# frozen_string_literal: true module Kafka class Heartbeat def initialize(group:, interval:, instrumenter:) @group = group @interval = interval @last_heartbeat = Time.now @instrumenter = instrumenter end def trigger! @instrumenter.instrument('heartbeat.consumer', group_id: @group.group_id, topic_partitions: @group.assigned_partitions) do @group.heartbeat @last_heartbeat = Time.now end end end class Client def consumer( group_id:, session_timeout: 30, offset_commit_interval: 10, offset_commit_threshold: 0, heartbeat_interval: 10, offset_retention_time: nil, fetcher_max_queue_size: 100 ) cluster = initialize_cluster instrumenter = DecoratingInstrumenter.new(@instrumenter, group_id: group_id) # The Kafka protocol expects the retention time to be in ms. retention_time = (offset_retention_time && offset_retention_time * 1_000) || -1 group = ConsumerGroup.new( cluster: cluster, logger: @logger, group_id: group_id, session_timeout: session_timeout, retention_time: retention_time, instrumenter: instrumenter ) fetcher = Fetcher.new( cluster: initialize_cluster, group: group, logger: @logger, instrumenter: instrumenter, max_queue_size: fetcher_max_queue_size ) offset_manager = OffsetManager.new( cluster: cluster, group: group, fetcher: fetcher, logger: @logger, commit_interval: offset_commit_interval, commit_threshold: offset_commit_threshold, offset_retention_time: offset_retention_time ) heartbeat = Heartbeat.new( group: group, interval: heartbeat_interval, instrumenter: instrumenter ) Consumer.new( cluster: cluster, logger: @logger, instrumenter: instrumenter, group: group, offset_manager: offset_manager, fetcher: fetcher, session_timeout: session_timeout, heartbeat: heartbeat ) end end end