kafka与Spring的集成
准备工作
kafka版本：kafka_2.10-0.10.1.0
spring版本：spring4.3
配置文件
pom文件配置（也可以直接下载jar包）
Kafka和spring集成的支持类库，spring和kafka通信监听
1 <dependency> 2 <groupId>org.springframework.integration</groupId> 3 <artifactId>spring-integration-kafka</artifactId> 4 <version>1.3.0.RELEASE</version> 5 </dependency>
kafka发送消息以及接受消息使用的类库
1 <dependency> 2 <groupId>org.apache.kafka</groupId> 3 <artifactId>kafka-clients</artifactId> 4 <version>0.10.1.0</version> 5 </dependency>
使用高版本是因为低版本无法支持kafka监听，spring和kafka集成不好
1 <dependency> 2 <groupId>org.springframework</groupId> 3 <artifactId>spring-webmvc</artifactId> 4 <version>4.3.0.RELEASE</version> 5 </dependency>
kafka自带监听器，依赖于spring，所以需要和pring-integration-kafka结合使用
1 <dependency> 2 <groupId>org.springframework.kafka</groupId> 3 <artifactId>spring-kafka</artifactId> 4 <version>1.0.0.RC1</version> 5 </dependency>
producer配置
1.如果你的topic没有设置名称，按照默认的topic的名字生成对应的数据文件夹。
2.producerListener用来判断kafka发送数据是否成功以及发送反馈信息。
1 <?xml version="1.0" encoding="UTF-8"?> 2 <beans xmlns="http://www.springframework.org/schema/beans" 3 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:context="http://www.springframework.org/schema/context" 4 xsi:schemaLocation="http://www.springframework.org/schema/beans 5 http://www.springframework.org/schema/beans/spring-beans.xsd 6 http://www.springframework.org/schema/context 7 http://www.springframework.org/schema/context/spring-context.xsd"> 8 9 <!-- 定义producer的参数 --> 10 <bean id="producerProperties" class="java.util.HashMap"> 11 <constructor-arg> 12 <map> 13 <entry key="bootstrap.servers" value="localhost:7000" /> 14 <entry key="group.id" value="0" /> 15 <entry key="retries" value="1" /> 16 <entry key="batch.size" value="16384" /> 17 <entry key="linger.ms" value="1" /> 18 <entry key="buffer.memory" value="33554432" /> 19 <entry key="key.serializer" 20 value="org.apache.kafka.common.serialization.StringSerializer" /> 21 <entry key="value.serializer" 22 value="org.apache.kafka.common.serialization.StringSerializer" /> 23 </map> 24 </constructor-arg> 25 </bean> 26 27 <!-- 创建kafkatemplate需要使用的producerfactory bean --> 28 <bean id="producerFactory" 29 class="org.springframework.kafka.core.DefaultKafkaProducerFactory"> 30 <constructor-arg> 31 <ref bean="producerProperties" /> 32 </constructor-arg> 33 </bean> 34 35 <!-- 创建kafkatemplate bean，使用的时候，只需要注入这个bean，即可使用template的send消息方法 --> 36 <bean id="KafkaTemplate" class="org.springframework.kafka.core.KafkaTemplate"> 37 <constructor-arg ref="producerFactory" /> 38 <constructor-arg name="autoFlush" value="true" /> 39 <property name="defaultTopic" value="defaultTopic" /> 40 <property name="producerListener" ref="producerListener"/> 41 </bean> 42 43 <bean id="producerListener" class="com.git.kafka.producer.KafkaProducerListener" /> 44 </beans>
consumer配置
1.使用kafka的listener进行消息消费监听，如果有消费消息进入会自动调用OnMessage方法进行消息消费以及后续业务处理。
2.如果要配置多个topic，需要创建新的消费者容器，然后统一指向listner的消息处理类，统一让这个类进行后续业务处理。
1 <?xml version="1.0" encoding="UTF-8"?> 2 <beans xmlns="http://www.springframework.org/schema/beans" 3 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" 4 xmlns:context="http://www.springframework.org/schema/context" 5 xsi:schemaLocation="http://www.springframework.org/schema/beans 6 http://www.springframework.org/schema/beans/spring-beans-3.0.xsd 7 http://www.springframework.org/schema/tx 8 http://www.springframework.org/schema/tx/spring-tx-3.0.xsd 9 http://www.springframework.org/schema/jee 10 http://www.springframework.org/schema/jee/spring-jee-3.0.xsd 11 http://www.springframework.org/schema/context 12 http://www.springframework.org/schema/context/spring-context-3.0.xsd"> 13 14 15 <!-- 定义consumer的参数 --> 16 <bean id="consumerProperties" class="java.util.HashMap"> 17 <constructor-arg> 18 <map> 19 <entry key="bootstrap.servers" value="127.0.0.1:7000"/> 20 <entry key="group.id" value="0"/> 21 <entry key="enable.auto.commit" value="false"/> 22 <entry key="auto.commit.interval.ms" value="1000"/> 23 <entry key="session.timeout.ms" value="15000"/> 24 <entry key="key.deserializer" value="org.apache.kafka.common.serialization.StringDeserializer"/> 25 <entry key="value.deserializer" value="org.apache.kafka.common.serialization.StringDeserializer"/> 26 </map> 27 </constructor-arg> 28 </bean> 29 30 <!