Integrate with Sage 300 Data in JReport Designer

The CData JDBC Driver for Sage 300 data enables access to live data from dashboards and reports as if Sage 300 were a relational database, allowing you to query Sage 300 data using familiar SQL queries. This article shows how to connect to Sage 300 data as a JDBC data source and create reports based on Sage 300 data in JReport Designer.

Connect to Sage 300 Data

1. Edit C:\JReport\Designer\bin\setenv.bat to add the location of the JAR file to the ADDCLASSPATH variable:

   ...
   set ADDCLASSPATH=%JAVAHOME%\lib\tools.jar;C:\Program Files\CData\CData JDBC Driver for Sage 300 2016\lib\cdata.jdbc.sage300.jar;
   ...
   

2. Create a new data source by clicking File New Data Source.
3. In the resulting dialog, create a name for the data source (CData JDBC Driver for Sage 300), select JDBC, and click OK.
4. In the Get JDBC Connection Information dialog you will configure your connection to the JDBC driver:
   • Driver: Be sure that the Driver box is checked and fill in the name of the class for the driver:

     cdata.jdbc.sage300.Sage300Driver

   • URL: Enter the JDBC URL. This starts with jdbc:sage300: and is followed by a semicolon-separated list of 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.

     👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
     

     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.

     Below is a typical JDBC URL:

     jdbc:sage300:User=SAMPLE;Password=password;URL=http://127.0.0.1/Sage300WebApi/v1/-/;Company=SAMINC;

   • User: The username to authenticate with; typically left blank.
   • Password: The password to authenticate with; typically left blank.
   👁 Configuring the connection to the JDBC Driver (Salesforce is shown.)
   

5. In the Add Table dialog, select the tables you wish to include in your report (or in future reports using this data source) and click Add.

   👁 Adding Tables. (Salesforce is shown.)
   

   Click Done once the dialog has completed loading the tables.

6. In the Catalog Browser, you can create the queries that you will use to populate your reports. You can do this now, or after you create your report. In either case, expand () the data source (CData JDBC Driver for Sage 300), right-click on Queries, and select Add Query. 👁 Adding a query for data to be used in the report. (Salesforce is shown.)
   
7. In the Add Table/View/Query dialog, expand () the JDBC URL and Tables and select the table(s) you wish to use in the query and click OK. 👁 Selecting a table for the query. (Salesforce is shown.)
   
8. In the Query Editor dialog, you can select the columns you wish to include or simply click the SQL button and manually input your own query. For example:

   SELECT InvoiceUniquifier, ApprovedLimit FROM OEInvoices WHERE AllowPartialShipments = 'Yes'
   

   👁 Editing the query. (Salesforce is shown.)
   

   With the query built, click OK to close the Query Editor dialog. At this point you are ready to add Sage 300 data to a new or existing report.

   NOTE: Now that the query is built, you can create a Business View based on the query. With a Business View, you can create Web reports or library components based on the query. For more information on this, refer to the JReport tutorials.

Add Sage 300 Data to a Report

You are now ready to create a report with Sage 300 data.

1. Create a new report (File New Page Report) or open the Chart Wizard for an existing report.
2. Select the Query (or create a new one; see above).
👁 Selecting the query to use. (Salesforce is shown.)

3. Assign a Category and Value for the chart from the columns in your Query and click Finish.
👁 Assigning columns to define the chart. (Salesforce is shown.)

4. Click the View tab for your report to see the chart.