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Rapidly create and deploy powerful Java applications that integrate with Azure Data Catalog.

Connect to Azure Data Catalog Data in CloverDX (formerly CloverETL)



Transfer Azure Data Catalog data using the visual workflow in the CloverDX data integration tool.

The CData JDBC Driver for Azure Data Catalog enables you to use the data transformation components in CloverDX (formerly CloverETL) to work with Azure Data Catalog as sources. In this article, you will use the JDBC Driver for Azure Data Catalog to set up a simple transfer into a flat file. The CData JDBC Driver for Azure Data Catalog enables you to use the data transformation components in CloverDX (formerly CloverETL) to work with Azure Data Catalog as sources. In this article, you will use the JDBC Driver for Azure Data Catalog to set up a simple transfer into a flat file.

Connect to Azure Data Catalog as a JDBC Data Source

  1. Create the connection to Azure Data Catalog data. In a new CloverDX graph, right-click the Connections node in the Outline pane and click Connections -> Create Connection. The Database Connection wizard is displayed.
  2. Click the plus icon to load a driver from a JAR. Browse to the lib subfolder of the installation directory and select the cdata.jdbc.azuredatacatalog.jar file.
  3. Enter the JDBC URL.

    You can optionally set the following to read the different catalog data returned from Azure Data Catalog.

      CatalogName: Set this to the CatalogName associated with your Azure Data Catalog. To get your Catalog name, navigate to your Azure Portal home page > Data Catalog > Catalog Name

    Connect Using OAuth Authentication

    You must use OAuth to authenticate with Azure Data Catalog. OAuth requires the authenticating user to interact with Azure Data Catalog using the browser. For more information, refer to the OAuth section in the help documentation.

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.azuredatacatalog.jar

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

    A typical JDBC URL is below:

    jdbc:azuredatacatalog:InitiateOAuth=GETANDREFRESH

Query Azure Data Catalog Data with the DBInputTable Component

  1. Drag a DBInputTable from the Readers selection of the Palette onto the job flow and double-click it to open the configuration editor.
  2. In the DB connection property, select the Azure Data Catalog JDBC data source from the drop-down menu.
  3. Enter the SQL query. For example: SELECT DslAddressDatabase, Type FROM Tables WHERE Name = 'FactProductInventory'

Write the Output of the Query to a UniversalDataWriter

  1. Drag a UniversalDataWriter from the Writers selection onto the jobflow.
  2. Double-click the UniversalDataWriter to open the configuration editor and add a file URL.
  3. Right-click the DBInputTable and then click Extract Metadata.
  4. Connect the output port of the DBInputTable to the UniversalDataWriter.
  5. In the resulting Select Metadata menu for the UniversalDataWriter, choose the Tables table. (You can also open this menu by right-clicking the input port for the UniversalDataWriter.)
  6. Click Run to write to the file.