Apache Kafka

Apache Kafka is an open-source distributed event streaming platform used for building real-time data pipelines and streaming apps.

It is a publish-subscribe messaging system that provides a scalable and fault-tolerant way of handling high volumes of data.

SetUp Kafka:
  1. Download and install Apache Kafka: You can download the latest version of Apache Kafka from the official website (https://kafka.apache.org/downloads).
  2. Start a ZooKeeper server: ZooKeeper is a distributed coordination service that is used by Kafka to coordinate the activities of the brokers in a cluster. You can start a standalone ZooKeeper server using the command bin/zookeeper-server-start.sh config/zookeeper.properties.
  3. Start a Kafka broker: To start a Kafka broker, use the command bin/kafka-server-start.sh config/server.properties. By default, the broker will listen on port 9092.
  4. Create a topic: Topics are the core abstraction in Kafka. To create a topic, use the command bin/kafka-topics.sh --create --bootstrap-server localhost:9092 --replication-factor 1 --partitions 1 --topic topic-name.
  5. Start a producer: Producers are clients that write data to a topic. You can start a producer using the command bin/kafka-console-producer.sh --broker-list localhost:9092 --topic topic-name.
  6. Start a consumer: Consumers are clients that read data from a topic. You can start a consumer using the command bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic topic-name --from-beginning.

Kafka Components

The components of Kafka are:

  1. Topics: A stream of records, logically grouped by the topic. Each topic is split into partitions.
  2. Partitions: A partition is an ordered, immutable sequence of records that is split across multiple servers for scalability.
  3. Producers: Producers are clients that write data to a topic.
  4. Consumers: Consumers are clients that read data from a topic.
  5. Brokers: Brokers are the nodes in a Kafka cluster that receive data from producers and serve data to consumers.

example of how to produce and consume records in Java:
  1. Producing the records

2. Consuming the Record:

go to next tutorial for complete example of java-maven-kafka implementation

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