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Check if upstream Apache DataFusion features (functions, DataFrame ops, SessionContext methods, FFI types) are exposed in this Python project. Use when adding missing functions, auditing API coverage, or ensuring parity with upstream.
Use when the user is writing datafusion-python (Apache DataFusion Python bindings) DataFrame or SQL code. Covers imports, data loading, DataFrame operations, expression building, SQL-to-DataFrame mappings, idiomatic patterns, and common pitfalls.
TRIGGER — read before adding, changing, or reviewing any __datafusion_*__ capsule getter, any FFI_* export that asks for a TaskContextProvider or an extension codec, or any code that calls FFI_QueryPlanner::new / FFI_TableProvider::new /…
Audit the user-facing skill at skills/datafusion_python/SKILL.md against the current public Python API. Find new APIs that should be documented, stale mentions of removed/renamed APIs, examples that drifted from current idiomatic style, and places that need a…
Audit and improve datafusion-python functions to accept native Python types (int, float, str, bool) instead of requiring explicit lit() or col() wrapping. Analyzes function signatures, checks upstream Rust implementations for type constraints, and applies the…
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