Module: Datadog::Tracing::Component

Included in:
Core::Configuration::Components
Defined in:
lib/datadog/tracing/component.rb

Overview

Tracing component

Defined Under Namespace

Modules: InstanceMethods Classes: SamplerDelegatorComponent

Constant Summary collapse

WRITER_RECORD_ENVIRONMENT_INFORMATION_CALLBACK =
lambda do |_, responses|
  Tracing::Diagnostics::EnvironmentLogger.collect_and_log!(responses: responses)
end

Instance Method Summary collapse

Instance Method Details

#build_sampler(settings) ⇒ Object

TODO: Sampler should be a top-level component. It is currently part of the Tracer initialization process, but can take a variety of options (including a fully custom instance) that makes the Tracer initialization process complex.



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# File 'lib/datadog/tracing/component.rb', line 78

def build_sampler(settings)
  if (sampler = settings.tracing.sampler)
    if settings.tracing.priority_sampling == false
      sampler
    else
      ensure_priority_sampling(sampler, settings)
    end
  elsif (rules = settings.tracing.sampling.rules)
    post_sampler = Tracing::Sampling::RuleSampler.parse(
      rules,
      settings.tracing.sampling.rate_limit,
      settings.tracing.sampling.default_rate
    )

    post_sampler ||= # Fallback RuleSampler in case `rules` parsing fails
      Tracing::Sampling::RuleSampler.new(
        rate_limit: settings.tracing.sampling.rate_limit,
        default_sample_rate: settings.tracing.sampling.default_rate
      )

    Tracing::Sampling::PrioritySampler.new(
      base_sampler: Tracing::Sampling::AllSampler.new,
      post_sampler: post_sampler
    )
  elsif settings.tracing.priority_sampling == false
    Tracing::Sampling::RuleSampler.new(
      rate_limit: settings.tracing.sampling.rate_limit,
      default_sample_rate: settings.tracing.sampling.default_rate
    )
  else
    Tracing::Sampling::PrioritySampler.new(
      base_sampler: Tracing::Sampling::AllSampler.new,
      post_sampler: Tracing::Sampling::RuleSampler.new(
        rate_limit: settings.tracing.sampling.rate_limit,
        default_sample_rate: settings.tracing.sampling.default_rate
      )
    )
  end
end

#build_span_sampler(settings) ⇒ Object



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# File 'lib/datadog/tracing/component.rb', line 176

def build_span_sampler(settings)
  rules = Tracing::Sampling::Span::RuleParser.parse_json(settings.tracing.sampling.span_rules)
  Tracing::Sampling::Span::Sampler.new(rules || [])
end

#build_trace_flush(settings) ⇒ Object



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# File 'lib/datadog/tracing/component.rb', line 63

def build_trace_flush(settings)
  if settings.tracing.partial_flush.enabled
    Tracing::Flush::Partial.new(
      min_spans_before_partial_flush: settings.tracing.partial_flush.min_spans_threshold
    )
  else
    Tracing::Flush::Finished.new
  end
end

#build_tracer(settings, logger:) ⇒ Object



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# File 'lib/datadog/tracing/component.rb', line 26

def build_tracer(settings, logger:)
  # If a custom tracer has been provided, use it instead.
  # Ignore all other options (they should already be configured.)
  tracer = settings.tracing.instance
  return tracer unless tracer.nil?

  agent_settings = Configuration::AgentSettingsResolver.call(settings, logger: logger)

  # Apply test mode settings if test mode is activated
  if settings.tracing.test_mode.enabled
    trace_flush = build_test_mode_trace_flush(settings)
    sampler = build_test_mode_sampler
    writer = build_test_mode_writer(settings, agent_settings)
  else
    trace_flush = build_trace_flush(settings)
    sampler = build_sampler(settings)
    writer = build_writer(settings, agent_settings)
  end

  # The sampler instance is wrapped in a delegator,
  # so dynamic instrumentation can hot-swap it.
  # This prevents full tracer reinitialization on sampling changes.
  sampler_delegator = SamplerDelegatorComponent.new(sampler)

  subscribe_to_writer_events!(writer, sampler_delegator, settings.tracing.test_mode.enabled)

  Tracing::Tracer.new(
    default_service: settings.service,
    enabled: settings.tracing.enabled,
    trace_flush: trace_flush,
    sampler: sampler_delegator,
    span_sampler: build_span_sampler(settings),
    writer: writer,
    tags: build_tracer_tags(settings),
  )
end

#build_writer(settings, agent_settings, options = settings.tracing.writer_options) ⇒ Object

TODO: Writer should be a top-level component. It is currently part of the Tracer initialization process, but can take a variety of options (including a fully custom instance) that makes the Tracer initialization process complex.



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# File 'lib/datadog/tracing/component.rb', line 137

def build_writer(settings, agent_settings, options = settings.tracing.writer_options)
  if (writer = settings.tracing.writer)
    return writer
  end

  Tracing::Writer.new(agent_settings: agent_settings, **options)
end

#ensure_priority_sampling(sampler, settings) ⇒ Object



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# File 'lib/datadog/tracing/component.rb', line 118

def ensure_priority_sampling(sampler, settings)
  if sampler.is_a?(Tracing::Sampling::PrioritySampler)
    sampler
  else
    Tracing::Sampling::PrioritySampler.new(
      base_sampler: sampler,
      post_sampler: Tracing::Sampling::RuleSampler.new(
        rate_limit: settings.tracing.sampling.rate_limit,
        default_sample_rate: settings.tracing.sampling.default_rate
      )
    )
  end
end

#subscribe_to_writer_events!(writer, sampler_delegator, test_mode) ⇒ Object



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# File 'lib/datadog/tracing/component.rb', line 145

def subscribe_to_writer_events!(writer, sampler_delegator, test_mode)
  return unless writer.respond_to?(:events) # Check if it's a custom, external writer

  writer.events.after_send.subscribe(&WRITER_RECORD_ENVIRONMENT_INFORMATION_CALLBACK)

  # DEV: We need to ignore priority sampling updates coming from the agent in test mode
  # because test mode wants to *unconditionally* sample all traces.
  #
  # This can cause trace metrics to be overestimated, but that's a trade-off we take
  # here to achieve 100% sampling rate.
  return if test_mode

  writer.events.after_send.subscribe(&writer_update_priority_sampler_rates_callback(sampler_delegator))
end

#writer_update_priority_sampler_rates_callback(sampler) ⇒ Object

Create new lambda for writer callback, capture the current sampler in the callback closure.



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# File 'lib/datadog/tracing/component.rb', line 166

def writer_update_priority_sampler_rates_callback(sampler)
  lambda do |_, responses|
    response = responses.last

    next unless response && !response.internal_error? && response.service_rates

    sampler.update(response.service_rates, decision: Tracing::Sampling::Ext::Decision::AGENT_RATE)
  end
end