java - Kafka Java 消费者仅适用于本地主机，无法用于远程服务器

Question

我使用Kafka已经两个月了，我使用这段代码在本地消费消息。我最近决定分发 Zookeeper 和 Kafka，一切似乎都运行良好。当我尝试从远程 IP 使用消费者代码时，我的问题就开始了；一旦我将 seeds.add("127.0.0.1"); 更改为 seeds.add("104.131.40.xxx"); 我收到此错误消息:

run:
Error communicating with Broker [104.131.40.xxx] to find Leader for [temperature, 0] Reason:
java.net.ConnectException: Connection refused Can't find metadata for Topic and Partition. Exiting
BUILD SUCCESSFUL (total time: 21 seconds)r code here

这是我目前使用的代码:

/*
Kafka API consumer reads 10 readings  from the "temperature" topic
 */

package simpleexample;

import kafka.api.FetchRequest;
import kafka.api.FetchRequestBuilder;
import kafka.api.PartitionOffsetRequestInfo;
import kafka.common.ErrorMapping;
import kafka.common.TopicAndPartition;
import kafka.javaapi.*;
import kafka.javaapi.consumer.SimpleConsumer;
import kafka.message.MessageAndOffset;

import java.nio.ByteBuffer;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

public class SimpleExample {
public static void main(String args[]) {
    SimpleExample example = new SimpleExample();
    //long maxReads = Long.parseLong(args[0]);
    long maxReads = 10;
    //String topic = args[1];
    String topic = "temperature";
    //int partition = Integer.parseInt(args[2]);
    int partition =0;
    List<String> seeds = new ArrayList<String>();
    //seeds.add(args[3]);
    seeds.add("104.131.40.xxx");
    //int port = Integer.parseInt(args[4]);
    int port =9092;
    try {
        example.run(maxReads, topic, partition, seeds, port);
    } catch (Exception e) {
        System.out.println("Oops:" + e);
         e.printStackTrace();
    }
}

private List<String> m_replicaBrokers = new ArrayList<String>();

public SimpleExample() {
    m_replicaBrokers = new ArrayList<String>();
}

public void run(long a_maxReads, String a_topic, int a_partition, List<String> a_seedBrokers, int a_port) throws Exception {
    // find the meta data about the topic and partition we are interested in
    //
    PartitionMetadata metadata = findLeader(a_seedBrokers, a_port, a_topic, a_partition);
    if (metadata == null) {
        System.out.println("Can't find metadata for Topic and Partition. Exiting");
        return;
    }
    if (metadata.leader() == null) {
        System.out.println("Can't find Leader for Topic and Partition. Exiting");
        return;
    }
    String leadBroker = metadata.leader().host();
    String clientName = "Client_" + a_topic + "_" + a_partition;

    SimpleConsumer consumer = new SimpleConsumer(leadBroker, a_port, 100000, 64 * 1024, clientName);
    long readOffset = getLastOffset(consumer,a_topic, a_partition, kafka.api.OffsetRequest.EarliestTime(), clientName);

    int numErrors = 0;
    while (a_maxReads > 0) {
        if (consumer == null) {
            consumer = new SimpleConsumer(leadBroker, a_port, 100000, 64 * 1024, clientName);
        }
        FetchRequest req = new FetchRequestBuilder()
                .clientId(clientName)
                .addFetch(a_topic, a_partition, readOffset, 100000) // Note: this fetchSize of 100000 might need to be increased if large batches are written to Kafka
                .build();
        FetchResponse fetchResponse = consumer.fetch(req);

        if (fetchResponse.hasError()) {
            numErrors++;
            // Something went wrong!
            short code = fetchResponse.errorCode(a_topic, a_partition);
            System.out.println("Error fetching data from the Broker:" + leadBroker + " Reason: " + code);
            if (numErrors > 5) break;
            if (code == ErrorMapping.OffsetOutOfRangeCode())  {
                // We asked for an invalid offset. For simple case ask for the last element to reset
                readOffset = getLastOffset(consumer,a_topic, a_partition, kafka.api.OffsetRequest.LatestTime(), clientName);
                continue;
            }
            consumer.close();
            consumer = null;
            leadBroker = findNewLeader(leadBroker, a_topic, a_partition, a_port);
            continue;
        }
        numErrors = 0;

