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Display version and compression information about a parquet file

Project description

iparq

Python package

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alt text After reading this blog, I began to wonder which Parquet version and compression methods the everyday tools we rely on actually use, only to find that there’s no straightforward way to determine this. That curiosity and the difficulty of quickly discovering such details motivated me to create iparq (Information Parquet). My goal with iparq is to help users easily identify the specifics of the Parquet files generated by different engines, making it clear which features—like newer encodings or certain compression algorithms—the creator of the parquet is using.

Installation

Using pip

  1. Install the package using pip:

    pip install iparq
    
  2. Verify the installation by running:

    iparq --help
    

Using uv

  1. Make sure to have Astral’s UV installed by following the steps here:

    https://docs.astral.sh/uv/getting-started/installation/

  2. Execute the following command:

    uv pip install iparq
    
  3. Verify the installation by running:

    iparq --help
    

Using Homebrew in a MAC

  1. Run the following:

    brew tap MiguelElGallo/tap https://github.com/MiguelElGallo//homebrew-iparq.git
    brew install MiguelElGallo/tap/iparq
    iparq —help
    

Usage

Run

iparq <filename>

Replace <filename> with the path to your .parquet file. The utility will read the metadata of the file and print the compression codecs used in the parquet file.

Example output

ParquetMetaModel(
    created_by='parquet-cpp-arrow version 14.0.2',
    num_columns=3,
    num_rows=3,
    num_row_groups=1,
    format_version='2.6',
    serialized_size=2223
)
Compression codecs: {'SNAPPY'}

Project details


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The following attestation bundles were made for iparq-0.1.4.tar.gz:

Publisher: python-publish.yml on MiguelElGallo/iparq

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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  • Download URL: iparq-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 4.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

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SHA256 2e1bc6a20383069fb8a452a20bcec6f89763a61d283d30ca2910b8defd7c61b3
MD5 6d87198fc4c1e6f893b08a971d69e350
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The following attestation bundles were made for iparq-0.1.4-py3-none-any.whl:

Publisher: python-publish.yml on MiguelElGallo/iparq

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

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