Hi Phil,
Sidekiq sounds like the gem you need. It does background processing using
threads so you get true parallelism. You would need an implementation of
Ruby though that can support true parallelism like Rubinius or JRuby. Ruby
MRI has the GIL so it can''t do true multithreaded processing.
Here are links for Sidekiq:
1. http://railscasts.com/episodes/366-sidekiq
2. https://github.com/mperham/sidekiq
Hope it helps!
Cheers,
Gabe
On Saturday, October 5, 2013 12:16:48 PM UTC+8, Phil
wrote:>
> I''m experimenting with optimizing some areas that involve long
processing
> times on some SQL selects (or any background task, really). This is in
> Rails 4.0.0 with Ruby 2.0.0p247, PostgreSQL 9.2.4.
>
> In this case, I can do intelligent dividing of selects to even the
> workload amongst N processes for the DB backend.
>
> I currently am trying Spawnling, and this works for exactly one hit before
> I have to restart the web service:
>
> spawns = []
> ABC.each do # criteria for selects to divide load
> spawns << Spawnling.new do
> # portion of big SQL select here via ActiveRecord, and store in
> memcache
> end
> end
> # wait for all N blocks of code to finish running
> Spawnling.wait(spawns)
> # assemble result from memcache and deliver
> render ...
>
> Works for one hit and then future hits log correctly but fail to deliver
> any content to the browser. There seems to be a number of issues with
> Spawnling anyways as it seems to be in disrepair.
>
> How are folks parallelizing tasks these days for lots of CPUs per hit?
> What''s the Rails 4/Ruby 2 way to do it?
>
> Thanks for any thoughts.
>
>
> Phil
>
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