Connect to Shopify Data in CloverDX (formerly CloverETL)

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

Connect to Shopify as a JDBC Data Source

1. Create the connection to Shopify 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.shopify.jar file.
3. Enter the JDBC URL.

   To make use of all the features of the data provider, provide the AppId, Password, and ShopUrl connection properties.

   To obtain these values, see the Getting Started section in the help documentation to register the data provider as an application with Shopify.

   Built-in Connection String Designer

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

   java -jar cdata.jdbc.shopify.jar

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

   A typical JDBC URL is below:

   jdbc:shopify:AppId=MyAppId;Password=MyPassword;ShopUrl=https://yourshopname.myshopify.com;

Query Shopify 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 Shopify JDBC data source from the drop-down menu.
3. Enter the SQL query. For example: SELECT FirstName, Id FROM Customers

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