Ready to get started?

Learn more about the CData JDBC Driver for WooCommerce or download a free trial:

Download Now

ETL WooCommerce in Oracle Data Integrator

This article shows how to transfer WooCommerce data into a data warehouse using Oracle Data Integrator.

Leverage existing skills by using the JDBC standard to read and write to WooCommerce: Through drop-in integration into ETL tools like Oracle Data Integrator (ODI), the CData JDBC Driver for WooCommerce connects real-time WooCommerce data to your data warehouse, business intelligence, and Big Data technologies.

JDBC connectivity enables you to work with WooCommerce just as you would any other database in ODI. As with an RDBMS, you can use the driver to connect directly to the WooCommerce APIs in real time instead of working with flat files.

This article walks through a JDBC-based ETL -- WooCommerce to Oracle. After reverse engineering a data model of WooCommerce entities, you will create a mapping and select a data loading strategy -- since the driver supports SQL-92, this last step can easily be accomplished by selecting the built-in SQL to SQL Loading Knowledge Module.

Install the Driver

To install the driver, copy the driver JAR and .lic file, located in the installation folder, into the ODI userlib directory:

On Unix: ~/.odi/oracledi/userlib On Windows: %APPDATA%\Roaming\odi\oracledi\userlib

Restart ODI to complete the installation.

Reverse Engineer a Model

Reverse engineering the model retrieves metadata about the driver's relational view of WooCommerce data. After reverse engineering, you can query real-time WooCommerce data and create mappings based on WooCommerce tables.

  1. In ODI, connect to your repository and click New -> Model and Topology Objects.
  2. On the Model screen of the resulting dialog, enter the following information:
    • Name: Enter WooCommerce.
    • Technology: Select Generic SQL.
    • Logical Schema: Enter WooCommerce.
    • Context: Select Global.
  3. On the Data Server screen of the resulting dialog, enter the following information:
    • Name: Enter WooCommerce.
    • Driver List: Select Oracle JDBC Driver.
    • Driver: Enter cdata.jdbc.woocommerce.WooCommerceDriver
    • URL: Enter the JDBC URL containing the connection string.

      WooCommerce supports the following authentication methods: one-legged OAuth1.0 Authentication and standard OAuth2.0 Authentication.

      Connecting using one-legged OAuth 1.0 Authentication

      Specify the following properties (NOTE: the below credentials are generated from &service; settings page and should not be confused with the credentials generated by using WordPress OAuth2.0 plugin):

      • ConsumerKey
      • ConsumerSecret

      Connecting using WordPress OAuth 2.0 Authentication

      After having configured the plugin, you may connect to WooCommerce by providing the following connection properties:

      • OAuthClientId
      • OAuthClientSecret
      • CallbackURL
      • InitiateOAuth - Set this to either GETANDREFRESH or REFRESH

      In either case, you will need to set the Url property to the URL of the WooCommerce instance.

      Built-in Connection String Designer

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

      java -jar cdata.jdbc.woocommerce.jar

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

      Below is a typical connection string:

      jdbc:woocommerce:Url=https://example.com/; ConsumerKey=ck_ec52c76185c088ecaa3145287c8acba55a6f59ad; ConsumerSecret=cs_9fde14bf57126156701a7563fc87575713c355e5; InitiateOAuth=GETANDREFRESH
  4. On the Physical Schema screen, enter the following information:
    • Schema (Schema): Enter WooCommerce.
    • Schema (Work Schema): Enter WooCommerce.
  5. In the opened model click Reverse Engineer to retrieve the metadata for WooCommerce tables.

Edit and Save WooCommerce Data

After reverse engineering you can now work with WooCommerce data in ODI. To edit and save WooCommerce data, expand the Models accordion in the Designer navigator, right-click a table, and click Data. Click Refresh to pick up any changes to the data. Click Save Changes when you are finished making changes.

Create an ETL Project

Follow the steps below to create an ETL from WooCommerce. You will load Orders entities into the sample data warehouse included in the ODI Getting Started VM.

  1. Open SQL Developer and connect to your Oracle database. Right-click the node for your database in the Connections pane and click new SQL Worksheet.

    Alternatively you can use SQLPlus. From a command prompt enter the following:

    sqlplus / as sysdba
  2. Enter the following query to create a new target table in the sample data warehouse, which is in the ODI_DEMO schema. The following query defines a few columns that match the Orders table in WooCommerce: CREATE TABLE ODI_DEMO.TRG_ORDERS (TOTAL NUMBER(20,0),ParentId VARCHAR2(255));
  3. In ODI expand the Models accordion in the Designer navigator and double-click the Sales Administration node in the ODI_DEMO folder. The model is opened in the Model Editor.
  4. Click Reverse Engineer. The TRG_ORDERS table is added to the model.
  5. Right-click the Mappings node in your project and click New Mapping. Enter a name for the mapping and clear the Create Empty Dataset option. The Mapping Editor is displayed.
  6. Drag the TRG_ORDERS table from the Sales Administration model onto the mapping.
  7. Drag the Orders table from the WooCommerce model onto the mapping.
  8. Click the source connector point and drag to the target connector point. The Attribute Matching dialog is displayed. For this example, use the default options. The target expressions are then displayed in the properties for the target columns.
  9. Open the Physical tab of the Mapping Editor and click ORDERS_AP in TARGET_GROUP.
  10. In the ORDERS_AP properties, select LKM SQL to SQL (Built-In) on the Loading Knowledge Module tab.

You can then run the mapping to load WooCommerce data into Oracle.