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Enable the Sage 300 JDBC Driver in KNIME

Use standard data access components in KNIME to create charts and reports with Sage 300 data.

One of the strengths of the CData JDBC Driver for Sage 300 is its cross-platform support, enabling integration with major BI tools. Follow the procedure below to access Sage 300 data in KNIME and to create a chart from Sage 300 data using the report designer.

Define a New JDBC Connection to Sage 300 Data

  1. Install the Report Designer extension: Click File -> Install KNIME Extensions, and filter on "Report".
  2. In a new workflow, click File -> Preferences and expand the KNIME -> Databases node to add cdata.jdbc.sage300.jar. The driver JAR is located in the lib subfolder of the installation directory.
  3. In the Node Repository view, expand the Database -> Read/Write node and drag a Database Reader onto the workflow editor.
  4. Double-click the Database Reader and set the following properties:

    • Database Driver: In the menu, select the driver name, cdata.jdbc.sage300.Sage300Driver
    • Database URL: Enter the connection properties. The JDBC URL begins 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.

      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;
    • User Name: The username used to authenticate.
    • Password: The password used to authenticate.
    • SQL Statement: Enter an SQL query in the SQL Statement box or double-click a table. This article uses the query below to create a chart: SELECT InvoiceUniquifier, ApprovedLimit FROM OEInvoices WHERE AllowPartialShipments = 'Yes'
  5. Test the connection by clicking Fetch Metadata.

  6. Connect the Database Reader to a Data to Report node to supply the dataset to a range of data visualization controls. Click Execute and then click Edit Report at the top of the workflow to open the report designer perspective.
  7. You can now generate reports based on live data. To create a chart, drag the chart control from the palette to the report designer. In the resulting wizard, you can use the filtering and aggregation controls available in KNIME.

Troubleshooting

The following list shows how to resolve common errors:

  • Encountered duplicate row Id "Row1": To resolve this error, add the following to the knime.ini file located in your KNIME installation directory:-Dknime.database.fetchsize=0