Kafka Architecture

Kafka is a distributed event streaming platform consisting of several components that work together to provide fault tolerance, scalability, and durability.

Components of a Kafka Cluster

1. Brokers

A Kafka cluster consists of one or more brokers. Each broker is a server responsible for handling the storage, replication, and communication of data. Brokers receive messages from producers, store them, and deliver them to consumers. In a production environment, multiple brokers are used to achieve fault tolerance and scalability.

1KafkaBroker broker1 = new KafkaBroker(1, "localhost", 9092);
2KafkaBroker broker2 = new KafkaBroker(2, "localhost", 9093);
3KafkaBroker broker3 = new KafkaBroker(3, "localhost", 9094);
4
5KafkaCluster cluster = new KafkaCluster();
6cluster.addBroker(broker1);
7cluster.addBroker(broker2);
8cluster.addBroker(broker3);
9
10cluster.printClusterInfo();

2. Topics

Topics are categories or streams of records in Kafka. Each topic can have one or more partitions to allow for parallel processing and scalability. The messages published by producers are stored in the partitions of the corresponding topic. Topics can have different replication factors to ensure data durability and availability.

1KafkaTopic topic1 = new KafkaTopic("topic-1", 3);
2KafkaTopic topic2 = new KafkaTopic("topic-2", 2);
3
4KafkaCluster cluster = new KafkaCluster();
5cluster.addTopic(topic1);
6cluster.addTopic(topic2);
7
8cluster.printClusterInfo();

Summary

In Kafka's architecture, brokers and topics are the key components. Brokers handle the storage, replication, and communication of data, while topics categorize and organize streams of records. Understanding the relationship between these components is crucial for effectively using Kafka in a distributed environment.

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}

import java.util.ArrayList;

import java.util.List;

​

public class KafkaCluster {

  private List<KafkaBroker> brokers;

  private List<KafkaTopic> topics;

​

  public KafkaCluster() {

    brokers = new ArrayList<>();

    topics = new ArrayList<>();

  }

​

  public void addBroker(KafkaBroker broker) {

    brokers.add(broker);

  }

​

  public void addTopic(KafkaTopic topic) {

    topics.add(topic);

  }

​

  public void printClusterInfo() {

    System.out.println("Kafka Cluster Info:");

    for (KafkaBroker broker : brokers) {

      System.out.println("Broker ID: " + broker.getId() + ", Host: " + broker.getHost() + ", Port: " + broker.getPort());

    }

    for (KafkaTopic topic : topics) {

      System.out.println("Topic Name: " + topic.getName() + ", Partitions: " + topic.getPartitionCount());

    }

  }