Connect to Azure Table Data in CloverDX (formerly CloverETL)

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

Connect to Azure Table as a JDBC Data Source

1. Create the connection to Azure Table 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.azuretables.jar file.
3. Enter the JDBC URL.

   Specify your AccessKey and your Account to connect. Set the Account property to the Storage Account Name and set AccessKey to one of the Access Keys. Either the Primary or Secondary Access Keys can be used. To obtain these values, navigate to the Storage Accounts blade in the Azure portal. You can obtain the access key by selecting your account and clicking Access Keys in the Settings section.

   Built-in Connection String Designer

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

   java -jar cdata.jdbc.azuretables.jar

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

   A typical JDBC URL is below:

   jdbc:azuretables:AccessKey=myAccessKey;Account=myAccountName;

Query Azure Table 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 Table JDBC data source from the drop-down menu.
3. Enter the SQL query. For example: SELECT Name, Price FROM NorthwindProducts

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 NorthwindProducts table. (You can also open this menu by right-clicking the input port for the UniversalDataWriter.)
6. Click Run to write to the file.