Use JayDeBeApi to access Carbone Data in Python

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Use standard Python scripting and the development environment of your choice to access live Carbone data.

Access Carbone data with Python scripts and standard SQL on any machine where Python and Java can be installed. You can use the CData API Driver for JDBC and the JayDeBeApi module to work with remote Carbone 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 Carbone and visualize Carbone data with standard Python.

Use the JayDeBeApi module

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

Create the JDBC URL

Once you have JayDeBeApi installed, you are ready to work with Carbone data in Python using SQL.

Start by setting the Profile connection property to the location of the Carbone Profile on disk (e.g. C:\profiles\Carbone.apip). Next, set the ProfileSettings connection property to the connection string for Carbone (see below).

Carbone API Profile Settings

Carbone uses API key authentication via a Bearer token in the Authorization header. To obtain an API key:

  1. Log in to your Carbone account at https://account.carbone.io
  2. Copy the API key shown on the account home page

After obtaining your API key, set the following connection properties:

  • AuthScheme: Set this to APIKey.
  • APIKey: Set this to your Carbone API key (Bearer token).
  • CarboneVersion: (Optional) The major version of the Carbone API to target via the carbone-version request header. Defaults to 5. Accepted values: 5, 4, 3, staging.

Built-in Connection String Designer

For assistance in constructing the JDBC URL, use the connection string designer built into the Carbone JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.


java -jar cdata.jdbc.api.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:api:Profile=C:\profiles\Carbone.apip;AuthScheme=APIKey;APIKey=your_api_key;"

Access Carbone data in Python

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\CData API Driver for JDBC 20XX\lib\cdata.jdbc.api.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 Carbone:


import jaydebeapi

#The JDBC connection string
jdbc_url = "jdbc:api:Profile=C:\profiles\Carbone.apip;AuthScheme=APIKey;APIKey=your_api_key;"

username = "****"
password = "****"

#The absolute Path to the JDBC driver JAR file, typically:
jdbc_driver_jar = "C:\Program Files\CData\CData API Driver for JDBC 20XX\lib\cdata.jdbc.api.jar"

conn = jaydebeapi.connect(
   "cdata.jdbc.api.APIDriver",
   jdbc_url,
   [username, password],
   jdbc_driver_jar,
)

cursor = conn.cursor()
cursor.execute("SELECT * FROM Templates;")


results = cursor.fetchall()
for row in results:
    print(row)

cursor.close()
conn.close()

Free trial & more information

Download a free, 30-day trial of the CData API Driver for JDBC and start working with your live Carbone data in Python. Reach out to our Support Team if you have any questions.

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