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I've found RegEx to be useful still. In the following code I use a jagged string array with the AI's I want to be able to process and their properties, being: string[][]​ ...

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Map map = jobDetail.getJobDataMap(); map.put("message", "This is a message from Quartz"); String cronExpression = "3/5 * 14,15,16,17 * * "; Trigger trigger = new CronTrigger("cronTrigger", Scheduler.DEFAULT_GROUP, cronExpression); trigger.setCalendarName("xmasCalendar"); scheduler.scheduleJob(jobDetail, trigger); } } Here, you can see that we create an instance of HolidayCalendar, and using the addExcludedDate() method, we exclude December 25. With the Calendar instance created, we add the Calendar to the Scheduler using the addCalendar() method, giving it a name of xmasCalendar. Later, before adding the CronTrigger, we associate it with xmasCalendar. Using this approach saves you from having to create complex cron expressions just to exclude a few arbitrary dates.

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The solution in this example because we know that no activity will occur after 12:00 AM on the last day of the month is to set the schedule to run on the first day of the month at 12:01 AM. This essentially gives you the last day for every month. Next, select an appropriate start date and end date for the schedule (in this case, don t specify an end date), and then click the OK button. Now you can move on and prepare the report itself to use the new schedule. As a note, schedules in SSRS rely on the SQL Server Agent service, and as such, the service must be running before you can successfully create a schedule.

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Transactional replication is potentially more granular than log shipping since it is at the per-transaction level Log shipping, however, is much more robust in terms of a disaster solution since it is designed to capture everything in the transaction log (not just what is defined in the publication) and it is geared for these types of solutions Finding your transactions with transactional replication is a bit more challenging if you switch to your standby server Is it still sitting in the original transaction log and not read yet Is it waiting to be replicated sitting at the distributor Has it been picked up by the log reader as a transaction to be replicated but not yet run When it comes to disaster recovery, you want to know that your data is right and absolute.

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Quartz provides support for Job persistence, allowing you to add jobs at runtime or make changes to existing jobs and persist these changes and additions for subsequent executions of the Job Central to this concept is the JobStore interface, implementations of which are used by Quartz when it is performing persistence By default, Quartz uses the RAMJobStore implementation, which simply stores Job instances in memory Other available implementations are JobStoreCMT and JobStoreTX Both of these classes persist job details using a configured DataSource and support the creation and modification of jobs as part of a transaction The JobStoreCMT implementation is intended to be used in an application server environment and takes part in container-managed transactions For stand-alone applications, you should use the JobStoreTX implementation Spring provides its own LocalDataSourceJobStore implementation of JobStore, which can take part in Spring-managed transactions.

You would have to compare your data to know what is there and not there, or monitor your replication more carefully to know the state of your standby With log shipping, you know at what point your primary fails, and what the last transaction log to be loaded is Replication is reliable, but the nature of how it works is fundamentally different than log shipping..

We will take a look at this implementation when we discuss Spring support for Quartz Earlier on, you saw how you can modify the contents of the JobDataMap to pass information between different executions of the same Job However, if you try to run that example using a JobStore implementation other than RAMJobStore, you will be surprised to see that it doesn t work The reason for this is that Quartz supports the notion of stateless and stateful jobs When using the RAMJobStore and modifying the JobDataMap, you are actually modifying the store directly, so the type of Job is unimportant, but this is not the case when you are using implementations other than RAMJobStore A stateless Job only has the data in the JobDataMap persisted when it is added to the Scheduler, whereas stateful Jobs have their JobDataMap persisted after every execution.

The following sections compare database mirroring directly with the other SQL Server availability technologies.

To mark a Job as stateful, implement the StatefulJob interface instead of the Job interface StatefulJob is a subinterface of Job, so you do not need to implement Job as well You should also be aware that any data you place in the JobDataMap when using Job persistence must be serializable, because Quartz writes the JobDataMap as a serialized blob to the database..

Note Note that when a job, such as a subscription or an execution snapshot, is scheduled to run within

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ilopez/GS1Parser: A GS1 Parser for C - GitHub
Jun 9, 2015 · A GS1 Parser for C#. Contribute to ... http://stackoverflow.com/questions/9721718​/ean128-or-gs1-128-decode-c-sharp/28854802#28854802.

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