اختبار الشرائح وTestContainers
استخدم اختبارات الشرائح (`@WebMvcTest` و`@DataJpaTest`) لطبقات محددة، وادمج Testcontainers مع الخدمات الخارجية.
اختبار الشرائح وTestContainers درس مجاني في Spring Boot 4 Complete Guide على CoddyKit. هذا هو الدرس 3 من أصل 4. يمكنك قراءة الدرس كاملاً أدناه مجاناً — ثم تمرن عليه مباشرة في المتصفح باستخدام محرر أكواد مدمج ومدرس ذكاء اصطناعي متاح 24/7. هذا الدرس جزء من مسار التعلم في Spring Boot 4 Complete Guide، وتقدمك يتزامن عبر الويب وتطبيق CoddyKit. تتضمن دورة Spring Boot 4 Complete Guide 4 دروس في المجموع.
بعض أجزاء هذا الدرس لم تُترجم بعد وتظهر باللغة الإنجليزية.
Slice Testing: Focused Tests
Welcome to Lesson 3! In previous lessons, we learned about unit and full integration tests. Now, let's explore slice tests.
Slice tests focus on testing a specific 'slice' or layer of your application, like the web layer or the data layer, in isolation. This makes them:
- Faster: They load only necessary parts of the Spring context.
- More targeted: You test specific component interactions without the overhead of the entire application.
Testing Web Layers with @WebMvcTest
When you want to test your Spring MVC controllers and their interactions with HTTP requests, @WebMvcTest is your go-to annotation.
It auto-configures Spring MVC components (like @Controller, @RestController, @ControllerAdvice) but excludes other parts of your application, such as services and repositories. This ensures your test focuses solely on the web layer.
It uses MockMvc to simulate HTTP requests and responses without starting a full HTTP server.
Your First @WebMvcTest
Here's an example of a simple controller and how to test it using @WebMvcTest and MockMvc. Notice how we define the controller class in the annotation.
This test simulates a GET request to /hello and asserts the HTTP status and response content. Remember, this code runs within a JUnit test environment, not as a standalone main method.
package com.coddykit.controller;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;
@RestController
public class HelloController {
@GetMapping("/hello")
public String sayHello() {
return "Hello CoddyKit!";
}
}
// --- Test Class ---
package com.coddykit;
import com.coddykit.controller.HelloController;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.autoconfigure.web.servlet.WebMvcTest;
import org.springframework.test.web.servlet.MockMvc;
import static org.springframework.test.web.servlet.request.MockMvcRequestBuilders.get;
import static org.springframework.test.web.servlet.result.MockMvcResultMatchers.content;
import static org.springframework.test.web.servlet.result.MockMvcResultMatchers.status;
@WebMvcTest(HelloController.class)
public class HelloControllerTest {
@Autowired
private MockMvc mockMvc;
@Test
void helloEndpointReturnsGreeting() throws Exception {
mockMvc.perform(get("/hello"))
.andExpect(status().isOk())
.andExpect(content().string("Hello CoddyKit!"));
}
}Mocking Services in Web Tests
What if your controller depends on a service? Since @WebMvcTest doesn't load service beans, you'll need to provide a mock. This is where @MockBean comes in handy.
@MockBean replaces an existing bean in the application context with a Mockito mock. This lets you define the behavior of the service without needing its actual implementation, keeping your test isolated to the controller logic.
package com.coddykit.service;
import org.springframework.stereotype.Service;
@Service
public class GreetingService {
public String getGreeting() {
return "Hello from Service!";
}
}
package com.coddykit.controller;
import com.coddykit.service.GreetingService;
import org.springframework.web.bind.annotation.GetMapping;
import org.springframework.web.bind.annotation.RestController;
@RestController
public class GreetingController {
private final GreetingService greetingService;
public GreetingController(GreetingService greetingService) {
this.greetingService = greetingService;
}
@GetMapping("/greeting")
public String getCustomGreeting() {
return greetingService.getGreeting();
}
}
// --- Test Class ---
package com.coddykit;
import com.coddykit.controller.GreetingController;
import com.coddykit.service.GreetingService;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.autoconfigure.web.servlet.WebMvcTest;
import org.springframework.boot.test.mock.mockito.MockBean;
import org.springframework.test.web.servlet.MockMvc;
import static org.mockito.Mockito.when;
import static org.springframework.test.web.servlet.request.MockMvcRequestBuilders.get;
import static org.springframework.test.web.servlet.result.MockMvcResultMatchers.content;
import static org.springframework.test.web.servlet.result.MockMvcResultMatchers.status;
@WebMvcTest(GreetingController.class)
public class GreetingControllerTest {
@Autowired
private MockMvc mockMvc;
@MockBean
private GreetingService greetingService;
@Test
void greetingEndpointReturnsMockedGreeting() throws Exception {
when(greetingService.getGreeting()).thenReturn("Mocked Greeting!");
mockMvc.perform(get("/greeting"))
.andExpect(status().isOk())
.andExpect(content().string("Mocked Greeting!"));
}
}Testing Data Layers with @DataJpaTest
Moving to the data layer, @DataJpaTest is designed for testing JPA repositories. It's ideal for verifying that your entities are correctly mapped and your repository methods work as expected.
