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更新时间：2023-08-29 GMT+08:00

DMS for Kafka消费者poll的优化

场景介绍

在DMS for Kafka提供的原生Kafka SDK中，消费者可以自定义拉取消息的时长，如果需要长时间的拉取消息，只需要把poll(long)方法的参数设置合适的值即可。但是这样的长连接可能会对客户端和服务端造成一定的压力，特别是分区数较多且每个消费者开启多个线程的情况下。

如图1所示，Topic含有多个分区，消费组中有多个消费者同时进行消费，每个线程均为长连接。当Topic中消息较少或者没有时，连接不断开，所有消费者不间断地拉取消息，这样造成了一定的资源浪费。

图1 Kafka消费者多线程消费模式
点击放大

优化方案

在开了多个线程同时访问的情况下，如果Topic里已经没有消息了，其实不需要所有的线程都在poll，只需要有一个线程poll各分区的消息就足够了，当在polling的线程发现Topic中有消息，可以唤醒其他线程一起消费消息，以达到快速响应的目的。如图2所示。

这种方案适用于对消费消息的实时性要求不高的应用场景。如果要求准实时消费消息，则建议保持所有消费者处于活跃状态。

图2 优化后的多线程消费方案
点击放大

消费者（Consumer）和消息分区（Partition）并不强制数量相等，Kafka的poll(long)方法帮助实现获取消息、分区平衡、消费者与Kafka broker节点间的心跳检测等功能。

因此在对消费消息的实时性要求不高场景下，当消息数量不多的时候，可以选择让一部分消费者处于wait状态。

代码示例

以下仅贴出与消费者线程唤醒与睡眠相关代码，如需运行整个demo，请先下载完整的代码示例包，同时参考开发指南进行部署和运行。

消费消息代码示例如下：

package com.huawei.dms.kafka;

import java.io.IOException;
import java.util.Arrays;
import java.util.Collection;
import java.util.Iterator;
import java.util.Properties;

import org.apache.kafka.clients.consumer.ConsumerRebalanceListener;
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.common.TopicPartition;
import org.apache.log4j.Logger;

public class DmsKafkaConsumeDemo
{
    private static Logger logger = Logger.getLogger(DmsKafkaProduceDemo.class);

    public static void WorkerFunc(int workerId, KafkaConsumer<String, String> kafkaConsumer) throws IOException
    {
        Properties consumerConfig = Config.getConsumerConfig();
        RecordReceiver receiver = new RecordReceiver(workerId, kafkaConsumer, consumerConfig.getProperty("topic"));
        while (true)
        {
            ConsumerRecords<String, String> records = receiver.receiveMessage();
            Iterator<ConsumerRecord<String, String>> iter = records.iterator();
            while (iter.hasNext())
            {
                ConsumerRecord<String, String> cr = iter.next();
                System.out.println("Thread" + workerId + " recievedrecords" + cr.value());
                logger.info("Thread" + workerId + " recievedrecords" + cr.value());

            }

        }
    }

    public static KafkaConsumer<String, String> getConsumer() throws IOException
    {
        Properties consumerConfig = Config.getConsumerConfig();

        consumerConfig.put("ssl.truststore.location", Config.getTrustStorePath());
        System.setProperty("java.security.auth.login.config", Config.getSaslConfig());

        KafkaConsumer<String, String> kafkaConsumer = new KafkaConsumer<>(consumerConfig);
        kafkaConsumer.subscribe(Arrays.asList(consumerConfig.getProperty("topic")),
                new ConsumerRebalanceListener()
                {
                    @Override
                    public void onPartitionsRevoked(Collection<TopicPartition> arg0)
                    {

                    }

                    @Override
                    public void onPartitionsAssigned(Collection<TopicPartition> tps)
                    {

                    }
                });
        return kafkaConsumer;
    }

    public static void main(String[] args) throws IOException
    {

        //创建当前消费组的consumer
        final KafkaConsumer<String, String> consumer1 = getConsumer();
        Thread thread1 = new Thread(new Runnable()
        {
            public void run()
            {
                try
                {
                    WorkerFunc(1, consumer1);
                }
                catch (IOException e)
                {
                    // TODO Auto-generated catch block
                    e.printStackTrace();
                }
            }
        });
        final KafkaConsumer<String, String> consumer2 = getConsumer();

        Thread thread2 = new Thread(new Runnable()
        {
            public void run()
            {
                try
                {
                    WorkerFunc(2, consumer2);
                }
                catch (IOException e)
                {
                    // TODO Auto-generated catch block
                    e.printStackTrace();
                }
            }
        });
        final KafkaConsumer<String, String> consumer3 = getConsumer();

