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It is extremely easy to export any policy you have already created to an XML file so you can distribute that policy throughout your organization. While you can back up the msdb database to save a copy of all of your policies, exporting a policy to an XML file is another good way to make sure you have a backup of all of your custom policies. To export an existing policy, right-click that policy and select Export Policy from the context menu. This will open the Export Policy dialog box, which allows you to name and save your policy. Just as you can import multiple policies at once, you can also export multiple policies. In order to export multiple policies, however, you must use the Object Explorer Details window. (You can open the Object Explorer Details window from the View menu in SQL Server Management Studio or by pressing F7.) In Object Explorer, select the policies you would like to export, as shown in Figure 2-14, and then right-click a policy and select Export Policy from the context menu. In the dialog box that appears when you are exporting multiple policies, you can specify only the location where you want to export the policies; you cannot enter names for them. If you browse to the directory to which you just exported the policies, you will see that each policy is created with a separate XML file using the original name of the policy.

One of the great features of Quartz is its ability to create stateful, persistent jobs This opens up some great functionality that is not available when you are using Timer-based scheduling With persistent jobs, when you can add jobs to Quartz at runtime, they will still be in your application after a restart Plus, you can modify the JobDataMap passed between executions of a Job, and the changes will still be in effect after a restart In this example, we are going to schedule two jobs, one using Spring configuration mechanisms and one at runtime We ll see how the Quartz persistence mechanism copes with changes to the JobDataMap for these jobs and what happens in subsequent executions of the application To start with, you need to create a database in which Quartz can store the Job information In the Quartz distribution we used version 16.

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If our projects are not successful, the whole ALM process will suffer. The reason why we should take control of the ALM process is that we can deliver better projects; having an overall process helps us. And with this process comes a mindset focused on the application from its birth as a business need to the delivered business value. Measuring project success or failure is complicated. We need to take this into consideration when we read surveys stating that this or that many projects succeed. The importance of an overall ALM process is that it can help us control the project outcome better in the end, enabling us to deliver true business value. The work-down paradigm mentioned earlier has a widely accepted iron triangle showing the relationship between time, resources, and functionality (Figure 1-7).11

0 you will find a selection of database scripts for a variety of different RDBMS flavors For the example here, we use Oracle, but you should not encounter problems using a different database as long as Quartz has a database script for it For version 160, try the docs/dbTables subfolder of the Quartz distribution Once you have located the script for your database, execute it against your database and verify that 12 tables, each with the prefix qrtz, have been created Next, create your test Job Because we want to make changes to JobDataMap during Job execution, we need to flag to Quartz that it should treat this as a stateful Job We do this by implementing the StatefulJob interface rather than the Job interface This is shown in Listing 12-23 Listing 12-23 Creating a Stateful Job package comapressprospring2ch12quartzspring; import javautil.

Map; import orgquartzJobExecutionContext; import orgquartzJobExecutionException; import orgquartzStatefulJob; public class PersistentJob implements StatefulJob { public void execute(JobExecutionContext context) throws JobExecutionException { Map map = contextgetJobDetail()getJobDataMap(); Systemoutprintln("[" + contextgetJobDetail()getName() + "]" + mapget("message")); mapput("message", "Updated Message"); } } The StatefulJob interface does not declare additional methods for your class to implement; it is simply a marker telling Quartz that it should persist the JobDetail after every execution Here, you can see that we display the message that is stored in the JobDataMap along with the name of the Job The next steps are to configure the Job in Spring and configure the Scheduler with a DataSource it can use for persistence, as shown in Listing 12-24..

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