# encoding: utf-8 require "thread" require "stud/interval" require "concurrent" require "logstash-core/logstash-core" require "logstash/event" require "logstash/config/file" require "logstash/filters/base" require "logstash/inputs/base" require "logstash/outputs/base" require "logstash/instrument/collector" require "logstash/filter_delegator" require "logstash/compiler" module LogStash; class BasePipeline < AbstractPipeline include LogStash::Util::Loggable attr_reader :inputs, :filters, :outputs def initialize(pipeline_config, namespaced_metric = nil, agent = nil) @logger = self.logger super pipeline_config, namespaced_metric, @logger @inputs = nil @filters = nil @outputs = nil @agent = agent @plugin_factory = LogStash::Plugins::PluginFactory.new( # use NullMetric if called in the BasePipeline context otherwise use the @metric value lir, LogStash::Plugins::PluginMetricFactory.new(pipeline_id, metric), LogStash::Plugins::ExecutionContextFactory.new(@agent, self, dlq_writer), FilterDelegator ) grammar = LogStashConfigParser.new parsed_config = grammar.parse(config_str) raise(ConfigurationError, grammar.failure_reason) if parsed_config.nil? parsed_config.process_escape_sequences = settings.get_value("config.support_escapes") config_code = parsed_config.compile if settings.get_value("config.debug") @logger.debug("Compiled pipeline code", default_logging_keys(:code => config_code)) end # Evaluate the config compiled code that will initialize all the plugins and define the # filter and output methods. begin eval(config_code) rescue => e raise e end end def reloadable? configured_as_reloadable? && reloadable_plugins? end def reloadable_plugins? non_reloadable_plugins.empty? end def non_reloadable_plugins (inputs + filters + outputs).select { |plugin| !plugin.reloadable? } end private def plugin(plugin_type, name, line, column, *args) @plugin_factory.plugin(plugin_type, name, line, column, *args) end def default_logging_keys(other_keys = {}) { :pipeline_id => pipeline_id }.merge(other_keys) end end; end module LogStash; class Pipeline < BasePipeline attr_reader \ :worker_threads, :events_consumed, :events_filtered, :started_at, :thread MAX_INFLIGHT_WARN_THRESHOLD = 10_000 def initialize(pipeline_config, namespaced_metric = nil, agent = nil) super open_queue @worker_threads = [] @signal_queue = java.util.concurrent.LinkedBlockingQueue.new @drain_queue = settings.get_value("queue.drain") || settings.get("queue.type") == "memory" @events_filtered = java.util.concurrent.atomic.LongAdder.new @events_consumed = java.util.concurrent.atomic.LongAdder.new @input_threads = [] # @ready requires thread safety since it is typically polled from outside the pipeline thread @ready = Concurrent::AtomicBoolean.new(false) @running = Concurrent::AtomicBoolean.new(false) @flushing = Concurrent::AtomicReference.new(false) @outputs_registered = Concurrent::AtomicBoolean.new(false) @worker_shutdown = java.util.concurrent.atomic.AtomicBoolean.new(false) # @finished_execution signals that the pipeline thread has finished its execution # regardless of any exceptions; it will always be true when the thread completes @finished_execution = Concurrent::AtomicBoolean.new(false) # @finished_run signals that the run methods called in the pipeline thread was completed # without errors and it will NOT be set if the run method exits from an exception; this # is by design and necessary for the wait_until_started semantic @finished_run = Concurrent::AtomicBoolean.new(false) @thread = nil end # def initialize def finished_execution? @finished_execution.true? end def ready? @ready.value end def safe_pipeline_worker_count default = settings.get_default("pipeline.workers") pipeline_workers = settings.get("pipeline.workers") #override from args "-w 8" or config safe_filters, unsafe_filters = @filters.partition(&:threadsafe?) plugins = unsafe_filters.collect { |f| f.config_name } return pipeline_workers if unsafe_filters.empty? if settings.set?("pipeline.workers") if pipeline_workers > 1 @logger.warn("Warning: Manual override - there are filters that might not work with multiple worker threads", default_logging_keys(:worker_threads => pipeline_workers, :filters => plugins)) end else # user did not specify a worker thread count # warn if the default is multiple if default > 1 @logger.warn("Defaulting pipeline worker threads to 1 because there are some filters that might not work with multiple worker threads", default_logging_keys(:count_was => default, :filters => plugins)) return 1 # can't allow the default value to propagate if there are unsafe filters end end pipeline_workers end def filters? return @filters.any? end def start # Since we start lets assume that the metric namespace is cleared # this is useful in the context of pipeline reloading collect_stats collect_dlq_stats @logger.info("Starting pipeline", default_logging_keys( "pipeline.workers" => settings.get("pipeline.workers"), "pipeline.batch.size" => settings.get("pipeline.batch.size"), "pipeline.batch.delay" => settings.get("pipeline.batch.delay"))) @finished_execution.make_false @finished_run.make_false @thread = Thread.new do begin LogStash::Util.set_thread_name("pipeline.