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 OData services for visualizations, dashboards, and more. This article explains how to use CData Connect AI to create a live connection to OData and how to connect and access live OData services 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 OData Data Integration
CData simplifies access and integration of live OData services data. Our customers leverage CData connectivity to:
- Access OData versions 2.0, 3.0, and 4.0, working with legacy services and the latest features and capabilities.
- Leverage advanced query options, including $filter, $select, and $expand, enhancing data retrieval from 3rd party tools.
- Use Server-side execution of aggregation and grouping to minimize data transfer and boost performance.
- Authenticate securely using a variety of schemes, including Azure AD, digest, negotiate, NTLM, OAuth, and more means secure authentication with every connection.
- Use SQL stored procedures to manage OData service entities - listing, creating, and removing associations between entities.
Customers use CData's solutions to regularly integrate their OData services with preferred tools, such as Power BI, MicroStrategy, or Tableau, and to replicate data from OData services to their databases or data warehouses.
Getting Started
Configure OData Connectivity for MuleSoft
Connectivity to OData from MuleSoft is made possible through CData Connect AI. To work with OData services from MuleSoft, we start by creating and configuring a OData connection.
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Log into Connect AI, click Sources, and then click Add Connection
π Adding a Connection
- Select "OData" from the Add Connection panel
π Selecting a data source
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Enter the necessary authentication properties to connect to OData.
The User and Password properties, under the Authentication section, must be set to valid OData user
credentials. In addition, specify a URL to a valid OData server organization root or
OData services file.
π Configuring a connection (Salesforce is shown)
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Click Save & Test
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Navigate to the Permissions tab in the Add OData 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.
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Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
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On the Settings page, go to the Access Tokens section and click Create PAT.
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Give the PAT a name and click Create.
π Creating a new PAT
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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 OData services from Mulesoft.
Connecting to CData Connect AI
Follow these steps to establish a connection from Mulesoft to CData Connect AI through the JDBC driver:
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Download and install the CData Connect AI JDBC driver.
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Open the Integrations page of CData Connect AI.
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Search for and select JDBC.
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Download and run the setup file.
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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 OData data
SQL Access to OData Services from Cloud Applications
Now you have a direct connection to live OData services from MuleSoft Anypoint Platform. You can create more connections to ensure seamless data flow, automate business processes, and manage APIs - all without replicating OData services.
To get real-time data access to hundreds of SaaS, Big Data, and NoSQL sources (including OData) directly from your cloud applications, explore the CData Connect AI.