Validate JD Edwards Data with QuerySurge

Jerod Johnson
Jerod Johnson
Director, Technology Evangelism
Access and validate JD Edwards data in QuerySurge using the CData JDBC Driver.

QuerySurge is a smart data testing solution that automates data validation and testing. When paired with the CData JDBC Driver for JD Edwards, QuerySurge can work with live JD Edwards data. This article explains how to connect to JD Edwards data from QuerySurge.

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.

Connecting to JD Edwards Data in QuerySurge

To connect to live JD Edwards data from QuerySurge, you need to deploy the JDBC Driver JAR file to your QuerySurge Agent(s) and add a new connection from the QuerySurge Admin view.

Deploy the JDBC Driver

  1. Download the CData JDBC Driver for JD Edwards installer, unzip the package, and run the JAR file to install the driver.
  2. Once the driver is installed, stop the Agent Service.
  3. Copy the JAR File (and license file if it exists) from the installation location (typically C:\Program Files\CData\CData JDBC Driver for JD Edwards\lib\) to your Agent(s) (QuerySurge_install_dir\agent\jdbc).
  4. Restart the Agent Service.

For more information on deploying JDBC drivers for QuerySurge, refer to the QuerySurge Knowledge Base.

Configure a New Connection to JD Edwards

  1. Log into QuerySurge and navigate to the Admin view.
  2. Click Configuration -> Connections in the Administration Tree.
  3. Click Add to create a new connection.
  4. In the QuerySurge Connection Wizard, click Next. Creating a new connection
  5. Name the connection (e.g. CData JDBC Connection to JD Edwards).
  6. Set the Data Source to "All Other JDBC Connections (Connection Extensibility)" and click Next. Naming the connection and choosing a Data Source
  7. Set the Driver Class to cdata.jdbc.jdedwards.JDEdwardsDriver and click Next. Setting the Driver Class
  8. Set the Connection URL using the necessary connection properties to authenticate with JD Edwards. Your Connection URL will look something like the following:

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

    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.

    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.

    Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
  9. Set the Test Query to enable the Test Connection button for the Connection (e.g. SELECT * FROM AccountsPayable.AccountLedger LIMIT 1) and click Next. Setting the Connection URL and Test Query (NetSuite is shown)
  10. Click Test Connection to ensure the connection is configured properly and click Save to add the connection.

Once the connection is added, you can write SQL queries against your JD Edwards data in QuerySurge.

Compare JD Edwards Data Queries with a QueryPair

With the connection configured, you can follow the steps below to compare querying JD Edwards data with a QueryPair.

  1. Select "Design Library" from the Design Menu
  2. Click QueryPairs under QuerySurge Design
  3. Click "Create New QueryPair"
  4. Name the QueryPair and click Save
  5. In either the Source or Target panes, select the connection created above (select the same connection to query JD Edwards twice or another connection to perform a comparison)
  6. Write queries in the Editor for each pane, e.g. SELECT * FROM AccountsPayable.AccountLedger Setting the Connection URL and Test Query (NetSuite is shown)
  7. Click the "Design-Time Run" tab to execute the queries
  8. When the query execution is finished, click "View Query Results" to see the JD Edwards data returned by the query Setting the Connection URL and Test Query (NetSuite is shown)

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

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