- •contents
- •preface
- •acknowledgments
- •about this book
- •Special features
- •Best practices
- •Design patterns in action
- •Software directory
- •Roadmap
- •Part 1: JUnit distilled
- •Part 2: Testing strategies
- •Part 3: Testing components
- •Code
- •References
- •Author online
- •about the authors
- •about the title
- •about the cover illustration
- •JUnit jumpstart
- •1.1 Proving it works
- •1.2 Starting from scratch
- •1.3 Understanding unit testing frameworks
- •1.4 Setting up JUnit
- •1.5 Testing with JUnit
- •1.6 Summary
- •2.1 Exploring core JUnit
- •2.2 Launching tests with test runners
- •2.2.1 Selecting a test runner
- •2.2.2 Defining your own test runner
- •2.3 Composing tests with TestSuite
- •2.3.1 Running the automatic suite
- •2.3.2 Rolling your own test suite
- •2.4 Collecting parameters with TestResult
- •2.5 Observing results with TestListener
- •2.6 Working with TestCase
- •2.6.1 Managing resources with a fixture
- •2.6.2 Creating unit test methods
- •2.7 Stepping through TestCalculator
- •2.7.1 Creating a TestSuite
- •2.7.2 Creating a TestResult
- •2.7.3 Executing the test methods
- •2.7.4 Reviewing the full JUnit life cycle
- •2.8 Summary
- •3.1 Introducing the controller component
- •3.1.1 Designing the interfaces
- •3.1.2 Implementing the base classes
- •3.2 Let’s test it!
- •3.2.1 Testing the DefaultController
- •3.2.2 Adding a handler
- •3.2.3 Processing a request
- •3.2.4 Improving testProcessRequest
- •3.3 Testing exception-handling
- •3.3.1 Simulating exceptional conditions
- •3.3.2 Testing for exceptions
- •3.4 Setting up a project for testing
- •3.5 Summary
- •4.1 The need for unit tests
- •4.1.1 Allowing greater test coverage
- •4.1.2 Enabling teamwork
- •4.1.3 Preventing regression and limiting debugging
- •4.1.4 Enabling refactoring
- •4.1.5 Improving implementation design
- •4.1.6 Serving as developer documentation
- •4.1.7 Having fun
- •4.2 Different kinds of tests
- •4.2.1 The four flavors of software tests
- •4.2.2 The three flavors of unit tests
- •4.3 Determining how good tests are
- •4.3.1 Measuring test coverage
- •4.3.2 Generating test coverage reports
- •4.3.3 Testing interactions
- •4.4 Test-Driven Development
- •4.4.1 Tweaking the cycle
- •4.5 Testing in the development cycle
- •4.6 Summary
- •5.1 A day in the life
- •5.2 Running tests from Ant
- •5.2.1 Ant, indispensable Ant
- •5.2.2 Ant targets, projects, properties, and tasks
- •5.2.3 The javac task
- •5.2.4 The JUnit task
- •5.2.5 Putting Ant to the task
- •5.2.6 Pretty printing with JUnitReport
- •5.2.7 Automatically finding the tests to run
- •5.3 Running tests from Maven
- •5.3.2 Configuring Maven for a project
- •5.3.3 Executing JUnit tests with Maven
- •5.3.4 Handling dependent jars with Maven
- •5.4 Running tests from Eclipse
- •5.4.1 Creating an Eclipse project
- •5.4.2 Running JUnit tests in Eclipse
- •5.5 Summary
- •6.1 Introducing stubs
- •6.2 Practicing on an HTTP connection sample
- •6.2.1 Choosing a stubbing solution
- •6.2.2 Using Jetty as an embedded server
- •6.3 Stubbing the web server’s resources
- •6.3.1 Setting up the first stub test
- •6.3.2 Testing for failure conditions
- •6.3.3 Reviewing the first stub test
- •6.4 Stubbing the connection
- •6.4.1 Producing a custom URL protocol handler
- •6.4.2 Creating a JDK HttpURLConnection stub
- •6.4.3 Running the test
- •6.5 Summary
- •7.1 Introducing mock objects
- •7.2 Mock tasting: a simple example
- •7.3 Using mock objects as a refactoring technique
- •7.3.1 Easy refactoring
- •7.3.2 Allowing more flexible code
- •7.4 Practicing on an HTTP connection sample
- •7.4.1 Defining the mock object
- •7.4.2 Testing a sample method
- •7.4.3 Try #1: easy method refactoring technique
- •7.4.4 Try #2: refactoring by using a class factory
- •7.5 Using mocks as Trojan horses
- •7.6 Deciding when to use mock objects
- •7.7 Summary
- •8.1 The problem with unit-testing components
- •8.2 Testing components using mock objects
- •8.2.1 Testing the servlet sample using EasyMock
- •8.2.2 Pros and cons of using mock objects to test components
- •8.3 What are integration unit tests?
