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The TigerGraph ODBC Driver is a powerful tool that allows you to connect with live data from TigerGraph, directly from any applications that support ODBC connectivity.

Access TigerGraph data like you would a relational database through a standard ODBC Driver interface.

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Using the CData ODBC Driver for TigerGraph in PyCharm


Connect to TigerGraph as an ODBC data source in PyCharm using the CData ODBC Driver for TigerGraph.

The CData ODBC Drivers can be used in any environment that supports loading an ODBC Driver. In this tutorial we will explore using the CData ODBC Driver for TigerGraph from within PyCharm. Included are steps for adding the CData ODBC Driver as a data source, as well as basic PyCharm code to query the data source and display results.

To begin, this tutorial will assume that you have already installed the CData ODBC Driver for TigerGraph as well as PyCharm.

Add Pyodbc to the Project

Follow the steps below to add the pyodbc module to your project.

  1. Click File -> Settings to open the project settings window.
  2. Click Project Interpreter from the Project: YourProjectName menu.
  3. To add pyodbc, click the + button and enter pyodbc.
  4. Click Install Package to install pyodbc.

Connect to TigerGraph

You can now connect with an ODBC connection string or a DSN. See the Getting Started section in the CData driver documentation for a guide to creating a DSN on your OS.

To authenticate with your TigerGraph instance, set the User, Password, and URL properties to valid TigerGraph credentials. By default connections are made on port 14240.

Below is the syntax for a DSN:

[CData TigerGraph Source] Driver = CData ODBC Driver for TigerGraph Description = My Description User = MyUserName Password = MyPassword URL = MyURL

Execute SQL to TigerGraph

Instantiate a Cursor and use the execute method of the Cursor class to execute any SQL statement.

import pyodbc cnxn = pyodbc.connect('DRIVER={CData ODBC Driver for TigerGraph};User = MyUserName;Password = MyPassword;URL = MyURL;') cursor = cnxn.cursor() cursor.execute("SELECT id, locationId FROM person WHERE locationId = 'chn'") rows = cursor.fetchall() for row in rows: print(row.id, row.locationId)

After connecting to TigerGraph in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to TigerGraph data as if it were a standard database. If you have any questions, comments, or feedback regarding this tutorial, please contact us at [email protected].