Stream Wave Financial 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 Wave Financial, Kafka can work with live Wave Financial data. This article describes how to connect, access and stream Wave Financial data into Apache Kafka Topics and to start Confluent Control Center to help users secure, manage, and monitor the Wave Financial 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 Wave Financial data. When you issue complex SQL queries to Wave Financial, the driver pushes supported SQL operations, like filters and aggregations, directly to Wave Financial 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 Wave Financial data using native data types.

Prerequisites

Before connecting the CData JDBC Driver for streaming Wave Financial 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 Wave Financial data

1. Download CData JDBC Driver for Wave Financial 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 Wave Financial

      		mkdir WaveFinancial
      		

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

      		mv WaveFinancialJDBCDriver.zip WaveFinancial/
      		

   3. Unzip the CData WaveFinancialJDBCDriver contents into this new directory

      		unzip WaveFinancialJDBCDriver.zip
      		

3. Open the Wave Financial directory and navigate to the lib folder

   ls
   cd lib/
   

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

   cp -r /path/to/CData JDBC Driver for Wave Financial/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 Wave Financial JDBC driver license using the given command, followed by your Name and Email ID

   	java -jar cdata.jdbc.wavefinancial.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 Wave Financial to stream messages using Kafka Connect Driver into Kafka Topics on ksqlDB.

   👁 Start the Confluent local services
   
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_wavefinancial_01", 
   		"config": { 
   			"connector.class": "io.confluent.connect.jdbc.JdbcSourceConnector", 
   			"connection.url": "jdbc:wavefinancial:InitiateOAuth=GETANDREFRESH;",
   		"topic.prefix": "wavefinancial-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 Wave Financial 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 Wave Financial. Either double-click the JAR file or execute the jar file from the command-line.

     		java -jar cdata.jdbc.wavefinancial.jar
     		

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

     Connect using the API Token

     You can connect to Wave Financial by specifying the APIToken You can obtain an API Token using the following steps:

     1. Log in to your Wave account and navigate to "Manage Applications" in the left pane.
     2. Select the application that you would like to create a token for. You may need to create an application first.
     3. Click the "Create token" button to generate an APIToken.

     Connect using OAuth

     If you wish, you can connect using the embedded OAuth credentials. See the Help documentation for more information.

     👁 Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)
     
   • topic.prefix: A prefix that will be added to the Kafka topics created by the connector. It's set to "wavefinancial-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 Wave Financial 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;
   

   👁 List the Kafka Topics (BigCommerce is shown)
   
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 Wave Financial and start streaming Wave Financial data into Apache Kafka. Reach out to our Support Team if you have any questions.