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Asynchronously drain Resque queue with concurrent workers in Ruby
require_relative './logging'
require_relative './async_consumer'
def drain(data_store, queue_name, output_filename)
json_store = File.open(output_filename, 'a')
executor = lambda do |class_name, args|
Logging.logger.info "class_name: #{class_name}, args: #{args}"
json_store.write("#{ { class: class_name, args: args }.to_json }\n")
end
consumer = AsyncConsumer.new(data_store, queue_name, executor)
consumer.run
consumer.print_performance
ensure
json_store.close
end
Resque.redis = Redis.new
queue_name = 'foofoo'
drain(Resque.data_store, queue_name, "resque_queue_#{queue_name}.jsonl")
require 'concurrent'
require 'benchmark'
require_relative './logging'
require_relative './resque_queue_drainer'
class AsyncConsumer
include Logging
NUM_WORKERS = 3
NUM_JOBS = 50
attr_accessor :stats
def initialize(data_store, queue_name, executor, options: { n_workers: NUM_WORKERS, n_jobs: NUM_JOBS })
@drainer = ResqueQueueDrainer.new(data_store, queue_name)
@jobs = SizedQueue.new(options[:n_jobs])
@executor = executor
@stats = Concurrent::Hash.new
end
def run
Concurrent::Future.execute do
puts "Draining to queue"
@drainer.drain_all do |class_name, args|
@jobs.push([class_name, args])
end
@jobs.push(nil)
@jobs.close
end
logger.info 'Starting workers'
t = Benchmark.realtime do
promises = Array.new(NUM_WORKERS) do |i|
Concurrent::Promises.future { run_worker(i) }
end
promises.each(&:value!) # resolve promises
end
logger.info "Elapsed %.3f s" % t
rescue => e
logger.error "Terminated due to error: #{e.message}\n#{e.backtrace[0]}"
ensure
logger.info 'Finished workers'
end
def print_performance
puts "Performance: #{stats.inspect}"
end
private
def run_worker(worker)
logger.info "Starting worker #{worker}"
while !@jobs.empty? && (x = @jobs.pop)
logger.info "Worker #{worker} picked job: #{x.inspect}"
incr_counter(worker)
class_name, args = x
begin
@executor.call(class_name, args)
rescue => e
logger.error "Bad luck! Job #{job_name} has failed due to error: #{e.message}\n#{e.backtrace[0]}"
end
logger.info "Worker #{worker} finished job: #{x.inspect}"
end
logger.info "Stopping worker #{worker}"
end
def incr_counter(worker)
@stats[worker] ||= 0
@stats[worker] += 1
end
end
Copyright 2022 Roman Miro
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.
# Credits to Jacob: https://stackoverflow.com/a/6768164/10118318 . Licensed CC BY-SA 3.0
require 'logger'
module Logging
# This is the magical bit that gets mixed into your classes
def logger
Logging.logger
end
# Global, memoized, lazy initialized instance of a logger
def self.logger
@logger ||= Logger.new($stdout)
end
end
require 'resque'
class ResqueQueueDrainer
def initialize(data_store, queue_name)
@data_store = data_store
@queue_name = queue_name
end
def drain_all
while (payload = pop_job_data)
begin
job_data = JSON.parse(payload)
class_name = job_class_name(job_data)
args = job_args(job_data)
yield class_name, args
rescue JSON::ParserError
puts "Error parsing job data: #{payload[0, 1000]}"
end
end
end
private
def pop_job_data
@data_store.pop_from_queue(@queue_name)
end
def job_class_name(job_data)
job_data['class']
end
def job_args(job_data)
job_data.dig('args', 0)
end
end
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