Ready to get started?

Learn more about CData API Server or sign up for a free trial:

Learn More

Consume Sage 300 OData Feeds in SAP Lumira

Use the API Server to create data visualizations on Sage 300 feeds that reflect any changes in SAP Lumira.

You can use the CData API Server and the ADO.NET Provider for Sage 300 (or any of 190+ other ADO.NET Providers) to create data visualizations based on Sage 300 data in SAP Lumira. The API Server enables connectivity to live data: dashboards and reports can be refreshed on demand. This article shows how to create a chart that is always up to date.

Set Up the API Server

Follow the steps below to begin producing secure Sage 300 OData services:

Deploy

The API Server runs on your own server. On Windows, you can deploy using the stand-alone server or IIS. On a Java servlet container, drop in the API Server WAR file. See the help documentation for more information and how-tos.

The API Server is also easy to deploy on Microsoft Azure, Amazon EC2, and Heroku.

Connect to Sage 300

After you deploy the API Server and the ADO.NET Provider for Sage 300, provide authentication values and other connection properties needed to connect to Sage 300 by clicking Settings -> Connection and adding a new connection in the API Server administration console.

Sage 300 requires some initial setup in order to communicate over the Sage 300 Web API.

  • Set up the security groups for the Sage 300 user. Give the Sage 300 user access to the option under Security Groups (per each module required).
  • Edit both web.config files in the /Online/Web and /Online/WebApi folders; change the key AllowWebApiAccessForAdmin to true. Restart the webAPI app-pool for the settings to take.
  • Once the user access is configured, click https://server/Sage300WebApi/ to ensure access to the web API.

Authenticate to Sage 300 using Basic authentication.

Connect Using Basic Authentication

You must provide values for the following properties to successfully authenticate to Sage 300. Note that the provider reuses the session opened by Sage 300 using cookies. This means that your credentials are used only on the first request to open the session. After that, cookies returned from Sage 300 are used for authentication.

  • Url: Set this to the url of the server hosting Sage 300. Construct a URL for the Sage 300 Web API as follows: {protocol}://{host-application-path}/v{version}/{tenant}/ For example, http://localhost/Sage300WebApi/v1.0/-/.
  • User: Set this to the username of your account.
  • Password: Set this to the password of your account.

When you configure the connection, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

You can then choose the Sage 300 entities you want to allow the API Server access to by clicking Settings -> Resources.

Authorize API Server Users

After determining the OData services you want to produce, authorize users by clicking Settings -> Users. The API Server uses authtoken-based authentication and supports the major authentication schemes. Access can also be restricted based on IP address; by default, only connections to the local machine are allowed. You can authenticate as well as encrypt connections with SSL.

Connect to Sage 300 from SAP Lumira

Follow the steps below to retrieve Sage 300 data into SAP Lumira. You can execute an SQL query or use the UI.

  1. In SAP Lumira, click File -> New -> Query with SQL. The Add New Dataset dialog is displayed.
  2. Expand the Generic section and click the Generic OData 2.0 Connector option.
  3. In the Service Root URI box, enter the OData endpoint of the API Server. This URL will resemble the following: https://your-server:8032/api.rsc
  4. In the User Name and Password boxes, enter the username and authtoken of an API user. These credentials will be used in HTTP Basic authentication.
  5. Select entities in the tree or enter an SQL query. This article imports Sage 300 OEInvoices entities.

  6. When you click Connect, SAP Lumira will generate the corresponding OData request and load the results into memory. You can then use any of the data processing tools available in SAP Lumira, such as filters, aggregates, and summary functions.

Create Data Visualizations

After you have imported the data, you can create data visualizations in the Visualize room. Follow the steps below to create a basic chart.

  1. In the Measures and Dimensions pane, drag measures and dimensions onto the x-axis and y-axis fields in the Visualization Tools pane. SAP Lumira automatically detects dimensions and measures from the metadata service of the API Server.

    By default, the SUM function is applied to all measures. Click the gear icon next to a measure to change the default summary.

  2. In the Visualization Tools pane, select the chart type.
  3. In the Chart Canvas pane, apply filters, sort by measures, add rankings, and update the chart with the current Sage 300 data.