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mperham--sidekiq/lib/sidekiq/processor.rb

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require 'sidekiq/util'
require 'sidekiq/fetch'
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require 'thread'
require 'concurrent'
module Sidekiq
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##
# The Processor receives a message from the Manager and actually
# processes it. It instantiates the worker, runs the middleware
# chain and then calls Sidekiq::Worker#perform.
class Processor
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# To prevent a memory leak, ensure that stats expire. However, they
# should take up a minimal amount of storage so keep them around
# for a long time.
STATS_TIMEOUT = 24 * 60 * 60 * 365 * 5
include Util
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attr_reader :thread
attr_accessor :job
def initialize(mgr, options)
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@mgr = mgr
@down = false
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@done = false
@job = nil
@strategy = (options[:fetch] || Sidekiq::BasicFetch).new(options)
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end
def terminate(wait=false)
@done = true
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@thread.value if wait
end
def kill(wait=false)
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# unlike the other actors, terminate does not wait
# for the thread to finish because we don't know how
# long the job will take to finish. Instead we
# provide a `kill` method to call after the shutdown
# timeout passes.
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@thread.raise ::Sidekiq::Shutdown
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@thread.value if wait
end
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def start
@thread ||= safe_thread("processor", &method(:run))
end
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private unless $TESTING
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def run
begin
while !@done
self.job = fetch
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process(job) if job
self.job = nil
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end
rescue Exception => ex
@mgr.processor_died(self, ex)
end
end
def get_one
begin
work = @strategy.retrieve_work
(logger.info("Redis is online, #{Time.now - @down} sec downtime"); @down = nil) if @down
work
rescue => ex
handle_fetch_exception(ex)
end
end
def fetch
j = get_one
if j && @done
j.requeue
nil
else
j
end
end
def handle_fetch_exception(ex)
if !@down
@down = Time.now
logger.error("Error fetching message: #{ex}")
ex.backtrace.each do |bt|
logger.error(bt)
end
end
sleep(1)
end
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def process(work)
msgstr = work.message
queue = work.queue_name
ack = false
begin
msg = Sidekiq.load_json(msgstr)
klass = msg['class'.freeze].constantize
worker = klass.new
worker.jid = msg['jid'.freeze]
stats(worker, msg, queue) do
Sidekiq.server_middleware.invoke(worker, msg, queue) do
# Only ack if we either attempted to start this job or
# successfully completed it. This prevents us from
# losing jobs if a middleware raises an exception before yielding
ack = true
execute_job(worker, cloned(msg['args'.freeze]))
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end
end
ack = true
rescue Sidekiq::Shutdown
# Had to force kill this job because it didn't finish
# within the timeout. Don't acknowledge the work since
# we didn't properly finish it.
ack = false
rescue Exception => ex
handle_exception(ex, msg || { :message => msgstr })
raise
ensure
work.acknowledge if ack
end
end
def execute_job(worker, cloned_args)
worker.perform(*cloned_args)
end
def thread_identity
@str ||= Thread.current.object_id.to_s(36)
end
WORKER_STATE = Concurrent::Map.new
PROCESSED = Concurrent::AtomicFixnum.new
FAILURE = Concurrent::AtomicFixnum.new
def stats(worker, msg, queue)
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# Do not conflate errors from the job with errors caused by updating
# stats so calling code can react appropriately
tid = thread_identity
WORKER_STATE[tid] = {:queue => queue, :payload => msg, :run_at => Time.now.to_i }
begin
yield
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rescue Exception
FAILURE.increment
raise
ensure
WORKER_STATE.delete(tid)
PROCESSED.increment
end
end
# Deep clone the arguments passed to the worker so that if
# the message fails, what is pushed back onto Redis hasn't
# been mutated by the worker.
def cloned(ary)
Marshal.load(Marshal.dump(ary))
end
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# If an exception occurs in the block passed to this method, that block will be retried up to max_retries times.
# All exceptions will be swallowed and logged.
def retry_and_suppress_exceptions(max_retries = 5)
retry_count = 0
begin
yield
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rescue => e
retry_count += 1
if retry_count <= max_retries
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Sidekiq.logger.info {"Suppressing and retrying error: #{e.inspect}"}
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pause_for_recovery(retry_count)
retry
else
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handle_exception(e, { :message => "Exhausted #{max_retries} retries"})
end
end
end
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def pause_for_recovery(retry_count)
sleep(retry_count)
end
end
end