Stream Talkdesk Data into Apache Kafka Topics

Apache Kafka is an open-source stream processing platform that is primarily used for building real-time data pipelines and event-driven applications. When paired with the CData JDBC Driver for Talkdesk, Kafka can work with live Talkdesk data. This article describes how to connect, access and stream Talkdesk data into Apache Kafka Topics and to start Confluent Control Center to help users secure, manage, and monitor the Talkdesk data received using Kafka infrastructure in the Confluent Platform.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Talkdesk data. When you issue complex SQL queries to Talkdesk, the driver pushes supported SQL operations, like filters and aggregations, directly to Talkdesk and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Talkdesk data using native data types.

Prerequisites

Before connecting the CData JDBC Driver for streaming Talkdesk data in Apache Kafka Topics, install and configure the following in the client Linux-based system.

1. Confluent Platform for Apache Kafka
2. Confluent Hub CLI Installation
3. Self-Managed Kafka JDBC Source Connector for Confluent Platform

Define a New JDBC Connection to Talkdesk data

1. Download CData JDBC Driver for Talkdesk on a Linux-based system
2. Follow the given instructions to create a new directory extract all the driver contents into it:
   1. Create a new directory named Talkdesk

      
      		mkdir Talkdesk
      		

   2. Move the downloaded driver file (.zip) into this new directory

      
      		mv TalkdeskJDBCDriver.zip Talkdesk/
      		

   3. Unzip the CData TalkdeskJDBCDriver contents into this new directory

      
      		unzip TalkdeskJDBCDriver.zip
      		

3. Open the Talkdesk directory and navigate to the lib folder

   
   ls
   cd lib/
   

4. Copy the contents of the lib folder of the CData JDBC Driver for Talkdesk into the lib folder of Kafka Connect JDBC. Check the Kafka Connect JDBC folder contents to confirm that the cdata.jdbc.talkdesk.jar file is successfully copied into the lib folder

   
   cp -r /path/to/CData JDBC Driver for Talkdesk/lib/* /usr/share/confluent-hub-components/confluentinc-kafka-connect-jdbc/lib/
   cd /usr/share/confluent-hub-components/confluentinc-kafka-connect-jdbc/lib/
   

5. Install the CData Talkdesk JDBC driver license using the given command, followed by your Name and Email ID

   
   	java -jar cdata.jdbc.talkdesk.jar -l
   	

6. Enter the product key or "TRIAL" (In the scenarios of license expiry, please contact our CData Support team)
7. Start the Confluent local services using the command:

   
   	confluent local services start
   	

   This starts all the Confluent Services like Zookeeper, Kafka, Schema Registry, Kafka REST, Kafka CONNECT, ksqlDB and Control Center. You are now ready to use the CData JDBC driver for Talkdesk to stream messages using Kafka Connect Driver into Kafka Topics on ksqlDB.

   
8. Create the Kafka topics manually using a POST HTTP API Request:

   
    curl --location 'server_address:8083/connectors' 
   	--header 'Content-Type: application/json'
   	--data '{ 
   		"name": "jdbc_source_cdata_talkdesk_01", 
   		"config": { 
   			"connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector", 
   			"connection.url": "jdbc:talkdesk:AccountName=myAccount;Region=US;OAuthClientId=myClientId;OAuthClientSecret=myClientSecret;",
   		"topic.prefix": "talkdesk-01-", 
   		"mode": "bulk" 
   		} 
   	}'
   

   Let us understand the fields used in the HTTP POST body (shown above):

   • connector.class: Specifies the Java class of the Kafka Connect connector to be used.
   • connection.url: The JDBC connection URL to connect with Talkdesk data.

     Built-in Connection String Designer

     For assistance in constructing the JDBC URL, use the connection string designer built into the CData JDBC Driver for Talkdesk. Either double-click the JAR file or execute the jar file from the command-line.

     
     		java -jar cdata.jdbc.talkdesk.jar
     		

     Fill in the connection properties and copy the connection string to the clipboard.

     Talkdesk uses the OAuth 2.0 Client Credentials grant. There is no browser-based authorization step and no callback URL.

     Set the following connection properties:

     • AccountName: The name of your Talkdesk account.
     • Region: The region where your Talkdesk instance is deployed. Supported values are US (default), EU, CA, AU, UK, and FedRamp.
     • OAuthClientId: The Client Id assigned when you registered your custom OAuth application.
     • OAuthClientSecret: The Client Secret assigned to your custom OAuth application.

     Creating a Custom OAuth Application

     1. Log in to your Talkdesk account and select OAuth Clients from the navigation menu.
     2. Click Create OAuth Client and give the client a descriptive name.
     3. Set Grant Type to Client Credentials.
     4. Click Add scopes and select the scopes for the data you want to access.
     5. Click Create and copy the Client Id and Client Secret.

     When you connect, the driver automatically requests an access token from Talkdesk, caches it, and refreshes it when it expires. Make sure the scopes selected for the application match the views you plan to query, or the token request can fail.

     
   • topic.prefix: A prefix that will be added to the Kafka topics created by the connector. It's set to "talkdesk-01-".
   • mode: Specifies the mode in which the connector operates. In this case, it's set to "bulk", which suggests that the connector is configured to perform bulk data transfer.

   This request adds all the tables/contents from Talkdesk as Kafka Topics.

   Note: The IP Address (server) to POST the request (shown above) is the Linux Network IP Address.

9. Run ksqlDB and list the topics. Use the commands:

   
   ksql
   list topics;
   

   
10. To view the data inside the topics, type the SQL Statement:

    
    PRINT topic FROM BEGINNING;
    

Connecting with the Confluent Control Center

To access the Confluent Control Center user interface, ensure to run the "confluent local services" as described in the above section and type http://<server address>:9021/clusters/ on your local browser.

Get Started Today

Download a free, 30-day trial of the CData JDBC Driver for Talkdesk and start streaming Talkdesk data into Apache Kafka. Reach out to our Support Team if you have any questions.