This annotation:
- Configures an in-memory embedded database (like H2) by default.
- Scans for
@Entityclasses and Spring Data JPA repositories. - Provides a
TestEntityManagerfor interacting with the database directly in tests.
Your First @DataJpaTest
Let's create a simple Product entity and its repository, then write a @DataJpaTest to ensure data can be saved and retrieved. The TestEntityManager helps set up test data.
Each @DataJpaTest runs in a transaction and rolls back at the end, ensuring a clean state for every test.
package com.coddykit.entity;
import jakarta.persistence.Entity;
import jakarta.persistence.GeneratedValue;
import jakarta.persistence.GenerationType;
import jakarta.persistence.Id;
@Entity
public class Product {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;
private String name;
private double price;
public Product() {}
public Product(String name, double price) {
this.name = name;
this.price = price;
}
public Long getId() { return id; }
public void setId(Long id) { this.id = id; }
public String getName() { return name; }
public void setName(String name) { this.name = name; }
public double getPrice() { return price; }
public void setPrice(double price) { this.price = price; }
}
package com.coddykit.repository;
import com.coddykit.entity.Product;
import org.springframework.data.jpa.repository.JpaRepository;
public interface ProductRepository extends JpaRepository<Product, Long> {
Product findByName(String name);
}
// --- Test Class ---
package com.coddykit;
import com.coddykit.entity.Product;
import com.coddykit.repository.ProductRepository;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.autoconfigure.orm.jpa.DataJpaTest;
import org.springframework.boot.test.autoconfigure.orm.jpa.TestEntityManager;
import static org.assertj.core.api.Assertions.assertThat;
@DataJpaTest
public class ProductRepositoryTest {
@Autowired
private TestEntityManager entityManager;
@Autowired
private ProductRepository productRepository;
@Test
void productCanBeSavedAndFound() {
Product newProduct = new Product("Laptop", 1200.00);
entityManager.persist(newProduct);
entityManager.flush();
Product foundProduct = productRepository.findByName("Laptop");
assertThat(foundProduct).isNotNull();
assertThat(foundProduct.getName()).isEqualTo("Laptop");
assertThat(foundProduct.getPrice()).isEqualTo(1200.00);
}
}Testcontainers: Real External Services
While in-memory databases are great for speed, they don't always mimic production environments perfectly. This is where Testcontainers shine!
Testcontainers is a Java library that provides lightweight, throwaway instances of databases, message brokers, web browsers, or anything else that can run in a Docker container. You get a real service for your tests, ensuring higher fidelity to your production setup.
- No more mock databases that behave differently.
- Consistent test environments across machines.
- Supports a wide range of services.
Setting Up Your First Container
To use Testcontainers, you need Docker running on your machine. Here's a basic example of how you might start a Redis container within a JUnit test using GenericContainer. This demonstrates the lifecycle of a container for testing.
In a real test, you'd integrate a client (e.g., Spring Data Redis) to interact with this running Redis instance.
package com.coddykit;
import org.junit.jupiter.api.Test;
import org.testcontainers.containers.GenericContainer;
import org.testcontainers.utility.DockerImageName;
import static org.assertj.core.api.Assertions.assertThat;
public class RedisContainerTest {
private static GenericContainer<?> redis = new GenericContainer<>(DockerImageName.parse("redis:5.0.3-alpine"))
.withExposedPorts(6379);
@Test
void redisContainerStartsAndIsAccessible() {
redis.start();
assertThat(redis.isRunning()).isTrue();
System.out.println("Redis container is running on port: " + redis.getFirstMappedPort());
redis.stop();
}
}DataJpaTest with Testcontainers
Combining @DataJpaTest with Testcontainers allows you to test your repositories against a real database, like PostgreSQL, instead of an in-memory one. This provides the best of both worlds: focused data layer testing with a realistic database environment.
