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Contents
# typed: strict # frozen_string_literal: true module Tapioca class Executor extend T::Sig MINIMUM_ITEMS_PER_WORKER = T.let(2, Integer) sig { params(queue: T::Array[T.untyped], number_of_workers: T.nilable(Integer)).void } def initialize(queue, number_of_workers: nil) @queue = queue # Forking workers is expensive and not worth it for a low number of gems. Here we assign the number of workers to # be the minimum between the number of available processors (max) or the number of workers to make sure that each # one has at least 4 items to process @number_of_workers = T.let( number_of_workers || [Etc.nprocessors, (queue.length.to_f / MINIMUM_ITEMS_PER_WORKER).ceil].min, Integer ) end sig do type_parameters(:T).params( block: T.proc.params(item: T.untyped).returns(T.type_parameter(:T)) ).returns(T::Array[T.type_parameter(:T)]) end def run_in_parallel(&block) # To have the parallel gem run jobs in the parent process, you must pass 0 as the number of processes number_of_processes = @number_of_workers == 1 ? 0 : @number_of_workers Parallel.map(@queue, { in_processes: number_of_processes }, &block) end end end
Version data entries
7 entries across 7 versions & 1 rubygems