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@Pointcut("execution(* com.apress.prospring2.ch06.services.*.*(..))") private void serviceExecution() { } @Pointcut( "execution(* com.apress.prospring2.ch06.services.UserService.login(..))") private void loginExecution() { } @Before("serviceExecution() && !loginExecution()") public void beforeLogin() throws Throwable { if (SecurityContext.getCurrentUser() == null) throw new RuntimeException("Must login to call this method."); } } When we run the sample application now, it succeeds: we are allowed to call the UserService.login method even without being logged in, but we must be logged in to call all other methods.

As its name suggests, after returning advice runs after the target method finishes normally. To finish normally means that the method has not thrown any exceptions. The usual application for after returning advice is to perform auditing. Let s take the code in Listing 6-25, which shows after returning advice. Listing 6-25. After Returning Advice @Aspect public class AfterAspect { @AfterReturning("execution(* com.apress.prospring2.ch06.services.*.*(..))") public void auditCall() { System.out.println("After method call"); } } This aspect defines one piece after returning advice for execution of all methods in all classes in the com.apress.prospring2.ch06.services package. To implement the sample application, let s begin the configuration file from Listing 6-26. Listing 6-26. XML Configuration File for the Sample Application < xml version="1.0" encoding="UTF-8" > <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:aop="http://www.springframework.org/schema/aop" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop.xsd"> <bean id="userService" class="com.apress.prospring2.ch06.services.UserService"/> <bean id="stockService" class="com.apress.prospring2.ch06.services.StockService"/>

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Figure 1-10 A traditional multitier application design When we have several applications trying to access each other s functions, problems may arise Imagine what happens when a new application needs to access data from another There are ways to solve this, as position 2 of this figure shows We simply let the data layer of the new application access the business interface layer of the first This way, we can reuse the logic that already existed and not spread database security and rights management around If we have only a few applications, this works fine, but as you can see in position 3, things can get pretty complicated when only a few more new applications are introduced Most large enterprises have perhaps hundreds of applications spread across the company s different locations.

public void setExceptionLogDao(ExceptionLogDao exceptionLogDao) { this.exceptionLogDao = exceptionLogDao; } } You can see that we record method performance and possible exceptions. We will use this information in the PerformanceMonitoringAspect. As its name suggests, this aspect is going to monitor the performance of the application. The aspect needs before and after advice; the before advice will record a start of the method call; the after advice will match and remove the start record. You may ask why we cannot use an around advice, as doing so would simplify tracking. The reason is that we need to be able to find out that a particular method is taking much longer than usual while it is still running. If we had implemented the health monitoring using around advice, our code would only find out that the method took much longer after it completed. Listing 6-77 outlines the implementation of the aspect. Listing 6-77. Outline Implementation of the PerformanceMonitoringAspect @Aspect public class PerformanceMonitoringAspect { @Pointcut("execution(* com.apress.prospring2.ch06.services.*.*(..))") private void serviceCall() { } @Before(value = "serviceCall() && target(target)", argNames = "jp, target") public void logStartCall(JoinPoint jp, Object target) { // log start call } @After(value = "serviceCall() && target(target)", argNames = "jp, target") public void logEndCall(JoinPoint jp, Object target) { // log end call } } The logging infrastructure must insert a record for each start call and remove it after the method finishes. The last component is the PerformanceMonitor class, which periodically scans the call log and for all entries found in the call log, checks the statistics collected in the PerformanceAndHealthMonitoringAspect. If the PerformanceMonitor finds a call that is taking much longer than usual, it can alert the application s administrators.

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