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Get the Report →Create Informatica Mappings From/To a JDBC Data Source for Odoo
Create Odoo data objects in Informatica using the standard JDBC connection process: Copy the JAR and then connect.
Informatica provides a powerful, elegant means of transporting and transforming your data. By utilizing the CData JDBC Driver for Odoo, you are gaining access to a driver based on industry-proven standards that integrates seamlessly with Informatica's powerful data transportation and manipulation features. This tutorial shows how to transfer and browse Odoo data in Informatica PowerCenter.
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
Deploy the Driver
To deploy the driver to the Informatica PowerCenter server, copy the CData JAR and .lic file, located in the lib subfolder in the installation directory, to the following folder: Informatica-installation-directory\services\shared\jars\thirdparty.
To work with Odoo data in the Developer tool, you will need to copy the CData JAR and .lic file, located in the lib subfolder in the installation directory, into the following folders:
- Informatica-installation-directory\client\externaljdbcjars
- Informatica-installation-directory\externaljdbcjars
Create the JDBC Connection
Follow the steps below to connect from Informatica Developer:
- In the Connection Explorer pane, right-click your domain and click Create a Connection.
- In the New Database Connection wizard that is displayed, enter a name and Id for the connection and in the Type menu select JDBC.
- In the JDBC Driver Class Name property, enter:
cdata.jdbc.odoo.OdooDriver
- In the Connection String property, enter the JDBC URL, using the connection properties for Odoo.
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 connection string is below:
jdbc:odoo:User=MyUser;Password=MyPassword;URL=http://MyOdooSite/;Database=MyDatabase;
Browse Odoo Tables
After you have added the driver JAR to the classpath and created a JDBC connection, you can now access Odoo entities in Informatica. Follow the steps below to connect to Odoo and browse Odoo tables:
- Connect to your repository.
- In the Connection Explorer, right-click the connection and click Connect.
- Clear the Show Default Schema Only option.
You can now browse Odoo tables in the Data Viewer: Right-click the node for the table and then click Open. On the Data Viewer view, click Run.
Create Odoo Data Objects
Follow the steps below to add Odoo tables to your project:
- Select tables in Odoo, then right-click a table in Odoo, and click Add to Project.
- In the resulting dialog, select the option to create a data object for each resource.
- In the Select Location dialog, select your project.
Create a Mapping
Follow the steps below to add the Odoo source to a mapping:
- In the Object Explorer, right-click your project and then click New -> Mapping.
- Expand the node for the Odoo connection and then drag the data object for the table onto the editor.
- In the dialog that appears, select the Read option.
Follow the steps below to map Odoo columns to a flat file:
- In the Object Explorer, right-click your project and then click New -> Data Object.
- Select Flat File Data Object -> Create as Empty -> Fixed Width.
- In the properties for the Odoo object, select the rows you want, right-click, and then click copy. Paste the rows into the flat file properties.
- Drag the flat file data object onto the mapping. In the dialog that appears, select the Write option.
- Click and drag to connect columns.
To transfer Odoo data, right-click in the workspace and then click Run Mapping.