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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 thePython DB API 2.0 specification.

This connector uses Arrow as the data-exchange format, and supports APIs to directly fetch Arrow tables. Arrow tables are wrapped in theArrowQueue class to provide a natural API to get several rows at a time.

You are welcome to file an issue here for general use cases. You can also contact Databricks Supporthere.

Python 3.7 or above is required.

For the latest documentation, see

• Databricks
• Azure Databricks

Install the library withpip install databricks-sql-connector

Example usage:

fromdatabricksimportsqlconnection=sql.connect(server_hostname='********.databricks.com',http_path='/sql/1.0/endpoints/****************',access_token='dapi********************************')cursor=connection.cursor()cursor.execute('SELECT * FROM RANGE(10)')result=cursor.fetchall()forrowinresult:print(row)cursor.close()connection.close()

In the above example:

• server-hostname is the Databricks instance host name.
• http-path is the HTTP Path either to a Databricks SQL endpoint (e.g. /sql/1.0/endpoints/1234567890abcdef),or to a Databricks Runtime interactive cluster (e.g. /sql/protocolv1/o/1234567890123456/1234-123456-slid123)
• personal-access-token is the Databricks Personal Access Token for the account that will execute commands and queries

SeeCONTRIBUTING.md

Apache License 2.0