Integrate with Live Presto Data in MuleSoft (via CData Connect Cloud)

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 Cloud, it provides access to Presto data for visualizations, dashboards, and more. This article explains how to use CData Connect Cloud to create a live connection to Presto and how to connect and access live Presto data from the MuleSoft Anypoint Platform.

Prerequisites

Before configuring and using MuleSoft with CData Connect Cloud, you must first connect a data source to your CData Connect Cloud 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.

Configure Presto Connectivity for MuleSoft

Connectivity to Presto from MuleSoft is made possible through CData Connect Cloud. To work with Presto data from MuleSoft, we start by creating and configuring a Presto connection.

1. Log into Connect Cloud, click Connections and click Add Connection
2. Select "Presto" from the Add Connection panel
3. Enter the necessary authentication properties to connect to Presto.

   Set the Server and Port connection properties to connect, in addition to any authentication properties that may be required.

   To enable TLS/SSL, set UseSSL to true.

   Authenticating with LDAP

   In order to authenticate with LDAP, set the following connection properties:

   • AuthScheme: Set this to LDAP.
   • User: The username being authenticated with in LDAP.
   • Password: The password associated with the User you are authenticating against LDAP with.

   Authenticating with Kerberos

   In order to authenticate with KERBEROS, set the following connection properties:

   • AuthScheme: Set this to KERBEROS.
   • KerberosKDC: The Kerberos Key Distribution Center (KDC) service used to authenticate the user.
   • KerberosRealm: The Kerberos Realm used to authenticate the user with.
   • KerberosSPN: The Service Principal Name for the Kerberos Domain Controller.
   • KerberosKeytabFile: The Keytab file containing your pairs of Kerberos principals and encrypted keys.
   • User: The user who is authenticating to Kerberos.
   • Password: The password used to authenticate to Kerberos.
4. Click Create & Test
5. Navigate to the Permissions tab in the Add Presto Connection page and update the User-based permissions.

With the connection configured, you are ready to connect to Presto data from MuleSoft.

Connecting to CData Connect Cloud

Follow these steps to establish a connection from Mulesoft to CData Connect Cloud through the JDBC driver:

1. Download and install the CData Connect Cloud JDBC driver.
   1. Open the Client Tools page of CData Connect Cloud.
   2. Locate MuleSoft and click on Download for Mac/Windows/Linux.
   3. Download and run the setup file.
   4. When the installation is complete, the JAR file can be found in the installation directory (inside the lib folder).
2. Log into Mulesoft Anypoint Studio or launch the desktop application.
3. Create a new Mulesoft project. The new project appears in a project folder.
4. In the Mule Palette located on the right, drag an HTTP Listener to the Message Flow area.
5. Click on the HTTP Listener to configure it.
6. Click the + sign on the right of Connector configuration. The HTTP Listener config dialog appears.
7. Configure the HTTP Listener, providing a Port on which to query your data, and click OK.
8. Provide a path on which to perform the actions. The HTTP Listener is now configured.
9. In the Mule Palette on the right, type database in the search bar.
10. Drag the database operation you want to perform to the Message Flow area. For this example, we choose Select.
11. Select Generic Connection from the Connection dropdown in the Database Config dialog.
12. Click the Configure button to configure the JDBC driver. Select Use local file from the drop-down list.
13. Locate the CData Connect Cloud JAR file from the JDBC driver installation and click OK.
14. Provide the following information:
    • URL: the URL for the connection, for example: jdbc:connect:Authscheme=Basic;user=username;password=password Note: the password is the PAT created in the Prerequisites section.
    • Driver class name: Enter the Driver class name as: cdata.jdbc.connect.ConnectDriver
15. Click Test Connection.
16. 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.
17. In the Mule Palette, drag Transform Message to the Message Flow area.
18. Click Transform Message to configure it. Change the Output as follows:
19. Save your project and run it. In the console, Mulesoft starts initializing the dependencies.
20. 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.
21. Query to check out the data using the Postman application (as shown below).

SQL Access to Presto Data from Cloud Applications

Now you have a direct connection to live Presto data from MuleSoft Anypoint Platform. You can create more connections to ensure seamless data flow, automate business processes, and manage APIs - all without replicating Presto data.

To get real-time data access to 100+ SaaS, Big Data, and NoSQL sources (including Presto) directly from your cloud applications, explore the CData Connect Cloud.