- •8.4 Introducing Cactus
- •8.5 Testing components using Cactus
- •8.5.1 Running Cactus tests
- •8.5.2 Executing the tests using Cactus/Jetty integration
- •8.6 How Cactus works
- •8.6.2 Stepping through a test
- •8.7 Summary
- •9.1 Presenting the Administration application
- •9.2 Writing servlet tests with Cactus
- •9.2.1 Designing the first test
- •9.2.2 Using Maven to run Cactus tests
- •9.2.3 Finishing the Cactus servlet tests
- •9.3 Testing servlets with mock objects
- •9.3.1 Writing a test using DynaMocks and DynaBeans
- •9.3.2 Finishing the DynaMock tests
- •9.4 Writing filter tests with Cactus
- •9.4.1 Testing the filter with a SELECT query
- •9.4.2 Testing the filter for other query types
- •9.4.3 Running the Cactus filter tests with Maven
- •9.5 When to use Cactus, and when to use mock objects
- •9.6 Summary
- •10.1 Revisiting the Administration application
- •10.2 What is JSP unit testing?
- •10.3 Unit-testing a JSP in isolation with Cactus
- •10.3.1 Executing a JSP with SQL results data
- •10.3.2 Writing the Cactus test
- •10.3.3 Executing Cactus JSP tests with Maven
- •10.4 Unit-testing taglibs with Cactus
- •10.4.1 Defining a custom tag
- •10.4.2 Testing the custom tag
- •10.5 Unit-testing taglibs with mock objects
- •10.5.1 Introducing MockMaker and installing its Eclipse plugin
- •10.5.2 Using MockMaker to generate mocks from classes
- •10.6 When to use mock objects and when to use Cactus
- •10.7 Summary
- •Unit-testing database applications
- •11.1 Introduction to unit-testing databases
- •11.2 Testing business logic in isolation from the database
- •11.2.1 Implementing a database access layer interface
- •11.2.2 Setting up a mock database interface layer
- •11.2.3 Mocking the database interface layer
- •11.3 Testing persistence code in isolation from the database
- •11.3.1 Testing the execute method
- •11.3.2 Using expectations to verify state
- •11.4 Writing database integration unit tests
- •11.4.1 Filling the requirements for database integration tests
- •11.4.2 Presetting database data
- •11.5 Running the Cactus test using Ant
- •11.5.1 Reviewing the project structure
- •11.5.2 Introducing the Cactus/Ant integration module
- •11.5.3 Creating the Ant build file step by step
- •11.5.4 Executing the Cactus tests
- •11.6 Tuning for build performance
- •11.6.2 Grouping tests in functional test suites
- •11.7.1 Choosing an approach
- •11.7.2 Applying continuous integration
- •11.8 Summary
- •Unit-testing EJBs
- •12.1 Defining a sample EJB application
- •12.2 Using a façade strategy
- •12.3 Unit-testing JNDI code using mock objects
- •12.4 Unit-testing session beans
- •12.4.1 Using the factory method strategy
- •12.4.2 Using the factory class strategy
- •12.4.3 Using the mock JNDI implementation strategy
- •12.5 Using mock objects to test message-driven beans
- •12.6 Using mock objects to test entity beans
- •12.7 Choosing the right mock-objects strategy
- •12.8 Using integration unit tests
- •12.9 Using JUnit and remote calls
- •12.9.1 Requirements for using JUnit directly
- •12.9.2 Packaging the Petstore application in an ear file
- •12.9.3 Performing automatic deployment and execution of tests
- •12.9.4 Writing a remote JUnit test for PetstoreEJB
- •12.9.5 Fixing JNDI names
- •12.9.6 Running the tests
- •12.10 Using Cactus
- •12.10.1 Writing an EJB unit test with Cactus
- •12.10.2 Project directory structure
- •12.10.3 Packaging the Cactus tests
- •12.10.4 Executing the Cactus tests
- •12.11 Summary
- •A.1 Getting the source code
- •A.2 Source code overview
- •A.3 External libraries
- •A.4 Jar versions
- •A.5 Directory structure conventions
- •B.1 Installing Eclipse
- •B.2 Setting up Eclipse projects from the sources
- •B.3 Running JUnit tests from Eclipse
- •B.4 Running Ant scripts from Eclipse
- •B.5 Running Cactus tests from Eclipse
- •references
- •index
Testing business logic in isolation from the database |
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and most generic solution is to create a database access layer that handles all database access. (In this case, it’s a single class.) The trick is then to create an interface for the database access layer. Given an interface, you can unit-test database access using the mock-objects strategy (see chapter 7).
