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The first and second arguments passed to the SimpleTrigger constructor are the trigger name and group name, respectively Both of these arguments perform similar functions for a Trigger as they do for a JobDetail Also note that trigger names must be unique within a group, as otherwise, an exception is raised The third and fourth arguments, both of type Date, are the start and end dates for this Trigger By specifying null for the end date, we are saying there is no end date The ability to specify an end date for a trigger is not available when you are using Timer The next argument is the repeat count, which allows you to specify the maximum number of times the Trigger can fire We use the constant REPEAT_INDEFINITELY to allow the Trigger to fire without a limit.

Had I done comparisons earlier in the book, it would have taken focus from the content I m sure many of you have seen the Microsoft slide decks that compare most of the main technologies presented in this book I do have to be honest here I ve had some difficulty with some of that content over the years While it s accurate in a literal and absolute sense, I have never found it to be a true reflection in all cases of where, when, and how the technologies are deployed in the real world My major problem with most of the content out there is that it tries to label the technologies with such terms as instant, hot, warm, and so on You are not making a hot drink where those adjectives would be appropriate.

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The final argument is the interval between Trigger firings and is defined in milliseconds We have defined an interval of 3 seconds The final step in this example is to schedule the job with a call to Schedulerschedule() that passes in the JobDetail instance and the Trigger If you run this application, you will see the familiar stream of Hello, World messages appearing gradually in your console..

Object_Name(id) as "Table Name", rtrim(name) as "Field Name" FROM syscolumns WHERE Name like @column_name

In my opinion they are slightly inaccurate because they leave a lot open to interpretation and can make you assume something is valid when it really is not For example, as noted in 10, you can technically use log shipping for reporting purposes, but only those who are masochists should attempt it There is the spirit of the law, which is following the core of the rule and adapting it to your situation, and then there is the letter of the law, which is taking something and doing exactly as it states but possibly causing you a lot of pain in the process I tend to follow the spirit of the law because there are no absolutes when it comes to implementing these types of solutions..

In the previous example, all information for the job execution was contained in the job itself. However, you can pass state into the job using the JobDetail or Trigger class. Each instance of JobDetail and Trigger has an associated JobDataMap instance, which implements Map, and allows you to pass in job data in key/value pairs. Your jobs can modify data in the JobDataMap to allow for the passing of data between subsequent executions of the job. However, there are some considerations related to job persistence when using this approach. We discuss these later in the About Job Persistence section. Storing data about a Trigger is useful when you have the same job scheduled with multiple Trigger implementations and want to provide the job with different data on each independent triggering. Entries of this map are made available via the JobDataMap on the JobExecutionContext that can be retrieved via the getMergedJobDataMap() method. As the method name suggests, the JobDataMap on the JobExecutionContext is a merge of the JobDataMap found on the JobDetail and the JobDataMap found on the Trigger, whereas data stored in the Trigger overrides data stored on the JobDetail. In Listing 12-16, you can see an example of a Job that uses data contained in the merged JobDataMap to perform its processing. Listing 12-16. Using the JobDataMap package com.apress.prospring2.ch12.quartz; import java.util.Map; import org.quartz.Job; import org.quartz.JobExecutionContext; import org.quartz.JobExecutionException; public class MessageJob implements Job { public void execute(JobExecutionContext context) throws JobExecutionException {

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