canal实战（一）：canal连接kafka实现实时同步mysql数据

前面已经介绍过了canal-kafka的应用。canal-kafka是把kafka作为客户端，嵌入到canal中，并且在canal基础上对源码进行了修改，以达到特定的实现canal到kafka的传送。

canal-kafka是阿里云最近更新的一个新的安装包。主要功能是实现canal与kafka的对接，实现海量的消息传输同步。在canal-kafka中，消息是以ByteString进行传输的，并且用户只能通过配置来指定一些kafka的配置，从某种程度上有一定的局限性，所以我们使用canal来自定义客户端kafka，会有更好的灵活性，但维护成本会更大，所以如何选择根据实际情况而定。

参考：canal源码分析（一）客户端程序

构建maven依赖

<dependency>
    <groupId>com.alibaba.otter</groupId>
    <artifactId>canal.client</artifactId>
    <version>1.0.25</version>
</dependency> 
<dependency>
    <groupId>org.apache.kafka</groupId>
    <artifactId>kafka-clients</artifactId>
    <version>1.1.0</version>
</dependency>

注意版本对应

SimpleCanalClient

package com.unigroup.client.canal;

import java.lang.reflect.InvocationTargetException;
import java.lang.reflect.Method;
import java.net.InetSocketAddress;
import java.util.List;

import com.alibaba.otter.canal.client.CanalConnector;
import com.alibaba.otter.canal.client.CanalConnectors;
import com.alibaba.otter.canal.protocol.CanalEntry.Entry;

import com.alibaba.otter.canal.protocol.Message;
import com.unigroup.core.canal.CanalToKG;

/**   
* @Title: SimpleCanalClient.java 
* @Package com.unigroup.canal 
* @Description: canal單實例接口
* @author 桃花惜春风   
* @date 2018年8月29日 上午11:56:09 
* @version V1.0   
*/
public class SimpleCanalClient {

    private CanalConnector connector=null;

    public SimpleCanalClient(String ip,String port,String instance) {

        // 创建链接
        connector = CanalConnectors.newSingleConnector(new InetSocketAddress(ip, Integer.parseInt(port)),instance, "", "");
    }
    public List<Entry> execute(int batchSize,Class<?> clazz ) throws InstantiationException, IllegalAccessException, NoSuchMethodException, SecurityException {

        //int batchSize = 1;
        int emptyCount = 0;
        Object obj = clazz.newInstance();
        Method method = clazz.getMethod("send",Message.class);
        try {
            connector.connect();
            // connector.subscribe(".*\\..*");
            connector.subscribe("test.test1");

            connector.rollback();
            int totalEmptyCount = 120;
            while (emptyCount < totalEmptyCount) {
                Message message = connector.getWithoutAck(batchSize); // 获取指定数量的数据
                long batchId = message.getId();
                int size = message.getEntries().size();
                if (batchId == -1 || size == 0) {
                    emptyCount++;
                    System.out.println("empty count : " + emptyCount);
                    try {
                        Thread.sleep(1000);
                    } catch (InterruptedException e) {
                    }
                } else {
                    emptyCount = 0;
                    method.invoke(obj, message);            
                }
                connector.ack(batchId); // 提交确认

                // connector.rollback(batchId); // 处理失败, 回滚数据
            }

            System.out.println("empty too many times, exit");
        } catch (IllegalAccessException e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        } catch (IllegalArgumentException e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        } catch (InvocationTargetException e) {
            // TODO Auto-generated catch block
            e.printStackTrace();
        } finally {
            connector.disconnect();
        }
        return null;
    }
}

analKafkaProducer

package com.unigroup.kafka.producer;

import java.io.IOException;
import java.util.Properties;

import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.common.serialization.StringSerializer;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

import com.alibaba.otter.canal.protocol.Message;
import com.unigroup.kafka.producer.KafkaProperties.Topic;
import com.unigroup.utils.MessageSerializer;

/**   
* @Title: CanalKafkaProducer.java 
* @Package com.unigroup.kafka.producer 
* @Description: 
* @author 桃花惜春风   
* @date 2018年9月3日 上午11:53:35 
* @version V1.0   
*/
public class CanalKafkaProducer {

    private static final Logger logger = LoggerFactory.getLogger(CanalKafkaProducer.class);

    private Producer<String, Message> producer;

    public void init(KafkaProperties kafkaProperties) {
        Properties properties = new Properties();
        properties.put("bootstrap.servers", kafkaProperties.getServers());
        properties.put("acks", "all");
        properties.put("retries", kafkaProperties.getRetries());
        properties.put("batch.size", kafkaProperties.getBatchSize());
        properties.put("linger.ms", kafkaProperties.getLingerMs());
        properties.put("buffer.memory", kafkaProperties.getBufferMemory());
        properties.put("key.serializer", StringSerializer.class.getName());
        properties.put("value.serializer", MessageSerializer.class.getName());
        producer = new KafkaProducer<String, Message>(properties);
    }

    public void stop() {
        try {
            logger.info("## stop the kafka producer");
            producer.close();
        } catch (Throwable e) {
            logger.warn("##something goes wrong when stopping kafka producer:", e);
        } finally {
            logger.info("## kafka producer is down.");
        }
    }

    public void send(Topic topic, Message message) throws IOException {

        ProducerRecord<String, Message> record;
        if (topic.getPartition() != null) {
            record = new ProducerRecord<String, Message>(topic.getTopic(), topic.getPartition(), null, message);
        } else {
            record = new ProducerRecord<String, Message>(topic.getTopic(), message);
        }
        producer.send(record);
        if (logger.isDebugEnabled()) {
            logger.debug("send message to kafka topic: {} \n {}", topic.getTopic(), message.toString());
        }
    }
}

canalToKafkaServer

package com.unigroup.kafka.server;

import com.unigroup.client.canal.SimpleCanalClient;
import com.unigroup.kafka.producer.CanalKafkaProducer;
import com.unigroup.utils.GetProperties;

/**   
* @Title: canal.java 
* @Package com.unigroup.kafka.server 
* @Description: 
* @author 桃花惜春风   
* @date 2018年9月3日 上午11:23:35 
* @version V1.0   
*/
public class canalToKafkaServer {
    public static void execute() {
        SimpleCanalClient simpleCanalClient = new SimpleCanalClient(GetProperties.getValue("MYSQL_HOST"),
                GetProperties.getValue("MTSQL_PORT"), GetProperties.getValue("INSTANCE"));
        try {
            simpleCanalClient.execute(1,CanalKafkaProducer.class);
        } catch (Exception e) {
            e.printStackTrace();
        } 
    }
}

此一个简单的canal到kafka的demo已经完成。这些都只是测试代码，实际应用中根据不同的情况，可以自己开发更多功能。

更多：canal源码分析与应用专栏
——————————————————————————————————
作者：桃花惜春风
转载请标明出处，原文地址：
https://blog.csdn.net/xiaoyu_BD/article/details/82261856
如果感觉本文对您有帮助，您的支持是我坚持写作最大的动力，谢谢！

--------------------- 本文来自桃花惜春风的CSDN 博客，全文地址请点击：https://blog.csdn.net/xiaoyu_BD/article/details/82261856?utm_source=copy

canal实战（一）：canal连接kafka实现实时同步mysql数据

构建maven依赖

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