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Probabilistic Sampling Processor

Supported pipeline types: traces

The probabilistic sampler supports two types of sampling:

  1. sampling.priority semantic convention as defined by OpenTracing
  2. Trace ID hashing

The sampling.priority semantic convention takes priority over trace ID hashing. As the name implies, trace ID hashing samples based on hash values determined by trace IDs. In order for trace ID hashing to work, all collectors for a given tier (e.g. behind the same load balancer) must have the same hash_seed. It is also possible to leverage a different hash_seed at different collector tiers to support additional sampling requirements. Please refer to config.go for the config spec.

The following configuration options can be modified:

  • hash_seed (no default): An integer used to compute the hash algorithm. Note that all collectors for a given tier (e.g. behind the same load balancer) should have the same hash_seed.
  • sampling_percentage (default = 0): Percentage at which traces are sampled; >= 100 samples all traces

Examples:

processors:
  probabilistic_sampler:
    hash_seed: 22
    sampling_percentage: 15.3

Refer to config.yaml for detailed examples on using the processor.