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We are now ready to profile the sample application to collect statistical information about its performance: [YourKit Java Profiler 7.0.12] [YourKit Java Profiler 7.0.12] [YourKit Java Profiler 7.0.12] [YourKit Java Profiler 7.0.12] available for 1.5.0 [YourKit Java Profiler 7.0.12] Java dictionary [YourKit Java Profiler 7.0.12] [YourKit Java Profiler 7.0.12] CPU profiling is started Profiler agent is listening on port 10001... Launching profiler UI (...) [UI] [JavaAppLauncher] A 64-bit JVM is [UI] [JavaAppLauncher] JVMArchs not found in CPU profiling is stopped CPU profiling is started
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s Supplier 12 Hibernate: select invoice0_.id as id1_, ... where invoice0_.supplier=supplier1_.id and (supplier1_.name like ) Hibernate: select supplier0_.id as id3_0_, ... where supplier0_.id= Hibernate: select lines0_.invoice as invoice1_, ... where invoice0_.supplier=supplier1_.id and (supplier1_.name like )) Hibernate: select discounts0_.invoice_line as invoice5_1_, ... where invoice0_.supplier=supplier1_.id and (supplier1_.name like ))) [Result] s Supplier 4% Hibernate: select invoice0_.id as id1_, ... where invoice0_.supplier=supplier1_.id and (supplier1_.name like ) Hibernate: select ... Hibernate: select ... Hibernate: select ... Hibernate: select ... ... Hibernate: select lines0_.invoice as invoice1_, ... where invoice0_.supplier=supplier1_.id and (supplier1_.name like )) Hibernate: select discounts0_.invoice_line as invoice5_1_, ... where invoice0_.supplier=supplier1_.id and (supplier1_.name like ))) [Result]
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The next step is to modify the PowerShell script. To do so, right-click the script file (EPM_EnterpriseEvaluation_3.0.0.ps1), and select Edit to open the file in Notepad, as shown in Figure 82. (You may use any text editor to edit the file.) Notice the highlighted values in the figure. These are the ones you should change to suit your environment.
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i 12400 Hibernate: select invoice0_.id as id1_, ... where invoice0_.id= Hibernate: select supplier0_.id as id3_0_, ... where supplier0_.id= Hibernate: select lines0_.invoice as invoice1_, ... where lines0_.invoice= Hibernate: select discounts0_.invoice_line as invoice5_1_, ... where lines0_.invoice= ) com.apress.prospring2.ch23.domain.Invoice@b8286101 i 13400 Hibernate: select invoice0_.id as id1_, ... where invoice0_.id= Hibernate: select supplier0_.id as id3_0_, ... where supplier0_.id= Hibernate: select lines0_.invoice as invoice1_, ... where lines0_.invoice= Hibernate: select discounts0_.invoice_line as invoice5_1_, ... where lines0_.invoice= ) com.apress.prospring2.ch23.domain.Invoice@b9034a31 s Supplier 22 Hibernate: select invoice0_.id as id1_, ... where invoice0_.supplier=supplier1_.id and (supplier1_.name like ) Hibernate: select supplier0_.id as id3_0_, ... where supplier0_.id= Hibernate: select lines0_.invoice as invoice1_, ... where invoice0_.supplier=supplier1_.id and (supplier1_.name like )) Hibernate: select discounts0_.invoice_line as invoice5_1_, ... where invoice0_.supplier=supplier1_.id and (supplier1_.name like ))) [Result] i 13456 Hibernate: select invoice0_.id as id1_, ... where invoice0_.id= Hibernate: select supplier0_.id as id3_0_, ... where supplier0_.id= Hibernate: select lines0_.invoice as invoice1_, ... where lines0_.invoice= Hibernate: select discounts0_.invoice_line as invoice5_1_, ... where lines0_.invoice= ) com.apress.prospring2.ch23.domain.Invoice@b9078a34 q [YourKit Java Profiler 7.0.12] Snapshot is saved to /Users/janm/Snapshots/CliDemo-2008-05-06-shutdown(1).snapshot We have collected a performance snapshot with the YourKit profiler. We will analyze the performance snapshot to find out which method took the longest. To do this, we will use the method list in YourKit s CPU view (see Figure 22-3).
Figure 22-3. YourKit profiler method list We can see that the application spends all of its time in the CliDemo.main(String[]) method, followed by CliDemo.run(), JdkDynamicAopProxy.invoke(. . .), and so on. There is nothing we can do about the main method (in fact, this is correct: the program spends all its time running the main method!), the first method that we can focus on tuning is HibernateTemplate.find(String, Object). Further, we can see that this method is called from the HibernateInvoiceDao.getSupplierByName and HibernateInvoiceDao.getById methods. Having found which methods are causing the most delay, we can now focus our attention on improving the performance of those methods.
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