compressbench
Benchmark compression algorithms on Parquet datasets.
Why
Compression settings affect performance, storage cost, and latency — but most data engineers inherit defaults without testing.
compressbench lets you benchmark compression ratio, compression speed, and decompression speed across algorithms using your own Parquet files.
Features
- Accepts local Parquet files as input.
- Supports gzip and snappy.
- Outputs:
- Compression ratio.
- Compression time.
- Decompression time.
- CLI built with Typer.
- Unit tests with pytest.
Installation
pip install compressbench
Usage
compressbench input.parquet --algorithms gzip snappy If --algorithms is omitted, runs benchmarks for all available algorithms.
Example Output Algorithm: gzip Compression ratio: 2.91 Compression time: 0.43s Decompression time: 0.12s
Algorithm: snappy Compression ratio: 1.67 Compression time: 0.12s Decompression time: 0.05s
CLI Options
input.parquet Path to the Parquet file to benchmark. --algorithms List of algorithms to test (gzip, snappy). --level Not supported in v0.1.0. Reserved for future versions.
Roadmap
See ROADMAP.md for planned features.
License
MIT
Metadata
Release files for compressbench 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| compressbench-0.1.0.tar.gz | 5.1 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| compressbench-0.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 10.4 kB
Release files / compressbench-0.1.0.tar.gz
| Download URL | compressbench-0.1.0.tar.gz |
|---|---|
| Size | 5.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.3
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Release files / compressbench-0.1.0-py3-none-any.whl
| Download URL | compressbench-0.1.0-py3-none-any.whl |
|---|---|
| Size | 5.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.3
|
Security for compressbench 0.1.0
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