Just wondering how long can a rails active job be delayed?
Currently I'm delaying some jobs for days and sometimes weeks, is that fine or is there a risk that it won't get executed in the end?
I'm currently using heroku and restarting my server every 6 hours, could that affect my jobs and sidekiq?
It depends which Active Job adapter you're using: some don't support delays at all, some have time limits, some will accept any value but get forgotten if the process restarts, and some (most) use persistent storage so that any delay is fine. Sidekiq is in the latter category: restarts will not cause problems (as long as your server is running -- Heroku stops hobby-size sites when they're inactive, and scheduled jobs don't count).
The only risk to be aware of is that jobs will be scheduled using the parameters you pass when you schedule them, and run using the code that's current when they come due: with longer delays, you need to be more careful about changing the number [or meaning] of parameters.
I should be fine, because it is you redis db that records/keeps the date when to execute the job.
Related
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 have a Sidekiq job that runs for a while and when I deploy to Heroku and the job is running, it can't finish within in the few seconds.
That is fine, as the job is designed to be able to be re-run if needed.
The problem is that the job gets lost (instead of put back to redis and run again after deploy).
I found that it is advised to set :timeout: 8 on heroku and I tried it, but it had no effect (also tried seeting to 5).
When there is an exception, I get errors reported, but I don't see any. So not sure what could be wrong.
Any tips on how to debug this?
The free version of Sidekiq will push unfinished jobs back to Redis after the timeout has passed, default of 8 seconds. Heroku gives a process 10 seconds to shut down. That means we have 2 seconds to get those jobs back to Redis or they will be lost. If your network is slow, if the Redis server is swapping, etc, that 2 sec deadline might not be met and the jobs lost.
You were on the right track: one answer is to lower the timeout so you have a better chance of meeting that deadline. But network or swapping delay can't be predicted: even 5 seconds might not be enough time.
Under normal healthy conditions, things should work as designed. Keep your machines healthy (uncongested network, plenty of RAM) and the basic fetch should work well. Sidekiq Pro's reliable fetch feature is a fundamental redesign of how Sidekiq fetches jobs and works around all of these issues by keeping jobs in Redis all the time so they can't be lost. But it comes with serious trade offs too: it's more complicated, slower and more Redis intensive than "basic" fetch.
In short, I don't know why you are losing jobs but make sure your instances and Redis server are healthy and the latency is low.
https://github.com/mperham/sidekiq/wiki/Using-Redis#life-in-the-cloud
This is actually feature of sidekiq - designed to steer you toward paying pro version:
http://sidekiq.org/products/pro
RELIABILITY
More reliable message processing.
Cloud environments are noisy and unreliable. Seeing timeouts? Wild swings in latency or performance? Ruby VM crashes or processes disappearing?
If a Sidekiq process crashes while processing a job, that job is lost.
If the Sidekiq client gets a networking error while pushing a job to Redis, an exception is raised and the job is not delivered.
Sidekiq Pro uses Redis's RPOPLPUSH command to ensure that jobs will not be lost if the process crashes or gets a KILL signal.
The Sidekiq Pro client can withstand transient Redis outages or timeouts. It will enqueue jobs locally upon error and attempt to deliver those jobs once connectivity is restored.
Deploy terminates all processes that belongs to user, therefore job is lost. There is actually not much you can do there.
As #mike-perham and #esse noted, Sidekiq is designed the way it can loose jobs due to its fetching mechanism. Your options to get around this are:
To buy Sidekiq Pro (although it was reported to cause the same issue)
To write your own fetcher (but that would mean you can not use most of 3rd party libraries, as they will not work with your custom fetcher)
To mimic Sidekiq Pro's reliable fetch by backing up your jobs data. In case you are up for this way, check out attentive_sidekiq gem which does exactly that.
our rails web app has to download/unpack archives with html pages from ftp on request for user's viewing through the browser.
the archive can be quite big, so user has to wait until it downloads/unpacks on the server.
i implemented progress bar the way that i call fork/Process.detach in user's request, so that his request is done but downloading/unpacking process continues running in the background. and javascript rendered in his browser pings our server for status until all is ready and then it redirects him to unpacked html pages.
as long as user requests one archive, everything goes smoothly, but if he tries to run 2 or more requests at the same time(so that more forks are started), it seems that only one of them completes, and the rest expires/times outs/gets killed by passenger(?). i suppose its the issue with Passenger/forking.
i am not sure if its possible to fix it somehow so i guess i need to switch to another solution. the solution needs to permit immediate and parallel processing of downloads. so that if user requests multiple archives, he has to see download/decompression progress in all of them at the same time.
i was thinking about running background rake job immediately but it seems very slow to startup(also there's a lot of cron rake tasks happening every minute on our server). reason i liked fork was that it was very fast to start. i know there is delayed job, we also use it heavily for other tasks. but can it start multiple processes at the same time immediately without queues?
solved by keeping the fork and using single dj worker. this way i can have as many processes starting at the same time as needed without trouble with passenger/modifying our product's gemset (which we are trying to avoid since it resulted in bugs in the past)
not sure if forking inside dj worker can cause any troubles, so asked at
running fork in delayed job
if id be free to modify gemset, id probably use resque as wrdevos suggested, or sidekiq, or girl_friday(but thats less probable because it depends on the server running).
Use Resque: https://github.com/defunkt/resque
More on bg jobs and Resque here.
https://github.com/blog/542-introducing-resque
I'd like to make an email notification if SomeModel has not been updated for 2 hours.
What is the best way to implement it?
After a model has been saved, queue up a background job to run 2 hours from that time to send the email. When a new job is enqueued, remove any still-unrun jobs that are still on the queue.
resque-scheduler providers a pretty simple way of doing this, assuming you have redis up and running.
Personally I find the solution that #x1a4 proposes to be somewhat overkill. Given the relatively large window of 2 hours, I would just run a job periodically (say, once every 10-15 minutes), then search all Models for updated_at <= 2.hours.ago and send out the emails.
As for scheduling that job to run every 15 minutes, there are several options. You may use resque-scheduler, if you are using Resque. You may also use the standard system cron, but will incur some fairly substantial overhead starting Rails each time the job runs. I also have written a distributed scheduler gem (i.e. cron that can run on multiple machines, but act like it's only running on one), which uses Redis under the hood.
If I need to create recurring tasks in delayed jobs, what is a clean solution? I have an import task that I want to run every 5 minutes, but I don't want to fire up rails/rake in order to tell it to create a Delayed job that can be picked up. If Rails is already running on a system, perhaps I can just create an HTTP request that will make the rails app fire off a DJ? I could put that cron task in a ruby script which runs every 5 minutes, making requests to a server, but without firing up rails. What do you think?
This fork of delayed_job has recurrence built right in (and there may be other forks that do the same):
http://github.com/andrewroth/delayed_job
The cron approach still seems to be quite clean. It need only involve running a rake invocation, not a full Rails server. Rake doesn't need Rails to be running to work.
However if you really don't like that approach then you could arrange for the recurring jobs to be re-queue themselves when they are being processed setting a run_at time to 5 minutes (or whatever) in the future. Obviously you'd need to prime the queue the first time and make sure the delayed_job server stays running
About that... I have the same desire,
I'm planning to have a cron to fire up a curl request at a specific route at my site every 5 minutes, so it runs a action with the result, and I'm gonna be pretty sure it only ran once.
My purposes includes: Awarding Badges and compiling some Averages