Connect to JD Edwards Data in HULFT Integrate

HULFT Integrate is a modern data integration platform that provides a drag-and-drop user interface to create cooperation flows, data conversion, and processing so that complex data connections are easier than ever to execute. When paired with the CData JDBC Driver for JD Edwards, HULFT Integrate can work with live JD Edwards data. This article explains how to connect to JD Edwards and move the data into a CSV file.

With built-in optimized data processing, the CData JDBC driver offers unmatched performance for interacting with live JD Edwards data. When you issue complex SQL queries to JD Edwards, the driver pushes supported SQL operations, like filters and aggregations, directly to JD Edwards and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze JD Edwards data using native data types.

Enable Access to JD Edwards

To enable access to JD Edwards data from HULFT Integrate projects:

1. Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.jdedwards.jar (and cdata.jdbc.jdedwards.lic), to the jdbc_adapter subfolder for the Integrate Server
2. Restart the HULFT Integrate Server and launch HULFT Integrate Studio

Build a Project with Access to JD Edwards Data

Once you copy the JAR files, you can create a project with access to JD Edwards data. Start by opening Integrate Studio and creating a new project.

1. Name the project
2. Ensure the "Create script" checkbox is checked
3. Click Next
4. Name the script (e.g.: JDEdwardstoCSV)

Once you create the project, add components to the script to copy JD Edwards data to a CSV file.

Configure an Execute Select SQL Component

Drag an "Execute Select SQL" component from the Tool Palette (Database -> JDBC) into the Script workspace.

1. In the "Required settings" tab for the Destination, click "Add" to create a new connection for JD Edwards. Set the following properties:
   • Name: JD Edwards Connection Settings
   • Driver class name: cdata.jdbc.jdedwards.JDEdwardsDriver
   • URL: jdbc:jdedwards:URL=https://your-jde-environment-app.example.com;User=admin;Password=myPassword;
     
     

     Built-in Connection String Designer

     For assistance 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.

     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.

     
2. Write your SQL statement. For example:

   SELECT DocumentNumber, Amount FROM AccountsPayable.AccountLedger

3. Click "Extraction test" to ensure the connection and query are configured properly
4. Click "Execute SQL statement and set output schema"
5. Click "Finish"

Configure a Write CSV File Component

Drag a "Write CSV File" component from the Tool Palette (File -> CSV) onto the workspace.

1. Set a file to write the query results to (e.g. AccountsPayable.AccountLedger.csv)
2. Set "Input data" to the "Select SQL" component
3. Add columns for each field selected in the SQL query
4. In the "Write settings" tab, check the checkbox to "Insert column names into first row"
5. Click "Finish"

Map JD Edwards Fields to the CSV Columns

Map each column from the "Select" component to the corresponding column for the "CSV" component.

Finish the Script

Drag the "Start" component onto the "Select" component and the "CSV" component onto the "End" component. Build the script and run the script to move JD Edwards data into a CSV file.

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