Connect to Odoo Data in CloverDX (formerly CloverETL)


Transfer Odoo data using the visual workflow in the CloverDX data integration tool.

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

About Odoo Data Integration

Accessing and integrating live data from Odoo has never been easier with CData. Customers rely on CData connectivity to:

  • Access live data from both Odoo API 8.0+ and Odoo.sh Cloud ERP.
  • Extend the native Odoo features with intelligent handling of many-to-one, one-to-many, and many-to-many data properties. CData's connectivity solutions also intelligently handle complex data properties within Odoo. In addition to columns with simple values like text and dates, there are also columns that contain multiple values on each row. The driver decodes these kinds of values differently, depending upon the type of column the value comes from:
    • Many-to-one columns are references to a single row within another model. Within CData solutions, many-to-one columns are represented as integers, whose value is the ID to which they refer in the other model.
    • Many-to-many columns are references to many rows within another model. Within CData solutions, many-to-many columns are represented as text containing a comma-separated list of integers. Each value in that list is the ID of a row that is being referenced.
    • One-to-many columns are references to many rows within another model - they are similar to many-to-many columns (comma-separated lists of integers), except that each row in the referenced model must belong to only one in the main model.
  • Use SQL stored procedures to call server-side RFCs within Odoo.

Users frequently integrate Odoo with analytics tools such as Power BI and Qlik Sense, and leverage our tools to replicate Odoo data to databases or data warehouses.


Getting Started


Connect to Odoo as a JDBC Data Source

  1. Create the connection to Odoo 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.odoo.jar file.
  3. Enter the JDBC URL.

    To connect, set the Url to a valid Odoo site, User and Password to the connection details of the user you are connecting with, and Database to the Odoo database.

    Built-in Connection String Designer

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

    java -jar cdata.jdbc.odoo.jar

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

    A typical JDBC URL is below:

    jdbc:odoo:User=MyUser;Password=MyPassword;URL=http://MyOdooSite/;Database=MyDatabase;

Query Odoo 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 Odoo JDBC data source from the drop-down menu.
  3. Enter the SQL query. For example: SELECT name, email FROM res_users

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

Ready to get started?

Download a free trial of the Odoo Driver to get started:

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