kafka與Spring集成

kafka與Spring的集成配置生產者：前提kafka安裝完成，及創建好主題

pom文件配置：

<!-- https://mvnrepository.com/artifact/org.apache.kafka/kafka -->
<dependency>
    <groupId>org.apache.kafka</groupId>
    <artifactId>kafka_2.12</artifactId>
    <version>2.1.0</version>
    <exclusions>
        <exclusion>
            <artifactId>jmxri</artifactId>
            <groupId>com.sun.jmx</groupId>
        </exclusion>
        <exclusion>
            <artifactId>jms</artifactId>
            <groupId>javax.jms</groupId>
        </exclusion>
        <exclusion>
            <artifactId>jmxtools</artifactId>
            <groupId>com.sun.jdmk</groupId>
        </exclusion>
    </exclusions>
</dependency>
<dependency>
    <groupId>org.apache.kafka</groupId>
    <artifactId>kafka-clients</artifactId>
    <version>2.1.0</version>
</dependency>
<dependency>
    <groupId>org.springframework.kafka</groupId>
    <artifactId>spring-kafka</artifactId>
    <version>2.1.11.RELEASE</version><!--2.1.11.RELEASE  2.2以上版本不支持 指定具體監聽類-->
</dependency>

config.properties:

#kafka
#kafka訪問地址
kafka.serverHost=192.168.3.117:9092
#kafka主題名稱
kafka.topic=goods

spring-kafkaProducer.xml：

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
       xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
       xmlns:context="http://www.springframework.org/schema/context"
       xsi:schemaLocation="http://www.springframework.org/schema/beans
         http://www.springframework.org/schema/beans/spring-beans.xsd
         http://www.springframework.org/schema/context
         http://www.springframework.org/schema/context/spring-context.xsd">

   <!--基本配置 -->
    <bean id="producerProperties" class="java.util.HashMap">
        <constructor-arg>
            <map>
                <!-- kafka服務地址，可能是集羣-->
                <entry key="bootstrap.servers" value="${kafka.serverHost}" />
                <entry key="group.id" value="0"/>
                <!-- 有可能導致broker接收到重複的消息,默認值爲3-->
                <entry key="retries" value="10" />
                <!-- 每次批量發送消息的數量-->
                <entry key="batch.size" value="1638" />
                <!-- 默認0ms，在異步IO線程被觸發後（任何一個topic，partition滿都可以觸發）-->
                <entry key="linger.ms" value="1" />
                <!--producer可以用來緩存數據的內存大小。如果數據產生速度大於向broker發送的速度，producer會阻塞或者拋出異常 -->
                <entry key="buffer.memory" value="33554432 " />
                <!-- producer需要server接收到數據之後發出的確認接收的信號，此項配置就是指procuder需要多少個這樣的確認信號-->
                <entry key="acks" value="all" />
                <entry key="key.serializer" value="org.apache.kafka.common.serialization.StringSerializer" />
                <entry key="value.serializer" value="org.apache.kafka.common.serialization.StringSerializer" />
            </map>
        </constructor-arg>
    </bean>

    <!-- 創建kafkatemplate需要使用的producerfactory bean -->
    <bean id="producerFactory"
          class="org.springframework.kafka.core.DefaultKafkaProducerFactory">
        <constructor-arg>
            <ref bean="producerProperties" />
        </constructor-arg>
    </bean>

    <!-- 創建kafkatemplate bean，使用的時候，只需要注入這個bean，即可使用template的send消息方法 -->
    <bean id="KafkaTemplate" class="org.springframework.kafka.core.KafkaTemplate">
        <constructor-arg ref="producerFactory" />
        <constructor-arg name="autoFlush" value="true" />
        <!--設置對應topic-->
        <property name="defaultTopic" value="${kafka.topic}" />
    </bean>
    <bean id="producerListener" class="com.hanshow.wise.base.goods.servlet.KafkaProducerListener" />
</beans>

spring.xml:

<?xml version="1.0" encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
	xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" 
	xmlns:context="http://www.springframework.org/schema/context"
	xsi:schemaLocation="http://www.springframework.org/schema/beans 
		http://www.springframework.org/schema/beans/spring-beans-4.0.xsd
		http://www.springframework.org/schema/context 
		http://www.springframework.org/schema/context/spring-context-4.0.xsd">

	<!-- 引入config.properties屬性文件 -->
	<context:property-placeholder location="classpath:config.properties"/>

	<!-- 自動掃描(自動注入)，掃描這個包以及它的子包的所有使用@Service註解標註的類 -->
	<context:component-scan base-package="com.hanshow.wise.base.*.service" />
	
	<context:component-scan base-package="com.hanshow.wise.base.goods.servlet"/>
	<import resource="classpath:spring-kafkaProducer.xml" />
</beans>  

KafkaProducerListener監聽:

package com.hanshow.wise.base.goods.servlet;

import org.apache.kafka.clients.producer.RecordMetadata;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.kafka.support.ProducerListener;
 
/**
 * kafkaProducer監聽器，在producer配置文件中開啓
 * @author 
 *
 */
@SuppressWarnings("rawtypes")
public class KafkaProducerListener implements ProducerListener{
    protected final Logger LOG = LoggerFactory.getLogger("kafkaProducer");
    /**
     * 發送消息成功後調用
     */
    public void onSuccess(String topic, Integer partition, Object key,
            Object value, RecordMetadata recordMetadata) {
        LOG.info("==========kafka發送數據成功（日誌開始）==========");
        LOG.info("----------topic:"+topic);
        LOG.info("----------partition:"+partition);
        LOG.info("----------key:"+key);
        LOG.info("----------value:"+value);
        LOG.info("----------RecordMetadata:"+recordMetadata);
        LOG.info("~~~~~~~~~~kafka發送數據成功（日誌結束）~~~~~~~~~~");
    }
 
