Skip to main content

Display version and compression information about a parquet file

Project description

iparq

Python package

Dependabot Updates

Upload Python Package

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=19,
    num_rows=2964624,
    num_row_groups=3,
    format_version='2.6',
    serialized_size=6357
)
Column Compression Info:
Row Group 0:
  Column 'VendorID' (Index 0): ZSTD
  Column 'tpep_pickup_datetime' (Index 1): ZSTD
  Column 'tpep_dropoff_datetime' (Index 2): ZSTD
  Column 'passenger_count' (Index 3): ZSTD
  Column 'trip_distance' (Index 4): ZSTD
  Column 'RatecodeID' (Index 5): ZSTD
  Column 'store_and_fwd_flag' (Index 6): ZSTD
  Column 'PULocationID' (Index 7): ZSTD
  Column 'DOLocationID' (Index 8): ZSTD
  Column 'payment_type' (Index 9): ZSTD
  Column 'fare_amount' (Index 10): ZSTD
  Column 'extra' (Index 11): ZSTD
  Column 'mta_tax' (Index 12): ZSTD
  Column 'tip_amount' (Index 13): ZSTD
  Column 'tolls_amount' (Index 14): ZSTD
  Column 'improvement_surcharge' (Index 15): ZSTD
  Column 'total_amount' (Index 16): ZSTD
  Column 'congestion_surcharge' (Index 17): ZSTD
  Column 'Airport_fee' (Index 18): ZSTD
Row Group 1:
  Column 'VendorID' (Index 0): ZSTD
  Column 'tpep_pickup_datetime' (Index 1): ZSTD
  Column 'tpep_dropoff_datetime' (Index 2): ZSTD
  Column 'passenger_count' (Index 3): ZSTD
  Column 'trip_distance' (Index 4): ZSTD
  Column 'RatecodeID' (Index 5): ZSTD
  Column 'store_and_fwd_flag' (Index 6): ZSTD
  Column 'PULocationID' (Index 7): ZSTD
  Column 'DOLocationID' (Index 8): ZSTD
  Column 'payment_type' (Index 9): ZSTD
  Column 'fare_amount' (Index 10): ZSTD
  Column 'extra' (Index 11): ZSTD
  Column 'mta_tax' (Index 12): ZSTD
  Column 'tip_amount' (Index 13): ZSTD
  Column 'tolls_amount' (Index 14): ZSTD
  Column 'improvement_surcharge' (Index 15): ZSTD
  Column 'total_amount' (Index 16): ZSTD
  Column 'congestion_surcharge' (Index 17): ZSTD
  Column 'Airport_fee' (Index 18): ZSTD
Row Group 2:
  Column 'VendorID' (Index 0): ZSTD
  Column 'tpep_pickup_datetime' (Index 1): ZSTD
  Column 'tpep_dropoff_datetime' (Index 2): ZSTD
  Column 'passenger_count' (Index 3): ZSTD
  Column 'trip_distance' (Index 4): ZSTD
  Column 'RatecodeID' (Index 5): ZSTD
  Column 'store_and_fwd_flag' (Index 6): ZSTD
  Column 'PULocationID' (Index 7): ZSTD
  Column 'DOLocationID' (Index 8): ZSTD
  Column 'payment_type' (Index 9): ZSTD
  Column 'fare_amount' (Index 10): ZSTD
  Column 'extra' (Index 11): ZSTD
  Column 'mta_tax' (Index 12): ZSTD
  Column 'tip_amount' (Index 13): ZSTD
  Column 'tolls_amount' (Index 14): ZSTD
  Column 'improvement_surcharge' (Index 15): ZSTD
  Column 'total_amount' (Index 16): ZSTD
  Column 'congestion_surcharge' (Index 17): ZSTD
  Column 'Airport_fee' (Index 18): ZSTD
Compression codecs: {'ZSTD'}

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

iparq-0.1.5.tar.gz (4.0 MB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

iparq-0.1.5-py3-none-any.whl (4.9 kB view details)

Uploaded Python 3

File details

Details for the file iparq-0.1.5.tar.gz.

File metadata

  • Download URL: iparq-0.1.5.tar.gz
  • Upload date:
  • Size: 4.0 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for iparq-0.1.5.tar.gz
Algorithm Hash digest
SHA256 40165405404a4f83309878986f96df32671bdffe4eeaedf86529445bf226fefe
MD5 041574f15ca8cba978dafbebbef67669
BLAKE2b-256 7ccc527180c8b3fcd6bc1d681f05bf68cf1f916b069e6d54de96efefcdc9f9c3

See more details on using hashes here.

Provenance

The following attestation bundles were made for iparq-0.1.5.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.

File details

Details for the file iparq-0.1.5-py3-none-any.whl.

File metadata

  • Download URL: iparq-0.1.5-py3-none-any.whl
  • Upload date:
  • Size: 4.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.12.8

File hashes

Hashes for iparq-0.1.5-py3-none-any.whl
Algorithm Hash digest
SHA256 efc1965bb570088d6d8a14f96099d1df1540ecbb492ff0de29476323b2f5c60f
MD5 52df21f4bda4e4f39e7517b003061ccb
BLAKE2b-256 bb5b222d6854c65219e3a91e3071f3b4835e78839993f6299466bf7b07c9621e

See more details on using hashes here.

Provenance

The following attestation bundles were made for iparq-0.1.5-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.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page