kafka入门及使用（不用集成spring）

1、引入坐标

<dependency>
    <groupId>org.apache.kafka</groupId>
    <artifactId>kafka_2.12</artifactId>
    <version>2.0.0</version>
</dependency>

2、生产者

package com.search.kafka;

import java.util.ArrayList;
import java.util.List;
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 com.lvmama.searchclient.bean.HotelTimePriceBean;

/**
 * Kafka生产者
 * 先启动生产者，发送消息到broker，这里简单发送了10条从0-9的消息，再启动消费者，控制台输出如下：
 */
public class SimpleKafkaProducer {

    public static void main(String[] args) {
        // TODO Auto-generated method stub

        Properties props = new Properties();

        //broker地址
        props.put("bootstrap.servers", "localhost:9092");  // "localhost:9092"

        //请求时候需要验证
        props.put("acks", "all");

        //请求失败时候需要重试
        props.put("retries", 0);

        //内存缓存区大小
        props.put("buffer.memory", 33554432);

        //指定消息key序列化方式
        props.put("key.serializer",
                "org.apache.kafka.common.serialization.StringSerializer");

        //指定消息本身的序列化方式
        props.put("value.serializer",
                "com.search.kafka.DataSerializer");

        Producer<String, List<HotelTimePriceBean>> producer = new KafkaProducer<>(props);
        List<HotelTimePriceBean> list = new ArrayList<HotelTimePriceBean>();
        for (int i = 0; i < 10; i++) {  //i < 10
            // 生产一条消息的时间有点长
            HotelTimePriceBean bean = new HotelTimePriceBean();
            bean.setProductId(Long.valueOf(i));
            list.add(bean);
        }
        producer.send(new ProducerRecord<>("HOTEL_PRICE_HOTSEARCH_TOPIC", list));
        System.out.println("Message sent successfully");
        producer.close();
    }

}

3、消费者

package com.search.kafka;

import java.time.Duration;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Date;
import java.util.HashSet;
import java.util.List;
import java.util.Properties;
import java.util.Set;
import org.apache.commons.collections.CollectionUtils;
import org.apache.commons.lang3.time.DateFormatUtils;
import org.apache.commons.lang3.time.DateUtils;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.lvmama.searchclient.bean.HotelTimePriceBean;
import com.search.beans.RealTimePriceBean;
import com.search.common.mapping.PropertiesDataMapping;
import com.search.common.util.CommonSearchUtils;
import com.search.common.util.RealTimePriceUtils;

public enum SimpleKafkaConsumer implements Runnable {

    INSTANCE;

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

    public static String getJdbcValue(String key) {
        return PropertiesDataMapping.INSTANCE.getPropsMap("kafka.properties").get(key);
    }

    private static final String BOOTSTRAP_SERVERS = getJdbcValue("kafka.bootstrap.servers");
    private static final String TOPIC = getJdbcValue("kafka.hotsearch.topic");
    private static final String GROUP_ID = getJdbcValue("kafka.hotsearch.group.id");

    @Override
    public void run() {

        Properties props = new Properties();

        props.put("bootstrap.servers", BOOTSTRAP_SERVERS); // "localhost:9092"
        // 每个消费者分配独立的组号
        props.put("group.id", GROUP_ID);

        // 如果value合法，则自动提交偏移量
        props.put("enable.auto.commit", "true");

        // 设置多久一次更新被消费消息的偏移量
        props.put("auto.commit.interval.ms", "1000");

        // 设置会话响应的时间，超过这个时间kafka可以选择放弃消费或者消费下一条消息
        props.put("session.timeout.ms", "30000");

        // props.put("auto.offset.reset", "earliest");

        props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        props.put("value.deserializer", "com.search.kafka.DataDeserializer");

        KafkaConsumer<String, List<HotelTimePriceBean>> consumer = new KafkaConsumer<>(props);

        consumer.subscribe(Collections.singletonList(TOPIC)); // 核心函数1：订阅topic

        while (true) {
            if (!"true".equals(CommonSearchUtils.getConstValue("kafka.enable"))) {
                return;
            }
            // 核心函数2：long poll,一次拉取回来多个消息,读取数据，读取超时时间为100ms
            // System.out.println("-----------------------------------------------------");
            ConsumerRecords<String, List<HotelTimePriceBean>> records = consumer.poll(Duration.ofMillis(100));
            for (ConsumerRecord<String, List<HotelTimePriceBean>> record : records) {
                List<HotelTimePriceBean> value = record.value();
                if (CollectionUtils.isNotEmpty(value)) {
                    logger.info("HotSearchConsumer:{}", value);
                    List<RealTimePriceBean> realTimePriceBeans = buildRealTimePriceBeans(value);// 转化
                    RealTimePriceUtils.deleteAndInsertBatch(realTimePriceBeans); // 批量插入
                }
            }
        }
    }
}

4、对象序列化

package com.search.kafka;

import java.util.List;
import java.util.Map;

import org.apache.kafka.common.serialization.Serializer;

import com.alibaba.fastjson.JSON;
import com.lvmama.searchclient.bean.HotelTimePriceBean;

public class DataSerializer implements Serializer<List<HotelTimePriceBean>> {

    @Override
    public void configure(Map<String, ?> configs, boolean isKey) {}

    @Override
    public byte[] serialize(String topic, List<HotelTimePriceBean> data) {
        return JSON.toJSONBytes(data);
    }

    @Override
    public void close() {}

}

5、对象反序列化

package com.search.kafka;

import java.util.List;
import java.util.Map;

import org.apache.kafka.common.serialization.Deserializer;

import com.alibaba.fastjson.JSONArray;
import com.lvmama.searchclient.bean.HotelTimePriceBean;

public class DataDeserializer implements Deserializer<List<HotelTimePriceBean>> {

    @Override
    public void configure(Map<String, ?> configs, boolean isKey) {}

    @Override
    public List<HotelTimePriceBean> deserialize(String topic, byte[] data) {
        return JSONArray.parseArray(new String(data), HotelTimePriceBean.class);
    }

    @Override
    public void close() {}

}

6、启动

package com.search.web.listener;

import javax.servlet.ServletContextEvent;
import javax.servlet.ServletContextListener;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.web.context.ContextLoaderListener;

import com.search.common.mapping.PropertiesDataMapping;
import com.search.elasticsearch.processer.StoreCommissionsProcessor;
import com.search.kafka.SimpleKafkaConsumer;


public class SearchDataLoader extends ContextLoaderListener implements ServletContextListener {

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

    @Override
    public void contextInitialized(ServletContextEvent event) {
        // Kafka消费启动监听线程
        Thread simpleKafkaConsumerThread = new Thread(SimpleKafkaConsumer.INSTANCE);
        simpleKafkaConsumerThread.setDaemon(true);
        simpleKafkaConsumerThread.start();
    }
}

7、配置监听器

<listener>
        <description>Used to initialize Search Data.</description>
        <listener-class>com.search.web.listener.SearchDataLoader</listener-class>
</listener>

注：web项目下依赖监听器启动线程