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mperham--sidekiq/lib/sidekiq/scheduled.rb

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require 'sidekiq'
require 'sidekiq/util'
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require 'sidekiq/api'
module Sidekiq
module Scheduled
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SETS = %w(retry schedule)
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class Enq
def enqueue_jobs(now=Time.now.to_f.to_s, sorted_sets=SETS)
# A job's "score" in Redis is the time at which it should be processed.
# Just check Redis for the set of jobs with a timestamp before now.
Sidekiq.redis do |conn|
sorted_sets.each do |sorted_set|
# Get the next item in the queue if it's score (time to execute) is <= now.
# We need to go through the list one at a time to reduce the risk of something
# going wrong between the time jobs are popped from the scheduled queue and when
# they are pushed onto a work queue and losing the jobs.
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while job = conn.zrangebyscore(sorted_set, '-inf'.freeze, now, :limit => [0, 1]).first do
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# Pop item off the queue and add it to the work queue. If the job can't be popped from
# the queue, it's because another process already popped it so we can move on to the
# next one.
if conn.zrem(sorted_set, job)
Sidekiq::Client.push(Sidekiq.load_json(job))
Sidekiq::Logging.logger.debug { "enqueued #{sorted_set}: #{job}" }
end
end
end
end
end
end
##
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# The Poller checks Redis every N seconds for jobs in the retry or scheduled
# set have passed their timestamp and should be enqueued. If so, it
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# just pops the job back onto its original queue so the
# workers can pick it up like any other job.
class Poller
include Util
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INITIAL_WAIT = 10
def initialize
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@enq = (Sidekiq.options[:scheduled_enq] || Sidekiq::Scheduled::Enq).new
@done = false
@queue = ConnectionPool::TimedStack.new
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end
# Shut down this Fetcher instance, will pause until
# the thread is dead.
def terminate
@done = true
if @thread
t = @thread
@thread = nil
@queue << 0
t.value
end
end
def start
@thread ||= safe_thread("scheduler") do
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initial_wait
while !@done
enqueue
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wait
end
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Sidekiq.logger.info("Scheduler exiting...")
end
end
def enqueue
begin
@enq.enqueue_jobs
rescue => ex
# Most likely a problem with redis networking.
# Punt and try again at the next interval
logger.error ex.message
logger.error ex.backtrace.first
end
end
private
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def wait
@queue.pop(random_poll_interval)
rescue Timeout::Error
end
# Calculates a random interval that is ±50% the desired average.
def random_poll_interval
poll_interval_average * rand + poll_interval_average.to_f / 2
end
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# We do our best to tune the poll interval to the size of the active Sidekiq
# cluster. If you have 30 processes and poll every 15 seconds, that means one
# Sidekiq is checking Redis every 0.5 seconds - way too often for most people
# and really bad if the retry or scheduled sets are large.
#
# Instead try to avoid polling more than once every 15 seconds. If you have
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# 30 Sidekiq processes, we'll poll every 30 * 15 or 450 seconds.
# To keep things statistically random, we'll sleep a random amount between
# 225 and 675 seconds for each poll or 450 seconds on average. Otherwise restarting
# all your Sidekiq processes at the same time will lead to them all polling at
# the same time: the thundering herd problem.
#
# We only do this if poll_interval is unset (the default).
def poll_interval_average
Sidekiq.options[:poll_interval_average] ||= scaled_poll_interval
end
# Calculates an average poll interval based on the number of known Sidekiq processes.
# This minimizes a single point of failure by dispersing check-ins but without taxing
# Redis if you run many Sidekiq processes.
def scaled_poll_interval
pcount = Sidekiq::ProcessSet.new.size
pcount = 1 if pcount == 0
pcount * Sidekiq.options[:average_scheduled_poll_interval]
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end
def initial_wait
# Have all processes sleep between 5-15 seconds. 10 seconds
# to give time for the heartbeat to register (if the poll interval is going to be calculated by the number
# of workers), and 5 random seconds to ensure they don't all hit Redis at the same time.
total = 0
total += INITIAL_WAIT unless Sidekiq.options[:poll_interval_average]
total += (5 * rand)
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@queue.pop(total)
rescue Timeout::Error
end
end
end
end