Connect to Coda Data in CloverDX (formerly CloverETL)

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

Connect to Coda as a JDBC Data Source

1. Create the connection to Coda 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.api.jar file.
3. Enter the JDBC URL.

   Start by setting the Profile connection property to the location of the Coda Profile on disk (e.g. C:\profiles\Coda.apip). Next, set the ProfileSettings connection property to the connection string for Coda (see below).

   Coda API Profile Settings

   Obtain your API token from your Coda account settings under the API Settings section.

   Built-in Connection String Designer

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

   java -jar cdata.jdbc.api.jar
   

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

   

   A typical JDBC URL is below:

   jdbc:api:Profile=C:\profiles\Coda.apip;ProfileSettings='APIKey=your_api_token';

Query Coda 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 Coda JDBC data source from the drop-down menu.
3. Enter the SQL query. For example:

   SELECT CanShare, CanShareWithWorkspace FROM AclMetadata WHERE DocId = 'AbCdEfGh'

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