Run any code in parallel Processes(> use all CPUs) or Threads(> speedup blocking operations).
Best suited for map-reduce or e.g. parallel downloads/uploads.
sudo gem install parallel
# 2 CPUs -> work in 2 processes (a,b + c)
results = Parallel.map(['a','b','c']) do |one_letter|
expensive_calculation(letter)
end
# 3 Processes -> finished after 1 run
results = Parallel.map(['a','b','c'], :in_processes=>3){|one_letter| ... }
# 3 Threads -> finished after 1 run
results = Parallel.map(['a','b','c'], :in_threads=>3){|one_letter| ... }
Same can be done with each
Parallel.each(['a','b','c']){|one_letter| ... }
or each_with_index
or map_with_index
- Speedup through multiple CPUs
- Speedup for blocking operations
- Protects global data
- Extra memory used ( very low on REE through
copy_on_write_friendly
) - Child processes are killed when your main process is killed through Ctrl+c or kill -2
- Speedup for blocking operations
- Global data can be modified
- No extra memory used
Processes/Threads are workers, they grab the next piece of work when they finish
- JRuby / Windows support <-> possible ?
###Contributors (alphabetical)
- TJ Holowaychuk -- tj<$at$>vision-media.ca
Michael Grosser
[email protected]
Hereby placed under public domain, do what you want, just do not hold me accountable...