cautious with
@TestPropertySource(creates separate contexts) - Do not use
@SpringBootTestfor unit tests; use plain Mockito instead - Context caching can be invalidated by different
@MockBeanconfigurations - Avoid static mutable state in tests (causes flaky tests)
References
- test-dependencies.md — Maven/Gradle test dependencies
- unit-testing.md — Unit testing with Mockito patterns
- slice-testing.md — Repository, controller, and JSON slice tests
- testcontainers-setup.md — Testcontainers configuration patterns
- ci-cd-configuration.md — GitHub Actions, GitLab CI, Docker Compose
- api-reference.md — Complete test annotations and utilities
- best-practices.md — Testing patterns and optimization
- workflow-patterns.md — Complete integration test examples
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