11.2.1 Implementing a database access layer interface
Let’s call this interface DataAccessManager (listing 11.1) and the implementation
JdbcDataAccessManager.
Listing 11.1 Isolating the database access layer: DataAccessManager.java
package junitbook.database; import java.util.Collection;
public interface DataAccessManager
{
Collection execute(String sql) throws Exception;
}
Now that you have a data access interface, you need to refactor the AdminServlet class to use that interface and to instantiate the JdbcDataAccessManager implementation of DataAccessManager. Listing 11.2 demonstrates this refactoring.
Listing 11.2 Isolating the database access layer: AdminServlet.java
package junitbook.database;
import java.util.Collection;
import javax.naming.NamingException; import javax.servlet.ServletException; import javax.servlet.http.HttpServlet;
244CHAPTER 11
Unit-testing database applications
public class AdminServlet extends HttpServlet
{
// [...]
private DataAccessManager dataManager;
public void init() throws ServletException
{
super.init();
try
{
this.dataManager = new JdbcDataAccessManager();
}
catch (NamingException e)
{
throw new ServletException(e);
}
}
public Collection executeCommand(String command) throws Exception
{
return this.dataManager.execute(command);
}
}
Writing a unit test for a method of the AdminServlet class is now easy. All you need to do is create a mock-object implementation of DataAccessManager. The only tricky part is deciding how to pass the mock instance to the AdminServlet class so that it uses the mock instead of the real JdbcDataAccessManager implementation.
11.2.2Setting up a mock database interface layer
There are several strategies you could use to pass a DataAccessManager mock object to AdminServlet:
■Create a constructor that accepts the DataAccessManager interface as a parameter.
■Create a setter method (setDataAccessManager(DataAccessManager manager)).
■Extend AdminServlet to override the executeCommand method and return the result of calling the mock’s executeCommand method.
■Make the data access manager implementation a parameter of your application by defining the class name in the web.xml as an AdminServlet initialization parameter.
Testing business logic in isolation from the database |
245 |
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The challenge is to use the most natural solution—either the one that makes the class more flexible and extensible or the one that requires the fewest changes. The constructor solution is really not natural in this case, because the class is a servlet and a servlet must only have a default constructor. Extending AdminServlet sounds nice, because it doesn’t involve modifying the AdminServlet class; but this approach has the drawback that the test won’t exercise AdminServlet but rather the class that extends it. The web.xml solution sounds even nicer; but then you have to make the DataAccessManager implementation class an application parameter, which may not be your intent. (In this case, it isn’t.)
In this case, the setter solution sounds most natural. Listing 11.3 shows the implementation. The refactoring performed is shown in bold; all you do is add a setDataAccessManager method.
Listing 11.3 Setter approach to introduce DataAccessManager mock
package junitbook.database;
import java.util.Collection;
import javax.naming.NamingException; import javax.servlet.ServletException; import javax.servlet.http.HttpServlet;
public class AdminServlet extends HttpServlet
{
// [...]
private DataAccessManager dataManager;
public void setDataAccessManager(DataAccessManager manager)
{
this.dataManager = manager;
}
public void init() throws ServletException
{
super.init();
try
{
setDataAccessManager(new JdbcDataAccessManager());
}
catch (NamingException e)
{
throw new ServletException(e);
}
}
public Collection executeCommand(String command) throws Exception
246CHAPTER 11
Unit-testing database applications
{
return this.dataManager.execute(command);
}
}
11.2.3Mocking the database interface layer
Listing 11.4 is a test case template that demonstrates how to create and use a mock DataAccessManager class for unit-testing the AdminServlet class. You can now write any mock object unit test using this canvas. The listing demonstrates writing mocks using the DynaMock API (see chapter 9). However, the strategy will also work with any other mock-object framework (EasyMock, for example).
Listing 11.4 Canvas for mocking the database layer using the DynaMock API
package junitbook.database;
import java.util.ArrayList;
import com.mockobjects.dynamic.Mock; import com.mockobjects.dynamic.C;
import junit.framework.TestCase;
public class TestAdminServletDynaMock extends TestCase
{
public void testSomething() throws Exception
{
Mock mockManager = new Mock(DataAccessManager.class); DataAccessManager manager =
(DataAccessManager) mockManager.proxy();
mockManager.expectAndReturn("execute", C.ANY_ARGS, new ArrayList());
AdminServlet servlet = new AdminServlet(); servlet.setDataAccessManager(manager);
//Call the method to test here. For example:
//manager.doGet(request, response)
//[...]
}
}
You start by creating a DataAccessManager mock using the DynaMock API. Next, you tell the mock object to return an empty ArrayList when the execute method