In My Project I am using Quartz.net Scheduler (3.0.7), Now There are some automated verification process which reads the DB and process it and generate output based on few conditions, (You can take example of Email Sending Mechanism which sends email read from DB and Send to Respective mail address) Now If we assume There are 300 Request to be processed and each will take long time to complete, Now There is one feature required which pause the current execution of the job, what i want is that if from 300 requests 25 is completed and currently 26 is running so the job should complete the 26th execution but should stop rest of the request.
What I have tried is to implement the Pause and Interrupt methods of Quartz.net
i.e. await scheduler.PauseJob(jobKey); &
await scheduler.Interrupt(jobKey);
Which Can Pause the upcoming executions, If I can get any Event or Token into Job Execution Class, I can achieve what i want.
IInterruptableJob Has been removed from the Quartz.net
If anyone can help me on this.
From the migration guide:
IInterruptableJob interface has been removed. You need to check for IJobExecutionContext’s CancellationToken.IsCancellationRequested to determine whether job interruption has been requested.
So combining the pause and observing the token should work.
Related
I'm looking to impose a timeout on custom activities in data factory via the policy.timeout property in the activity json.
However I haven't seen any documentation to suggest how the timeout operates upon Azure batch? I assume that the batch task is forcibly terminated somehow.
But is the task -> custom activity informed so it can tidy up?
The reason I ask is that I could be mid-copying to data lake store and I neither want to let it run indefinitely nor stop it without some sort of clean up (I can't see a way of doing transactions as such using the data lake store SDK).
I'm considering putting the timeout within the custom activity, but it would be a shame to have timeouts defined at 2 different levels (I'd probably still want the overall timeout).
I feel your pain.
ADF does simply terminate the activity if its own time out is reached regardless of what state the invoked service is in.
I have the same issue with U-SQL processing calls. It takes a lot of proactive monitoring via PowerShell to ensure data lake or batch jobs have enough compute to complete jobs with natually increasing data volumes before the ADF timeout kill occurs.
I'm not aware of any graceful way for ADF to handle this because it would differ for each activity type.
Time to create another feedback article for Microsoft!
I need to create schedulers to execute jobs(class files) at specified intervals..For Now, I'm using Quartz Scheduler which triggers the jobs at defined intervals from the time of triggering of it.
For Eg: Consider I'm giving a cron expression to run for every one hour starting at morning 9.My first run will be at 9 and my second run will be at 10 and so on.
If my job is taking 20 minutes to execute then in that case this method is not that much efficient.
What I need to do is to schedule a job for every one hour from the completion time of the previously ran job
For Eg: Consider my job to run every one hour is triggered at 9 and for the first run it took 20 minutes to run, so for the next time the job should trigger only at 10:20 instead of 10 (ie., one hour from the completion of previous ran job)
I need to know whether there are any methods in Quartz Scheduling to achieve this or any other logic I need to do.
If anyone could help me out on this,it would be very helpful for me.
You can easily achieve this by job-chaining your job executions. There are various approaches you can choose from:
(1) Implement a Quartz JobListener and in its jobWasExecuted method, that is invoked by Quartz whenever a job finishes executing, re-fire your job.
(2) Look at the Quartz JobChainingJobListener that you can use to implement simple job chaining scenarios. Please note that the functionality of this listener is very limited as it does not allow you to insert delays between job executions, there is no support for conditions that must be met before target jobs are executed etc. But you can use it as a good starting point to implement (1).
(3) Use QuartzDesk (our commercial product) or any other product that allows you to create job chains while externalizing and managing all job dependencies outside of your application. A job chain can have multiple target jobs that can be executed immediately, with a fixed delay or at arbitrary time in the future produced by a JavaScript expression. It also allows you to implement somewhat more sophisticated works flows, such as firing a target job when multiple source jobs complete their execution etc. I am attaching screenshots showing you what a simple job chain that re-executes Job1 with a 1 minute delay upon Job1's completion (with any job execution status) looks like:
We have job which polls for file and db every M-F between 1PM-5PM using cron expression. During this time if file arrives it downloads the file and invoke a job. This is working fine and we have used spring integration and batch.
Now we need some customization where we have multiple job where job1 one should poll like above once file is processed successfully, it should stop polling.
Second requirement is, in case if file does not come during polling period we want to send some notification to ops team so that they can take some actions.
Would that help ? Exit Spring Integration when no more messages
You would be able to implement custom behavior in that advice, based on polling result and the time of the day.
Garry is also mentionning that conditional pollers are coming in next versions :
http://docs.spring.io/spring-integration/docs/4.2.0.BUILD-SNAPSHOT/reference/html/messaging-channels-section.html#conditional-pollers
I was hoping i could get some help on how i can setup an e-mail alert for a specific agent job, such that it sends an e-mail alert when the run duration exceeds 30 minutes.
Would it be easier to add this step in the job itself? Are there any available methods in the SQL Agent GUI or do i have to create a new job? I figured creating a new job is less likely as i would have to query the sysjobhistory in msdb; The value is only updated once the job finishes so that doesn't help...I need it to check the real time duration of 1 specific agent job as it's running...
Specifically because it happens that the job runs into a deadlock ( That's no longer an issue now), so the job just stays stuck on the table it's locked on, and i only get the notification from the enduser that the report doesn't return results :S
The best method outside of 3rd party monitoring software is to create a high-frequency SQL Agent Job that runs a query on active sessions (returned by something like sp_who) for the duration of spids. This way you can have this monitoring job email you whenever a spid goes over a threshold. Alternatively you could have it compare the current runtime vs a calculated average runtime gleaned from the sys.jobhistory table.
I realize that when I execute a SCOM Task on demand from a Powershell script, there are 2 columns in Task Status view called Schedule Time and Start Time. It seems that there is an interval these two fields of around 15 seconds. I'm wondering if there is a way to minimize this time so I could have a response time shorter when I execute an SCOM task on demand.
This is not generally something that users can control. The "ScheduledTime" correlates to the time when the SDK received the request to execute the task. The "StartTime" represents the time that the agent healthservice actually began executing the task workflow locally.
In between those times, things are moving as fast as they can. The request needs to propagate to the database, and a server healthservice needs to be notified that a task is being triggered. The servers then need to determine the correct route for the task message to take, then the healthservices need to actually send and receive the message. Finally, it gets to the actual agent where the task will execute. All of these messages go through the same queues as other monitoring data.
That sequence can be very quick (when running a task against the local server), or fairly slow (in a big Management Group, or when there is lots of load, or if machines/network are slow). Besides upgrading your hardware, you can't really do anything to make the process run quicker.