ionbus-parquet-cache 1.4.0.0

Versioned Parquet dataset management with snapshots and multi-cache support

ionbus_parquet_cache

Python tools for managing versioned Parquet datasets with date partitioning, snapshot versioning, multi-cache lookup, YAML-driven dataset creation, 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, and optional external provenance sidecars
• CLI modules for dataset creation, 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