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ionbus_parquet_cache

Python tools for managing versioned Parquet datasets with date partitioning, snapshot versioning, multi-cache lookup, YAML-driven dataset creation, NPD snapshot imports, and CLI workflows for update, cleanup, and synchronization.

Installation

pip install ionbus-parquet-cache

Or install from source:

pip install -e .

Includes

  • CacheRegistry for reading from one or more cache locations
  • DatedParquetDataset for date-partitioned, incrementally updated datasets
  • NonDatedParquetDataset for full-refresh reference datasets
  • DataSource and DataCleaner extension points
  • YAML configuration helpers for declarative dataset setup
  • Snapshot lineage, cache history, YAML annotations, notes, column descriptions, and optional external provenance sidecars
  • CLI modules for dataset creation, NPD imports, updating, cleanup, cache sync, and post-sync hooks

Full documentation on GitHub.

Requirements

  • Python >= 3.9
  • See requirements.txt for runtime dependencies

License

MIT License

Metadata

Release files for ionbus-parquet-cache 1.8.0.0

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Source distribution for ionbus-parquet-cache 1.8.0.0
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Table of built distributions (wheels) for ionbus-parquet-cache 1.8.0.0
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ionbus_parquet_cache-1.8.0.0-py3-none-any.whl Python 3 none any Details

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Release files / ionbus_parquet_cache-1.8.0.0.tar.gz

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