ports - FreeBSD ports tree

	Commit message (Collapse)	Author	Age	Files	Lines
*	databases/py-datafusion: Update to 51.0.0	Po-Chuan Hsieh	2026-01-31	3	-660/+660
\| \| \| \| \| \| \|	- Use USE_GITHUB temporarily when the python and rust crate has same version It helps to avoid directory conflicts between datafusion-51.0.0 from PyPI source distribution and Rust crate Changes: https://github.com/apache/datafusion-python/tree/main/dev/changelog
*	lang/rust: Bump revisions after 1.93.0	Mikael Urankar	2026-01-28	1	-1/+1
\| \| \| \|	PR: 292360
*	lang/rust: Bump revisions after 1.92.0	Mikael Urankar	2025-12-16	1	-1/+1
\| \| \| \|	PR: 291582
*	lang/rust: Bump revisions after 1.91.1	Mikael Urankar	2025-11-11	1	-0/+1
\| \| \| \|	PR: 290816
*	databases/py-datafusion: Update to 50.1.0	Po-Chuan Hsieh	2025-10-27	3	-169/+178
\| \| \| \|	Changes: https://github.com/apache/datafusion-python/tree/main/dev/changelog
*	databases/py-datafusion: Update to 50.0.0	Po-Chuan Hsieh	2025-10-13	3	-392/+382
\| \| \| \|	Changes: https://github.com/apache/datafusion-python/tree/main/dev/changelog
*	databases/py-datafusion: Mark BROKEN on armv7 and i386	Po-Chuan Hsieh	2025-10-06	1	-0/+3
\| \| \| \| \|	Reference: https://pkg-status.freebsd.org/ampere2/data/main-armv7-default/p6fecc51c6cfb_s1344979687/logs/py311-datafusion-48.0.0.log https://pkg-status.freebsd.org/beefy21/data/142i386-default/c978487f3e0d/logs/py311-datafusion-49.0.0.log
*	lang/rust: Bump revisions after 1.90.0	Mikael Urankar	2025-10-03	1	-0/+1
\| \| \| \|	PR: 289709
*	databases/py-datafusion: Update to 49.0.0	Po-Chuan Hsieh	2025-09-07	3	-302/+304
\| \| \| \|	Changes: https://github.com/apache/datafusion-python/tree/main/dev/changelog
*	lang/rust: Bump revisions after 1.89.0	Mikael Urankar	2025-09-01	1	-0/+1
\| \| \| \|	PR: 288923
*	databases/py-datafusion: Add py-datafusion 48.0.0	Po-Chuan Hsieh	2025-07-23	4	-0/+1349
	This is a Python library that binds to Apache Arrow in-memory query engine DataFusion. DataFusion's Python bindings can be used as a foundation for building new data systems in Python. Here are some examples: - Dask SQL uses DataFusion's Python bindings for SQL parsing, query planning, and logical plan optimizations, and then transpiles the logical plan to Dask operations for execution. - DataFusion Ballista is a distributed SQL query engine that extends DataFusion's Python bindings for distributed use cases. - DataFusion Ray is another distributed query engine that uses DataFusion's Python bindings.