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Why are Replications critical in Kafka?

Deepika Sahu answered on December 17, 2022 Popularity 2/10 Helpfulness 1/10

answer Why are Replications critical in Kafka?

related In Kafka, why are replications critical?

Why are Replications critical in Kafka?

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Replication ensures that published messages are not lost and can be consumed in the event of any machine error, program error or frequent software upgrades.

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Contributed on Dec 17 2022

Deepika Sahu

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In Kafka, why are replications critical?

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Replications are critical as they ensure published messages can be consumed in the event of any program error or machine error and are not lost.

@EnableIntegration
@SpringBootApplication
public class DemoApplication {

  public static final String TEST_TOPIC_ID = "event-stream";

  @Component
  public static class KafkaConfig {

    @Value("${kafka.topic:" + TEST_TOPIC_ID + "}")
    private String topic;

    @Value("${kafka.address:localhost:9092}")
    private String brokerAddress;

    @Value("${zookeeper.address:localhost:2181}")
    private String zookeeperAddress;

    KafkaConfig() {
    }

    public KafkaConfig(String t, String b, String zk) {
        this.topic = t;
        this.brokerAddress = b;
        this.zookeeperAddress = zk;
    }

    public String getTopic() {
        return topic;
    }

    public String getBrokerAddress() {
        return brokerAddress;
    }

    public String getZookeeperAddress() {
        return zookeeperAddress;
    }
  }

  @Configuration
  public static class ProducerConfiguration {

    @Autowired
    private KafkaConfig kafkaConfig;

    private static final String OUTBOUND_ID = "outbound";

    private Log log = LogFactory.getLog(getClass());

    @Bean
    @DependsOn(OUTBOUND_ID)
    CommandLineRunner kickOff( 
           @Qualifier(OUTBOUND_ID + ".input") MessageChannel in) {
        return args -> {
            for (int i = 0; i < 1000; i++) {
                in.send(new GenericMessage<>("#" + i));
                log.info("sending message #" + i);
            }
        };
    }

    @Bean(name = OUTBOUND_ID)
    IntegrationFlow producer() {

      log.info("starting producer flow..");
      return flowDefinition -> {

        Consumer<KafkaProducerMessageHandlerSpec.ProducerMetadataSpec> spec =
          (KafkaProducerMessageHandlerSpec.ProducerMetadataSpec metadata)->
            metadata.async(true)
              .batchNumMessages(10)
              .valueClassType(String.class)
              .<String>valueEncoder(String::getBytes);

        KafkaProducerMessageHandlerSpec messageHandlerSpec =
          Kafka.outboundChannelAdapter(
               props -> props.put("queue.buffering.max.ms", "15000"))
            .messageKey(m -> m.getHeaders().get(IntegrationMessageHeaderAccessor.SEQUENCE_NUMBER))
            .addProducer(this.kafkaConfig.getTopic(), 
                this.kafkaConfig.getBrokerAddress(), spec);
        flowDefinition
            .handle(messageHandlerSpec);
      };
    }
  }

  @Configuration
  public static class ConsumerConfiguration {

    @Autowired
    private KafkaConfig kafkaConfig;

    private Log log = LogFactory.getLog(getClass());

    @Bean
    IntegrationFlow consumer() {

      log.info("starting consumer..");

      KafkaHighLevelConsumerMessageSourceSpec messageSourceSpec = Kafka.inboundChannelAdapter(
          new ZookeeperConnect(this.kafkaConfig.getZookeeperAddress()))
            .consumerProperties(props ->
                props.put("auto.offset.reset", "smallest")
                     .put("auto.commit.interval.ms", "100"))
            .addConsumer("myGroup", metadata -> metadata.consumerTimeout(100)
              .topicStreamMap(m -> m.put(this.kafkaConfig.getTopic(), 1))
              .maxMessages(10)
              .valueDecoder(String::new));

      Consumer<SourcePollingChannelAdapterSpec> endpointConfigurer = e -> e.poller(p -> p.fixedDelay(100));

      return IntegrationFlows
        .from(messageSourceSpec, endpointConfigurer)
        .<Map<String, List<String>>>handle((payload, headers) -> {
            payload.entrySet().forEach(e -> log.info(e.getKey() + '=' + e.getValue()));
            return null;
        })
        .get();
    }
  }

  public static void main(String[] args) {
      SpringApplication.run(DemoApplication.class, args);
  }
}

https://developer.confluent.io/learn-kafka/architecture/data-replication/#:~:text=Data%20replication%20is%20a%20critical,provide%20high%20durability%20and%20availability.

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Source: Grepper

Tags: java

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Contributed on Feb 06 2023

Pragya Keshap

0 Answers Avg Quality 2/10

Why are Replications critical in Kafka?

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