Probabilistic
Probabilistic sampler
The probabilistic sampler probabilistically returns True or False for whether a span should be sampled depending on the results of a coin flip.
By default, the probabilistic sampling rate is 1 in 10,000
Code samples
import "go.opencensus.io/trace"
theSampler = trace.ProbabilitySampler(1/1000.0);
Samplers.probabilitySampler(1/1000.0);
from opencensus.trace.samplers import probability
from opencensus.trace import tracer as tracer_module
# Sampling the requests at the rate equals 0.5
sampler = probability.ProbabilitySampler(rate=0.5)
tracer = tracer_module.Tracer(sampler=sampler)
// Samplers are potentially expensive to construct. Use one long-lived
// sampler instead of constructing one for every Span.
static opencensus::trace::ProbabilitySampler sampler(1/1000.0);
const root = new RootSpan(tracer);
const sampler = SamplerBuilder.getSampler(0.01);
const samplerProbability = sampler.shouldSample(root.traceId);
Reference
Resource | URL |
---|---|
Probability sampler in specs | https://github.com/census-instrumentation/opencensus-specs/blob/master/trace/Sampling.md#what-kind-of-samplers-does-opencensus-support |
Go ProbabilitySample | trace.ProbabilitySampler |
Python samplers | trace.samplers |
Java ProbabilitySampler | trace.ProbabilitySampler |
C++ ProbabilitySampler | trace.ProbabilitySampler |
Node.js TracerConfig | trace.TracerConfig |