        Thread thread3 = new Thread(new Runnable()
        {
            public void run()
            {
                try
                {
                    WorkerFunc(3, consumer3);
                }
                catch (IOException e)
                {
                    // TODO Auto-generated catch block
                    e.printStackTrace();
                }
            }
        });

        //启动线程
        thread1.start();
        thread2.start();
        thread3.start();

        try
        {
            Thread.sleep(5000);
        }
        catch (InterruptedException e)
        {
            e.printStackTrace();
        }
        //线程加入
        try
        {
            thread1.join();
            thread2.join();
            thread3.join();
        }
        catch (InterruptedException e)
        {
            e.printStackTrace();
        }
    }
}

消费者线程管理示例代码

示例仅提供简单的设计思路，开发者可结合实际场景优化线程休眠和唤醒机制。

package com.huawei.dms.kafka;

import java.util.HashMap;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;

import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;

import org.apache.log4j.Logger;

public class RecordReceiver
{
    private static Logger logger = Logger.getLogger(DmsKafkaProduceDemo.class);
    
    //polling的间隔时间
    public static final int WAIT_SECONDS = 10 * 1000;

    protected static final Map<String, Object> sLockObjMap = new HashMap<String, Object>();

    protected static Map<String, Boolean> sPollingMap = new ConcurrentHashMap<String, Boolean>();

    protected Object lockObj;

    protected String topicName;

    protected KafkaConsumer<String, String> kafkaConsumer;

    protected int workerId;

    public RecordReceiver(int id, KafkaConsumer<String, String> kafkaConsumer, String queue)
    {
        this.kafkaConsumer = kafkaConsumer;
        this.topicName = queue;
        this.workerId = id;

        synchronized (sLockObjMap)
        {
            lockObj = sLockObjMap.get(topicName);
            if (lockObj == null)
            {
                lockObj = new Object();
                sLockObjMap.put(topicName, lockObj);
            }
        }
    }

    public boolean setPolling()
    {
        synchronized (lockObj)
        {
            Boolean ret = sPollingMap.get(topicName);
            if (ret == null || !ret)
            {
                sPollingMap.put(topicName, true);
                return true;
            }
            return false;
        }
    }

    //唤醒全部线程
    public void clearPolling()
    {
        synchronized (lockObj)
        {
            sPollingMap.put(topicName, false);
            lockObj.notifyAll();
            System.out.println("Everyone WakeUp and Work!");
            logger.info("Everyone WakeUp and Work!");
        }
    }

    public ConsumerRecords<String, String> receiveMessage()
    {
        boolean polling = false;
        while (true)
        {
            //检查线程的poll状态，必要时休眠
            synchronized (lockObj)
            {
                Boolean p = sPollingMap.get(topicName);
                if (p != null && p)
                {
                    try
                    {
                        System.out.println("Thread" + workerId + " Have a nice sleep!");
                        logger.info("Thread" + workerId +" Have a nice sleep!");
                        polling = false;
                        lockObj.wait();
                    }
                    catch (InterruptedException e)
                    {
                        System.out.println("MessageReceiver Interrupted! topicName is " + topicName);
                        logger.error("MessageReceiver Interrupted! topicName is "+topicName);

                        return null;
                    }
                }
            }

            //开始消费，必要时唤醒其他线程消费
            try
            {
                ConsumerRecords<String, String> Records = null;
                if (!polling)
                {
                    Records = kafkaConsumer.poll(100);                    
                    if (Records.count() == 0)
                    {
                        polling = true;
                        continue;
                    }
                }
                else
                {
                    if (setPolling())
                    {
                        System.out.println("Thread" + workerId + " Polling!");
                        logger.info("Thread " + workerId + " Polling!");
                    }
                    else
                    {
                        continue;
                    }
                    do
                    {
                        System.out.println("Thread" + workerId + " KEEP Poll records!");
                        logger.info("Thread" + workerId + " KEEP Poll records!");
                        try
                        {
                            Records = kafkaConsumer.poll(WAIT_SECONDS);
                        }
                        catch (Exception e)
                        {
                            System.out.println("Exception Happened when polling records: " + e);
                            logger.error("Exception Happened when polling records: " + e);

