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Looking at the code of the LoggingSampleService, we can see that we deliberately try to save the LogEntry object with a null name, which causes an exception. The advice catches the exception and rolls back the transaction and, therefore, the first two log entries. If the timing is favorable, we do not insert the LogEntry object with null name and insert only the final LogEntry object. So, for a successful call, we should get three rows in the t_log_entry table, and we should get no rows for a failed call. Let s verify this in code (see Listing 11-27) as well as in SQL*Plus client. Listing 11-27. Using the SampleService public class SampleServiceDemo { public static void main(String[] args) throws Exception { DaoDemoUtils.buildJndi(); ApplicationContext ac = new ClassPathXmlApplicationContext(new String[] { "classpath*:/com/apress/prospring2/ch11/dataaccess/ datasource-context-tx.xml", "classpath*:/com/apress/prospring2/ch11/service/*-context.xml" }); SampleService sampleService = (SampleService)ac.getBean("sampleService"); LogEntryDao logEntryDao = (LogEntryDao) ac.getBean("logEntryDao"); int successCount = 0; int failureCount = 0; int before = logEntryDao.getAll().size(); for (int i = 0; i < 10; i++) { if (tryWork(sampleService)) { successCount++; } else { failureCount++; } } System.out.println("Inserted " + (logEntryDao.getAll().size() - before) + ", for " + successCount + " successes and " + failureCount + " failures"); } private static boolean tryWork(SampleService sampleService) { try { sampleService.work(); return true; } catch (Exception e) { // do nothing (BAD in production) } return false; } } The result of running this class varies every time, but the numbers of inserted objects match the expected results: Inserted 15, for 5 successes and 5 failures

Then we would use the results of the interviews, including our follow-up questions and our own observations, to enter data into the assessments form, giving us the capability to reflect on each question and choose the best answer for the organization we were working with In this chapter, I will describe the Microsoft Application Platform Optimization model I ll walk you through the two Application Platform Capability Assessments I use as well as the Microsoft Assessment Builder (aka Roadmap Builder) Finally, I ll show you one way of carrying out an assessment of an organization s IT department..

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We can also verify this in SQL*Plus using the code shown in Listing 11-28. Listing 11-28. Further Verification of the Transaction Code $ sqlplus PROSPRING/x*****6@//oracle.devcake.co.uk/INTL SQL> truncate table t_log_entry 2 / Table truncated. SQL> exit $ java -cp $CLASSPATH com.apress.prospring2.ch11.service.SampleServiceDemo ... output truncated ... Inserted 15, for 5 successes and 5 failures $ sqlplus PROSPRING/x*****6@//oracle.devcake.co.uk/INTL SQL> select count(0) from t_log_entry 2 / COUNT(0) ---------15 It worked! We have run the sample application and verified that for five successful service calls we have 15 rows in the t_log_entry table, exactly as we expected.

Figure 3-4. Evaluate Policies dialog box If multiple targets had failed the policy evaluation, a check box would appear beside each of the failed targets. Alternatively, you can select the check box beside the policy name in the Results section to select all of the failed targets at once. Note that not all failed policies can be resolved in this manner, as some policies require more steps than a single configuration change for their condition to return true. You could also script out the changes that would be made if you clicked the Apply button by selecting the targets that you want to fix and choosing an option from the Script drop-down list, as shown in Figure 3-5.

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