OTLP Metrics — Delta Temporality (json)
The same 24 hours of cart updates as six delta points, each with its own start and end timestamp covering a four-hour window. The delta twin of the cumulative fixture: summing these must reproduce the cumulative total exactly, and a gap or overlap in the windows is the failure to catch.
{
"resourceMetrics": [
{
"resource": {
"attributes": [
{
"key": "service.name",
"value": {
"stringValue": "cart-api"
}
},
{
"key": "service.namespace",
"value": {
"stringValue": "shop"
}
},
{
"key": "service.version",
"value": {
"stringValue": "0.9.7"
}
},
{
"key": "service.instance.id",
"value": {
"stringValue": "cart-api-58bd21-9qh"
}
},
{
"key": "deployment.environment.name",
"value": {
"stringValue": "staging"
}
},
{
"key": "host.name",
"value": {
"stringValue": "node-a2"
}
},
{
"key": "host.ip",
"value": {
"stringValue": "192.0.2.12"
}
},
{
"key": "cloud.region",
"value": {Specifications
- Temporality
- delta (1)
- Data Points
- 6
- Interval Hours
- 4
- Sum Of Deltas
- 118422
- Start Time Moves Per Point
- true
Testing contract
Reference control- Scenario
- Sum the delta points and compare against the paired cumulative export.
- Expected result
- The six deltas total 118422, the six windows tile the 24 hours with no gap or overlap, and each point's startTimeUnixNano equals the previous point's timeUnixNano.
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 Metrics — Delta Temporality (json)” is a deterministic Novus Examples fixture for Observability, Time-series data, Conversion 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 · 5,415 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-metrics-delta-temporality.json") as f:
data = json.load(f)
print(type(data), len(data))Related files
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