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global data in your singleton beans; and you can even cache the results of method invocations. Web server caching depends on the type of web server you use and is out of scope for this chapter. But storing global data in singleton beans is as easy as defining it as properties of the beans. We are going to take a look at how you can cache the results of method invocations. We will not reinvent the wheel by implementing our own caching solution, but we will briefly show you how to use the Cache SpringModule. The concept behind method-level caching is to intercept all invocations of cacheable methods. We will check for a value in the cache that matches the method s name and arguments. If we find one, we ll return the value without calling the target method. If the cache entry for the method s name and arguments is missing, we ll invoke the target method and remember the returned value. The concept is very simple, and you will be glad to hear that practical usage of the Cache SpringModule is just as easy. In fact, all we have to do to enable caching is to add the service-cache-context.xml configuration file and annotate the methods we wish to cache. Listing 22-15 shows the annotated findById method in the DefaultInvoiceService. Listing 22-15. Annotated DefaultInvoiceService.findById public class DefaultInvoiceService implements InvoiceService { ... @Cacheable(modelId = "Invoice") public Invoice findById(Long id) { return this.invoiceDao.getById(id); } ... } Listing 22-16 completes the caching example with the XML configuration file service-cachecontext.xml. Listing 22-16. The service-cache-context.xml Configuration File < 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:oscache="http://www.springmodules.org/schema/oscache" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www.springmodules.org/schema/oscache http://www.springmodules.org/schema/cache/springmodules-oscache.xsd"> <bean id="cacheKeyGenerator" class="org.springmodules.cache.key.HashCodeCacheKeyGenerator"/> <bean id="cacheManager" class="org.springmodules.cache.provider.oscache.~CCC OsCacheManagerFactoryBean"> </bean> <bean id="cacheProviderFacade" class="org.springmodules.cache.provider.oscache.OsCacheFacade"> <property name="cacheManager" ref="cacheManager"/> </bean>

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An organization is not likely to discard a way of working just because the new ALM tool says it cannot import that specific process A lot of money has often been invested in developing a process, and organizations are not likely to be interested in spending the same amount again learning a new one A requirement of ALM 20 is the capability to store the process in a readable format such as XML The benefits are that the process can be easily modified, version controlled, and reported upon The ALM platform should then be able to import the process and execute the application development process descriptions in it Microsoft uses XML to store the development process in VSTS In the XML file the whole process is described, and many different process files can coexist.

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We mentioned earlier that a target could choose to subscribe to a category if the category is not mandated. You can subscribe a database to a category, and all the policies within that category that apply to the database, or any object within the database, will be checked when you evaluate a policy within the category. However, you must be the database owner (dbo) or system administrator (sa) in

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<oscache:annotations providerId="cacheProviderFacade"> <oscache:cacheKeyGenerator refId="cacheKeyGenerator"/> <oscache:caching id="Invoice" refreshPeriod="3600"/> <oscache:flushing id="Invoice"/> </oscache:annotations> </beans> This is all we needed to write to enable method-level caching in our application. When we run it and use the i command, we will see the following results: i 14000 Hibernate: select invoice0_.id as id1_0_, supplier1_.id ... where invoice0_.id= Supplier: Supplier{name='Supplier 40'} Delivery Date: 2007-10-13 09:11:57.0 Invoice Date: 2007-10-13 09:11:57.0 * Product 5 @ 130.5423 + 43.6124 * - 653552471 * - 1488898877 ... * - 1988962599 i 14000 Supplier: Supplier{name='Supplier 40'} Delivery Date: 2007-10-13 09:11:57.0 Invoice Date: 2007-10-13 09:11:57.0 * Product 5 @ 130.5423 + 43.6124 * - 653552471 * - 1488898877 ... * - 1988962599 You can see that there was no cache entry for DefaultInvoiceService.findById(14000L) for the first i 14000 command. The second time we ran the same command (and so executed the same method), there was already an entry in the cache; therefore DefaultInvoiceService.findById(14000L) was never called. Notice that the code in DefaultInvoiceService does not implicitly handle the caching. The only addition to its code is the @Cacheable annotation. You should annotate the methods that invalidate the cache with the @CacheFlush annotation; in our case, we are going to mark the DefaultInvoiceService.save(Invoice) method with the @CacheFlush annotation. This caching approach is applicable to whatever method you choose, even methods in the web tier that return ModelAndView instances. Because a lot of development effort is going into the Cache SpringModule at the time of this writing and the module is changing rapidly, rather than go into any more detail here, we will refer you to https://springmodules.dev.java.net/.

If you are working on an application, be sure to include performance tests as part of your test suite. Listing 22-17 shows the simplest form of performance test that verifies that the DefaultInvoiceService works within a time limit.

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