Use JayDeBeApi to access JD Edwards Data in Python

Access JD Edwards 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 JD Edwards and the JayDeBeApi module to work with remote JD Edwards 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 JD Edwards and visualize JD Edwards 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 JD Edwards data in Python using SQL.

The driver connects to JD Edwards through your Application Interface Services (AIS) Server. Set the following connection properties:

• URL: The base HTTPS URL of your AIS Server (e.g., https://jde-ais.example.com:8300).
• User: Your JD Edwards username.
• Password: Your JD Edwards password.
• Environment (optional): The JD Edwards environment to use (e.g., PD920 for production or DV920 for development). If not specified, the AIS Server's default environment is used.
• Role (optional): The JD Edwards role for the session. If not specified, the AIS Server's default role is used.
• DeviceName (optional): An identifier for the connecting device or application, used for auditing and logging on the AIS Server.
• Jasserver (optional): The specific Java Application Server (JAS) instance to route requests through, useful in clustered environments.

Choosing Which Data Is Exposed

JD Edwards organizes tables and business views by System Code, and the driver exposes each System Code as its own schema. Use these properties to control which schemas are available:

• DataModel: One or more ERP modules (comma-separated) whose System Codes are exposed as schemas, or All to expose every System Code in the connected instance. Defaults to FinancialManagement.
• SystemCodes: A comma-separated list of additional System Codes to expose alongside those from DataModel (e.g., 42,43).

When you connect, the driver sends your credentials to the AIS Server to obtain a session token and caches it. The driver requests a new token automatically before the session expires.

Built-in Connection String Designer

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

java -jar cdata.jdbc.jdedwards.jar

Fill in the connection properties and copy the connection string to the clipboard.

Below is a sample variable assignment, including a typical JDBC connection string:

jdbc_url = "jdbc:jdedwards:URL=https://your-jde-environment-app.example.com;User=admin;Password=myPassword;"

Access JD Edwards 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 JDBC Driver for JD Edwards 20XX\lib\cdata.jdbc.jdedwards.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 JD Edwards:

import jaydebeapi

#The JDBC connection string
jdbc_url = "jdbc:jdedwards:URL=https://your-jde-environment-app.example.com;User=admin;Password=myPassword;"

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

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

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

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


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 JDBC Driver for JD Edwards and start working with your live JD Edwards data in Python. Reach out to our Support Team if you have any questions.