📖 Scenario: You are building a simple Spring Boot application that manages a list of books. To ensure your application works correctly and to avoid future bugs, you will add tests. Testing helps catch mistakes early and makes your code more reliable.
🎯 Goal: Build a Spring Boot project with a simple BookService class and write a test to check if the service returns the correct number of books.
📋 What You'll Learn
Create a BookService class with a method getBooks() that returns a list of book titles.
Add a configuration variable expectedBookCount to hold the expected number of books.
Write a test method in BookServiceTest that checks if getBooks() returns the expected number of books.
Use Spring Boot testing annotations to run the test.
💡 Why This Matters
🌍 Real World
Testing is essential in real projects to ensure your code works as expected and to prevent bugs from reaching users.
💼 Career
Knowing how to write and run tests in Spring Boot is a key skill for backend developers and improves code quality and maintainability.
Progress0 / 4 steps
1
Create the BookService class with a list of books
Create a class called BookService with a method getBooks() that returns a list containing exactly these three book titles: "Spring Basics", "Java Fundamentals", and "Testing Essentials".
Spring Boot
Hint
Use List.of() to create a fixed list of book titles.
2
Add expectedBookCount variable
Inside the BookService class, add a private integer variable called expectedBookCount and set it to 3.
Spring Boot
Hint
Declare expectedBookCount as a private integer and assign it the value 3.
3
Write a test method to check book count
Create a test class called BookServiceTest in package com.example.demo.service. Inside it, write a test method called testGetBooksCount() that creates an instance of BookService and asserts that the size of the list returned by getBooks() equals expectedBookCount.
Spring Boot
Hint
Use JUnit 5 @Test annotation and assertEquals to compare expected and actual values.
4
Add Spring Boot test annotation
In the BookServiceTest class, add the @SpringBootTest annotation above the class declaration to enable Spring Boot testing support.
Spring Boot
Hint
Import and add @SpringBootTest above the test class to enable Spring Boot context.
Practice
(1/5)
1. Why is testing important in a Spring Boot application?
easy
A. It makes the app run faster in production.
B. It helps catch bugs early and ensures the app works as expected.
C. It automatically fixes errors in the code.
D. It reduces the size of the application.
Solution
Step 1: Understand the purpose of testing
Testing is done to find bugs early and verify that the application behaves correctly.
Step 2: Evaluate the options
Only It helps catch bugs early and ensures the app works as expected. correctly states that testing helps catch bugs early and ensures expected behavior.
Final Answer:
It helps catch bugs early and ensures the app works as expected. -> Option B
Quick Check:
Testing importance = Catch bugs early [OK]
Hint: Testing finds bugs early and checks app behavior [OK]
Common Mistakes:
Thinking testing makes app faster
Believing testing fixes code automatically
Confusing testing with app size optimization
2. Which annotation is used to write a test class in Spring Boot?
easy
A. @SpringBootTest
B. @Controller
C. @Service
D. @Repository
Solution
Step 1: Identify the test class annotation in Spring Boot
@SpringBootTest is used to load the full application context for testing.
Step 2: Check other annotations
@Controller, @Service, and @Repository are for app components, not tests.
Final Answer:
@SpringBootTest -> Option A
Quick Check:
Test class annotation = @SpringBootTest [OK]
Hint: Use @SpringBootTest to run Spring Boot tests [OK]
Common Mistakes:
Using @Controller or @Service for tests
Confusing component annotations with test annotations
Forgetting to annotate test classes
3. What will happen when this Spring Boot test runs?
@SpringBootTest
public class MyAppTests {
@Test
void testSum() {
int result = 2 + 3;
assertEquals(5, result);
}
}
medium
A. The test will pass because the sum is correct.
B. The test will be ignored automatically.
C. The test will cause a syntax error.
D. The test will fail because 2 + 3 is not 5.
Solution
Step 1: Analyze the test method
The method calculates 2 + 3 and stores 5 in result, then checks if result equals 5.
Step 2: Determine test outcome
Since 2 + 3 is 5, assertEquals(5, result) will pass without errors.
Final Answer:
The test will pass because the sum is correct. -> Option A
Quick Check:
2 + 3 = 5 test passes [OK]
Hint: Check if assertion matches calculation result [OK]
Common Mistakes:
Thinking 2 + 3 is not 5
Assuming syntax errors without checking code
Believing tests run automatically without @Test
4. Identify the error in this Spring Boot test code:
@SpringBootTest
public class SampleTests {
@Test
void testMultiply() {
int result = 3 * 4
assertEquals(12, result);
}
}
medium
A. The class should not be annotated with @SpringBootTest.
B. assertEquals is used incorrectly; it needs three arguments.
C. The @Test annotation is missing.
D. Missing semicolon after '3 * 4' causes a syntax error.
Solution
Step 1: Check syntax in the test method
The line 'int result = 3 * 4' is missing a semicolon at the end, causing a syntax error.
Step 2: Verify other parts
@Test annotation is present, assertEquals usage with two arguments is correct, and @SpringBootTest is valid for test class.
Final Answer:
Missing semicolon after '3 * 4' causes a syntax error. -> Option D
Quick Check:
Missing semicolon = syntax error [OK]
Hint: Look for missing semicolons in Java code [OK]
Common Mistakes:
Ignoring missing semicolon errors
Thinking assertEquals needs three arguments
Assuming @Test annotation is missing
5. You want to test a Spring Boot service method that returns null sometimes. Which approach best ensures your test catches this case?
hard
A. Write a test that asserts the method never returns null.
B. Skip testing null cases to avoid test failures.
C. Write a test that checks for both null and valid return values.
D. Only test the method with valid inputs.
Solution
Step 1: Understand the method behavior
The method can return null sometimes, so tests must handle both null and valid results.
Step 2: Choose the best testing approach
Testing only valid inputs or skipping null cases misses bugs. Asserting never null is wrong if null is valid.
Final Answer:
Write a test that checks for both null and valid return values. -> Option C
Quick Check:
Test all cases including null = best practice [OK]
Hint: Test all possible return values including null [OK]
Common Mistakes:
Ignoring null return cases in tests
Assuming method never returns null
Skipping tests for edge cases
Recommended
Ready to prove it?
Pass the test and this pattern moves unknownstrongwhile earning +1 Grip toward your certificate.