Class: Fluent::MetricSenseOutput

Inherits:
BufferedOutput
  • Object
show all
Defined in:
lib/fluent/plugin/out_metricsense.rb

Defined Under Namespace

Modules: Backends, UpdateMode Classes: AddUpdater, AggregationKey, Backend, MaxUpdater

Constant Summary collapse

BACKENDS = 
{}

Class Method Summary collapse

Instance Method Summary collapse

Class Method Details

.register_backend(name, klass) ⇒ Object 



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# File 'lib/fluent/plugin/out_metricsense.rb', line 26

def self.register_backend(name, klass)
  BACKENDS[name] = klass
end

Instance Method Details

#configure(conf) ⇒ Object 



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# File 'lib/fluent/plugin/out_metricsense.rb', line 66

def configure(conf)
  super

  if @remove_tag_prefix
    @remove_tag_prefix = Regexp.new('^' + Regexp.escape(@remove_tag_prefix) + "\\.?")
  end

  @no_segment_keys = (conf.has_key?('no_segment_keys') && (conf['no_segment_keys'].empty? || conf['no_segment_keys'] == 'true'))

  if @only_segment_keys
    @only_segment_keys = @only_segment_keys.strip.split(/\s*,\s*/)
  end

  if @exclude_segment_keys
    @exclude_segment_keys = @exclude_segment_keys.strip.split(/\s*,\s*/)
  end

  be = BACKENDS[@backend]
  unless be
    raise ConfigError, "unknown backend: #{@backend.inspect}"
  end

  # aggregate_interval must be a multiple of 60 to normalize values
  # into X per minute
  @aggregate_interval = @aggregate_interval.to_i / 60 * 60
  @normalize_factor = @aggregate_interval / 60

  @backend = be.new
  @backend.configure(conf)
end

#format_stream(tag, es) ⇒ Object 



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# File 'lib/fluent/plugin/out_metricsense.rb', line 107

def format_stream(tag, es)
  # modify tag
  tag = tag.sub(@remove_tag_prefix, '') if @remove_tag_prefix
  tag = "#{add_tag_prefix}.#{tag}" if @add_tag_prefix

  out = ''
  es.each do |time,record|
    # dup record to modify
    record = record.dup

    # get value
    value = record.delete(@value_key)

    # ignore record if value is invalid or 0
    begin
      fv = value.to_f
    rescue
      next
    end
    next if fv == 0.0

    # use integer if value.to_f == value.to_f.to_i
    iv = fv.to_i
    if iv.to_f == fv
      value = iv
    else
      value = fv
    end

    # get update_mode key
    update_mode = record.delete(@update_mode_key)
    case update_mode
    when "max"
      update_mode = UpdateMode::MAX
    else
      # default is add
      update_mode = UpdateMode::ADD
    end

    # get segments
    if @no_segment_keys
      segments = {}
    else
      if @only_segment_keys
        segments = {}
        @only_segment_keys.each {|key|
          if v = record[key]
            segments[key] = v
          end
        }
      else
        segments = record
      end
      if @exclude_segment_keys
        @exclude_segment_keys.each {|key|
          segments.delete(key)
        }
      end
    end

    [tag, time, value, segments, update_mode].to_msgpack(out)
  end

  out
end

#shutdown ⇒ Object 



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# File 'lib/fluent/plugin/out_metricsense.rb', line 102

def shutdown
  super
  @backend.shutdown
end

#start ⇒ Object 



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# File 'lib/fluent/plugin/out_metricsense.rb', line 97

def start
  @backend.start
  super
end

#write(chunk) ⇒ Object 



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# File 'lib/fluent/plugin/out_metricsense.rb', line 216

def write(chunk)
  counters = {}

  # select sum(value) from chunk group by tag, time/60, seg_val, seg_key
  chunk.msgpack_each {|tag,time,value,segments,update_mode|
    time = time / @aggregate_interval * @aggregate_interval

    case update_mode
    when UpdateMode::ADD
      updater = AddUpdater
    when UpdateMode::MAX
      updater = MaxUpdater
    else  # default is AddUpdater
      updater = AddUpdater
    end

    # total value
    ak = AggregationKey.new(tag, time, nil, nil)
    (counters[ak] ||= updater.new).add(value)

    # segmented values
    segments = Hash[segments] if segments.is_a?(Array)  # for backward compat

    segments.each_pair {|seg_key,seg_val|
      ak = AggregationKey.new(tag, time, seg_val, seg_key)
      (counters[ak] ||= updater.new).add(value)
    }
  }

  data = []
  counters.each_pair {|ak,up|
    data << [ak.tag, ak.time, up.normalized_value(@normalize_factor), ak.seg_key, ak.seg_val, up.mode]
  }

  @backend.write(data)
end