When there are requirements that are not currently supported by the Scheduler API. ![]() Often, instead of polling for a certain state using the Scheduler API, it is more appropriate to publish an event when the expected state transition occurs, and the necessary action is then taken by a message handler which is subscribed to it.As soon as the task starts to get some branching logic ( if or switch statements) or business logic is added, consider moving to a saga and using saga timeouts instead of a simple message send.Name a schedule task and invoke it every 5 minutes use the pipelineContext parameter to send messages The difference between the following two examples is that in the latter a name is given for the task. The endpoint then uses that ID to fetch and invoke the task from its internal list of tasks and executes it. When the specified interval has elapsed, the timeouts dispatcher returns the message containing the ID to the endpoint with the scheduled task ID. The ID for the task is sent in a message to the timeout manager, setting the message to be deferred with the specified time interval. ![]() When a new scheduled task is created it is given a unique ID and stored in the endpoint's in-memory dictionary. The scheduler holds a list of tasks scheduled in a non-durable in-memory dictionary that is scoped per endpoint instance. OS task scheduler, like the Windows task scheduler or Linux cron jobs.Whenever execution history, or timely or fully-reliable scheduling is needed, it is recommended to use dedicated scheduling technology. When this happens the scheduled task will stop executing unless the ScheduledTask message is retried or the endpoint instance is restarted. ![]() If the delayed delivery operation fails, the scheduler will be interrupted and a ScheduledTask message will be forwarded to the error queue. Scheduling a task depends on delayed delivery.
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