#{pipeline_id}") run @finished_run.make_true rescue => e close @logger.error("Pipeline aborted due to error", default_logging_keys(:exception => e, :backtrace => e.backtrace)) ensure @finished_execution.make_true end end status = wait_until_started if status @logger.info("Pipeline started successfully", default_logging_keys) end status end def wait_until_started while true do if @finished_run.true? # it completed run without exception return true elsif thread.nil? || !thread.alive? # some exception occured and the thread is dead return false elsif running? # fully initialized and running return true else sleep 0.01 end end end def run @started_at = Time.now @thread = Thread.current Util.set_thread_name("[#{pipeline_id}]-pipeline-manager") start_workers # Block until all inputs have stopped # Generally this happens if SIGINT is sent and `shutdown` is called from an external thread transition_to_running start_flusher # Launches a non-blocking thread for flush events wait_inputs transition_to_stopped shutdown_flusher @logger.debug("Shutting down filter/output workers", default_logging_keys) shutdown_workers close @logger.info("Pipeline has terminated", default_logging_keys) # exit code return 0 end # def run def transition_to_running @running.make_true end def transition_to_stopped @running.make_false end def running? @running.true? end def stopped? @running.false? end # register_plugin simply calls the plugin #register method and catches & logs any error # @param plugin [Plugin] the plugin to register # @return [Plugin] the registered plugin def register_plugin(plugin) plugin.register plugin rescue => e @logger.error("Error registering plugin", default_logging_keys(:plugin => plugin.inspect, :error => e.message)) raise e end # register_plugins calls #register_plugin on the plugins list and upon exception will call Plugin#do_close on all registered plugins # @param plugins [Array[Plugin]] the list of plugins to register def register_plugins(plugins) registered = [] plugins.each { |plugin| registered << register_plugin(plugin) } rescue => e registered.each(&:do_close) raise e end def start_workers @worker_threads.clear # In case we're restarting the pipeline @outputs_registered.make_false begin maybe_setup_out_plugins pipeline_workers = safe_pipeline_worker_count batch_size = settings.get("pipeline.batch.size") batch_delay = settings.get("pipeline.batch.delay") max_inflight = batch_size * pipeline_workers config_metric = metric.namespace([:stats, :pipelines, pipeline_id.to_s.to_sym, :config]) config_metric.gauge(:workers, pipeline_workers) config_metric.gauge(:batch_size, batch_size) config_metric.gauge(:batch_delay, batch_delay) config_metric.gauge(:config_reload_automatic, settings.get("config.reload.automatic")) config_metric.gauge(:config_reload_interval, settings.get("config.reload.interval")) config_metric.gauge(:dead_letter_queue_enabled, dlq_enabled?) config_metric.gauge(:dead_letter_queue_path, dlq_writer.get_path.to_absolute_path.to_s) if dlq_enabled? if max_inflight > MAX_INFLIGHT_WARN_THRESHOLD @logger.warn("CAUTION: Recommended inflight events max exceeded! Logstash will run with up to #{max_inflight} events in memory in your current configuration. If your message sizes are large this may cause instability with the default heap size. Please consider setting a non-standard heap size, changing the batch size (currently #{batch_size}), or changing the number of pipeline workers (currently #{pipeline_workers})", default_logging_keys) end pipeline_workers.times do |t| thread = Thread.new(batch_size, batch_delay, self) do |_b_size, _b_delay, _pipeline| Util.set_thread_name("[#{pipeline_id}]>worker#{t}") _pipeline.worker_loop(_b_size, _b_delay) end @worker_threads << thread end # inputs should be started last, after all workers begin start_inputs rescue => e # if there is any exception in starting inputs, make sure we shutdown workers. # exception will already by logged in start_inputs shutdown_workers raise e end ensure # it is important to guarantee @ready to be true after the startup sequence has been completed # to potentially unblock the shutdown method which may be waiting on @ready to proceed @ready.make_true end end # Main body of what a worker thread does # Repeatedly takes batches off the queue, filters, then outputs them def worker_loop(batch_size, batch_delay) filter_queue_client.set_batch_dimensions(batch_size, batch_delay) output_events_map = Hash.new { |h, k| h[k] = [] } while true signal = @signal_queue.poll || NO_SIGNAL batch = filter_queue_client.read_batch.to_java # metrics are started in read_batch batch_size = batch.filteredSize if batch_size > 0 @events_consumed.add(batch_size) filter_batch(batch) end flush_filters_to_batch(batch, :final => false) if signal.flush? if batch.filteredSize > 0 output_batch(batch, output_events_map) filter_queue_client.close_batch(batch) end # keep break at end of loop, after the read_batch operation, some pipeline specs rely on this "final read_batch" before shutdown. break if (@worker_shutdown.get && !draining_queue?) end # we are shutting down, queue is drained if it was required, now perform a final flush. # for this we need to create a new empty batch to contain the final flushed events batch = filter_queue_client.to_java.newBatch filter_queue_client.start_metrics(batch) # explicitly call start_metrics since we dont do a read_batch here flush_filters_to_batch(batch, :final => true) output_batch(batch, output_events_map) filter_queue_client.close_batch(batch) end def filter_batch(batch) filter_func(batch.to_a).each do |e| #these are both original and generated events batch.merge(e) unless e.cancelled? end filter_queue_client.add_filtered_metrics(batch.filtered_size) @events_filtered.add(batch.filteredSize) rescue Exception => e # Plugins authors should manage their own exceptions in the plugin code # but if an exception is raised up to the worker thread they are considered # fatal and logstash will not recover from this situation. # # Users need to check their configuration or see if there is a bug in the # plugin. @logger.error("Exception in pipelineworker, the pipeline stopped processing new events, please check your filter configuration and restart Logstash.", default_logging_keys("exception" => e.message, "backtrace" => e.backtrace)) raise e end # Take an array of events and send them to the correct output def output_batch(batch, output_events_map) # Build a mapping of { output_plugin => [events...]} batch.to_a.each do |event| # We ask the AST to tell us which outputs to send each event to # Then, we stick it in the correct bin output_func(event).each do |output| output_events_map[output].push(event) end end # Now that we have our output to event mapping we can just invoke each output # once with its list of events output_events_map.each do |output, events| output.multi_receive(events) events.clear end filter_queue_client.add_output_metrics(batch.filtered_size) end def wait_inputs @input_threads.each(&:join) end def start_inputs moreinputs = [] @inputs.each do |input| if input.threadable && input.threads > 1 (input.threads - 1).times do |i| moreinputs << input.clone end end end @inputs += moreinputs # first make sure we can register all input plugins register_plugins(@inputs) # then after all input plugins are successfully registered, start them @inputs.each { |input| start_input(input) } end def start_input(plugin) @input_threads << Thread.new { inputworker(plugin) } end def inputworker(plugin) Util::set_thread_name("[#{pipeline_id}]<#{plugin.class.config_name}") begin plugin.run(wrapped_write_client(plugin.id.to_sym)) rescue => e if plugin.stop? @logger.debug("Input plugin raised exception during shutdown, ignoring it.", default_logging_keys(:plugin => plugin.class.config_name, :exception => e.message, :backtrace => e.backtrace)) return end # otherwise, report error and restart @logger.error(I18n.t("logstash.pipeline.worker-error-debug", default_logging_keys( :plugin => plugin.inspect, :error => e.message, :exception => e.class, :stacktrace => e.backtrace.join("\n")))) # Assuming the failure that caused this exception is transient, # let's sleep for a bit and execute #run again sleep(1) retry ensure plugin.do_close end end # def inputworker # initiate the pipeline shutdown sequence # this method is intended to be called from outside the pipeline thread # @param before_stop [Proc] code block called before performing stop operation on input plugins def shutdown(&before_stop) # shutdown can only start once the pipeline has completed its startup. # avoid potential race