Project: databricks-sql-connector

Databricks SQL Connector for Python

Project Details

Latest version
3.0.1
Home Page
PyPI Page
https://pypi.org/project/databricks-sql-connector/

Project Popularity

PageRank
0.011478471072367486
Number of downloads
6223154

Databricks SQL Connector for Python

PyPI Downloads

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 and exposes a SQLAlchemy dialect for use with tools like pandas and alembic which use SQLAlchemy to execute DDL. Use pip install databricks-sql-connector[sqlalchemy] to install with SQLAlchemy's dependencies. pip install databricks-sql-connector[alembic] will install alembic's dependencies.

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.

Requirements

Python 3.8 or above is required.

Documentation

For the latest documentation, see

Quickstart

Install the library with pip install databricks-sql-connector

Note: Don't hard-code authentication secrets into your Python. Use environment variables

export DATABRICKS_HOST=********.databricks.com
export DATABRICKS_HTTP_PATH=/sql/1.0/endpoints/****************
export DATABRICKS_TOKEN=dapi********************************

Example usage:

import os
from databricks import sql

host = os.getenv("DATABRICKS_HOST")
http_path = os.getenv("DATABRICKS_HTTP_PATH")
access_token = os.getenv("DATABRICKS_TOKEN")

connection = sql.connect(
  server_hostname=host,
  http_path=http_path,
  access_token=access_token)

cursor = connection.cursor()
cursor.execute('SELECT :param `p`, * FROM RANGE(10)', {"param": "foo"})
result = cursor.fetchall()
for row in result:
  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

Contributing

See CONTRIBUTING.md

License

Apache License 2.0