        long numRead = 0;
        for (MessageAndOffset messageAndOffset : fetchResponse.messageSet(a_topic, a_partition)) {
            long currentOffset = messageAndOffset.offset();
            if (currentOffset < readOffset) {
                System.out.println("Found an old offset: " + currentOffset + " Expecting: " + readOffset);
                continue;
            }
            readOffset = messageAndOffset.nextOffset();
            ByteBuffer payload = messageAndOffset.message().payload();

            byte[] bytes = new byte[payload.limit()];
            payload.get(bytes);
            System.out.println(String.valueOf(messageAndOffset.offset()) + ": " + new String(bytes, "UTF-8"));
            numRead++;
            a_maxReads--;
        }

        if (numRead == 0) {
            try {
                Thread.sleep(1000);
            } catch (InterruptedException ie) {
            }
        }
    }
    if (consumer != null) consumer.close();
}

public static long getLastOffset(SimpleConsumer consumer, String topic, int partition,
                                 long whichTime, String clientName) {
    TopicAndPartition topicAndPartition = new TopicAndPartition(topic, partition);
    Map<TopicAndPartition, PartitionOffsetRequestInfo> requestInfo = new HashMap<TopicAndPartition, PartitionOffsetRequestInfo>();
    requestInfo.put(topicAndPartition, new PartitionOffsetRequestInfo(whichTime, 1));
    kafka.javaapi.OffsetRequest request = new kafka.javaapi.OffsetRequest(
            requestInfo, kafka.api.OffsetRequest.CurrentVersion(), clientName);
    OffsetResponse response = consumer.getOffsetsBefore(request);

    if (response.hasError()) {
        System.out.println("Error fetching data Offset Data the Broker. Reason: " + response.errorCode(topic, partition) );
        return 0;
    }
    long[] offsets = response.offsets(topic, partition);
    return offsets[0];
}

private String findNewLeader(String a_oldLeader, String a_topic, int a_partition, int a_port) throws Exception {
    for (int i = 0; i < 3; i++) {
        boolean goToSleep = false;
        PartitionMetadata metadata = findLeader(m_replicaBrokers, a_port, a_topic, a_partition);
        if (metadata == null) {
            goToSleep = true;
        } else if (metadata.leader() == null) {
            goToSleep = true;
        } else if (a_oldLeader.equalsIgnoreCase(metadata.leader().host()) && i == 0) {
            // first time through if the leader hasn't changed give ZooKeeper a second to recover
            // second time, assume the broker did recover before failover, or it was a non-Broker issue
            //
            goToSleep = true;
        } else {
            return metadata.leader().host();
        }
        if (goToSleep) {
            try {
                Thread.sleep(1000);
            } catch (InterruptedException ie) {
            }
        }
    }
    System.out.println("Unable to find new leader after Broker failure. Exiting");
    throw new Exception("Unable to find new leader after Broker failure. Exiting");
}

private PartitionMetadata findLeader(List<String> a_seedBrokers, int a_port, String a_topic, int a_partition) {
    PartitionMetadata returnMetaData = null;
    loop:
    for (String seed : a_seedBrokers) {
        SimpleConsumer consumer = null;
        try {
            consumer = new SimpleConsumer(seed, a_port, 100000, 64 * 1024, "leaderLookup");
            List<String> topics = Collections.singletonList(a_topic);
            TopicMetadataRequest req = new TopicMetadataRequest(topics);
            kafka.javaapi.TopicMetadataResponse resp = consumer.send(req);

            List<TopicMetadata> metaData = resp.topicsMetadata();
            for (TopicMetadata item : metaData) {
                for (PartitionMetadata part : item.partitionsMetadata()) {
                    if (part.partitionId() == a_partition) {
                        returnMetaData = part;
                        break loop;
                    }
                }
            }
        } catch (Exception e) {
            System.out.println("Error communicating with Broker [" + seed + "] to find Leader for [" + a_topic
                    + ", " + a_partition + "] Reason: " + e);
        } finally {
            if (consumer != null) consumer.close();
        }
    }
    if (returnMetaData != null) {
        m_replicaBrokers.clear();
        for (kafka.cluster.Broker replica : returnMetaData.replicas()) {
            m_replicaBrokers.add(replica.host());
        }
    }
    return returnMetaData;
}
}

Answer 1

您需要在kafka server.properties 配置文件中设置advertised.host.name 而不是host.name。