Use the default endpoint to send and subscribe to messages

import java.util.ArrayList;
import java.util.List;
import java.util.Properties;

import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.clients.producer.ProducerConfig;

public class KafkaConsumerDemo {

    public static void main(String args[]) {
        // Load the kafka.properties file.
        Properties kafkaProperties =  JavaKafkaConfigurer.getKafkaProperties();

        Properties props = new Properties();
        // Specify the endpoint. We recommend that you obtain the endpoint of the topic from the Message Queue for Apache Kafka console.
        props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, kafkaProperties.getProperty("bootstrap.servers"));
        // Specify the maximum interval between two polling cycles.
        // The default value is 30s. If the consumer does not return a heartbeat message within the interval, the broker determines that the consumer is not alive. The broker removes the consumer from the consumer group and triggers rebalancing.
        props.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, 30000);
        // Specify the maximum number of messages that can be polled at a time.
        // Do not set this parameter to an excessively large value. If polled messages are not all consumed before the next poll starts, load balancing is triggered and performance may deteriorate.
        props.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, 30);
        // Specify the method for deserializing messages.
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");
        // Specify the consumer group of the current consumer instance. You must create the consumer group in the Message Queue for Apache Kafka console.
        // The instances in a consumer group consume messages in load balancing mode.
        props.put(ConsumerConfig.GROUP_ID_CONFIG, kafkaProperties.getProperty("group.id"));
        // Construct a message object, which is a consumer instance.
        KafkaConsumer<String, String> consumer = new org.apache.kafka.clients.consumer.KafkaConsumer<String, String>(props);
        // Set one or more topics to which the consumer group subscribes.
        // We recommend that you configure consumer instances with the same GROUP_ID_CONFIG value to subscribe to the same topics.
        List<String> subscribedTopics =  new ArrayList<String>();
        // If you want to subscribe to multiple topics, add the topics here.
        // You must create the topics in the Message Queue for Apache Kafka console in advance.
        String topicStr = kafkaProperties.getProperty("topic");
        String[] topics = topicStr.split(",");
        for (String topic: topics) {
            subscribedTopics.add(topic.trim());
        }
        consumer.subscribe(subscribedTopics);

        // Consume messages in a loop.
        while (true){
            try {
                ConsumerRecords<String, String> records = consumer.poll(1000);
                // All messages must be consumed before the next polling cycle starts. The total duration cannot exceed the timeout interval specified by SESSION_TIMEOUT_MS_CONFIG.
                // We recommend that you create a separate thread pool to consume messages and then asynchronously return the results.
                for (ConsumerRecord<String, String> record : records) {
                    System.out.println(String.format("Consume partition:%d offset:%d", record.partition(), record.offset()));
                }
            } catch (Exception e) {
                try {
                    Thread.sleep(1000);
                } catch (Throwable ignore) {

                }
                e.printStackTrace();
            }
        }
    }
}

import java.util.ArrayList;
import java.util.List;
import java.util.Properties;
import java.util.concurrent.atomic.AtomicBoolean;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.common.errors.WakeupException;

/**
 * This tutorial demonstrates how to enable multiple consumers to simultaneously consume messages of the same topic in one process.
 * Ensure that the total number of consumers in the environment does not exceed the number of partitions of the topics to which the consumers are subscribed.
 */
public class KafkaMultiConsumerDemo {

    public static void main(String args[]) throws InterruptedException {
        // Load the kafka.properties file.
        Properties kafkaProperties = JavaKafkaConfigurer.getKafkaProperties();

        Properties props = new Properties();
        // Specify the endpoint. We recommend that you obtain the endpoint of the topic from the Message Queue for Apache Kafka console.
        props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, kafkaProperties.getProperty("bootstrap.servers"));
        // Specify the maximum interval between two polling cycles.
        // The default value is 30s. If the consumer does not return a heartbeat message within the interval, the broker determines that the consumer is not alive. The broker removes the consumer from the consumer group and triggers rebalancing.
        props.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, 30000);
        // Specify the maximum number of messages that can be polled at a time.
        // Do not set this parameter to an excessively large value. If polled messages are not all consumed before the next poll starts, load balancing is triggered and performance may deteriorate.
        props.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, 30);
        // Specify the method for deserializing messages.
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");
        // Specify the consumer group of the current consumer instance. You must create the consumer group in the Message Queue for Apache Kafka console.
        // The instances in a consumer group consume messages in load balancing mode.
        props.put(ConsumerConfig.GROUP_ID_CONFIG, kafkaProperties.getProperty("group.id"));

        int consumerNum = 2;
        Thread[] consumerThreads = new Thread[consumerNum];
        for (int i = 0; i < consumerNum; i++) {
            KafkaConsumer<String, String> consumer = new KafkaConsumer<String, String>(props);

            List<String> subscribedTopics = new ArrayList<String>();
            subscribedTopics.add(kafkaProperties.getProperty("topic"));
            consumer.subscribe(subscribedTopics);

            KafkaConsumerRunner kafkaConsumerRunner = new KafkaConsumerRunner(consumer);
            consumerThreads[i] = new Thread(kafkaConsumerRunner);
        }

        for (int i = 0; i < consumerNum; i++) {
            consumerThreads[i].start();
        }

        for (int i = 0; i < consumerNum; i++) {
            consumerThreads[i].join();
        }
    }

    static class KafkaConsumerRunner implements Runnable {
        private final AtomicBoolean closed = new AtomicBoolean(false);
        private final KafkaConsumer consumer;

        KafkaConsumerRunner(KafkaConsumer consumer) {
            this.consumer = consumer;
        }

        @Override
        public void run() {
            try {
                while (! closed.get()) {
                    try {
                        ConsumerRecords<String, String> records = consumer.poll(1000);
                        // All messages must be consumed before the next polling cycle starts. The total duration cannot exceed the timeout interval specified by SESSION_TIMEOUT_MS_CONFIG.
                        for (ConsumerRecord<String, String> record : records) {
                            System.out.println(String.format("Thread:%s Consume partition:%d offset:%d", Thread.currentThread().getName(), record.partition(), record.offset()));
                        }
                    } catch (Exception e) {
                        try {
                            Thread.sleep(1000);
                        } catch (Throwable ignore) {

                        }
                        e.printStackTrace();
                    }
                }
            } catch (WakeupException e) {
                // If the consumer is shut down, ignore exceptions.
                if (! closed.get()) {
                    throw e;
                }
            } finally {
                consumer.close();
            }
        }
        // Implement a shutdown hook that can be called by another thread.
        public void shutdown() {
            closed.set(true);
            consumer.wakeup();
        }
    }
}