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| 1 | +defmodule Parallel do |
| 2 | + @moduledoc """ |
| 3 | +
|
| 4 | + This module shows how you can hide the synchronous and asynchronous behaviour |
| 5 | + behind an API. |
| 6 | +
|
| 7 | + """ |
| 8 | + |
| 9 | + @doc """ |
| 10 | + runs a parallel map by spawning a bunch of processes and returns array of results |
| 11 | + ## Parameters |
| 12 | + - collection: a collection that can be enumerated |
| 13 | + - function: an anonymous function to apply to each element in collection |
| 14 | +
|
| 15 | + ## Examples |
| 16 | + iex> Parallel.pmap((0..4), fn(x) -> x * x end) |
| 17 | + [0, 1, 4, 9, 16] |
| 18 | + """ |
| 19 | + def pmap(collection, function) do |
| 20 | + me = self |
| 21 | + pid_list = Enum.map(collection, fn (elem) -> |
| 22 | + spawn_link fn -> (send me, { self, function.(elem) }) end |
| 23 | + end) |
| 24 | + Enum.map(pid_list, fn (pid) -> |
| 25 | + receive do { ^pid, result } -> result end |
| 26 | + end) |
| 27 | + end |
| 28 | + |
| 29 | + def pmap_wrapper(me, collection, function) do |
| 30 | + result = pmap(collection, function) |
| 31 | + send me, {self, result} |
| 32 | + end |
| 33 | + |
| 34 | + @doc """ |
| 35 | + runs a parallel map by either a) in current process, b) synchronous multi-process or |
| 36 | + c) fully asynchronous multi-process, and you need to wait for result. |
| 37 | +
|
| 38 | + It chooses which one to run based on the size of the collection |
| 39 | +
|
| 40 | + ## Parameters |
| 41 | + - range: a collection that can be enumerated |
| 42 | + - function: an anonymous function to apply to each element in collection |
| 43 | +
|
| 44 | + ## Examples |
| 45 | + iex> Parallel.map_or_pmap_or_apmap((0..4), fn(x) -> x * x end) |
| 46 | + [0, 1, 4, 9, 16] |
| 47 | + """ |
| 48 | + def map_or_pmap_or_apmap(%Range{} = range, function) do |
| 49 | + me = self |
| 50 | + first..last = range |
| 51 | + result = case last - first do |
| 52 | + x when x > 1000 -> |
| 53 | + IO.puts("<delayed_map>") |
| 54 | + pid = spawn_link( fn -> pmap_wrapper(me, range, function) end) |
| 55 | + {:delayed, pid} |
| 56 | + x when x > 100 -> |
| 57 | + IO.puts("<pmap>") |
| 58 | + {:ok, pmap(range, fn(x) -> x * x end) } |
| 59 | + _ -> |
| 60 | + IO.puts("<normal map>") |
| 61 | + {:ok, Enum.map(range, fn(x) -> x * x end) } |
| 62 | + end |
| 63 | + result |
| 64 | + end |
| 65 | + |
| 66 | + def map_or_pmap(%Range{} = range, function) do |
| 67 | + first..last = range |
| 68 | + result = case last - first > 1000 do |
| 69 | + true -> pmap(range, function) |
| 70 | + _ -> Enum.map((0..100000), fn(x) -> x * x end) |
| 71 | + end |
| 72 | + result |
| 73 | + end |
| 74 | + |
| 75 | + def map(collection, function) do |
| 76 | + Enum.map(collection, function) |
| 77 | + end |
| 78 | + |
| 79 | + def show_result(result) do |
| 80 | + case result do |
| 81 | + {:ok, arr} -> IO.puts(">> Running synchronously, I am waiting for results") |
| 82 | + IO.inspect(arr) |
| 83 | + {:delayed, _} -> IO.puts(">> Running asynchronously, I am not going to wait for results") |
| 84 | + end |
| 85 | + result |
| 86 | + end |
| 87 | + |
| 88 | + def run_fail_test do |
| 89 | + [0, 1, 3, 9, 16 ] = Parallel.pmap((0..4), fn(x) -> x * x end) # multi-process |
| 90 | + end |
| 91 | + |
| 92 | + def run_tests do |
| 93 | + IO.puts "------map:" |
| 94 | + IO.inspect Parallel.map((0..100000), fn(x) -> x * x end) # single-process |
| 95 | + IO.puts "------pmap" |
| 96 | + IO.inspect Parallel.pmap((0..4), fn(x) -> x * x end) # multi-process |
| 97 | + IO.puts "------map_or_pmap use multi-process" |
| 98 | + IO.inspect Parallel.map_or_pmap((0..100000), fn(x) -> x * x end) # use multi-process |
| 99 | + IO.puts "------map_or_pmap use this (one) process" |
| 100 | + IO.inspect Parallel.map_or_pmap((0..100), fn(x) -> x * x end) # use single-process |
| 101 | + |
| 102 | + IO.puts "checking the 3 versions" |
| 103 | + |
| 104 | + # But what if you only want to wait if it is a BIG one... |
| 105 | + Parallel.show_result(Parallel.map_or_pmap_or_apmap((0..10), fn(x) -> x * x end)) |
| 106 | + Parallel.show_result(Parallel.map_or_pmap_or_apmap((0..150), fn(x) -> x * x end)) |
| 107 | + result = Parallel.show_result(Parallel.map_or_pmap_or_apmap((0..1000000), fn(x) -> x * x end)) |
| 108 | + |
| 109 | + case result do |
| 110 | + {:delayed, pid} -> |
| 111 | + start_waiting(pid) |
| 112 | + {:ok, arr } -> IO.puts("not delayed") |
| 113 | + IO.inspect(arr) |
| 114 | + end |
| 115 | + end |
| 116 | + |
| 117 | + def start_waiting(pid) do |
| 118 | + receive do |
| 119 | + { ^pid, result } -> IO.puts("done") |
| 120 | + IO.inspect(result) |
| 121 | + after |
| 122 | + 1_000 -> IO.puts "still waiting..." |
| 123 | + start_waiting(pid) |
| 124 | + end |
| 125 | + end |
| 126 | + |
| 127 | +end |
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