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Lightrun – Third Party Code

We rely on other people’s code in our own work. Every day. It might be the language you’re writing in, the framework you’re building on, or some esoteric piece of software that does one thing so well you never found the need to implement it yourself.

The problem is, of course, when things fall apart in production - debugging the implementation of a 3rd party library you have no intimate knowledge of is, to say the least, tricky. It’s difficult to understand what talks to what and, specifically, which part of the underlying library is at fault.

Lightrun is a new kind of debugger.

It's one geared specifically towards real-life production environments. Using Lightrun, you can drill down into running applications, including 3rd party dependencies, with real-time logs, snapshots, and metrics. No hotfixes, redeployments, or restarts required.

Learn more in this quick, 5-minute Lightrun tutorial:

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Table of Contents

1. Overview

There are many ways to test the Service Layer of an application. The goal of this article is to show one way of unit testing this layer in isolation, by mocking out the interactions with the database entirely.

This example will use Spring for the dependency injection, JUnit, Hamcrest and Mockito for testing, but the technologies can vary.

2. The Layers

The typical java web application will have a service layer on top of a DAL/DAO layer which in turn will calls the raw persistence layer.

1.1. The Service Layer

public class FooService implements IFooService{

   IFooDAO dao;

   public Long create( Foo entity ){
      return this.dao.create( entity );


1.2. The DAL/DAO Layer

public class FooDAO extends HibernateDaoSupport implements IFooDAO{

   public Long create( Foo entity ){
      Preconditions.checkNotNull( entity );

      return (Long) this.getHibernateTemplate().save( entity );


3. Motivation and Blurring the Lines of the Unit Test

When unit testing a service, the standard unit is usually the service class, simple as that. The test will mock out the layer underneath – in this case the DAO/DAL layer and verify the interactions on it. Exact same thing for the DAO layer – mocking out the interactions with the database (HibernateTemplate in this example) and verifying the interactions with that.

This is a valid approach, but it leads to brittle tests – adding or removing a layer almost always means rewriting the tests entirely. This happens because the tests rely on the exact structure of the layers, and a change to that means a change to the tests.

To avoid this kind of inflexibility, we can grow the scope of the unit test by changing the definition of the unit – we can look at a persistent operation as a unit, from the Service Layer through the DAO and all the way day to the raw persistence – whatever that is. Now, the unit test will consume the API of the Service Layer and will have the raw persistence mocked out – in this case, the HibernateTemplate:

public class FooServiceUnitTest{

   FooService instance;

   private HibernateTemplate hibernateTemplateMock;

   public void before(){
      this.instance = new FooService();
      this.instance.dao = new FooDAO();
      this.hibernateTemplateMock = mock( HibernateTemplate.class );
      this.instance.dao.setHibernateTemplate( this.hibernateTemplateMock );

   public void whenCreateIsTriggered_thenNoException(){
      // When
      this.instance.create( new Foo( "testName" ) );

   @Test( expected = NullPointerException.class )
   public void whenCreateIsTriggeredForNullEntity_thenException(){
      // When
      this.instance.create( null );

   public void whenCreateIsTriggered_thenEntityIsCreated(){
      // When
      Foo entity = new Foo( "testName" );
      this.instance.create( entity );

      // Then
      ArgumentCaptor< Foo > argument = ArgumentCaptor.forClass( Foo.class );
      verify( this.hibernateTemplateMock ).save( argument.capture() );
      assertThat( entity, is( argument.getValue() ) );


Now the test only focuses on a single responsibility – when creation is triggered, does the creation reach the database?

The last test uses Mockito verification syntax to check that the save method has been called on the hibernate template, capturing the argument in the process so that it can be checked as well. The responsibility of creating the entity is verified via this interaction test, without the need to check any state – the test trusts that the hibernate save logic is working as intended. Of course that needs to be tested as well, but that is another responsibility and another type of test.

4. Conclusion

This technique invariably leads to more focused tests, which makes them more resilient and flexible to change. The only reason the test should now fail is because the responsibility under test is broken.

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