databases/py-databricks-sql-connector: Update to 4.5.0 Changes: https://github.com/databricks/databricks-sql-python/releases72bcdb5b14
Port details
databases/py-databricks-sql-connector4.5.0
Databricks SQL Connector for Python
- Maintainer
- sunpoet@FreeBSD.org
- Packages
- py312-databricks-sql-connector 4.5.0
- Upstream
- Higher version available: 4.8.0
- CPE
- none, CVEs only via VuXML
- WWW
- https://github.com/databricks/databricks-sql-python
- Links
- cgit · VuXML
Unaddressed (0) · The CVE record lists this version as affected, no VuXML entry names the CVE
None. There is no CVE without a VuXML entry for this version.
VuXML only (0) · listed, port not fixed yet
None.
pkg audit reports nothing for this version.Fixed (0)
No VuXML entries for this package.
Commits (10)
databases/py-databricks-sql-connector: Update to 4.4.0 Changes: https://github.com/databricks/databricks-sql-python/releasesc21d0e9ea9
databases/py-databricks-sql-connector: Update to 4.3.0 Changes: https://github.com/databricks/databricks-sql-python/releases7bd45cb7aa
databases/py-databricks-sql-connector: Update to 4.2.7 Changes: https://github.com/databricks/databricks-sql-python/releasese213577cca
databases/py-databricks-sql-connector: Update to 4.2.6 Changes: https://github.com/databricks/databricks-sql-python/releases889c69c26e
databases/py-databricks-sql-connector: Update to 4.2.5 Changes: https://github.com/databricks/databricks-sql-python/releases96b25b9a37
databases/py-databricks-sql-connector: Update to 4.2.4 Changes: https://github.com/databricks/databricks-sql-python/releasesbfca33703f
databases/py-databricks-sql-connector: Update to 4.2.3 Changes: https://github.com/databricks/databricks-sql-python/releases46c057ce66
databases/py-databricks-sql-connector: Update RUN_DEPENDS - Bump PORTREVISION for dependency and package change8db42197eb
databases/py-databricks-sql-connector: Add py-databricks-sql-connector 4.2.2 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.8ad452903c