    /**
     * 發送消息錯誤後調用
     */
    public void onError(String topic, Integer partition, Object key,
            Object value, Exception exception) {
        LOG.info("==========kafka發送數據錯誤（日誌開始）==========");
        LOG.info("----------topic:"+topic);
        LOG.info("----------partition:"+partition);
        LOG.info("----------key:"+key);
        LOG.info("----------value:"+value);
        LOG.info("----------Exception:"+exception);
        LOG.info("~~~~~~~~~~kafka發送數據錯誤（日誌結束）~~~~~~~~~~");
        exception.printStackTrace();
    }
 
    /**
     * 方法返回值代表是否啓動kafkaProducer監聽器
     */
    public boolean isInterestedInSuccess() {
        LOG.info("///kafkaProducer監聽器啓動///");
        return true;
    }
 
}

KafkaProducerService接口：

package com.hanshow.wise.base.goods.service;

import java.util.Map;

import com.hanshow.wise.base.goods.model.dto.StoreGoodsDTO;
import com.hanshow.wise.common.jo.BaseDTO;

/**
 * kafka接口
 * 
 * @author 
 * @date 2018年6月2日
 * @since 1.0.0
 */
public interface KafkaProducerService {

	BaseDTO<Map<String, Object>> getProducer(StoreGoodsDTO storeGoodsDTO);

}

KafkaProducerServiceImpl實現：

package com.hanshow.wise.base.goods.service.impl;

import java.util.Map;

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.stereotype.Service;

import com.hanshow.wise.base.goods.model.dto.StoreGoodsDTO;
import com.hanshow.wise.base.goods.service.KafkaProducerService;
import com.hanshow.wise.base.goods.util.ConfigUtils;
import com.hanshow.wise.common.jo.BaseDTO;

/**
 * 提供商品分類信息查詢支持Service實現
 * 
 * @author 
 * @date 2018年6月2日
 * @since 1.0.0
 */
@Service
public class KafkaProducerServiceImpl implements KafkaProducerService {
	
	Logger logger = LoggerFactory.getLogger(KafkaProducerServiceImpl.class);
	
	@Autowired
    private KafkaTemplate<String, String> kafkaTemplate;

	@Override
	public void getProducer() {
		kafkaTemplate.send(ConfigUtils.getType("kafka.topic"), "內容");
	}
}

測試調用結果：

以上是kafka與Spring的集成內容。

附加簡單測試生產者與消費者，無需spring配置。前提kafka安裝完成，及創建好主題。

ProducerDemo.java,生產者：

package com.hanshow.wise.base.goods;

import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.Producer;
import org.apache.kafka.clients.producer.ProducerRecord;

import java.util.Properties;


public class ProducerDemo {
    public static String serverHost="192.168.3.117:9092";
    public static void main(String[] args) {
        Properties props = new Properties();
        props.put("bootstrap.servers", serverHost);
        //The "all" setting we have specified will result in blocking on the full commit of the record, the slowest but most durable setting.
        //“所有”設置將導致記錄的完整提交阻塞，最慢的，但最持久的設置。
        props.put("acks", "all");
        //如果請求失敗，生產者也會自動重試，即使設置成０ the producer can automatically retry.
        props.put("retries", 0);
        //The producer maintains buffers of unsent records for each partition.
        props.put("batch.size", 16384);
        //默認立即發送，這裏這是延時毫秒數
        props.put("linger.ms", 1);
        //生產者緩衝大小，當緩衝區耗盡後，額外的發送調用將被阻塞。時間超過max.block.ms將拋出TimeoutException
        props.put("buffer.memory", 33554432);
        //The key.serializer and value.serializer instruct how to turn the key and value objects the user provides with their ProducerRecord into bytes.
        props.put("key.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        props.put("value.serializer", "org.apache.kafka.common.serialization.StringSerializer");
        
        //創建kafka的生產者類
        Producer<String, String> producer = new KafkaProducer<String, String>(props);
        for (int i = 0; i < 10; i++) {
            // 這裏平均寫入４個分區
        	// producer.send(new ProducerRecord<String, String>("test", i % 4, Integer.toString(i), Integer.toString(i)));
            // 因爲沒有建立集羣所以只能是0個分區
            producer.send(new ProducerRecord<String, String>("my-first-topic", 0, Integer.toString(i), Integer.toString(i)));
        }
        producer.close();
    }
}

ConsumerDemo.java消費者

package com.hanshow.wise.base.goods;

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

import java.util.Arrays;
import java.util.Properties;

public class ConsumerDemo {

    public static void main(String[] args) {
        Properties props = new Properties();

        props.put("bootstrap.servers", ProducerDemo.serverHost);
        System.out.println("this is the group part test 1");
        //消費者的組id
        props.put("group.id", "GroupA");//這裏是GroupA或者GroupB
        props.put("enable.auto.commit", "true");
        props.put("auto.commit.interval.ms", "1000");

        //從poll(拉)的回話處理時長
        props.put("session.timeout.ms", "30000");
        //poll的數量限制
        //props.put("max.poll.records", "100");
        props.put("key.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");
        props.put("value.deserializer", "org.apache.kafka.common.serialization.StringDeserializer");

        KafkaConsumer<String, String> consumer = new KafkaConsumer<String, String>(props);
        //訂閱主題列表topic
        consumer.subscribe(Arrays.asList("my-first-topic"));
        while (true) {
            ConsumerRecords<String, String> records = consumer.poll(100);
            for (ConsumerRecord<String, String> record : records)
                //　正常這裏應該使用線程池處理，不應該在這裏處理
                System.out.printf("offset = %d, key = %s, value = %s", record.offset(), record.key(), record.value() + "\n");

        }
    }

}