OTLP Logs — NDJSON Stream, One Record per Line (jsonl)
The same five OTLP log records reframed as one self-contained export per line, with the resource attributes repeated on every line. The trade a line-oriented sink makes: each line stands alone, at the cost of repeating the resource block five times.
{"resourceLogs":[{"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":{"stringValue":"eu-west-1"}},{"key":"k8s.namespace.name","value":{"stringValue":"shop"}},{"key":"k8s.pod.name","value":{"stringValue":"checkout-api-7d9f4c-2xk"}},{"key":"process.pid","value":{"intValue":"4211"}},{"key":"telemetry.sdk.name","value":{"stringValue":"opentelemetry"}},{"key":"telemetry.sdk.language","value":{"stringValue":"java"}},{"key":"telemetry.sdk.version","value":{"stringValue":"1.34.0"}}]},"scopeLogs":[{"scope":{"name":"com.example.shop.checkout","version":"1.14.2"},"logRecords":[{"timeUnixNano":"1773738872850000000","observedTimeUnixNano":"1773738872851200000","severityNumber":9,"severityText":"INFO","body":{"stringValue":"checkout request received"},"attributes":[{"key":"http.request.method","value":{"stringValue":"POST"}},{"key":"http.route","value":{"stringValue":"/api/checkout"}}],"traceId":"4bf92f3577b34da6a3ce929d0e0e4736","spanId":"00f067aa0ba902b7","flags":1}]}]}]}
{"resourceLogs":[{"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":{"stringValue":"eu-west-1"}},{"key":"k8s.namespace.name","value":{"stringValue":"shop"}},{"key":"k8s.pod.name","value":{"stringValue":"checkout-api-7d9f4c-2xk"}},{"key":"process.pid","value":{"intValue":"4211"}},{"key":"telemetry.sdk.name","value":{"stringValue":"opentelemetry"}},{"key":"telemetry.sdk.language","value":{"stringValue":"java"}},{"key":"telemetry.sdk.version","value":{"stringValue":"1.34.0"}}]},"scopeLogs":[{"scope":{"name":"com.example.shop.checkout","version":"1.14.2"},"logRecords":[{"timeUnixNano":"1773738872856200000","observedTimeUnixNano":"1773738872857400000","severityNumber":5,"severityText":"DEBUG","body":{"stringValue":"cart priced"},"attributes":[{"key":"shop.cart.items","value":{"intValue":"3"}},{"key":"shop.order.total_minor","value":{"intValue":"8497"}}],"traceId":"4bf92f3577b34da6a3ce929d0e0e4736","spanId":"2b3c4d5e6f708192","flags":1}]}]}]}
{"resourceLogs":[{"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":{"stringValue":"eu-west-1"}},{"key":"k8s.namespace.name","value":{"stringValue":"shop"}},{"key":"k8s.pod.name","value":{"stringValue":"checkout-api-7d9f4c-2xk"}},{"key":"process.pid","value":{"intValue":"4211"}},{"key":"telemetry.sdk.name","value":{"stringValue":"opentelemetry"}},{"key":"telemetry.sdk.language","value":{"stringValue":"java"}},{"key":"telemetry.sdk.version","value":{"stringValue":"1.34.0"}}]},"scopeLogs":[{"scope":{"name":"com.example.shop.checkout","version":"1.14.2"},"logRecords":[{"timeUnixNano":"1773738872919000000","observedTimeUnixNano":"1773738872920200000","severityNumber":13,"severityText":"WARN","body":{"stringValue":"downstream call slower than budget"},"attributes":[{"key":"budget.ms","value":{"intValue":"50"}},{"key":"observed.ms","value":{"doubleValue":71.2}}],"traceId":"4bf92f3577b34da6a3ce929d0e0e4736","spanId":"8192a3b4c5d6e7f8","flags":1}]}]}]}
{"resourceLogs":[{"resource":{"attributes":[{"key":"service.name","value":{"stringValue":"payments-api"}},{"key":"service.namespace","value":{"stringValue":"shop"}},{"key":"service.version","value":{"stringValue":"3.1.4"}},{"key":"service.instance.id","value":{"stringValue":"payments-api-31ef60-7wz"}},{"key":"deployment.environment.name","value":{"stringValue":"staging"}},{"key":"host.name","value":{"stringValue":"node-b2"}},{"key":"host.ip","value":{"stringValue":"192.0.2.22"}},{"key":"cloud.region","value":{"stringValue":"eu-west-1"}},{"key":"k8s.namespace.name","value":{"stringValue":"shop"}},{"key":"k8s.pod.name","value":{"stringValue":"payments-api-31ef60-7wz"}},{"key":"process.pid","value":{"intValue":"7452"}},{"key":"telemetry.sdk.name","value":{"stringValue":"opentelemetry"}},{"key":"telemetry.sdk.language","value":{"stringValue":"python"}},{"key":"telemetry.sdk.version","value":{"stringValue":"1.34.0"}}]},"scopeLogs":[{"scope":{"name":"example.shop.payments","version":"3.1.4"},"logRecords":[{"timeUnixNano":"1773738874921500000","observedTimeUnixNano":"1773738874922700000","severityNumber":17,"severityText":"ERROR","body":{"stringValue":"Traceback (most recent call last):\n File \"/srv/payments/handlers/authorize.py\", line 118, in authorize\n charge = psp.create_charge(token, amount_minor, currency)\n File \"/srv/payments/psp/client.py\", line 141, in _post\n raise UpstreamTimeout(f\"{path} exceeded {timeout}s\")\nshop.payments.errors.UpstreamTimeout: /v1/charges exceeded 2.0s"},"attributes":[{"key":"exception.type","value":{"stringValue":"shop.payments.errors.UpstreamTimeout"}},{"key":"exception.escaped","value":{"boolValue":true}},{"key":"log.record.original","value":{"stringValue":"multi-line body"}}],"traceId":"4bf92f3577b34da6a3ce929d0e0e4736","spanId":"a3b4c5d6e7f8091a","flags":1}]}]}]}
{"resourceLogs":[{"resource":{"attributes":[{"key":"service.name","value":{"stringValue":"payments-api"}},{"key":"service.namespace","value":{"stringValue":"shop"}},{"key":"service.version","value":{"stringValue":"3.1.4"}},{"key":"service.instance.id","value":{"stringValue":"payments-api-31ef60-7wz"}},{"key":"deployment.environment.name","value":{"stringValue":"staging"}},{"key":"host.name","value":{"stringValue":"node-b2"}},{"key":"host.ip","value":{"stringValue":"192.0.2.22"}},{"key":"cloud.region","value":{"stringValue":"eu-west-1"}},{"key":"k8s.namespace.name","value":{"stringValue":"shop"}},{"key":"k8s.pod.name","value":{"stringValue":"payments-api-31ef60-7wz"}},{"key":"process.pid","value":{"intValue":"7452"}},{"key":"telemetry.sdk.name","value":{"stringValue":"opentelemetry"}},{"key":"telemetry.sdk.language","value":{"stringValue":"python"}},{"key":"telemetry.sdk.version","value":{"stringValue":"1.34.0"}}]},"scopeLogs":[{"scope":{"name":"example.shop.payments","version":"3.1.4"},"logRecords":[{"timeUnixNano":"1773738874990000000","observedTimeUnixNano":"1773738874991200000","severityNumber":21,"severityText":"FATAL","body":{"stringValue":"circuit breaker opened for psp.example.net"},"attributes":[{"key":"breaker.state","value":{"stringValue":"open"}},{"key":"breaker.failures","value":{"intValue":"12"}}]}]}]}]}
Specifications
- Lines
- 5
- Records Per Line
- 1
- Resource Repeated Per Line
- true
- Framing
- one ExportLogsServiceRequest per line
- Same Records As
- otlp-logs-export-document
Testing contract
Expected to pass- Scenario
- Process the stream line by line and compare the result to the batched document.
- Expected result
- Five independently parseable lines yield the same five log records as the batched export, with resource attributes repeated rather than shared.
What is a .jsonl file?
JSONL (JSON Lines) is a text format where each line is a complete, independent JSON value, allowing records to be streamed and appended without parsing the whole file. It is not itself a JSON array and each line must stand alone. It is common in logging, machine learning datasets, and data pipelines.
How to use this file
Use an example JSONL to test line-by-line streaming parsers, append-and-resume ingestion, and batch pipelines that process one record per line.
How to use this file for testing
“OTLP Logs — NDJSON Stream, One Record per Line (jsonl)” is a deterministic Novus Examples fixture for Observability, JSON parsing, Data engineering. 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: JSONL · 7,405 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-logs-stream.jsonl") as f:
rows = [json.loads(line) for line in f]
print(len(rows), rows[0])Related files
- jsonOTLP Trace — Spans Batched in Reverse Completion Order (json)The canonical checkout trace with its spans emitted in the order they finished — children before parents, deepest first. This is what a real batch exporter produces, and a consumer that assumes parents arrive first will drop or orphan most of the trace.

