Class: OpenTelemetry::SDK::Metrics::Exemplar::SimpleFixedSizeExemplarReservoir
- Inherits:
-
ExemplarReservoir
- Object
- ExemplarReservoir
- OpenTelemetry::SDK::Metrics::Exemplar::SimpleFixedSizeExemplarReservoir
- Defined in:
- lib/opentelemetry/sdk/metrics/exemplar/simple_fixed_size_exemplar_reservoir.rb
Overview
SimpleFixedSizeExemplarReservoir uses a uniformly-weighted sampling algorithm based on the number of samples the reservoir has seen so far to determine if the offered measurements should be sampled
Constant Summary collapse
- DEFAULT_SIZE =
Default to number of CPUs for better concurrent performance, fallback to 1
begin Etc.nprocessors rescue StandardError 1 end
Instance Method Summary collapse
-
#collect(attributes: nil, aggregation_temporality: nil) ⇒ Object
Reset measurement counter on collection for delta temporality.
- #find_histogram_bucket ⇒ Object
-
#initialize(max_size: nil) ⇒ SimpleFixedSizeExemplarReservoir
constructor
A new instance of SimpleFixedSizeExemplarReservoir.
-
#offer(value: nil, timestamp: nil, attributes: nil, context: nil) ⇒ Object
Uses a uniformly-weighted sampling algorithm based on the number of samples the reservoir has seen Fill the buckets array first then randomly override existing bucket.
- #reset ⇒ Object
Constructor Details
#initialize(max_size: nil) ⇒ SimpleFixedSizeExemplarReservoir
Returns a new instance of SimpleFixedSizeExemplarReservoir.
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# File 'lib/opentelemetry/sdk/metrics/exemplar/simple_fixed_size_exemplar_reservoir.rb', line 22 def initialize(max_size: nil) @max_size = max_size || DEFAULT_SIZE reset end |
Instance Method Details
#collect(attributes: nil, aggregation_temporality: nil) ⇒ Object
Reset measurement counter on collection for delta temporality
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# File 'lib/opentelemetry/sdk/metrics/exemplar/simple_fixed_size_exemplar_reservoir.rb', line 37 def collect(attributes: nil, aggregation_temporality: nil) exemplars = [] @exemplar_buckets.each do |bucket| exemplars << bucket.collect(point_attributes: attributes) end reset if aggregation_temporality == :delta exemplars.compact! exemplars end |
#find_histogram_bucket ⇒ Object
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# File 'lib/opentelemetry/sdk/metrics/exemplar/simple_fixed_size_exemplar_reservoir.rb', line 52 def find_histogram_bucket @num_measurements_seen < @max_size ? @num_measurements_seen : rand(0..@num_measurements_seen - 1) end |
#offer(value: nil, timestamp: nil, attributes: nil, context: nil) ⇒ Object
Uses a uniformly-weighted sampling algorithm based on the number of samples the reservoir has seen Fill the buckets array first then randomly override existing bucket
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# File 'lib/opentelemetry/sdk/metrics/exemplar/simple_fixed_size_exemplar_reservoir.rb', line 29 def offer(value: nil, timestamp: nil, attributes: nil, context: nil) bucket_index = find_histogram_bucket @exemplar_buckets[bucket_index].offer(value: value, time_unix_nano: , attributes: attributes, context: context) if bucket_index < @max_size @num_measurements_seen += 1 nil end |
#reset ⇒ Object
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# File 'lib/opentelemetry/sdk/metrics/exemplar/simple_fixed_size_exemplar_reservoir.rb', line 47 def reset @exemplar_buckets = Array.new(@max_size) { ExemplarBucket.new } @num_measurements_seen = 0 end |