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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.
16 lines
883 B
Plaintext
16 lines
883 B
Plaintext
The Databricks SQL Connector for Python allows you to develop Python
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applications that connect to Databricks clusters and SQL warehouses. It is a
|
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Thrift-based client with no dependencies on ODBC or JDBC. It conforms to the
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Python DB API 2.0 specification.
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|
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This connector uses Arrow as the data-exchange format, and supports APIs (e.g.
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fetchmany_arrow) to directly fetch Arrow tables. Arrow tables are wrapped in the
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ArrowQueue class to provide a natural API to get several rows at a time. PyArrow
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is required to enable this and use these APIs, you can install it via pip
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install pyarrow or pip install databricks-sql-connector[pyarrow].
|
|
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The connector includes built-in support for HTTP/HTTPS proxy servers with
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multiple authentication methods including basic authentication and
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Kerberos/Negotiate authentication. See docs/proxy.md and
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examples/proxy_authentication.py for details.
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