- jsonlOTLP Traces — NDJSON Stream, One Resource per Line (jsonl)Two traces streamed as newline-delimited OTLP requests, one resource per line, so a single trace is split across several lines exactly as a line-oriented collector sink writes it. A fixture for streaming ingestion, back-pressure and partial-trace assembly.

- jsonlEnvoy-Style Proxy Access Log — JSON Lines (jsonl)Forty service-mesh proxy access records with the fields that make mesh debugging possible: response_flags distinguishing an upstream failure from an overflow, upstream_service_time against total duration, upstream host and cluster, and a request ID for correlation.

- jsonlKubernetes Audit Log — Six Events with an RBAC Denial (jsonl)Six Kubernetes audit events at two audit levels, including one 403 whose authorization annotations record the forbid decision and its reason. The shape a cluster-audit alert or compliance report reads, with every user and service account invented.

- jsonlStructured Application Log — 300 JSON Lines (jsonl)Three hundred newline-delimited JSON log records from five services, each with a timestamp, level, logger, message, a nested http object and request and order identifiers. The severity mix is counted in the spec table, so a level filter can be asserted rather than eyeballed.

- jsonlStructured Log — Deeply Nested and Very Wide Context (jsonl)One record nested 24 levels deep, one with 200 sibling keys and one holding a 12 by 12 array of arrays. Field-flattening pipelines turn these into hundreds of dotted keys, and depth limits truncate them silently — this is where both behaviours become visible.

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