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require 'spec_helper'
RSpec.describe Jaeger::Samplers::PerOperation do
let(:sampler) { described_class.new(strategies: strategies, max_operations: max_operations) }
let(:max_operations) { 100 }
let(:start_time) { Time.now }
before { Timecop.freeze(start_time) }
after { Timecop.return }
context 'when operation strategy is defined' do
context 'when operation rate is set to 0' do
let(:strategies) do
{
default_sampling_probability: 1.0,
default_lower_bound_traces_per_second: 1,
per_operation_strategies: [
{ operation: 'foo', probabilistic_sampling: { sampling_rate: 0 } }
]
}
end
it 'uses lower bound sampler' do
is_sampled, _tags = sampler.sample(sample_args(operation_name: 'foo'))
expect(is_sampled).to eq(true)
# false because limit is full
is_sampled, _tags = sampler.sample(sample_args(operation_name: 'foo'))
expect(is_sampled).to eq(false)
# true because different operation
is_sampled, _tags = sampler.sample(sample_args(operation_name: 'bar'))
expect(is_sampled).to eq(true)
end
it 'returns tags with lower bound param' do
_is_sampled, tags = sampler.sample(sample_args(operation_name: 'foo'))
expect(tags).to eq(
'sampler.type' => 'lowerbound',
'sampler.param' => 0
)
end
end
context 'when operation rate is set to 1' do
let(:strategies) do
{
default_sampling_probability: 0,
default_lower_bound_traces_per_second: 1,
per_operation_strategies: [
{ operation: 'foo', probabilistic_sampling: { sampling_rate: 1.0 } }
]
}
end
it 'uses operation probabilistic sampler' do
is_sampled, _tags = sampler.sample(sample_args(operation_name: 'foo'))
expect(is_sampled).to eq(true)
# true because rate is set to 1
is_sampled, _tags = sampler.sample(sample_args(operation_name: 'foo'))
expect(is_sampled).to eq(true)
is_sampled, _tags = sampler.sample(sample_args(operation_name: 'bar'))
expect(is_sampled).to eq(true)
# false because different operation and lower boundary is full
is_sampled, _tags = sampler.sample(sample_args(operation_name: 'bar'))
expect(is_sampled).to eq(false)
end
it 'returns tags with lower bound param' do
_is_sampled, tags = sampler.sample(sample_args(operation_name: 'foo'))
expect(tags).to eq(
'sampler.type' => 'probabilistic',
'sampler.param' => 1.0
)
end
end
end
context 'when operation strategy is undefined' do
context 'when default rate is set to 0' do
let(:strategies) do
{
default_sampling_probability: 0,
default_lower_bound_traces_per_second: 1
}
end
it 'uses lower bound sampler' do
is_sampled, _tags = sampler.sample(sample_args(operation_name: 'foo'))
expect(is_sampled).to eq(true)
# false because limit is full
is_sampled, _tags = sampler.sample(sample_args(operation_name: 'foo'))
expect(is_sampled).to eq(false)
# true because different operation
is_sampled, _tags = sampler.sample(sample_args(operation_name: 'bar'))
expect(is_sampled).to eq(true)
end
it 'returns tags with lower bound param' do
_is_sampled, tags = sampler.sample(sample_args(operation_name: 'foo'))
expect(tags).to eq(
'sampler.type' => 'lowerbound',
'sampler.param' => 0
)
end
end
context 'when default rate is set to 1' do
let(:strategies) do
{
default_sampling_probability: 1,
default_lower_bound_traces_per_second: 1
}
end
it 'uses probabilistic sampling which returns always true' do
is_sampled, _tags = sampler.sample(sample_args(operation_name: 'foo'))
expect(is_sampled).to eq(true)
is_sampled, _tags = sampler.sample(sample_args(operation_name: 'foo'))
expect(is_sampled).to eq(true)
end
it 'returns tags with lower bound param' do
_is_sampled, tags = sampler.sample(sample_args(operation_name: 'foo'))
expect(tags).to eq(
'sampler.type' => 'probabilistic',
'sampler.param' => 1
)
end
end
end
def sample_args(opts = {})
{
trace_id: Jaeger::TraceId.generate,
operation_name: 'operation-name'
}.merge(opts)
end
end
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