feat!: replace polars dependency with arrow; bump to 0.3.0#5
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The upstream ggsql crate (v0.3.0) removed polars in favor of a custom
DataFrame built on Arrow RecordBatch. This updates the Python bindings
to match:
Rust side: IPC serialization now uses arrow::ipc::{StreamWriter,StreamReader}
instead of polars IpcWriter/IpcReader. The py_to_df() helper accepts any
object that pyarrow.table() can convert, so custom readers returning polars
DataFrames still work without changes.
Python side: render_altair() calls df.to_arrow() instead of df.to_polars().
Runtime dependency changed from polars to pyarrow.
Public API changes:
- DuckDBReader.execute_sql() returns pyarrow.Table (was polars.DataFrame)
- DuckDBReader.register() accepts pyarrow.Table (polars still works via
automatic conversion)
- Spec.data()/layer_data()/stat_data() return pyarrow.Table
Update all code examples, API docs, and architecture description to reflect that the data bridge now uses pyarrow instead of polars. register() accepts any type that pyarrow.table() can convert (pyarrow, polars, pandas, etc.).
- Replace all pl.DataFrame/pl.LazyFrame usage in tests with pa.table() - Make polars optional in tests (skip polars-specific tests when not installed) - Custom readers now use duckdb .arrow() instead of .pl() - Fix render_altair() where the LazyFrame collect + DataFrame isinstance checks were accidentally collapsed into a single inverted check
DuckDB 1.4+ uses the Windows Restart Manager API (RmStartSession, etc.) which requires linking against rstrtmgr.lib. Without this, Windows builds fail with LNK2019 unresolved externals.
Addresses PR feedback: instead of a generic "Expected a pyarrow.Table or compatible type" message, include the actual Python type name and the underlying pyarrow error for easier debugging.
cpsievert
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Summary
arrow::ipc::{StreamWriter, StreamReader}and Python side usespyarrow.ipcpolarstopyarrowpy_to_df()accepts anythingpyarrow.table()can convertbuild.rsto linkrstrtmgr.libon Windows (required by DuckDB 1.4+)Public API changes
DuckDBReader.execute_sql()returnspyarrow.Table(waspolars.DataFrame)DuckDBReader.register()acceptspyarrow.Table(polars/pandas also accepted via automatic conversion)Spec.data()/layer_data()/stat_data()returnpyarrow.TableTest plan