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Enable the CData JDBC Driver for IBM Cloud SQL Query in KNIME

Use standard data access components in KNIME to create charts and reports with IBM Cloud SQL Query data.

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

Define a New JDBC Connection to IBM Cloud SQL Query Data

  1. If you have not already done so, 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 -> Database Driver nodes to add cdata.jdbc.ibmcloudsqlquery.jar. The driver JAR is located in the lib subfolder of the installation directory.
  3. In the Node Repository view, expand the Database 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 CData JDBC driver.
    • Database URL: Enter the connection properties. The JDBC URL begins with jdbc:ibmcloudsqlquery: and is followed by a semicolon-separated list of connection properties.

      IBM Cloud SQL uses the OAuth and HMAC authentication standards. See the "Getting Started" chapter of the help documentation for a guide to using OAuth.

      A typical JDBC URL is below. jdbc:ibmcloudsqlquery:Api Key=MyAPIKey;Instance CRN=myInstanceCRN;Region=myRegion;Schema=mySchema;OAuth Client Id=myOAuthClientId;OAuth Client Secret=myOAuthClientSecret;

    • 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 Id, Status FROM Jobs WHERE UserId = user@domain.com
  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.
 
 
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