Create JD Edwards-Connected Business Apps in AppSheet

Google AppSheet is a no-code development platform for application software, enabling users to design mobile, tablet, and web applications. When combined with CData Connect AI, you gain immediate cloud-to-cloud access to JD Edwards data for business applications. This article outlines the process of connecting to JD Edwards using Connect AI and constructing a basic app from JD Edwards data within AppSheet.

CData Connect AI offers a dedicated cloud-to-cloud interface for JD Edwards, enabling the creation of reports directly from live JD Edwards data within AppSheet, all without the need for data replication to a native database. When you design applications that interact with data, AppSheet formulates SQL queries to retrieve the required information. With its inherent optimized data processing capabilities, CData Connect AI efficiently channels all supported SQL operations, including filters and JOINs, directly to JD Edwards. This leverages server-side processing to swiftly deliver the requested JD Edwards data.

Configure JD Edwards Connectivity for AppSheet

Connectivity to JD Edwards from AppSheet is made possible through CData Connect AI. To work with JD Edwards data from AppSheet, we start by creating and configuring a JD Edwards connection.

1. Log into Connect AI, click Sources, and then click Add Connection

2. Select "JD Edwards" from the Add Connection panel

3. Enter the necessary authentication properties to connect to JD Edwards.

   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.

   
4. Click Save & Test
5. Navigate to the Permissions tab in the Add JD Edwards Connection page and update the User-based permissions.

Add a Personal Access Token

When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.

1. Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
2. On the Settings page, go to the Access Tokens section and click Create PAT.
3. Give the PAT a name and click Create.
4. The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.

With the connection configured and a PAT generated, you are ready to connect to JD Edwards data from AppSheet.

Connect to JD Edwards from AppSheet

The steps below outline connecting to CData Connect AI from AppSheet to create a new JD Edwards data source.

1. Log into AppSheet
2. Click "My account" in the menu
3. Click the Sources tab and add a new data source
4. Select Cloud Database and set the connection information
   • Type: Sql Server
   • Server: tds.cdata.com,14333
   • Database: the JD Edwards connection, for example, JDEdwards1
   • Username: a Connect AI user, for example, [email protected]
   • Password: the PAT for the above Connect AI user
   • SSL: Require SSL
   
5. Click "Test Connection"
6. Click "Authorize Access"

Create an App

Once you create the data source for JD Edwards, you can start building apps on JD Edwards data. Start by clicking "My apps" in the menu.

1. Click to create a new app and select "Start with your own data"
2. Name the app and select an appropriate category, based on your data
3. Select the newly created data source
4. Select the table or view with the data you want

At this point, you can configure the design of your app, selecting which columns from the selected table to display, use as labels, and more. Preview the app in the preview panel and then publish or share it when ready.

To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, try CData Connect AI today!