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SpringBoot 中使用kafka-clients

SpringBoot 中使用kafka-clients

作者: HAO延WEI | 来源:发表于2020-05-20 18:08 被阅读0次

1.在pom.xml依赖下新添加一下kafka依赖ar包

    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.2.5.RELEASE</version>
        <relativePath/> <!-- lookup parent from repository -->
    </parent>
---------------------------------------------------------------------------------------------------
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-clients</artifactId>
            <version>1.0.1</version>
        </dependency>

2.生产者

package cn.example.restfulapi.sys.task;

import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.springframework.scheduling.annotation.Scheduled;
import org.springframework.stereotype.Component;
import java.util.Properties;
import java.util.concurrent.Future;

/**
 * @author Mr.Hao
 * @date 2020-05-09
 */

@Component
public class Producer {

    private static String topic = "resource_data_sync_test";

    private Properties producerProp() {
        Properties props = new Properties();
        props.put("bootstrap.servers", "localhost:9092");
        props.put("acks", "all");
        props.put("client.id", "");
        props.put("retries", 0);
        props.put("batch.size", 16384);
        props.put("linger.ms", 100);
        props.put("buffer.memory", 33554432);
        props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        return props;
    }

    @Scheduled(cron = "1 * * * * *")
    public void sendChannelMess()throws Exception{
;
        System.out.println("----------------------开始定时任务-------------------------");
        KafkaProducer KafkaProducer = new KafkaProducer<>(producerProp());

        for (int i = 1; i < 10; i++) {
            String msg = "{\"operation\":1,\"docid\":\"1234567" + i + "\",\"data\":{\"sec_title\":null,\"publish_time\":\"2019-02-18 01:00:00\",\"series\":null,\"brand\":\"\",\"series_id\":\"46,23,78\",\"content\":\"1月8日,市长刘大群\"}}";
            @SuppressWarnings("unchecked")
            ProducerRecord record = new ProducerRecord(topic, msg);
            try {
                Future result = KafkaProducer.send(record);
                System.out.println(msg);
                System.out.println(result.get());
            } catch (Exception e) {
                e.printStackTrace();
            }
        }
        KafkaProducer.close();
    }
}
效果

3. 消费者

package cn.example.restfulapi.sys.task;

import org.apache.kafka.clients.consumer.Consumer;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.apache.kafka.common.PartitionInfo;
import org.springframework.jdbc.core.JdbcTemplate;
import org.springframework.scheduling.annotation.Scheduled;
import org.springframework.stereotype.Component;

import java.util.*;


/**
 * @author Mr.Hao
 * @date 2020-05-11
 */

@Component
public class consumer extends Thread{

    private static String topic = "resource_data_sync_test";

    private Properties getProperties() {
        Properties props = new Properties();
        props.put("bootstrap.servers", "localhost:9092");
        props.put("group.id", "1");
//        props.put("client.id", "");
        props.put("enable.auto.commit", true);
        props.put("auto.offset.reset", "earliest");//"latest";"earliest"
        props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        props.put("max.poll.records", 5000);
        props.put("max.partition.fetch.bytes", 5252880);
        props.put("auto.commit.interval.ms", "100");
        return props;
    }

    public void initKafkaConsumer(){
        new consumer().start();
    }

    /**
     *
     * 消费者
     * @author Mr.Hao
     * @date 2020-05-11
     * @param
     */
    @Override
    @Scheduled(cron = "1 * * * * *")
    public void  run(){

        System.out.println("----------------------开始定时任务-------------------------");
        Consumer<String, String> consumer = new KafkaConsumer<>(getProperties());
        long pollTime = 5000;

        consumer.subscribe(Arrays.asList(topic));
        consumer.seekToBeginning(new ArrayList<>());

        Map<String, List<PartitionInfo>> listTopics = consumer.listTopics();
        Set<Map.Entry<String, List<PartitionInfo>>> entries = listTopics.entrySet();
        while (true) {
            System.out.println("------ pull "+topic+" start -----");
            try {
                ConsumerRecords<String, String> records = consumer.poll(pollTime);
                if (records.count() > 0){
                    System.out.println("poll record size:"+ records.count());

                    process(records);
                }
            } catch (Exception e) {
                System.out.println(e.getMessage());
            }
            System.out.println("------ pull  "+topic+" finish -----");
        }
    }

    public void process(ConsumerRecords<String, String> records) {
        if (records.count() == 0)
            return;
        records.forEach(record -> {
            System.out.println("topic ="+record.topic());
            System.out.println("partition ="+record.partition());
            System.out.println("offset ="+record.offset());
            System.out.println("record ="+record.value());
        });
    }
}

效果

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