Model Context Protocol (MCP) finally gives AI models a way to access the business data needed to make them really useful at work. CData MCP Servers have the depth and performance to make sure AI has access to all of the answers.
Try them now for free →A PostgreSQL Interface for Odoo Data
Use the SQL Gateway and 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 SQL Gateway included in our ODBC 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 on Windows, use the CData SQL Gateway, the ODBC Driver for Odoo, and the MySQL foreign data wrapper from EnterpriseDB. In this article, we compile the foreign data wrapper in Visual Studio, install it as an extension, 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
If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
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.
Start the Remoting Service
The MySQL remoting service is a daemon process that listens for clients' incoming MySQL connections. See the setup guide in the SQL Gateway overview to configure the MySQL Remoting service in the CData SQL Gateway.
Build the MySQL Foreign Data Wrapper
The Foreign Data Wrapper can be installed as an extension to PostgreSQL, without recompiling PostgreSQL. If you are running PostgreSQL on a Unix-based system, you can use the PostgreSQL Extension Network (PGXN) to install the FDW, mysql_fdw. If you are running PostgreSQL on Windows, compile the extension to ensure that you are working with the latest version. Follow the steps below to make the necessary modifications to build the extension from Visual Studio:
Obtain Prerequisites
To build the foreign data wrapper, do the following:
- Install PostgreSQL. This example uses an installation of PostgreSQL 9.4.
- If you are using a 64-bit installation of PostgreSQL, obtain libintl.h from the PostgreSQL source. The 64-bit PostgreSQL installer does not currently include libintl.h.
- Obtain the source for the mysql_fdw foreign data wrapper from EnterpriseDB.
- Install MySQL Connector C. This example uses an installation of MySQL Connector C 6.1.
Configure a Project
After you have obtained the necessary software and source code, you are ready to compile the extension with Visual Studio. Follow the steps below to create a project using the mysql_fdw source:
- In Visual Studio, create a new empty C++ project.
- In Solution Explorer, right-click Source Files and click Add -> Existing Item. In the file explorer, select all of the .c and .h files from the mysql_fdw source.
Follow the steps below to configure your project:
- If you are building for a 64-bit system, click Build -> Configuration Manager and in Active Solution Platform select x64.
- Right-click your project and click Properties.
- In the Configuration menu, select All Configurations.
- In Configuration Properties -> General -> Configuration Type, select Dynamic Library.
- In Configuration Properties -> C/C++ -> Code Generation -> Enable C++ Exceptions, select No.
- In Configuration Properties -> C/C++ -> Advanced -> Compile As, select Compile as C Code.
- In Linker -> Manifest File -> Generate Manifest, select No.
Follow the steps below to add the required dependencies:
- In Linker -> Input -> Additional Dependencies, select Edit and enter the following:
postgres.lib libmysql.lib WS2_32.lib Secur32.lib
Additionally, ensure that Inherit From Parent or Project Defaults is checked. - In Linker -> General -> Additional Library Directories, select Edit and add the path to the lib folder in your PostgreSQL installation.
- In Linker -> General -> Link Library Dependencies, select No.
- To complete the configuration of your project, add the necessary includes:
In C/C++ -> General -> Additional Include Directories, add the following folders in the following order:
MyMySQLConnectorCInstallation\include MyPostgreSQLInstallation\MyPostgreSQLVersion\include\server\port\win32_msvc MyPostgreSQLInstallation\MyPostgreSQLVersion\include\server\port\win32 MyPostgreSQLInstallation\MyPostgreSQLVersion\include\server MyPostgreSQLInstallation\MyPostgreSQLVersion\include
Configure mysql_fdw for Windows
After setting up a project, make the following changes to build mysql_fdw in Visual Studio:
- In mysql_fdw.c, add the following defines:
#define dlsym(lib, name) (void*)GetProcAddress((HMODULE)lib, name) #define dlopen(libname, unused) LoadLibraryEx(libname, NULL, 0)
-
In the mysql_load_library definition, delete the following line:
mysql_dll_handle = dlopen(_MYSQL_LIBNAME, RTLD_LAZY | RTLD_DEEPBIND);
-
Add the following line in the mysql_load_library definition to replace the assignment of mysql_dll_handle for a Windows build:
mysql_dll_handle = dlopen("libmysql.dll", 0);
-
Prepend the call to the mysql_fdw_handler function with the __declspec(dllexport) keyword to export the function from the DLL:
__declspec(dllexport) extern Datum mysql_fdw_handler(PG_FUNCTION_ARGS);
-
In option.c, prepend the declaration of the mysql_fdw_validator function with the __declspec(dllexport) keyword to export the function from the DLL:
__declspec(dllexport) extern Datum mysql_fdw_validator(PG_FUNCTION_ARGS);
You can now select the Release configuration and build.
Install the Extension
After you have compiled the DLL, follow the steps below to install the extension:
- Add the path to the lib folder for MySQL Connector C to the PATH environment variable of the machine running PostgreSQL.
- Copy the DLL from the RElease folder for your project into the lib subfolder of your PostgreSQL installation.
- In the folder containing the mysql_fdw csource files, copy myswl_fdw--1.0.sql and mysql_fdw.control into the extension folder under the share folder of your PostgreSQL installation. For example: C:\Program Files\PostgreSQL\9.4\share\extension.
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 PostgreSQL database. For example:
C:\> psql -U postgres
-
Load the extension for the database:
postgres=#CREATE EXTENSION mysql_fdw;
-
Create a server object for Odoo data:
postgres=# CREATE SERVER Odoo FOREIGN DATA WRAPPER mysql_fdw OPTIONS (host '127.0.0.1', port '3306');
-
Create a user mapping for the username and password of a user known to the MySQL remoting service. Below are the credentials for the user in the sample configuration of the service:
postgres=# CREATE USER MAPPING for postgres SERVER Odoo OPTIONS (username 'admin', password 'test');
-
Create the local schema:
postgres=# CREATE SCHEMA Odoo_db;
-
Import all the tables in the Odoo database you defined:
postgres=# IMPORT FOREIGN SCHEMA "CData Odoo Sys" FROM SERVER Odoo INTO Odoo_db;
You can now execute read/write commands to Odoo:
postgres=# SELECT * FROM Odoo_db."res_users";