Class: Drone::Metrics::Histogram
- Inherits:
-
Drone::Metric
- Object
- Drone::Metric
- Drone::Metrics::Histogram
- Defined in:
- lib/drone/metrics/histogram.rb
Overview
An Histogram store a list of values (1028) and can compute on demand statistics on those values:
-
min/max
-
mean
-
stddev
-
percentiles
Constant Summary collapse
- MIN =
(-(2**63)).freeze
- MAX =
((2**64) - 1).freeze
Instance Attribute Summary
Attributes inherited from Drone::Metric
Instance Method Summary collapse
- #clear ⇒ Object
- #count ⇒ Object
-
#initialize(name, sample_or_type = :uniform) ⇒ Histogram
constructor
A new instance of Histogram.
- #max ⇒ Object
- #mean ⇒ Object
- #median ⇒ Object
- #min ⇒ Object
- #percentiles(*percentiles) ⇒ Object
- #stdDev ⇒ Object
- #update(val) ⇒ Object
- #values ⇒ Object
Constructor Details
#initialize(name, sample_or_type = :uniform) ⇒ Histogram
Returns a new instance of Histogram.
19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 |
# File 'lib/drone/metrics/histogram.rb', line 19 def initialize(name, sample_or_type = :uniform) super(name) if sample_or_type.is_a?(Symbol) case sample_or_type when :uniform then @sample = UniformSample.new("#{name}:sample", 1028) when :biased then @sample = ExponentiallyDecayingSample.new("#{name}:sample", 1028, 0.015) else raise ArgumentError, "unknown type: #{sample_or_type}" end else @sample = sample_or_type end @count = Drone::request_number("#{name}:count", 0) @_min = Drone::request_number("#{name}:min", MAX) @_max = Drone::request_number("#{name}:max", MIN) @_sum = Drone::request_number("#{name}:max", 0) @varianceM = Drone::request_number("#{name}:varianceM", -1) @varianceS = Drone::request_number("#{name}:varianceS", 0) end |
Instance Method Details
#clear ⇒ Object
42 43 44 45 46 47 48 49 50 51 |
# File 'lib/drone/metrics/histogram.rb', line 42 def clear @sample.clear() @count = Drone::request_number("#{name}:count", 0) @_min = Drone::request_number("#{name}:min", MAX) @_max = Drone::request_number("#{name}:max", MIN) @_sum = Drone::request_number("#{name}:max", 0) @varianceM = Drone::request_number("#{name}:varianceM", -1) @varianceS = Drone::request_number("#{name}:varianceS", 0) end |
#count ⇒ Object
62 63 64 |
# File 'lib/drone/metrics/histogram.rb', line 62 def count @count.get end |
#max ⇒ Object
66 67 68 |
# File 'lib/drone/metrics/histogram.rb', line 66 def max (@count.get > 0) ? @_max.get : 0.0 end |
#mean ⇒ Object
74 75 76 |
# File 'lib/drone/metrics/histogram.rb', line 74 def mean (@count.get > 0) ? @_sum.get.to_f / @count.get : 0.0 end |
#median ⇒ Object
82 83 84 |
# File 'lib/drone/metrics/histogram.rb', line 82 def median percentiles(0.5)[0] end |
#min ⇒ Object
70 71 72 |
# File 'lib/drone/metrics/histogram.rb', line 70 def min (@count.get > 0) ? @_min.get : 0.0 end |
#percentiles(*percentiles) ⇒ Object
86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 |
# File 'lib/drone/metrics/histogram.rb', line 86 def percentiles(*percentiles) scores = Array.new(percentiles.size, 0) if @count.get > 0 values = @sample.values.sort percentiles.each.with_index do |p, i| pos = p * (values.size + 1) if pos < 1 scores[i] = values[0] elsif pos >= values.size scores[i] = values[-1] else lower = values[pos - 1] upper = values[pos] scores[i] = lower + (pos - pos.floor) * (upper - lower) end end end scores end |
#stdDev ⇒ Object
78 79 80 |
# File 'lib/drone/metrics/histogram.rb', line 78 def stdDev (@count.get > 0) ? Math.sqrt( variance() ) : 0.0 end |
#update(val) ⇒ Object
53 54 55 56 57 58 59 60 |
# File 'lib/drone/metrics/histogram.rb', line 53 def update(val) @count.inc @sample.update(val) set_max(val); set_min(val); @_sum.inc(val) update_variance(val) end |
#values ⇒ Object
107 108 109 |
# File 'lib/drone/metrics/histogram.rb', line 107 def values @sample.values end |