Testing JPA entities using Spring Boot 2, JUnit 5 and Java 14

In this article we will be looking at how to get started with testing JPA entities and the repository layer using Spring Boot 2.2 , JUnit 5 and Java 14. I have written a similar post here which uses Spring 1.5, JUnit 4 and Java 8. As the changes are significant I decided to keep them separate instead of updating that post.

I will be focusing mostly about the changes I had to make to the code to upgrade the libraries mentioned above. You can find the complete source code on github here.

Let us consider the same example of One-Many relation between SocialMediaSite and a User.

The @DataJpaTest

This remains the key ingredient behind running the JPA related tests in Spring Boot. @DataJpaTest disables full auto configuration and applies configuration related to JPA tests only. This concept hasn’t changed between Spring Boot 1.5 and 2.x. Now, let’s take a look at the areas where the code needed modifications.

Changes to the pom.xml

Upgrading the spring boot version to 2.2.6

		<relativePath /> <!-- lookup parent from repository -->

Upgrading java version to 14


Upgrading the dependency section to exclude JUnit 4

The spring-boot-starter-test dependency includes the vintage JUnit 4 and JUnit 5 dependencies.Since we will be using JUnit 5, we will exclude the vintage one.


Junit 5 consists of 3 different sub projects – The JUnit engine , JUnit vintage ( Junit 3 and 4) and JUnit Jupiter( JUnit5). All JUnit 5 annotations reside in org.junit.jupiter.api package.

Support for preview features in Java 14


Use of the Record type

Record type has been added as a preview feature in Java 14. The EmailAddress class has now been modified as a Record type. This was a value object before.

public record EmailAddress(String emailAddress) {

	public static final Pattern VALID_EMAIL_ADDRESS_REGEX = Pattern.compile("^[A-Z0-9._%+-]+@[A-Z0-9.-]+\\.[A-Z]{2,6}$",

	public EmailAddress {
		Assert.isTrue(isValid(emailAddress), "Email Address is Invalid !");

	private static boolean isValid(String emailAddress) {
		return emailAddress != null ? VALID_EMAIL_ADDRESS_REGEX.matcher(emailAddress).matches() : false;

Changes to the Test classes
  1. There is no need to add the @RunWith(SpringRunner.class) annotation anymore.
  2. The @Before annotation has been now replaced with @BeforeEach to perform any kind of setup before each test. Similarly the @After has been replaced with @AfterEach.
  3. The @Rule and @ExpectedException had been removed from JUnit5. The test classes have been refactored to reflect the same. The assertThrows and assertEquals method from the JUnit5 library have been used instead.
public void testShouldReturnExceptionForInvalidEmailAddress() {
	var exception = assertThrows(IllegalArgumentException.class, () -> new EmailAddress("test@.com"));
	assertEquals(exception.getMessage(), "Email Address is Invalid !");

The assertThrows method takes a functional interface, Executable as second parameter. We pass the block of code that needs to be executed to Executable.


The @DataJpaTest helps us to test the JPA entities and the repository layer. This is also called as test slicing as we are testing only the JPA components.The @DataJpaTest annotation contains @ExtendWith(SpringExtension.class) which integrates the Spring Testing framework with JUnit 5 model.

We have not explored many features of JUnit5 in this example but the combination of Spring Boot’s testing features and JUnit5 does make a powerful combination.

Using Spock to test JPA entities in a Spring Boot application

In my previous post we saw how to test JPA entities along with the Spring Data repository layer in a Spring Boot based application. We made use of JUnit and the AssertJ library.

In this post we will look at how to use the Spock framework to test the same. In fact, in this example, I will be using a combination of Spock based tests along with JUnit tests.To know more about the Spock framework, view the official site here. Spock is a testing and specification framework for Java and Groovy applications.

Let’s get started…

Setup using maven: ( pom.xml)  

  1. We need to add the spock-spring dependency. This will bring in the dependencies required to run Spock based tests in a Spring boot based application.
  2. Notice the use of <spock.version>1.1-groovy-2.4</spock.version>. We are overriding the spock version. Spring Boot 1.5.4 brings in version 1.0 of Spock, however this needs a @ContextConfiguration to run Spock based tests in a Spring Boot application. Overriding the version to 1.1 removes the need to add this annotation.
  3. In the plugin section , we need to add the dependency for groovy-eclipse-compiler which will compile the groovy code. Spock is based on groovy and hence using Spock to write tests means we write groovy code.

