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Kafka stands out for its ability to handle high throughput and provide scalability, fault tolerance, and message retention. These features make Kafka ideal for a notification system where reliability and real-time processing are crucial.
To send a Kafka message, you call the SendKafkaMessage function and pass the Kafka data source, the name of the Kafka topic, the key of the Kafka message, the value of the message itself, and any additional Kafka properties as required.
Option 1: Apache Kafka Step 1: Download Apache Kafka. Download the compressed TAR archive file. Step 2: Start Zookeeper and Kafka Services. Open 3 terminal instances and run each of the commands in separate terminal instances. Step 3: Create a Topic with Apache Kafka. Step 4: Publish and Consume Events with Apache Kafka.
For sending the message, we have to connect the Kafka with our application and for that, we have to create a Producer class. And for that we will create a Maven Project with version 17. Now after creating a application we will add the dependencies of Kafka and the dependency for logging the log of connections.
How to Produce a Message into a Kafka Topic using the CLI? Find your Kafka hostname and port e.g., localhost:9092. If Kafka v2. 5+, use the --bootstrap-server option. If older version of Kafka, use the --broker-list option. Provide the mandatory parameters: topic name. Use the kafka-console-producer.sh CLI as outlined below.
The notification email service consumes email requests from the Kafka notification topic and processes them to send them to a third-party service. Modules like PT, TL, PGR etc make use of this service to send messages through the Kafka Queue.
How to Produce a Message into a Kafka Topic using the CLI? Find your Kafka hostname and port e.g., localhost:9092. If Kafka v2. 5+, use the --bootstrap-server option. If older version of Kafka, use the --broker-list option. Provide the mandatory parameters: topic name. Use the kafka-console-producer.sh CLI as outlined below.
Kafka can not push notifications to consumers. Consumers have to keep polling/consuming messages in order to receive them. This is the only way messages stored in Kafka can flow to consumers. The Consumer Design section in the Apache Kafka documentation explains why "consumer pulling" was choosed over "broker pushing".