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Access HubDB data with Python scripts and standard SQL on any machine where Python and Java can be installed. You can use the CData JDBC Driver for HubDB and the JayDeBeApi module to work with remote HubDB data in Python. By using the CData Driver, you are leveraging a driver written for industry-proven standards to access your data in the popular Python language. This article shows how to use the driver to execute SQL queries to HubDB and visualize HubDB data with standard Python.
JayDeBeApi is a Python library that serves as a JDBC (Java Database Connectivity) bridge, allowing Python programs to interact with Java databases, including CData JDBC Drivers. Use the pip install command to install the module:
pip install JayDeBeApi
Once you have JayDeBeApi installed, you are ready to work with HubDB data in Python using SQL.
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.
For assistance in constructing the JDBC URL, use the connection string designer built into the HubDB JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.hubdb.jar
Fill in the connection properties and copy the connection string to the clipboard.
👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)Below is a sample variable assignment, including a typical JDBC connection string:
jdbc_url = "jdbc:hubdb:AuthScheme=OAuth;OAuthClientID=MyOAuthClientID;OAuthClientSecret=MyOAuthClientSecret;CallbackURL=http://localhost:33333;InitiateOAuth=GETANDREFRESH;"
With the JDBC URL configured, you only need the absolute path to the JDBC driver JAR file, which is in the "lib" folder in the installation directory ("C:\Program Files\CData[product_name] 20XX\lib\cdata.jdbc.hubdb.jar" on Windows).
NOTE: If you haven't already, set the JAVA_HOME environment variable to the Java installation directory.
Use code similar to the follow to read and print data from HubDB:
import jaydebeapi
#The JDBC connection string
jdbc_url = "jdbc:hubdb:AuthScheme=OAuth;OAuthClientID=MyOAuthClientID;OAuthClientSecret=MyOAuthClientSecret;CallbackURL=http://localhost:33333;InitiateOAuth=GETANDREFRESH;"
username = "****"
password = "****"
#The absolute Path to the JDBC driver JAR file, typically:
jdbc_driver_jar = "C:\Program Files\CData[product_name] 20XX\lib\cdata.jdbc.hubdb.jar"
conn = jaydebeapi.connect(
"cdata.jdbc.hubdb.HubDBDriver",
jdbc_url,
[username, password],
jdbc_driver_jar,
)
cursor = conn.cursor()
cursor.execute("SELECT * FROM NorthwindProducts;")
results = cursor.fetchall()
for row in results:
print(row)
cursor.close()
conn.close()
Download a free, 30-day trial of the CData JDBC Driver for HubDB and start working with your live HubDB data in Python. Reach out to our Support Team if you have any questions.
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