Test classes using Spock

As mentioned in my earlier post, let us consider the same example of 2 JPA entities, SocialMediaSite and Users ( OneToMany). A User has an email which we represented as EmailAddress value object.  The test class for this looks as follows:


  1. The test class extends spock.lang.Specification. This is how you begin writing a Spock based test.
  2. Notice the method names are strings, nice descriptive methods names.
  3. The when/then syntax is for assertions. It’s like saying, “Hey, when this happens then check these things”.
  4. The where section is the first test method above is data driven.Notice the first 2 columns, emailAddress and a blank. This is because data driven tables in Spock need 2 columns. We need just one. The next rows supply data to the same method.Hence this method is run with all the values mentioned in the first column starting from the 2nd row. Now that is awesome compared to writing multiple methods which do the same thing or if you are using TestNG, this is done using a DataProvider.
  5. Notice that we have not used any Assertion library here. In Spock this is done using ==.


Notice the @DataJpaTest annotation on the class. It  spawns an in-memory data base and runs our tests  against it. Along with this, the JPA entities are scanned, Transactions, Hibernate  and Spring Data are also configured. There is no need to add @ContextConfiguration as we are using Spock 1.1.

Running Spock tests and JUnit tests together

I have added the 2 groovy test files in src/test/groovy.  We can have tests written in JUnit too. I have a JUnit based test class in src/test/java. The groovy eclipse compiler dependency we added in the pom.xml compiles and run tests from both the packages.


This is my first experience with Spock framework and I have thoroughly enjoyed writing tests with it ! There is of course a lot more to the Spock framework. I hope you have enjoyed this quick introduction to Spock for testing Spring Data Repository and JPA entities in a Spring Boot application. The synergy between Spock and the testing changes made in Spring Boot since version 1.4 (test slices) is great !

You can find the project on github.

Testing JPA entities in a Spring Boot application

In this blog we will look at how to get started with testing JPA entities and Spring Data Repository in a Spring Boot based application. We will be using JUnit for the same.

I have observed that a good number of projects do not write any tests for JPA entities or the repository layers which make use of the entities to perform CRUD operations. Writing tests for JPA entities and Spring data repositories can be really effective in checking if all the entities are mapped correctly and ensuring that the repository methods implemented by Spring Data along with the custom methods that you write are behaving in the right way. After all , most applications always talk to a database and if your data is not being handled properly, what is the point of having a great user interface or a well designed business layer ?

Since Spring Boot 1.4, testing these layers has become quite easy and more focused. Let us consider a simple One-Many relation between 2 entities, SocialMediaSite and  a User.

A SocialMediaSite can have many users which is mapped using the @OneToMany JPA annotation.



Notice that EmailAddress is  a value object.

SocialMediaRepository.java – This is a Spring Data Repository interface( a proxy instance is created via Spring to back this interface)

SocialMediaSiteEntityTest.java –  Test the JPA entities.

The setUp method annotated with the @Before annotation above initializes some mock data that we can use for the tests.

The key takeaways from this class:

  1.  @RunWith(SpringRunner .class) – This brings together JUnit and the Spring test  module. The  SpringRunner class extends SpringJUnit4ClassRunner, so it is pretty  much the  same that was used earlier. Shorter class names are always pleasing to  the eye.
  2.  @DataJpaTest   This is the most important annotation for testing JPA entities in a  Spring Boot application. It  spawns an in-memory data base and runs our tests  against it. Along with this, the  JPA entities are scanned, Transactions, Hibernate  and Spring Data are also configured.
  3.  TestEntityManager   The @DataJpaTest also configures a TestEntityManager, this  is an alternative to the EntityManager. It actually makes use of the EntityManager  but has a nice set of methods like persistAndGetId, persistAndFlush etc.
  4.  AssertJ  The code above uses the AssertJ library to perform all the assertions, this  is a nice way to get all the assertions done very fluently ! This is pulled in by the  spring-boot-starter-test dependency.
  5.  Junit – This is also pulled in by the spring-boot-starter-test dependency

On similar lines, the tests for the Repository class can also be written as shown below.

SocialMediaSiteRepositoryTest .java


As you can see, testing JPA entities and the repository layer in a Spring Boot based application is quite simple. We don’t need configuration for the entire application(all layers) to test the database related functionality. Using the @DataJpaTest in Spring boot helps us in configuring and testing just the JPA section in the code.

Writing good tests for the JPA/Hibernate entities and the repository layer against an embedded database can be extremely useful in the long run. Any changes in the database schema or in the entity mapping which might lead to issues at run time can be caught immediately. In addition one can also see the SQL queries being executed which can be extremely useful.

You can find the code on github.

Note: In case you are are interested in testing JPA entities using Spring Boot 2, JUnit 5 and Java 14 , read my post here .