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 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.

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

For the latest documentation, see

• Databricks
• Azure Databricks

Install the library with pip install databricks-sql-connector

Example usage:

from databricks import sql

connection = sql.connect(
  server_hostname='<server-hostname>',
  http_path='<http-path>',
  access_token='<personal-access-token>')

cursor = connection.cursor()

cursor.execute('SELECT * FROM RANGE(10)')
result = cursor.fetchall()
for row in result:
  print(row)

cursor.close()
connection.close()

Where:

• <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 a HTTP Bearer access token, e.g. a Databricks Personal Access Token.