tokoroten~axentro
tokoroten
tokoroten is one of the approach to use multiple processes in Crystal.
spawn
is a good feature for executing light tasks concurrently.
For heavy tasks, tokoroten has an advantage compared to spawn
.
See the below Performance evaluation.
Performance evaluation
Compare the execution time of spawn
and tokoroten By using sample/benchmark.cr
.
In this example, tokoroten uses 4 processes.
Start benchmarking...
----- Tokoroten
=> 2.822[sec]
----- `spawn`
=> 10.704[sec]
tokoroten is about 4.0x faster than spawn
Installation
Add this to your application's shard.yml
:
dependencies:
tokoroten:
github: tbrand/tokoroten
Usage
Requirement
require "tokoroten"
Define woker
class MyWorker < Tokoroten::Worker
def task(message : String)
#
# Write your task using the `message`.
# In this sample, just return a message with "-ok" prefix.
# Use `response` when you create responses.
#
response("#{message}-ok")
end
end
Execute workers
# Create 4 workers. (Using 4 processes)
workers = MyWorker.create(4)
# Execute each worker
workers.each_with_index do |w, i|
w.exec(i.to_s)
end
# Join every workers (Syncronize point)
workers.each do |w|
#
# Receive result from a worker
# The below `r` will be "0-ok", "1-ok"...
#
r = w.receive.try &.to_s || ""
end
# Clean up workers
workers.each do |w|
w.kill
end
Current restriction
Currently, communication between main process and worker processes are done by String
.
So you can not pass arbitrary objects directly. (have to convert to string and re-convert from it.)
JSON serialization is one of the way to pass the objects.
# main process => worker process
worker.exec(my_obj.to_json)
# worker process => main process
MyObj.from_json(worker.receive.to_s)
Contributing
- Fork it ( https://github.com/tbrand/tokoroten/fork )
- Create your feature branch (git checkout -b my-new-feature)
- Commit your changes (git commit -am 'Add some feature')
- Push to the branch (git push origin my-new-feature)
- Create a new Pull Request
Contributors
- tbrand Taichiro Suzuki - creator, maintainer