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WClickHouse Adds Zero-Copy Arrow Integration for Faster Python Analytics

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An open-source Python library called WClickHouse has introduced Apache Arrow-based zero-copy columnar data transfer to ClickHouse databases. The library's insert_arrow() and query_arrow() methods allow developers to stream millions of rows directly without Python row iteration or JSON serialization overhead. This approach addresses common bottlenecks in data engineering pipelines, including high RAM usage, garbage collection pauses, and slow object conversion. The project supports Python versions 3.9 through 3.14 and is built with Apache Arrow and Pydantic v2. It is available on both GitHub and PyPI and claims over 95% test coverage verified against live ClickHouse instances.

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