ports - FreeBSD ports tree

	Commit message (Collapse)	Author	Age	Files	Lines
*	databases/py-databricks-sql-connector: Update to 4.2.3	Po-Chuan Hsieh	2025-12-30	3	-17/+11
\| \| \| \|	Changes: https://github.com/databricks/databricks-sql-python/releases
*	databases/py-databricks-sql-connector: Update RUN_DEPENDS	Po-Chuan Hsieh	2025-12-17	2	-1/+11
\| \| \| \|	- Bump PORTREVISION for dependency and package change
*	databases/py-databricks-sql-connector: Add py-databricks-sql-connector 4.2.2	Po-Chuan Hsieh	2025-12-09	4	-0/+82
	The Databricks SQL Connector for Python allows you to develop Python applications that connect to Databricks clusters and SQL warehouses. It is a Thrift-based client with no dependencies on ODBC or JDBC. It conforms to the Python DB API 2.0 specification. This connector uses Arrow as the data-exchange format, and supports APIs (e.g. fetchmany_arrow) to directly fetch Arrow tables. Arrow tables are wrapped in the ArrowQueue class to provide a natural API to get several rows at a time. PyArrow is required to enable this and use these APIs, you can install it via pip install pyarrow or pip install databricks-sql-connector[pyarrow]. The connector includes built-in support for HTTP/HTTPS proxy servers with multiple authentication methods including basic authentication and Kerberos/Negotiate authentication. See docs/proxy.md and examples/proxy_authentication.py for details.