CData Python Connector for Google Sheets

Build 24.0.9060

Using the Connector

This section provides a walk-through for writing Google Sheets data access code in Python script.

For more information on the available data source entities and how to query them with SQL, see Using Spreadsheets as Tables. For the SQL syntax, see SQL Compliance.

Connecting from Code

For information on how to deploy the connector and configure the connection to Google Sheets, see Package Installation and Establishing a Connection.

For information on how to connect with the googlesheets.connector module and its related classes, see Connecting.

Executing SQL

The connection's cursor object is used to directly execute SQL queries. For information on how to execute SELECT statements and process the returned result sets, see Querying Data. For information on to modify the data in Google Sheets with INSERT, UPDATE, and DELETE statements, see Modifying Data .

Executing Stored Procedures

You can call stored procedures by using the EXECUTE statement. For further information, see Calling Stored Procedures.

Batch Processing

For information about how to modify several rows of Google Sheets data at once using parameterized INSERT, UPDATE, and DELETE statements, see Batch Processing.

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Build 24.0.9060