Stratified sampling

Learn how to implement stratified sampling for OpenTelemetry traces in .NET

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This guide demonstrates one possible way to achieve stratified sampling in OpenTelemetry .NET.

What is stratified sampling?

Stratified sampling is a way to divide a population into mutually exclusive sub-populations or “strata”. For example, the strata for a population of “queries” could be “user-initiated queries” and “programmatic queries”. Each stratum is then sampled using a probabilistic sampling method. This ensures that all sub-populations are represented.

Implementation approach

The SDK achieves this by using a custom Sampler that internally holds two samplers. Based on the stratum, the appropriate sampler is invoked.

One prerequisite for this is that the tag (for example, queryType) used for the stratified sampling decision must be provided as part of activity creation.

The SDK uses disproportionate stratified sampling, also known as “unequal probability sampling”. For example, the sample size of each sub-population is not proportionate to their occurrence in the overall population. In this example, we want to ensure that all user initiated queries are represented, so we use a 100% sampling rate for it, while the sampling rate chosen for programmatic queries is much lower.

Example code

The key component is a custom StratifiedSampler class:

public class StratifiedSampler : Sampler { private readonly string _stratifyByTagName; private readonly Dictionary<string, Sampler> _samplersByStratum; private readonly Sampler _defaultSampler; public StratifiedSampler( string stratifyByTagName, Dictionary<string, Sampler> samplersByStratum, Sampler defaultSampler) : base() { _stratifyByTagName = stratifyByTagName; _samplersByStratum = samplersByStratum; _defaultSampler = defaultSampler; } public override SamplingResult ShouldSample( in SamplingParameters samplingParameters) { ReadOnlySpan<KeyValuePair<string, object>> attributes = samplingParameters.Tags; for (int i = 0; i < attributes.Length; i++) { if (attributes[i].Key.Equals(_stratifyByTagName, StringComparison.OrdinalIgnoreCase)) { string stratum = attributes[i].Value.ToString().ToLowerInvariant(); if (_samplersByStratum.TryGetValue(stratum, out Sampler sampler)) { Console.WriteLine($"StratifiedSampler handling {stratum} query"); return sampler.ShouldSample(samplingParameters); } break; } } return _defaultSampler.ShouldSample(samplingParameters); } public override string Description => $"StratifiedSampler: {_stratifyByTagName}"; }

Example output

When you run an application using this sampler, you should see output similar to the following:

StratifiedSampler handling userinitiated query Activity.TraceId: 1a122d63e5f8d32cb8ebd3e402eb5389 Activity.SpanId: 83bdc6bbebea1df8 Activity.TraceFlags: Recorded Activity.ParentSpanId: 1ddd00d845ad645e Activity.ActivitySourceName: StratifiedSampling.POC Activity.DisplayName: Main Activity.Kind: Internal Activity.StartTime: 2023-02-09T05:19:30.8156879Z Activity.Duration: 00:00:00.0008656 Activity.Tags: queryType: userInitiated foo: child Resource associated with Activity: service.name: unknown_service:Examples.StratifiedSamplingByQueryType Activity.TraceId: 1a122d63e5f8d32cb8ebd3e402eb5389 Activity.SpanId: 1ddd00d845ad645e Activity.TraceFlags: Recorded Activity.ActivitySourceName: StratifiedSampling.POC Activity.DisplayName: Main Activity.Kind: Internal Activity.StartTime: 2023-02-09T05:19:30.8115186Z Activity.Duration: 00:00:00.0424036 Activity.Tags: queryType: userInitiated foo: bar Resource associated with Activity: service.name: unknown_service:Examples.StratifiedSamplingByQueryType

This shows that the two sub-populations (strata) are being sampled independently, with different sampling rates applied to each stratum.

Complete example

For the complete example including a working application, see the OpenTelemetry .NET repository.


সর্বশেষ পরিবর্তিত August 12, 2025: Add dotnet docs from /docs folder of opentelemetry-dotnet (#7474) (bb927496)