Feed Sage 300 Data into FineReport

The CData JDBC Driver for Sage 300 fully implements the JDBC standard and can provide Sage 300 data connectivity to a wide variety of BI, reporting, and ETL tools and custom applications. In this article, we explain how to set Sage 300 data as JDBC data source in FineReport and view Sage 300 data as a table in the Report Designer.

Set Up a JDBC Data Source of Sage 300 Data

Follow the instruction below to set Sage 300 data as a FineReport database connection.

1. Copy the cdata.jdbc.sage300.jar file from the lib folder in the CData JDBC Driver for Sage 300 installation directory to the lib folder of the FineReport installation directory. You will need to copy the cdata.jdbc.sage300.lic file as well.
2. From the Server tab, select Define Data Connection, click to add a new connection, and click JDBC.

Next we will set up the data connection definition in the window.

1. Database: Others
2. JDBC Driver: cdata.jdbc.sage300.Sage300Driver
3. URL: A standard JDBC connection string using semicolon-separated connection properties.

   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.

   Built-in Connection String Designer

   For assistance in constructing the JDBC URL, use the connection string designer built into the Sage 300 JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

   java -jar cdata.jdbc.sage300.jar

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

   When you configure the JDBC URL, 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.

   A typical JDBC URL is below:

   jdbc:sage300:User=SAMPLE;Password=password;URL=http://127.0.0.1/Sage300WebApi/v1/-/;Company=SAMINC;
4. Click Connection pool attributes and set Test before getting connections to No.

Click Test connection to ensure you have configured the connection properly. With the connection to Sage 300 set up, you can use it as FineReport data source.

Select Sage 300 Data in the Report Designer.

1. Click to add a new template data set and select DB query to open the database query window.
2. Choose the JDBC connection that you created from the dropdown list.
3. The Sage 300 entities will appear as tables on the left pane.
4. Write a SELECT statement for the Sage 300 data tables and columns that you want to load.
5. Click preview and data is shown as table.

With these simple steps, Sage 300 can be used as a JDBC data source in FineReport.