I have a scheduled cron job that runs laravel's task scheduler in a laravel forge production server. This cron job is ran every minute to ensure that any jobs that have been scheduled in the scheduler is ran. The task scheduler has multiple jobs that all execute at different times.
Essentially what I want is a way to monitor the cron job in production so that if it fails or isn't running I'm notified via an alert e.g. slack, sms. Without any alert I wouldn't be able to know if the cron job isn't running without manually checking. What's the best way of achieving this? Thanks.
If I get you right, you may take advantage of Pinging URLs to ping a specific url after your cron job is run. Something like following:
$schedule->command('emails:send')
->daily()
->thenPing($url);
Now you can either build your endpoint ($url) to make sure that it has been hit daily or use any of many free/paid cron monitoring services.
Related
So I have 2 yml pipelines currently... one starts running the server and after server is up and running I start the other pipeline that runs tests in one job and once that's completed starts a job that shuts down the server from first pipeline.
I'm kinda new to yml and wondering if there is a way to run all this in a single pipeline...
The problem I came across is that if I put server to run in a first job I do not know how to condition the second job to kick off after server is running. This job doesn't have succeeded of failed condition because it's still in progress as the server has to run in order for tests to be run.
I tried adding a variable that I set to true after server is running but it still never jumps to the next job?
I looked into templates too but those are not very clear to me so any suggestion or documentation or tutorial would be very helpful on how to achive putting this in one pipeline...
I already googled a bunch and will keep googling but figured someone here might have an answer already.
Each agent can run only one job at a time. To run multiple jobs in parallel you must configure multiple agents. You also need sufficient parallel jobs.
You can specify the conditions under which each job runs. By default, a job runs if it does not depend on any other job, or if all of the jobs that it depends on have completed and succeeded. You can customize this behavior by forcing a job to run even if a previous job fails or by specifying a custom condition.
Since you have added a variable that you set to true after server is running. Then try to enable a custom condition, set that job run if a variable is xxx.
More details please kindly check official doc here:
Specify jobs in your pipeline
Specify conditions
I am trying to delete a Sidekiq Enterprise periodic job for an app, and I'm not sure how one goes about deleting the periodic job itself after deleting the schedule from the initialize and deleting the worker job.
I see this answer from earlier but the app in question has other jobs (both periodic and regular sidekiq jobs) and I cannot just globally blow away all scheduled periodic jobs and would prefer to not have to totally shut down and restart sidekiq either. Is there a way I can just get the specific job I am deleting out of redis so that it will no longer try to run at the next scheduled time?
You have to deploy your code change and restart Sidekiq for it to pick up periodic changes.
I have a spring scheduler task configured with either of fixedDelay or cron, and have multiple instances of this app running on multiple JVMs.
The default behavior is all the instances are executing the scheduler task.
Is there a way by which we can control this behavior so that only one instance will execute the scheduler task and others don't.
Please let me know if you know any approaches.
Thank you
We had similar problem. We fixed it like this:
Removed all #Scheduled beans from our Spring Boot services.
Created AWS Lambda function scheduled with desired schedule.
Lambda function hits our top level domain with scheduling request.
Load balancer forwards this request to one of the service instances.
This way we are sure that scheduled task is executed only once across the cluster of our services.
I have faced similar problem where same scheduled batch job was running on two server where it was intended to be running on one node at a time. But later on I found a solution to not to execute the job if it is already running on other server.
Job someJob = ...
Set<JobExecution> jobs = jobExplorer.findRunningJobExecutions("someJobName");
if (jobs == null || jobs.isEmpty()) {
jobLauncher.run(someJob, jobParametersBuilder.toJobParameters());
}
}
So before launching the job, a check is needed if the job is already in execution on other node.
Please note that this approach will work only with DB based job repository.
We had the same problem our three instance were running same job and doing the tasks three times every day. We solved it by making use of Spring batch. Spring batch can have only unique job id so if you start the job with a job id like date it will restricts duplicate jobs to start with same id. In our case we used date like '2020-1-1' (since it runs only once a day) . All three instance tries to start the job with id '2020-1-1' but spring rejects two duplicate job stating already job '2020-1-1' is running.
If my understanding is correct on your question, that you want to run this scheduled job on a single instance, then i think you should look at ShedLock
ShedLock makes sure that your scheduled tasks are executed at most once at the same time. If a task is being executed on one node, it acquires a lock which prevents execution of the same task from another node (or thread). Please note, that if one task is already being executed on one node, execution on other nodes does not wait, it is simply skipped.
I am a beginner to Hadoop.
As per my understanding, Hadoop framework runs the Jobs in FIFO order (default scheduling).
Is there any way to tell the framework to run the job at a particular time?
i.e Is there any way to configure to run the job daily at 3PM like that?
Any inputs on this greatly appreciated.
Thanks, R
What about calling the job from external java schedule framework, like Quartz? Then you can run the job as you want.
you might consider using Oozie (http://yahoo.github.com/oozie/). It allows (beside other things):
Frequency execution: Oozie workflow specification supports both data
and time triggers. Users can specify execution frequency and can wait
for data arrival to trigger an action in the workflow.
It is independent of any other Hadoop schedulers and should work with any of them, so probably nothing in you Hadoop configuration will change.
How about having a script to execute your Hadoop job and then using at command to execute at some specified time.if you want the job to run regularly, you could setup a cron job to execute your script.
I'd use a commercial scheduling app if Cron does not cut it and/or a custom workflow solution. We use a solution called jams but keep in mind it's .net-oriented.
Is there a similar event scheduler from MySQL available in PostgreSQL?
While a lot of people just use cron, the closest thing to a built-in scheduler is PgAgent. It's a component to the pgAdmin GUI management tool. A good intro to it can be found at Setting up PgAgent and doing scheduled backups.
pg_cron is a simple, cron-based job scheduler for PostgreSQL that runs
inside the database as an extension. A background worker initiates
commands according to their schedule by connecting to the local
database as the user that scheduled the job.
pg_cron can run multiple jobs in parallel, but it runs at most one
instance of a job at a time. If a second run is supposed to start
before the first one finishes, then the second run is queued and
started as soon as the first run completes. This ensures that jobs run
exactly as many times as scheduled and don’t run concurrently with
themselves.
If you set up pg_cron on a hot standby, then it will start running the
cron jobs, which are stored in a table and thus replicated to the hot
standby, as soon as the server is promoted. This means your periodic
jobs automatically fail over with your PostgreSQL server.
Source: citusdata.com