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.
gem install parallel
# 2 CPUs -> work in 2 processes (a,b + c)
results = Parallel.map(['a','b','c']) do |one_letter|
expensive_calculation(one_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
Produce one item at a time with lambda
(anything that responds to .call
) or Queue
.
items = [1,2,3]
Parallel.each(lambda{ items.pop || Parallel::Stop }){|number| ... }
Processes/Threads are workers, they grab the next piece of work when they finish.
- 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
Try any of those to get working parallel AR
# reproducibly fixes things (spec/cases/map_with_ar.rb)
Parallel.each(User.all, :in_processes => 8) do |user|
user.update_attribute(:some_attribute, some_value)
end
User.connection.reconnect!
# maybe helps: explicitly use connection pool
Parallel.each(User.all, :in_threads => 8) do |user|
ActiveRecord::Base.connection_pool.with_connection do
user.update_attribute(:some_attribute, some_value)
end
end
# maybe helps: reconnect once inside every fork
Parallel.each(User.all, :in_processes => 8) do |user|
@reconnected ||= User.connection.reconnect! || true
user.update_attribute(:some_attribute, some_value)
end
Parallel.map(User.all) do |user|
raise Parallel::Break # -> stops after all current items are finished
end
Only use if whatever is executing in the sub-command is safe to kill at any point
Parallel.map([1,2,3]) do |x|
raise Parallel::Kill if x == 1# -> stop all sub-processes, killing them instantly
sleep 100
end
# gem install ruby-progressbar
Parallel.map(1..50, :progress => "Doing stuff") { sleep 1 }
# Doing stuff | ETA: 00:00:02 | ==================== | Time: 00:00:10
Use :finish
or :start
hook to get progress information.
:start
has item and index:finish
has item, index, result
They are called on the main process and protected with a mutex.
Parallel.map(1..100, :finish => lambda { |item, i, result| ... do something ... }) { sleep 1 }
- [Benchmark/Test] Disable threading/forking with
:in_threads => 0
or:in_processes => 0
, great to test performance or to debug parallel issues
- Replace Signal trapping with simple
rescue Interrupt
handler
- Przemyslaw Wroblewski
- TJ Holowaychuk
- Masatomo Nakano
- Fred Wu
- mikezter
- Jeremy Durham
- Nick Gauthier
- Andrew Bowerman
- Byron Bowerman
- Mikko Kokkonen
- brian p o'rourke
- [Norio Sato]
- Neal Stewart
- Jurriaan Pruis
- Rob Worley
- Tasveer Singh
- Joachim
- yaoguai
- Bartosz Dziewoński
- yaoguai
- Guillaume Hain
- Adam Wróbel
- Matthew Brennan
Michael Grosser
[email protected]
License: MIT