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Try modifying the first component in the expression to change the frequency of the trigger or at which second in the minute the trigger starts You should also try modifying other components to see what effects you get The CronTrigger class is great for almost all trigger requirements However, expressions can quickly become convoluted when you need to program exceptions to the rule For instance, consider a process that checks a task list for a user every Monday, Wednesday, and Friday at 11:00 am and 3:00 pm Now, consider what happens when you want to prevent this trigger from firing when the user is on vacation Thankfully, Quartz provides support for this via the Calendar interface Using the Calendar interface, you can accurately define a period that should either be explicitly included or explicitly excluded from a trigger s normal schedule.

The following sections compare log shipping directly with the other SQL Server availability technologies.

Quartz comes with six implementations of Calendar, one of which is the HolidayCalendar that stores a list of days to be excluded from a trigger s schedule Listing 12-20 shows a modification of the previous example that uses a HolidayCalendar to exclude December 25, 2007 Listing 12-20 Explicitly Excluding Dates with HolidayCalendar package comapressprospring2ch12quartz; import javautilCalendar; import javautilMap; import import import import import import orgquartzCronTrigger; orgquartzJobDetail; orgquartzScheduler; orgquartzTrigger; orgquartzimplStdSchedulerFactory; orgquartzimplcalendarHolidayCalendar;.

Note You must be logged in as a user who is a member of the SSRS 2005 System Administrators role to

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Database mirroring and log shipping are both based on some of the same technologies. Using synchronous database mirroring with automatic failover is a huge benefit over either asynchronous database mirroring or log shipping where you would need to switch to your other server manually. Database mirroring is also more granular than log shipping since it sends transactions to a standby server per transaction, not per transaction log backup. Database mirroring also has the ability to abstract the server name change if your application is coded properly; log shipping has no such option. There is also the chance that database mirroring may perform better than log shipping. Disk I/O for log shipping can potentially be highly serialized. As with database mirroring, performance of the disk on the receiver will impact performance of the data load, but instead of waiting for a whole log to load, you will have more granular applications and be more in sync, even if you are using a high-performance mode of database mirroring.

public class CronWithCalendarExample { public static void main(String[] args) throws Exception { Scheduler scheduler = new StdSchedulerFactory().getScheduler(); scheduler.start(); // create a calendar to exclude a particular date Calendar cal = Calendar.getInstance(); cal.set(2007, Calendar.DECEMBER, 25); HolidayCalendar calendar = new HolidayCalendar(); calendar.addExcludedDate(cal.getTime()); // add to scheduler scheduler.addCalendar("xmasCalendar", calendar, true, false); JobDetail jobDetail = new JobDetail("messageJob", Scheduler.DEFAULT_GROUP, MessageJob.class);

Since there are different forms of replication, I will compare log shipping to the main three: snapshot, merge, and transactional In general, log shipping is much better for availability or disaster recovery because it protects your whole database, whereas replication is generally only used for a subset of data If you need a reporting solution, replication beats log shipping hands down because even if you restore your secondary database WITH STANDBY, your users will have to be knocked out of the database each time a transaction log is loaded If they are not, your database cannot be updated Snapshot replication does not really compare to log shipping since it is refreshing the whole thing Merge replication, in its own way, is like log shipping since it only pushes changes since the last time data was replicated It only sends over changes as defined as part of the publication.

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