Columnar Nulls Schema (JSON)
JSON description of nullable columns in the null-heavy columnar fixtures.
{
"fields": [
{
"name": "id",
"nullable": true
},
{
"name": "name",
"nullable": true
},
{
"name": "score",
"nullable": true
},
{
"name": "note",
"nullable": true
}
],
"source": "nulls-heavy.parquet"
}
Specifications
- Documents
- nulls-heavy.parquet
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
“Columnar Nulls Schema (JSON)” is a deterministic Novus Examples fixture for Data import, Conversion testing, JSON parsing. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.
Documented properties for this file: JSON · 308 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.
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("nulls-schema.json") as f:
data = json.load(f)
print(type(data), len(data))Related files
- featherFeather — Dictionary-encoded ColumnFeather file with dictionary-encoded strings — Arrow IPC edge-case fixture.
- parquetParquet — Decimal as String ColumnAmounts stored as strings in Parquet — common ingestion edge case for ETL parsers.
- parquetParquet — Dictionary-encoded ColumnParquet with dictionary-encoded string column — tests dictionary page decoding.
- parquetParquet — Duplicate Key ColumnParquet with repeated key values — tests join/aggregation edge cases.
- parquetParquet — Empty TableEmpty Parquet file with schema but no rows — edge case for readers.
- parquetParquet — List ColumnParquet with a list-of-string column — tests repeated-field decoding.
Generated by generation/data_wave_f.py. Free for any use, no attribution required — license.