CData Python Connector for Azure Data Lake Storage

Build 22.0.8388

Using the Connector

This section provides a walk-through for writing Azure Data Lake Storage data access code in Python script.

See Data Model for more information on the available data source entities and how to query them with SQL. See SQL Compliance for the SQL syntax.

Connecting from Code

See Package Installation and Establishing a Connection for the prerequisite information you need to deploy the connector and configure the connection to Azure Data Lake Storage.

To connect with the adls.connector module and its related classes, see Connecting.

Executing SQL

The connection's cursor object is used to directly execute SQL queries. See Querying Data to execute SELECT statements and process the returned result sets.

Executing Stored Procedures

You can call stored procedures by using the EXECUTE statement. See Calling Stored Procedures for more information.

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Build 22.0.8388