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OTLP Trace — Head and Tail Sampling Attributes (json)

A trace annotated with the sampling decision that let it through — sampler type and ratio on every span, plus a sampling.priority override on the root. The fixture for testing that a tail-sampling processor reads the existing decision instead of re-deciding and splitting the trace.

Preview — first 50 linesjson
{
  "resourceSpans": [
    {
      "resource": {
        "attributes": [
          {
            "key": "service.name",
            "value": {
              "stringValue": "checkout-api"
            }
          },
          {
            "key": "service.namespace",
            "value": {
              "stringValue": "shop"
            }
          },
          {
            "key": "service.version",
            "value": {
              "stringValue": "1.14.2"
            }
          },
          {
            "key": "service.instance.id",
            "value": {
              "stringValue": "checkout-api-7d9f4c-2xk"
            }
          },
          {
            "key": "deployment.environment.name",
            "value": {
              "stringValue": "staging"
            }
          },
          {
            "key": "host.name",
            "value": {
              "stringValue": "node-a1"
            }
          },
          {
            "key": "host.ip",
            "value": {
              "stringValue": "192.0.2.11"
            }
          },
          {
            "key": "cloud.region",
            "value": {
963 lines total — download for the full file.

Specifications

Spans
9
Sampler
parentbased_traceidratio
Ratio
0.05
Sampled Flag
true
Has Sampling Priority
true

Testing contract

Expected to pass
Scenario
Run the payload through a tail-sampling processor configured to keep errors only.
Expected result
The processor reads sampler.param 0.05 and the root's sampling.priority override, and either keeps or drops all 9 spans together rather than splitting the trace.

What is a .json file?

JSON (JavaScript Object Notation) is a lightweight, text-based data-interchange format representing objects, arrays, strings, numbers, booleans, and null. It is language-independent, human-readable, and the dominant format for web APIs and configuration. It requires a single well-formed root value.

How to use this file

Use an example JSON file to test parsers and serializers, schema validation, Unicode and number-precision handling, and API request or response processing.

How to use this file for testing

“OTLP Trace — Head and Tail Sampling Attributes (json)” is a deterministic Novus Examples fixture for Observability, JSON parsing, Config testing. Structured and plain-text telemetry with known timestamps, levels, request identifiers, and error states for testing log ingestion, correlation, dashboards, and alert pipelines.

Documented properties for this file: JSON · 27,028 bytes. Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.

Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.

Telemetry fixtures use fixed trace IDs, span IDs, and timestamps so ingestion is reproducible run to run. Point your collector, parser, or query layer at the file and assert the documented span tree, metric families, or severity mix; service and host names are invented.

Code examples

import json

with open("otlp-trace-sampling-attributes.json") as f:
    data = json.load(f)
print(type(data), len(data))

Generated by generation/observability.py. Free for any use, no attribution required — license.