The MuleSoft Anypoint Platform enables the building, deployment, and management of APIs and integrations, facilitating seamless connectivity across applications and systems. When combined with CData Connect AI, it provides access to Odoo data for visualizations, dashboards, and more. This article explains how to use CData Connect AI to create a live connection to Odoo and how to connect and access live Odoo data from the MuleSoft Anypoint Platform.
Prerequisites
Before configuring and using MuleSoft with CData Connect AI, you must first connect a data source to your CData Connect AI account. For more information, see the Connections section.
Additionally, you need to generate a Personal Access Token (PAT) on the Settings page. Be sure to copy it down, as it serves as your password during authentication.
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 Odoo Connectivity for MuleSoft
Connectivity to Odoo from MuleSoft is made possible through CData Connect AI. To work with Odoo data from MuleSoft, we start by creating and configuring a Odoo connection.
-
Log into Connect AI, click Sources, and then click Add Connection
π Adding a Connection
- Select "Odoo" from the Add Connection panel
π Selecting a data source
-
Enter the necessary authentication properties to connect to 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.
π Configuring a connection (Salesforce is shown)
-
Click Save & Test
-
Navigate to the Permissions tab in the Add Odoo Connection page and update the User-based permissions.
π Updating permissions
Add a Personal Access Token
When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.
-
Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
-
On the Settings page, go to the Access Tokens section and click Create PAT.
-
Give the PAT a name and click Create.
π Creating a new PAT
-
The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
With the connection configured and a PAT generated, you are ready to connect to Odoo data from Mulesoft.
Connecting to CData Connect AI
Follow these steps to establish a connection from Mulesoft to CData Connect AI through the JDBC driver:
-
Download and install the CData Connect AI JDBC driver.
-
Open the Integrations page of CData Connect AI.
-
Search for and select JDBC.
-
Download and run the setup file.
-
When the installation is complete, the JAR file can be found in the installation directory (inside the lib folder).
- Log into Mulesoft Anypoint Studio or launch the desktop application.
- Create a new Mulesoft project.
π Create a new MuleSoft project
π Add the project name
The new project appears in a project folder.
π The new project is created
- In the Mule Palette located on the right, drag an HTTP Listener to the Message Flow area.
π Drag the HTTP Listener to the Message Flow area
- Click on the HTTP Listener to configure it.
π Click on the HTTP Listener to configure it
- Click the + sign on the right of Connector configuration. The HTTP Listener config dialog appears.
- Configure the HTTP Listener, providing a Port on which to query your data, and click OK.
π Add the port number to configure the HTTP Listener
- Provide a path on which to perform the actions. The HTTP Listener is now configured.
π Provide a path to perform the actions
- In the Mule Palette on the right, type database in the search bar.
π Search for database in Mule Palette search bar
- Drag the database operation you want to perform to the Message Flow area. For this example, we choose Select.
π Drag the database operation in the Message Flow area
- Select Generic Connection from the Connection dropdown in the Database Config dialog.
π Select Generic Connection from the Connection dropdown
- Click the Configure button to configure the JDBC driver. Select Use local file from the drop-down list.
π Select Use local file from the dropdown
- Locate the CData Connect AI JAR file from the JDBC driver installation and click OK.
π Add the CData Connect AI JAR file path
- Provide the following information:
- Click Test Connection.
π Click on Test Connection
- If the connection is successful, provide the SQL Query Text in the editor. You can see the table metadata on the right side in the Output tab.
π Write the SQL Query
- In the Mule Palette, drag Transform Message to the Message Flow area.
π Drag Transform Message to the Message Flow area
- Click Transform Message to configure it. Change the Output as follows:
π Configure Transform Message
- Save your project and run it. In the console, Mulesoft starts initializing the dependencies.
π Save and Run the project
- Once you see the message, "Message source 'listener' on flow your_project_name successfully started", you can start querying your data at the endpoint you provided.
π Check for the 'Message source 'listener' on flow your_project_name successfully started' message to get started
- Query to check out the data using the Postman application (as shown below).
π Send an API request from Postman to check the Odoo data
SQL Access to Odoo Data from Cloud Applications
Now you have a direct connection to live Odoo data from MuleSoft Anypoint Platform. You can create more connections to ensure seamless data flow, automate business processes, and manage APIs - all without replicating Odoo data.
To get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources (including Odoo) directly from your cloud applications, explore the CData Connect AI.