Building Python Binding for the Delta Lake Library in Rust
summary
Rust native Delta Lake library delta-rs implemented zero-copy Arrow exchange, Tokio async, and Object Store support, then published a Python extension built with pyo3 and maturin as many-platform wheels. Outcome: PyPI downloads jump and integration with pandas/Polars became straightforward. Benchmarked claim: reading a billion-row dataset goes from ~3 minutes in pure pandas CSV to ~2 seconds using Delta + Arrow optimizations. Steps covered: scaffold cargo project, expose Rust structs as Python classes, build wheels and CI for OS matrix.
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chapters (10)
- 0:00Introduction
- 3:54Why Rust for bindings
- 7:01Rust vs C/C++
- 9:51Delta RS architecture
- 12:45Python bindings with Maturin
- 17:20Project workflow
- 19:50Python vs Rust performance
- 21:18Memory management
- 23:24Community insights
- 24:27Q&A
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