A PostgreSQL Interface for Odoo Data


Use the Remoting features of the Odoo ODBC Driver to create a PostgreSQL entry-point for data access.

There are a vast number of PostgreSQL clients available on the Internet. From standard Drivers to BI and Analytics tools, PostgreSQL is a popular interface for data access. Using the remoting features of our JDBC Drivers, you can now create PostgreSQL entry-points that you can connect to from any standard client.

To access Odoo data as a PostgreSQL database, use the Remoting feature of the CData JDBC Driver for Odoo and the MySQL foreign data wrapper (FDW) from EnterpriseDB. In this article, we install the FDW and query Odoo data from PostgreSQL Server.

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


Configure the Connection to Odoo

Follow the steps below to configure the driver's MySQL daemon to use the credentials and other connection properties needed to connect to Odoo. The MySQL daemon exposes Odoo data as a MySQL database named CDataOdoo. Add connection properties to the databases section of the configuration file for the daemon. The configuration file for the daemon is located in the lib subfolder of the installation directory for the driver.

Below is a typical connection string:

[databases] odoo = "User=MyUser;Password=MyPassword;URL=http://MyOdooSite/;Database=MyDatabase;"

Additionally, create a user in the users section.

You can find all of the configuration options for the MySQL daemon in the help documentation.

Start the Remoting Service

Follow the steps below to enable the MySQL Remoting feature of the CData JDBC Driver for Odoo.

  1. The driver creates a default configuration suitable for testing: Simply start the service to connect to Odoo data.

  2. Start the MySQL Remoting Service with the following command: java -jar cdata.jdbc.odoo.jar -f cdata.jdbc.odoo.remoting.ini

Build and Install the MySQL Foreign Data Wrapper

The Foreign Data Wrapper can be installed as an extension to PostgreSQL, without recompiling PostgreSQL.

If pgxn is available for your operating system, you can install with the following:

pgxn install mysql_fdw USE_PGXS=1

Otherwise, follow the steps below to build it yourself:

  1. Install the MySQL C client library and obtain the source for the EnterpriseDB FDW for MySQL; from GitHub, for example.
  2. Build the FDW. Add the pg_config and mysql_config executables to your PATH: env PATH=/usr/local/pgsql/bin:/usr/local/mysql/bin:$PATH make USE_PGXS=1
  3. Install the FDW: make USE_PGXS=1 install

To complete the installation, you will need to load the libmysqlclient library into the environment; for example by adding it to the path.

Query Odoo Data as a PostgreSQL Database

After you have installed the extension, follow the steps below to start executing queries to Odoo data:

  1. Log into your database.
  2. Load the extension for the database: postgres=#CREATE EXTENSION mysql_fdw;
  3. Create a server object for Odoo data: postgres=# CREATE SERVER Odoo FOREIGN DATA WRAPPER mysql_fdw OPTIONS (host '127.0.0.1', port '3309');
  4. Create a user mapping for the username and password of a user known to the MySQL daemon. postgres=# CREATE USER MAPPING for postgres SERVER Odoo OPTIONS (username 'admin', password 'test');
  5. Create the local schema: postgres=# CREATE SCHEMA Odoo_db;
  6. Import all the tables in the Odoo database you defined in the daemon configuration file: postgres=# IMPORT FOREIGN SCHEMA "Odoo" FROM SERVER Odoo INTO Odoo_db;

You can now execute read/write commands to Odoo:

postgres=# SELECT * FROM Odoo_db."res_users";

Ready to get started?

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

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