JSON Schema (User)
A draft-07 JSON Schema describing a user object — for testing schema validators and schema-aware tooling.
{
"$schema": "http://json-schema.org/draft-07/schema#",
"title": "User",
"type": "object",
"required": ["id", "name", "email"],
"properties": {
"id": { "type": "integer", "minimum": 1 },
"name": { "type": "string", "minLength": 1 },
"email": { "type": "string", "format": "email" },
"active": { "type": "boolean", "default": true }
},
"additionalProperties": false
}
Specifications
- Format
- JSON Schema draft-07
- Properties
- 4
- Required
- 3
- Additional Properties
- false
- Encoding
- UTF-8
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
“JSON Schema (User)” is a deterministic Novus Examples fixture for Schema validation, JSON parsing. JSON Schema documents describing a data shape — for testing validators and schema-aware tooling.
Documented properties for this file: UTF-8 · JSON Schema draft-07. 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("user-schema.json") as f:
data = json.load(f)
print(type(data), len(data))Related files
- jsonJSON Schema Edge — Additional Properties FalseMinimal JSON Schema SAMPLE focusing on additional properties false constraints.
- jsonJSON Schema Edge — Array Unique ItemsMinimal JSON Schema SAMPLE focusing on array unique items constraints.
- jsonJSON Schema Edge — Dependent RequiredMinimal JSON Schema SAMPLE focusing on dependent required constraints.
- jsonJSON Schema Edge — Enum CurrencyMinimal JSON Schema SAMPLE focusing on enum currency constraints.
- jsonJSON Schema Edge — Format Uri EmailMinimal JSON Schema SAMPLE focusing on format uri email constraints.
- jsonJSON Schema Edge — Nullable OptionalMinimal JSON Schema SAMPLE focusing on nullable optional constraints.
Generated by generation/data_formats.py. Free for any use, no attribution required — license.