Optimizing Message Polling of DMS for Kafka Consumers

Overview

In the native Kafka SDK provided by DMS for Kafka, consumers can customize the duration for pulling messages. To pull messages for a long time, consumers only need to set the parameter of the poll(long) method to a proper value. However, such persistent connections may cause pressure on the client and the server, especially when the number of partitions is large and multiple threads are enabled for each consumer.

As shown in Figure 1, the topic contains multiple partitions, and multiple consumers in the consumer group consume the resources at the same time. Each thread is in a persistent connection. When there are few or no messages in the topic, the connection persists, and all consumers pull messages continuously, which causes a waste of resources.

Figure 1 Multi-thread consumption of Kafka consumers
Click to enlarge

Optimization Solution

When multiple threads are enabled for concurrent access, if there is no message in the topic, only one thread is required to poll for messages in each partition. When a message is found by the polling thread, other threads can be woken up to consume the message for quick responses, as shown in Figure 2.

This solution is applicable to scenarios with low requirements on real-time message consumption. If quasi-real-time message consumption is required, it is recommended that all consumers be in the active state.

Figure 2 Optimized multi-thread consumption solution
Click to enlarge

The number of consumers and the number of partitions are not necessarily the same. The poll (long) method of Kafka helps implement the functions such as message acquisition, partition balancing, and heartbeat detection between consumers and Kafka brokers.

Therefore, in scenarios where the requirements on real-time message consumption are low and there is a small number of messages, some consumers can be in the wait state.

Sample Code

The following describes only the code related to wake-up and sleep of the consumer thread. To run the entire demo, download the complete sample code package and refer to the Developer Guide for deploying and running the code.

Sample code for consuming messages:

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
    {

        //Create a consumer for the current consumer group.
        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();
                }
            }
        });

        //       //Start threads.
        thread1.start();
        thread2.start();
        thread3.start();

        try
        {
            Thread.sleep(5000);
        }
        catch (InterruptedException e)
        {
            e.printStackTrace();
        }
       //Add threads. 
        try
        {
            thread1.join();
            thread2.join();
            thread3.join();
        }
        catch (InterruptedException e)
        {
            e.printStackTrace();
        }
    }
}

Sample code for consumer thread management:

The sample code provides only simple design ideas. Developers can optimize the thread wake-up and sleep mechanisms based on actual scenarios.

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);
    
        //Interval time of polling
    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;
        }
    }

    //Wake up all threads.
    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)
        {
            //Check the poll status of threads and hibernate the threads when necessary.
            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;
                    }
                }
            }

            //Start to consume and wake up other threads when necessary.
            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();
                }
                //Acknowledge message consumption.
                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 is the name of the topic.

Running Results of Sample Code

[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)

Next topic: Improving Message Processing Efficiency

Feedback

Was this page helpful?

Helpful Not helpful

Provide feedback

Thank you very much for your feedback. We will continue working to improve the documentation.See the reply and handling status in My Cloud VOC.

The system is busy. Please try again later.

Which of the following issues have you encountered?

Content is inconsistent with the product UI

Unclear descriptions

Lack of examples or code

Incorrect steps

Can't find what I need

Lack of best practices

Feedback (optional)

0/500

Select at least one type of issue, and enter your comments or suggestions.

Enter a maximum of 500 characters.

Submit Cancel

For any further questions, feel free to contact us through the chatbot.

Chatbot