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Try them now for free →A PostgreSQL Interface for Odoo Data
Use the Remoting features of the Odoo JDBC 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 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 CData JDBC Driver for Odoo and a JDBC foreign data wrapper (FDW). In this article, we compile the FDW, install it, 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.
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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 Data as a JDBC Data Source
To connect to Odoo as a JDBC data source, you will need the following:
- Driver JAR path: The JAR is located in the lib subfolder of the installation directory.
Driver class:
cdata.jdbc.odoo.OdooDriver
- JDBC URL:
The URL must start with "jdbc:odoo:" and can include any of the connection properties in name-value pairs separated with semicolons.
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;
Build the JDBC Foreign Data Wrapper
The Foreign Data Wrapper can be installed as an extension to PostgreSQL, without recompiling PostgreSQL. The jdbc2_fdw extension is used as an example (downloadable here).
- Add a symlink from the shared object for your version of the JRE to /usr/lib/libjvm.so. For example:
ln -s /usr/lib/jvm/java-6-openjdk/jre/lib/amd64/server/libjvm.so /usr/lib/libjvm.so
- Start the build:
make install USE_PGXS=1
Query Odoo Data as a PostgreSQL Database
After you have installed the extension, follow the steps below to start executing queries to Odoo data:
- Log into your database.
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Load the extension for the database:
CREATE EXTENSION jdbc2_fdw;
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Create a server object for Odoo:
CREATE SERVER Odoo FOREIGN DATA WRAPPER jdbc2_fdw OPTIONS ( drivername 'cdata.jdbc.odoo.OdooDriver', url 'jdbc:odoo:User=MyUser;Password=MyPassword;URL=http://MyOdooSite/;Database=MyDatabase;', querytimeout '15', jarfile '/home/MyUser/CData/CData\ JDBC\ Driver\ for\ Salesforce MyDriverEdition/lib/cdata.jdbc.odoo.jar');
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Create a user mapping for the username and password of a user known to the MySQL daemon.
CREATE USER MAPPING for postgres SERVER Odoo OPTIONS ( username 'admin', password 'test');
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Create a foreign table in your local database:
postgres=# CREATE FOREIGN TABLE res_users ( res_users_id text, res_users_name text, res_users_email numeric) SERVER Odoo OPTIONS ( table_name 'res_users');
postgres=# SELECT * FROM res_users;