condition between the startup sequence and this # shutdown method which can be called from another thread at any time sleep(0.1) while !ready? # TODO: should we also check against calling shutdown multiple times concurrently? before_stop.call if block_given? stop_inputs # We make this call blocking, so we know for sure when the method return the shtudown is # stopped wait_for_workers clear_pipeline_metrics end # def shutdown def wait_for_workers @worker_threads.each do |t| t.join @logger.debug("Worker terminated", default_logging_keys(:thread => t.inspect)) end end def stop_inputs @logger.debug("Stopping inputs", default_logging_keys) @inputs.each(&:do_stop) @logger.debug("Stopped inputs", default_logging_keys) end # After `shutdown` is called from an external thread this is called from the main thread to # tell the worker threads to stop and then block until they've fully stopped # This also stops all filter and output plugins def shutdown_workers @logger.debug("Setting shutdown", default_logging_keys) @worker_shutdown.set(true) @worker_threads.each do |t| @logger.debug("Shutdown waiting for worker thread" , default_logging_keys(:thread => t.inspect)) t.join end @filters.each(&:do_close) @outputs.each(&:do_close) end # for backward compatibility in devutils for the rspec helpers, this method is not used # in the pipeline anymore. def filter(event, &block) maybe_setup_out_plugins # filter_func returns all filtered events, including cancelled ones filter_func([event]).each {|e| block.call(e)} end # perform filters flush and yield flushed event to the passed block # @param options [Hash] # @option options [Boolean] :final => true to signal a final shutdown flush def flush_filters(options = {}, &block) flushers = options[:final] ? @shutdown_flushers : @periodic_flushers flushers.each do |flusher| flusher.call(options, &block) end end def start_flusher # Invariant to help detect improper initialization raise "Attempted to start flusher on a stopped pipeline!" if stopped? @flusher_thread = Thread.new do while Stud.stoppable_sleep(5, 0.1) { stopped? } flush break if stopped? end end end def shutdown_flusher @flusher_thread.join end def flush if @flushing.compare_and_set(false, true) @logger.debug? && @logger.debug("Pushing flush onto pipeline", default_logging_keys) @signal_queue.put(FLUSH) end end # Calculate the uptime in milliseconds # # @return [Integer] Uptime in milliseconds, 0 if the pipeline is not started def uptime return 0 if started_at.nil? ((Time.now.to_f - started_at.to_f) * 1000.0).to_i end # perform filters flush into the output queue # # @param batch [ReadClient::ReadBatch] # @param options [Hash] def flush_filters_to_batch(batch, options = {}) flush_filters(options) do |event| unless event.cancelled? @logger.debug? and @logger.debug("Pushing flushed events", default_logging_keys(:event => event)) batch.merge(event) end end @flushing.set(false) end # flush_filters_to_batch def plugin_threads_info input_threads = @input_threads.select {|t| t.alive? } worker_threads = @worker_threads.select {|t| t.alive? } (input_threads + worker_threads).map {|t| Util.thread_info(t) } end def stalling_threads_info plugin_threads_info .reject {|t| t["blocked_on"] } # known benign blocking statuses .each {|t| t.delete("backtrace") } .each {|t| t.delete("blocked_on") } .each {|t| t.delete("status") } end def clear_pipeline_metrics # TODO(ph): I think the metric should also proxy that call correctly to the collector # this will simplify everything since the null metric would simply just do a noop collector = metric.collector unless collector.nil? # selectively reset metrics we don't wish to keep after reloading # these include metrics about the plugins and number of processed events # we want to keep other metrics like reload counts and error messages collector.clear("stats/pipelines/#{pipeline_id}/plugins") collector.clear("stats/pipelines/#{pipeline_id}/events") end end # Sometimes we log stuff that will dump the pipeline which may contain # sensitive information (like the raw syntax tree which can contain passwords) # We want to hide most of what's in here def inspect { :pipeline_id => pipeline_id, :settings => settings.inspect, :ready => @ready, :running => @running, :flushing => @flushing } end private def maybe_setup_out_plugins if @outputs_registered.make_true register_plugins(@outputs) register_plugins(@filters) end end def default_logging_keys(other_keys = {}) keys = super keys[:thread] ||= thread.inspect if thread keys end def draining_queue? @drain_queue ? !filter_queue_client.empty? : false end end; end