Convert v2 ORC Expected JSON
Json semantic reference for the five-row P8 employee conversion table, preserving ids, names, departments, booleans, and scores. Stable P8 artifact p8-convert-orc-json.
[
{
"active": true,
"department": "Engineering",
"email": "ada.lovelace@example.com",
"id": 1001,
"joined": "2021-03-01",
"name": "Ada Lovelace",
"score": 98.5
},
{
"active": true,
"department": "Research",
"email": "alan.turing@example.com",
"id": 1002,
"joined": "2020-06-15",
"name": "Alan Turing",
"score": 95.0
},
{
"active": false,
"department": "Engineering",
"email": "grace.hopper@example.com",
"id": 1003,
"joined": "2019-11-20",
"name": "Grace Hopper",
"score": 91.2
},
{
"active": true,
"department": "Operations",
"email": "katherine.johnson@example.com",
"id": 1004,
"joined": "2022-01-10",
"name": "Katherine Johnson",
"score": 96.8
},
{
"active": false,
"department": "Research",
"email": "edsger.dijkstra@example.com",
"id": 1005,
"joined": "2018-09-05",
"name": "Edsger Dijkstra",
"score": 89.4
}
]
Specifications
- Rows
- 5
- Columns
- 7
- Source Format
- orc
- Delivery Mode
- download-only
- Provider
- converter-v2
- Provenance
- Synthetic deterministic P8 fixture generated by generation/p8_content.py; seed namespace 2026082300
- Fixture Reserve
- convert-v2
Testing contract
Reference control- Scenario
- Read the JSON artifact and project the five contract columns in row order.
- Expected result
- Five rows and all seven columns match ids 1001 through 1005; Ada's email and 2021-03-01 join date survive, Grace is inactive, and scores remain exact.
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
“Convert v2 ORC Expected JSON” is a deterministic Novus Examples fixture for Conversion testing, Data engineering, Serialization testing. The same content exported across many formats and linked as a group, so you can convert one and diff against the expected twin.
Documented properties for this file: 5 rows · 7 columns. 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.
Data fixtures document their exact quirks — delimiters, encodings, null handling, schema, and row counts — in the spec table. Point your parser or importer at the file and assert it handles the documented edge cases; clean and deliberately-messy siblings make before/after diffs straightforward.
Code examples
import json
with open("employees-expected.json") as f:
data = json.load(f)
print(type(data), len(data))Related files
- pbConvert v2 Protobuf Creator RecordValid Protobuf wire record with string, uint32, and string fields for schema-guided decoding. Stable P8 artifact p8-convert-protobuf-source.

- jsonConvert v2 Protobuf Expected JSONExpected JSON semantic result for the schema-guided Protobuf decode. Stable P8 artifact p8-convert-protobuf-expected.

- pbConvert v2 Protobuf Missing-Schema Controlled FailureValid wire bytes intentionally supplied without a matching schema so tools must preserve unknown field 15. Stable P8 artifact p8-convert-protobuf-missing-schema.

- protoConvert v2 Protobuf Schema CompanionProto3 schema companion declaring the three fields used by the binary creator record. Stable P8 artifact p8-convert-protobuf-schema.

- avroAvro — Row Binary + SchemaThe same records as Apache Avro — a compact row-based binary format that embeds its own schema, widely used in Kafka pipelines. For testing Avro decoders and schema evolution.

- bsonBSON — Binary JSON (MongoDB)The records as BSON — the binary-JSON encoding MongoDB stores documents in. For testing BSON decoders and JSON↔BSON conversion.

Generated by generation/p8_content.py. Free for any use, no attribution required — license.