mirror of
https://github.com/mperham/sidekiq.git
synced 2022-11-09 13:52:34 -05:00
257 lines
7 KiB
Ruby
257 lines
7 KiB
Ruby
# frozen_string_literal: true
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require "sidekiq/manager"
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require "sidekiq/capsule"
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require "sidekiq/scheduled"
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require "sidekiq/ring_buffer"
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module Sidekiq
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# The Launcher starts the Capsule Managers, the Poller thread and provides the process heartbeat.
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class Launcher
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include Sidekiq::Component
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STATS_TTL = 5 * 365 * 24 * 60 * 60 # 5 years
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PROCTITLES = [
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proc { "sidekiq" },
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proc { Sidekiq::VERSION },
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proc { |me, data| data["tag"] },
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proc { |me, data| "[#{Processor::WORK_STATE.size} of #{me.config.total_concurrency} busy]" },
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proc { |me, data| "stopping" if me.stopping? }
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]
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attr_accessor :managers, :poller
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def initialize(config, embedded: false)
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@config = config
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@embedded = embedded
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@managers = config.capsules.values.map do |cap|
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Sidekiq::Manager.new(cap)
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end
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@poller = Sidekiq::Scheduled::Poller.new(@config)
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@done = false
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end
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def run
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Sidekiq.freeze!
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@thread = safe_thread("heartbeat", &method(:start_heartbeat))
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@poller.start
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@managers.each(&:start)
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end
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# Stops this instance from processing any more jobs,
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#
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def quiet
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return if @done
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@done = true
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@managers.each(&:quiet)
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@poller.terminate
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fire_event(:quiet, reverse: true)
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end
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# Shuts down this Sidekiq instance. Waits up to the deadline for all jobs to complete.
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def stop
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deadline = ::Process.clock_gettime(::Process::CLOCK_MONOTONIC) + @config[:timeout]
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quiet
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stoppers = @managers.map do |mgr|
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Thread.new do
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mgr.stop(deadline)
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end
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end
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fire_event(:shutdown, reverse: true)
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stoppers.each(&:join)
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clear_heartbeat
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end
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def stopping?
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@done
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end
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private unless $TESTING
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BEAT_PAUSE = 10
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def start_heartbeat
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loop do
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heartbeat
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sleep BEAT_PAUSE
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end
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logger.info("Heartbeat stopping...")
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end
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def clear_heartbeat
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flush_stats
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# Remove record from Redis since we are shutting down.
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# Note we don't stop the heartbeat thread; if the process
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# doesn't actually exit, it'll reappear in the Web UI.
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redis do |conn|
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conn.pipelined do |pipeline|
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pipeline.srem("processes", [identity])
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pipeline.unlink("#{identity}:work")
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end
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end
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rescue
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# best effort, ignore network errors
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end
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def heartbeat
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$0 = PROCTITLES.map { |proc| proc.call(self, to_data) }.compact.join(" ") unless @embedded
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❤
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end
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def flush_stats
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fails = Processor::FAILURE.reset
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procd = Processor::PROCESSED.reset
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return if fails + procd == 0
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nowdate = Time.now.utc.strftime("%Y-%m-%d")
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begin
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redis do |conn|
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conn.pipelined do |pipeline|
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pipeline.incrby("stat:processed", procd)
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pipeline.incrby("stat:processed:#{nowdate}", procd)
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pipeline.expire("stat:processed:#{nowdate}", STATS_TTL)
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pipeline.incrby("stat:failed", fails)
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pipeline.incrby("stat:failed:#{nowdate}", fails)
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pipeline.expire("stat:failed:#{nowdate}", STATS_TTL)
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end
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end
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rescue => ex
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logger.warn("Unable to flush stats: #{ex}")
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end
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end
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def ❤
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key = identity
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fails = procd = 0
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begin
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flush_stats
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curstate = Processor::WORK_STATE.dup
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redis do |conn|
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# work is the current set of executing jobs
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work_key = "#{key}:work"
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conn.pipelined do |transaction|
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transaction.unlink(work_key)
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curstate.each_pair do |tid, hash|
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transaction.hset(work_key, tid, Sidekiq.dump_json(hash))
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end
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transaction.expire(work_key, 60)
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end
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end
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rtt = check_rtt
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fails = procd = 0
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kb = memory_usage(::Process.pid)
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_, exists, _, _, msg = redis { |conn|
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conn.multi { |transaction|
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transaction.sadd("processes", [key])
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transaction.exists(key)
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transaction.hmset(key, "info", to_json,
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"busy", curstate.size,
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"beat", Time.now.to_f,
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"rtt_us", rtt,
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"quiet", @done.to_s,
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"rss", kb)
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transaction.expire(key, 60)
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transaction.rpop("#{key}-signals")
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}
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}
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# first heartbeat or recovering from an outage and need to reestablish our heartbeat
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fire_event(:heartbeat) unless exists > 0
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fire_event(:beat, oneshot: false)
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return unless msg
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::Process.kill(msg, ::Process.pid)
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rescue => e
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# ignore all redis/network issues
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logger.error("heartbeat: #{e}")
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# don't lose the counts if there was a network issue
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Processor::PROCESSED.incr(procd)
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Processor::FAILURE.incr(fails)
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end
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end
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# We run the heartbeat every five seconds.
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# Capture five samples of RTT, log a warning if each sample
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# is above our warning threshold.
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RTT_READINGS = RingBuffer.new(5)
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RTT_WARNING_LEVEL = 50_000
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def check_rtt
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a = b = 0
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redis do |x|
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a = ::Process.clock_gettime(::Process::CLOCK_MONOTONIC, :microsecond)
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x.ping
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b = ::Process.clock_gettime(::Process::CLOCK_MONOTONIC, :microsecond)
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end
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rtt = b - a
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RTT_READINGS << rtt
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# Ideal RTT for Redis is < 1000µs
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# Workable is < 10,000µs
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# Log a warning if it's a disaster.
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if RTT_READINGS.all? { |x| x > RTT_WARNING_LEVEL }
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logger.warn <<~EOM
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Your Redis network connection is performing extremely poorly.
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Last RTT readings were #{RTT_READINGS.buffer.inspect}, ideally these should be < 1000.
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Ensure Redis is running in the same AZ or datacenter as Sidekiq.
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If these values are close to 100,000, that means your Sidekiq process may be
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CPU-saturated; reduce your concurrency and/or see https://github.com/mperham/sidekiq/discussions/5039
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EOM
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RTT_READINGS.reset
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end
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rtt
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end
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MEMORY_GRABBER = case RUBY_PLATFORM
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when /linux/
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->(pid) {
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IO.readlines("/proc/#{$$}/status").each do |line|
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next unless line.start_with?("VmRSS:")
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break line.split[1].to_i
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end
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}
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when /darwin|bsd/
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->(pid) {
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`ps -o pid,rss -p #{pid}`.lines.last.split.last.to_i
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}
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else
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->(pid) { 0 }
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end
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def memory_usage(pid)
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MEMORY_GRABBER.call(pid)
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end
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def to_data
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@data ||= {
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"hostname" => hostname,
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"started_at" => Time.now.to_f,
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"pid" => ::Process.pid,
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"tag" => @config[:tag] || "",
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"concurrency" => @config.total_concurrency,
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"queues" => @config.capsules.values.map { |cap| cap.queues }.flatten.uniq,
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"labels" => @config[:labels].to_a,
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"identity" => identity
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}
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end
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def to_json
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# this data changes infrequently so dump it to a string
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# now so we don't need to dump it every heartbeat.
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@json ||= Sidekiq.dump_json(to_data)
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end
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end
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end
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