This section provides a walk-through to writing ODBC data access code to Azure Data Lake Storage in Python, using the pyodbc module.

See Data Model for more information on the available API objects and any API limitations or requirements. See SQL Compliance for the SQL syntax.

Connecting from Python

See Getting Started for the prerequisite information you need to deploy the driver and configure the connection to Azure Data Lake Storage.

Dependencies describes the necessary steps to install pyodbc. Once it is prepared, refer to Connecting to connect to Azure Data Lake Storage.

Executing SQL

Use pyodbc functions to execute SQL on Azure Data Lake Storage:

• See Querying Data to execute SELECT statements and iterate over the results.
• See Parameterized Statements to execute parameterized statements. Parameterized statements provide a means to efficiently execute queries more than once and to mitigate SQL injection attacks.

Executing Stored Procedures

See Executing Stored Procedures to execute stored procedures as SQL statements.