Feather — Null-heavy Columns
Feather/Arrow IPC twin of the null-heavy table — grouped with the Parquet nulls fixture.
| id | name | score | note |
|---|---|---|---|
| 1 | Alpha | 90 | null |
| 2 | null | null | missing name |
| 3 | Gamma | 88.5 | null |
Specifications
- Format
- Apache Feather
- Edge
- null cells
- Rows
- 3
What is a .feather file?
Feather (.feather) is a fast on-disk representation of Apache Arrow tables designed for zero-copy, language-agnostic data exchange between Python (pandas/pyarrow) and R. It preserves column types and structure exactly.
How to use this file
Use an example .feather file to test Arrow/Feather readers, round-trip type fidelity, and Feather-to-Parquet/CSV conversion.
How to use this file for testing
“Feather — Null-heavy Columns” is a deterministic Novus Examples fixture for Data import, Conversion testing. Realistic faker-generated datasets with documented schemas for testing import and ETL flows.
Documented properties for this file: 3 rows · Apache Feather. 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.
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.