- •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
Unit-testing session beans |
293 |
|
|
try
{
petstore.createOrder(new Date(), "item1"); fail("Should have thrown an EJBException");
}
catch (EJBException e)
{
assertEquals("error", e.getCausedByException().getMessage());
}
}
}
bInstantiate the TestablePetstoreEJB class instead of PetstoreEJB as you would normally do for a standard test case.
cCreate a mock OrderLocal bean and set up TestablePetstoreEJB to return it when its createOrderHelper method is called.
dTell the OrderLocal mock to return the 1234 Integer whenever its getOrderId method is called. Note that if you used expectAndReturn instead of matchAnd-
Return, you would need to write the following two same lines (because expect* calls are expected, whereas match* calls return the specified return value whenever they match the call):
mockOrderLocal.matchAndReturn("getOrderId", new Integer(1234));
mockOrderLocal.matchAndReturn("getOrderId", new Integer(1234));
eIn the tearDown method, you tell the OrderLocal mock to verify the expectations set on it (all the expect* calls you have set up).
fWrite the first test, which verifies that the createOrder method works fine when you pass valid parameters to it.
gVerify that the createOrder method correctly throws an EJBException when a JMSException is thrown when sending the JMS order message.
hUse the mock to simulate the JMSException.
12.4.2Using the factory class strategy
The general idea for this strategy is to add setter methods to introduce all the domain objects used by the methods to test. This then allows you to call these setters, passing them mock objects from the test case classes. Namely, this means introducing protected setOrderUtil(OrderUtil) and setJMSUtil(JMSUtil) methods in the PetstoreEJB class.
294CHAPTER 12
Unit-testing EJBs
The following refactoring tasks are involved to transform the initial Pet-
storeEJB, OrderUtil, and JMSUtil classes:
■Create new OrderUtil and JMSUtil interfaces.
■Add two static private variables to PetstoreEJB.
■Add two methods to set the OrderFactory and JMSUtil domain objects.
Making the interfaces
First, you make OrderUtil and JMSUtil interfaces and rename the old OrderUtil and JMSUtil classes DefaultOrderUtil and DefaultJMSUtil. In addition, during this refactoring it becomes clear that the OrderUtil interface and DefaultOrderUtil class would be better named OrderFactory and DefaultOrderFactory.
This renaming illustrates that performing refactorings also make you think about what you’re doing and usually lets you enhance the code with small improvements. Of course, in the renaming case, you have to be careful not to break public APIs unintentionally. The refactoring yields the following for the OrderFactory class:
public interface OrderFactory
{
OrderLocal createOrder(Date orderDate, String orderItem); OrderLocal getOrder(Integer orderId);
}
public class DefaultOrderFactory implements OrderFactory
{
private static OrderLocalHome orderLocalHome;
protected OrderLocalHome getOrderHome()
{
[...]
}
public OrderLocal createOrder(Date orderDate, String orderItem)
{
[...]
}
public OrderLocal getOrder(Integer orderId)
{
[...]
}
}
Note that you drop the static modifiers on methods (see the initial listing 12.2) because you have moved from a unique OrderUtil static class to a normal DefaultOrderFactory class, allowing several instances to be created (especially a mock one).
Unit-testing session beans |
295 |
|
|
The refactoring for the JMSUtil class gives the following:
public interface JMSUtil
{
void sendToJMSQueue(String queueName, Serializable obj, boolean transacted) throws NamingException, JMSException;
}
public class DefaultJMSUtil implements JMSUtil
{
public void sendToJMSQueue(String queueName, Serializable obj, boolean transacted) throws NamingException, JMSException
{
[...]
}
}
Adding static private variables
Next, you add two static private variables to PetstoreEJB. These variables will hold the default OrderFactory and JMSUtil domain objects to be used by the createOrder method:
public abstract class PetstoreEJB implements SessionBean
{
private static OrderFactory orderFactory = new DefaultOrderFactory();
private static JMSUtil jmsUtil = new DefaultJMSUtil(); [...]
Adding methods to set the domain objects
Finally, add two methods to set OrderFactory and JMSUtil domain objects different from the default ones:
[...]
protected void setOrderFactory(OrderFactory factory)
{
orderFactory = factory;
}
protected void setJMSUtil(JMSUtil util)
{
jmsUtil = util;
}
Creating the test case
You can now use a standard mock-objects approach to create the TestCase, as shown in listing 12.7.
296CHAPTER 12
Unit-testing EJBs
Listing 12.7 TestPetstoreEJB using the factory class strategy
package junitbook.ejb.service;
[...]
public class TestPetstoreEJB extends TestCase
{
private PetstoreEJB petstore; private Mock mockOrderFactory; private Mock mockJMSUtil;
private OrderFactory orderFactory; private JMSUtil jmsUtil;
private Mock mockOrderLocal; private OrderLocal orderLocal;
protected void setUp()
{
petstore = new PetstoreEJB() {};
mockOrderLocal = new Mock(OrderLocal.class); orderLocal = (OrderLocal) mockOrderLocal.proxy();
mockOrderFactory = new Mock(OrderFactory.class); orderFactory = (OrderFactory) mockOrderFactory.proxy();
mockJMSUtil = new Mock(JMSUtil.class); jmsUtil = (JMSUtil) mockJMSUtil.proxy();
petstore.setOrderFactory(orderFactory); |
|
c |
|
||
petstore.setJMSUtil(jmsUtil); |
|
|
mockOrderFactory.expectAndReturn("createOrder", C.args(C.IS_ANYTHING, C.IS_ANYTHING), orderLocal);
mockOrderLocal.matchAndReturn("getOrderId", new Integer(1234));
}
protected void tearDown()
{
mockJMSUtil.verify();
mockOrderFactory.verify();
mockOrderLocal.verify();
}
b
d
public void testCreateOrderOk() throws Exception
{
mockJMSUtil.expect("sendToJMSQueue", C.args(C.IS_ANYTHING, C.eq(new Integer(1234)),
C.IS_ANYTHING));
d
int orderId = petstore.createOrder(new Date(), "item1");
assertEquals(1234, orderId);