Modern concurrency tools for ruby.
Ruby thread pool gem.
If we happen to be on mri we could probably.
Create a queue data structure to represent the set of work that needs to be done.
The design goals of this gem are.
A thread pool is an abstraction for re using a limited number of threads to perform concurrent work.
A number of ruby gems exist to support background processing i e saving jobs in a queue and processing them later without blocking the current thread.
Be an unopinionated toolbox that provides useful utilities without debating which is better or why.
Contribute to meh ruby thread development by creating an account on github.
One of the fundamental concepts in key ruby libraries that embrace concurrency is the thread pool.
Instantly publish your gems and then install them use the api to find out more about available gems.
This allows us to specify a static number of.
You could build your own pool but i wouldn t recommend it.
A queue is a basic stack like data structure on which we can call push and pop queue is thread safe so if multiple threads access it at the same time it will maintain consistency.
Gem thread or install it yourself as.
Instantly publish your gems and then install them use the api to find out more about available gems.
Become a contributor and improve the site yourself.
All the implementations i looked at were either buggy or wasted cpu resources for no apparent reason for example used a sleep of 0 01 seconds to then check for readiness and stuff like this.
Become a contributor and improve the site yourself.
Gem install thread usage pool.
You can find examples of thread pool implementations in gems like puma concurrent ruby celluloid pmap parallel and ruby thread.
The connection pool gem will allow us to create a pool of connections which we can use to grab a connection and return it after we re done using it.
Celluloid is now unmaintaned but the general idea of worker pools still applies.
We could use a mutex but in most cases a queue will work and is simpler to reason about.
Thread pools allow you to control the number of active threads at any given time.
Notable examples include sidekiq resque delayed job and beanstalkd.