I am currently using resque and resque-scheduler in an application that will have to handle a lot of recurring jobs - "do this every hour", "do this every day" etc. At the moment, I simply queue up the next run of the job in the job itself, the HourlyJob queue has a .enqueue_at(1.hour.from_now, HourlyJob) etc.
Should I be doing this? It "feels" like I should have a static recurring job using resque-schedulers cron-type functionality that then schedules up say the next 5 minutes worth of delayed jobs... but all I am really doing is moving the work from the (probably fast, redis based) resque-scheduler to my (probably less well implemented, mysql based) code, surely?
Is there anything wrong with how I'm doing it now?
I'd personally use the cron style provided by resque-scheduler, your use case is exactly what it was built for:
Your more directly indicate these are recurring jobs.
Everything is located in the same YAML file rather then multiple job classes/modules.
By queuing the next run of the job inside the actual job:
You run the risk of the next run going missing when your worker/job/server fails.
Your needlessly using more memory in Redis, the scheduler process will not add the jobs to Redis until there ready to be run.
Hops this helps.
Related
I new to ROR. Wanted to ask something for confirmation. If I run long schedule job. Will it block others schedule job? I have others job running every 5 minutes, Plan to write something that easily run more than 3 hours. Will it block the 5 minutes job?
The whenever gem is basically only a way to configure and handle Cron jobs.
That said: At the given time Cron will just start and run a configured job. Cron will not block other jobs nor it cares if a job fails or if another job is still running.
Limiting factor might be:
Memory/CPU consumption: Each job consumes memory/CPU. If there are too many jobs running at the same time your server might run out of memory or might have a high load. But this doesn't really block other jobs it just slows down the whole server.
Database locks: If your jobs perform tasks that lock database tables other queries might be blocked and need to wait. But this is not Cron specific, this depends on what your code actually does.
We currently use delayed_job and rails to manage some long running jobs in our system. Some of these jobs take potentially hours to run, but we also like to deploy rather frequently, often many times a day. The problem with this setup is that we have to restart delayed_job during deployment to pick up code changes, so that any new jobs are processed with the latest code.
The solution we've arrived at is that for any job that needs to run for more than some small amount of time, we fork the delayed job so that it returns immediately, and the forked process handles the work. This way a deploy can restart all the delayed job processes, while the long-running 'job' keeps going until it's finished as an orphaned process.
We've looked at sidekiq, but it looks like we'd have the same issue there when trying to deploy new code.
Has anyone developed a solution they would recommend for dealing with long-running background processes that span multiple deployments?
I am using Delayed jobs for my Ruby app hosted in Heroku to perform a very long task that can take up to 5 minutes.
I've noticed that, in development mode at least, when this task is running the ones that come afterwards are not started until that one finishes. I would like other tasks to be able to start running without having to wait for the other to finish (to have at least 3 concurrent tasks, for example).
I don't wish to increase the number of workers in Heroku ($$$).
I noticed the 'pool' param in delayed jobs but I don't fully understand if this is what I need or how to use it.
https://github.com/collectiveidea/delayed_job/blob/master/README.md
I achieved it using threads in the task code, but maybe this is not the best way to do it.
If you could tell me exactly how I could achieve concurrency in delayed jobs I would really appreciate it.
A DJ worker only runs a single job at a time. If you want concurrent processing of your background jobs, you'll need multiple background workers.
You are way better off implementing sidekiq.
Ok, so this is probably evil, however.. here's the question! I want to run a pretty lightweight app on a shared environment (site5). Ideally I would like to use delayed_job for the ease of queueing the mails (~200+ every so often). However, being a shared environment they don't want background processes running all the time (fair enough).
So, my plan, such as it is, is to queue the mails using delayed job, and then every hour or something, spin up a cron job, send a few emails (10 or something small) and then kill the process. And repeat.
Q) Is there a rake jobs:works:1 equivalent task it'd be easy to setup? - pointer would be handy.
I'm quite open to "this is a terrible idea, don't even go there" being the answer.. in which case I might look at another queuing strategy... (or heroku hire-fire perhaps..)
You can get delayed job to process only a certain number of jobs by doing:
Delayed::Worker.new.work_off(10)
You could fire a script to do that from cron or use "rails runner":
rails runner -e production 'Delayed::Worker.new.work_off(10)'
I guess the main issue on whether it is a good idea or not is working out what small value is actually high enough to make sure you process all your jobs in a reasonable time-frame. Also, you've got the overhead of firing up the rails environment every time you want to process, or even check whether you should process, any jobs. That might cause problems in a shared environment if they are particularly strict on spikes of memory or CPU usage.
Why not skip the 'workers' (which are just daemons which look for work else sleep) and have your cron fire a custom rake task of 10.times { MailerJob.first.perform }
You'd just need to require you're app in the line before that so its loaded ofc.
I'm currently using cron and "rails runner" to execute background jobs. For the most part these jobs are simple polls "Find the records that are due to receive a reminder email. Send that email."
I've been watching my Amazon EC2 Small instance, and noticed that each time one of these cron job kicks in, the CPU spikes to ~99%. The teeny tiny little query inside my current job is definitely not responsible. I'm presuming that the spike is simply due to the effort of loading the full rails environment via "rails runner".
Is there a more CPU efficient way to handle regularly scheduled batch jobs?
P.S. I know that in the particular example of sending a reminder email at time X in the future, I could delayed_jobs, and simply schedule the job in the future. Not every possible task fits into the delayed_jobs framework very well though, so I'm looking for a more traditional "cron job" type solution. Like "rails runner", but without the crazy CPU consequences.
You can use workers witch don't load rails env. Or load it only once(like resque)
I don't think there is a solution for this, since you do need to load a Rails environment to handle whatever that is you are handling. So when on the "cron" model you will be starting up a handler which in turn will create some load on your instance. I don't know how cloud services lend themselves to this, but I think the optimal model in your case would be to have a running daemon for job handling and forking coupled with REE for the job execution (that helps prevent memory leaks by letting as much as possible happen in the child process that will die at the end of the execution loop).
The daemon could be configured to accept signals (also via a job queue) that would spin off jobs doing specific things.