We use @Testcontainers to enable Testcontainers integration and @Container to define our database container. @DynamicPropertySource dynamically sets Spring's datasource properties to connect to the running container.
package com.coddykit;
import com.coddykit.entity.Product;
import com.coddykit.repository.ProductRepository;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.autoconfigure.jdbc.AutoConfigureTestDatabase;
import org.springframework.boot.test.autoconfigure.orm.jpa.DataJpaTest;
import org.springframework.boot.test.autoconfigure.orm.jpa.TestEntityManager;
import org.springframework.test.context.DynamicPropertyRegistry;
import org.springframework.test.context.DynamicPropertySource;
import org.testcontainers.containers.PostgreSQLContainer;
import org.testcontainers.junit.jupiter.Container;
import org.testcontainers.junit.jupiter.Testcontainers;
import static org.assertj.core.api.Assertions.assertThat;
@DataJpaTest
@Testcontainers
@AutoConfigureTestDatabase(replace = AutoConfigureTestDatabase.Replace.NONE)
public class ProductRepositoryPostgresTest {
@Container
static PostgreSQLContainer<?> postgres = new PostgreSQLContainer<>("postgres:13");
@DynamicPropertySource
static void configureProperties(DynamicPropertyRegistry registry) {
registry.add("spring.datasource.url", postgres::getJdbcUrl);
registry.add("spring.datasource.username", postgres::getUsername);
registry.add("spring.datasource.password", postgres::getPassword);
}
@Autowired
private TestEntityManager entityManager;
@Autowired
private ProductRepository productRepository;
@Test
void productCanBeSavedAndFoundInRealDb() {
Product newProduct = new Product("Monitor", 300.00);
entityManager.persist(newProduct);
entityManager.flush();
Product foundProduct = productRepository.findByName("Monitor");
assertThat(foundProduct).isNotNull();
assertThat(foundProduct.getName()).isEqualTo("Monitor");
}
}Check Your Understanding
Time to test what you've learned about focused testing strategies.
Slice Testing & Testcontainers Recap
You've successfully explored advanced testing techniques! Here's a quick recap:
- Slice tests (like
@WebMvcTestand@DataJpaTest) allow you to test specific layers of your application in isolation, making tests faster and more focused. @WebMvcTestis for the web layer, usingMockMvcto simulate requests.@DataJpaTestis for the data layer, often with an in-memory database.- Testcontainers provide a powerful way to use real external services (like PostgreSQL or Redis) in Docker containers for your tests, ensuring high fidelity to production environments.
These tools are invaluable for building robust and reliable Spring Boot applications!
الأسئلة الشائعة
هل درس «اختبار الشرائح وTestContainers» مجاني؟
نعم — نص درس «اختبار الشرائح وTestContainers» كامل متاح مجاناً هنا على الويب. لتمرينه بشكل تفاعلي (محرر أكواد مدمج ومدرس ذكاء اصطناعي متاح 24/7) وفتح باقي دورة Spring Boot 4 Complete Guide، انتقل إلى CoddyKit PRO. تتضمن دورة Spring Boot 4 Complete Guide 4 دروس في المجموع.
ماذا ستتعلم في «اختبار الشرائح وTestContainers»؟
استخدم اختبارات الشرائح (`@WebMvcTest` و`@DataJpaTest`) لطبقات محددة، وادمج Testcontainers مع الخدمات الخارجية. تتمرن على Spring Boot 4 Complete Guide مع أكواد عملية تشغلها مباشرة في المتصفح، ومدرس ذكاء اصطناعي متاح 24/7 يجيب على أسئلتك أثناء عملك.
هل أحتاج إلى خبرة سابقة لأبدأ Spring Boot 4 Complete Guide؟
لا تُشترط خبرة سابقة. Spring Boot 4 Complete Guide على CoddyKit منظم للمبتدئين حتى المتقدمين، لذا يمكنك البدء من هنا أو من البداية والتقدم بسرعتك الخاصة. هذا هو الدرس 3 من أصل 4.
كم من الوقت يستغرق درس «اختبار الشرائح وTestContainers»؟
معظم دروس CoddyKit تستغرق حوالي 5–10 دقائق. كل منها موجز وتفاعلي، لذا تحرز تقدماً مستمراً وتستأنف من حيث توقفت عبر الويب والتطبيق.
هل يمكنني كتابة وتشغيل أكواد في درس Spring Boot 4 Complete Guide هذا؟
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جميع الدروس في هذه الدورة
- اختبار الوحدات باستخدام JUnit وMockito
- اختبار التكامل باستخدام Spring Boot
- اختبار الشرائح وTestContainers
- اختبار وحدات التحكم في الويب باستخدام MockMvc