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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 HubDB 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 HubDB as well as PyCharm.
Follow the steps below to add the pyodbc module to your project.
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.
There are two authentication methods available for connecting to HubDB data source: OAuth Authentication with a public HubSpot application and authentication with a Private application token.
AuthScheme must be set to "OAuth" in all OAuth flows. Be sure to review the Help documentation for the required connection properties for you specific authentication needs (desktop applications, web applications, and headless machines).
Follow the steps below to register an application and obtain the OAuth client credentials:
Under Scopes, select any scopes you need for your application's intended functionality.
A minimum of the following scopes is required to access tables:
To connect using a HubSpot private application token, set the AuthScheme property to "PrivateApp."
You can generate a private application token by following the steps below:
To connect, set PrivateAppToken to the private application token you retrieved.
Below is the syntax for a DSN:
[CData HubDB Source] Driver = CData ODBC Driver for HubDB Description = My Description AuthScheme = OAuth OAuthClientID = MyOAuthClientID OAuthClientSecret = MyOAuthClientSecret CallbackURL = http://localhost:33333 InitiateOAuth = GETANDREFRESH
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 HubDB};AuthScheme = OAuth;OAuthClientID = MyOAuthClientID;OAuthClientSecret = MyOAuthClientSecret;CallbackURL = http://localhost:33333;InitiateOAuth = GETANDREFRESH;')
cursor = cnxn.cursor()
cursor.execute("SELECT PartitionKey, Name FROM NorthwindProducts WHERE Id = '1'")
rows = cursor.fetchall()
for row in rows:
print(row.PartitionKey, row.Name)
After connecting to HubDB in PyCharm using the CData ODBC Driver, you will be able to build Python apps with access to HubDB 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].
Download a free trial of the HubDB ODBC Driver to get started:
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👁 HubDB IconThe HubDB ODBC Driver is a powerful tool that allows you to connect with live data from HubDB, directly from any applications that support ODBC connectivity.
Access HubDB data like you would a database - read, write, and update HubDB 0, etc. through a standard ODBC Driver interface.