                        }
                    } while (Records.count()==0);
                    clearPolling();
                }
                //消息确认
                kafkaConsumer.commitSync();
                return Records;
            }
            catch (Exception e)
            {
                System.out.println("Exception Happened when poll records: " + e);
                logger.error("Exception Happened when poll records: " + e);
            }
        }
    }
}

topicName配置为Topic名称。

示例代码运行结果

[2018-01-25 22:40:51,841] INFO Thread 2 Polling! (com.huawei.dms.kafka.DmsKafkaProduceDemo:119)
[2018-01-25 22:40:51,841] INFO Thread2 KEEP Poll records! (com.huawei.dms.kafka.DmsKafkaProduceDemo:128)
[2018-01-25 22:40:52,122] INFO Everyone WakeUp and Work! (com.huawei.dms.kafka.DmsKafkaProduceDemo:69)
[2018-01-25 22:40:52,169] INFO Thread2 recievedrecordshello, dms kafka. (com.huawei.dms.kafka.DmsKafkaProduceDemo:32)
[2018-01-25 22:40:52,169] INFO Thread2 recievedrecordshello, dms kafka. (com.huawei.dms.kafka.DmsKafkaProduceDemo:32)
[2018-01-25 22:40:52,216] INFO Thread2 recievedrecordshello, dms kafka. (com.huawei.dms.kafka.DmsKafkaProduceDemo:32)
[2018-01-25 22:40:52,325] INFO Thread 2 Polling! (com.huawei.dms.kafka.DmsKafkaProduceDemo:119)
[2018-01-25 22:40:52,325] INFO Thread2 KEEP Poll records! (com.huawei.dms.kafka.DmsKafkaProduceDemo:128)
[2018-01-25 22:40:54,947] INFO Thread1 Have a nice sleep! (com.huawei.dms.kafka.DmsKafkaProduceDemo:87)
[2018-01-25 22:40:54,979] INFO Thread3 Have a nice sleep! (com.huawei.dms.kafka.DmsKafkaProduceDemo:87)
[2018-01-25 22:41:32,347] INFO Thread2 KEEP Poll records! (com.huawei.dms.kafka.DmsKafkaProduceDemo:128)
[2018-01-25 22:41:42,353] INFO Thread2 KEEP Poll records! (com.huawei.dms.kafka.DmsKafkaProduceDemo:128)
[2018-01-25 22:41:47,816] INFO Everyone WakeUp and Work! (com.huawei.dms.kafka.DmsKafkaProduceDemo:69)
[2018-01-25 22:41:47,847] INFO Thread2 recievedrecordshello, dms kafka. (com.huawei.dms.kafka.DmsKafkaProduceDemo:32)
[2018-01-25 22:41:47,925] INFO Thread 3 Polling! (com.huawei.dms.kafka.DmsKafkaProduceDemo:119)
[2018-01-25 22:41:47,925] INFO Thread1 Have a nice sleep! (com.huawei.dms.kafka.DmsKafkaProduceDemo:87)
[2018-01-25 22:41:47,925] INFO Thread3 KEEP Poll records! (com.huawei.dms.kafka.DmsKafkaProduceDemo:128)
[2018-01-25 22:41:47,957] INFO Thread2 Have a nice sleep! (com.huawei.dms.kafka.DmsKafkaProduceDemo:87)
[2018-01-25 22:41:48,472] INFO Everyone WakeUp and Work! (com.huawei.dms.kafka.DmsKafkaProduceDemo:69)
[2018-01-25 22:41:48,503] INFO Thread3 recievedrecordshello, dms kafka. (com.huawei.dms.kafka.DmsKafkaProduceDemo:32)
[2018-01-25 22:41:48,518] INFO Thread1 recievedrecordshello, dms kafka. (com.huawei.dms.kafka.DmsKafkaProduceDemo:32)
[2018-01-25 22:41:48,550] INFO Thread2 recievedrecordshello, dms kafka. (com.huawei.dms.kafka.DmsKafkaProduceDemo:32)
[2018-01-25 22:41:48,597] INFO Thread1 recievedrecordshello, dms kafka. (com.huawei.dms.kafka.DmsKafkaProduceDemo:32)
[2018-01-25 22:41:48,659] INFO Thread 2 Polling! (com.huawei.dms.kafka.DmsKafkaProduceDemo:119)
[2018-01-25 22:41:48,659] INFO Thread2 KEEP Poll records! (com.huawei.dms.kafka.DmsKafkaProduceDemo:128)
[2018-01-25 22:41:48,675] INFO Thread3 recievedrecordshello, dms kafka. (com.huawei.dms.kafka.DmsKafkaProduceDemo:32)
[2018-01-25 22:41:48,675] INFO Everyone WakeUp and Work! (com.huawei.dms.kafka.DmsKafkaProduceDemo:69)
[2018-01-25 22:41:48,706] INFO Thread 1 Polling! (com.huawei.dms.kafka.DmsKafkaProduceDemo:119)
[2018-01-25 22:41:48,706] INFO Thread1 KEEP Poll records! (com.huawei.dms.kafka.DmsKafkaProduceDemo:128)

下一篇：如何提高消息处理效率

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