Awesome

Parex

Parallel Execute (Parex) is an Elixir module for executing multiple (slow) processes in parallel.

Installation

Put this in your mix.exs deps

defp deps do
[
  ... # other dependencies
  {:parex, github: "stevenjl/parex", tag: "v0.0.2"}
]

Usage

Parex.parallel_execute/1 takes a keyword list of functions and executes them in parallel.

Parex.parallel_execute([
    fibonacci: fn() -> Math.fib(40) end,
         hang: fn() -> :timer.sleep(5000) end,
  web_request: fn() -> HTTPotion.get("http://wwww.reddit.com") end
])
# => [web_request: %HTTPotion.Response{body...}, hang: :ok, fibonacci: 102334155]

It also works with a list of maps

Parex.parallel_execute([
    %{ fibonacci: fn() -> Math.fib(40) end},
    %{ hang: fn() -> :timer.sleep(5000) end},
    %{ web_request: fn() -> HTTPotion.get("http://wwww.reddit.com") end}
])
# => [%{web_request: %HTTPotion.Response{body...}}, %{hang: :ok}, %{fibonacci: 102334155}]

It also works with a single map whose key-value pairs are functions

Parex.parallel_execute(
    %{ 
       fibonacci: fn() -> Math.fib(40) end,
       hang: fn() -> :timer.sleep(5000) end,
       web_request: fn() -> HTTPotion.get("http://wwww.reddit.com") end
     }
)
# => %{ web_request: %HTTPotion.Response{body...}, hang: :ok, fibonacci: 102334155 }

Compared to executing in series:

Let's run a few slow functions in series.

{time, _ } = :timer.tc(
  fn ->
         fib_num = Math.fib(40)
        fib_num2 = Math.fib(35)
           hang1 = :timer.sleep(1000)
           hang2 = :timer.sleep(5000)
    web_request1 = HTTPotion.get("http://www.reddit.com")
    web_request2 = HTTPotion.get("http://bleacherreport.com")
    web_request3 = HTTPotion.get("http://www.elixir-lang.org")
  end
)
time #=> 12920554

Now let's run them in parallel.

{time, _ } = :timer.tc(
  fn ->
    Parex.parallel_execute([
           fib_num: fn() -> Math.fib(40) end,
          fib_num2: fn() -> Math.fib(35) end,
             hang1: fn() -> :timer.sleep(1000) end,
             hang2: fn() -> :timer.sleep(5000) end,
      web_request1: fn() -> HTTPotion.get("http://www.reddit.com") end,
      web_request2: fn() -> HTTPotion.get("http://bleacherreport.com") end,
      web_request3: fn() -> HTTPotion.get("http://www.elixir-lang.org") end
    ])
  end
)
time #=> 5532994

Obviously, parallel is faster, as it's just the time of the slowest process (most likely the fibonacci computation in this case), rather than the sum of all process times.

See the tests for more examples.

Contributing

1. Fork it
2. Create your feature branch (git checkout -b my-new-feature)
3. Commit your changes (git commit -am 'Add some feature')
4. Push to the branch (git push origin my-new-feature)
5. Create new Pull Request

License

(The MIT License)

Copyright © 2014 Steven Li

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the ‘Software’), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED ‘AS IS’, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.