-- 创建consumerFactory bean --> 31 <bean id="consumerFactory" class="org.springframework.kafka.core.DefaultKafkaConsumerFactory"> 32 <constructor-arg> 33 <ref bean="consumerProperties"/> 34 </constructor-arg> 35 </bean> 36 37 <!-- 实际执行消息消费的类 --> 38 <bean id="messageListernerConsumerService" class="com.git.kafka.consumer.KafkaConsumerServer"/> 39 40 <!-- 消费者容器配置信息 --> 41 <bean id="containerProperties_trade" class="org.springframework.kafka.listener.config.ContainerProperties"> 42 <constructor-arg value="order_test_topic"/> 43 <property name="messageListener" ref="messageListernerConsumerService"/> 44 </bean> 45 <bean id="containerProperties_other" class="org.springframework.kafka.listener.config.ContainerProperties"> 46 <constructor-arg value="other_test_topic"/> 47 <property name="messageListener" ref="messageListernerConsumerService"/> 48 </bean> 49 50 <!-- 创建messageListenerContainer bean，使用的时候，只需要注入这个bean --> 51 <bean id="messageListenerContainer_trade" class="org.springframework.kafka.listener.KafkaMessageListenerContainer" 52 init-method="doStart"> 53 <constructor-arg ref="consumerFactory"/> 54 <constructor-arg ref="containerProperties_trade"/> 55 </bean> 56 57 <bean id="messageListenerContainer_other" class="org.springframework.kafka.listener.KafkaMessageListenerContainer" 58 init-method="doStart"> 59 <constructor-arg ref="consumerFactory"/> 60 <constructor-arg ref="containerProperties_other"/> 61 </bean> 62 63 </beans>
applicationContext配置
1 <import resource="classpath:kafkaConsumer.xml" /> 2 <import resource="classpath:kafkaProducer.xml" />
具体实现
constant.java //常量类
1 package com.git.kafka.constant; 2 3 /** 4 * kafkaMessageConstant 5 * @author wangb 6 * 7 */ 8 public class KafkaMesConstant { 9 10 public static final String SUCCESS_CODE = "00000"; 11 public static final String SUCCESS_MES = "成功"; 12 13 /*kakfa-code*/ 14 public static final String KAFKA_SEND_ERROR_CODE = "30001"; 15 public static final String KAFKA_NO_RESULT_CODE = "30002"; 16 public static final String KAFKA_NO_OFFSET_CODE = "30003"; 17 18 /*kakfa-mes*/ 19 public static final String KAFKA_SEND_ERROR_MES = "发送消息超时,联系相关技术人员"; 20 public static final String KAFKA_NO_RESULT_MES = "未查询到返回结果,联系相关技术人员"; 21 public static final String KAFKA_NO_OFFSET_MES = "未查到返回数据的offset,联系相关技术人员"; 22 23 24 }
KafkaConsumerServer.java //消费者监听
1 package com.git.kafka.consumer; 2 3 import org.apache.kafka.clients.consumer.ConsumerRecord; 4 import org.slf4j.Logger; 5 import org.slf4j.LoggerFactory; 6 import org.springframework.kafka.listener.MessageListener; 7 8 /** 9 * kafka监听器启动 10 * 自动监听是否有消息需要消费 11 * @author wangb 12 * 13 */ 14 public class KafkaConsumerServer implements MessageListener<String, String> { 15 protected final Logger LOG = LoggerFactory.getLogger("kafkaConsumer"); 16 /** 17 * 监听器自动执行该方法 18 * 消费消息 19 * 自动提交offset 20 * 执行业务代码 21 * （high level api 不提供offset管理，不能指定offset进行消费） 22 */ 23 @Override 24 public void onMessage(ConsumerRecord<String, String> record) { 25 LOG.info("=============kafkaConsumer开始消费============="); 26 String topic = record.topic(); 27 String key = record.key(); 28 String value = record.value(); 29 long offset = record.offset(); 30 int partition = record.partition(); 31 LOG.info("-------------topic:"+topic); 32 LOG.info("-------------value:"+value); 33 LOG.info("-------------key:"+key); 34 LOG.info("-------------offset:"+offset); 35 LOG.info("-------------partition:"+partition); 36 LOG.info("~~~~~~~~~~~~~kafkaConsumer消费结束~~~~~~~~~~~~~"); 37 } 38 39 }
kafkaProducerListener.java //生产者监听-打印日志
package com.git.kafka.producer; import org.apache.kafka.clients.producer.RecordMetadata; import org.slf4j.Logger; import org.slf4j.LoggerFactory; import org.springframework.kafka.support.ProducerListener; /** * kafkaProducer监听器，在producer配置文件中开启 * @author wangb * */ @SuppressWarnings("rawtypes") public class KafkaProducerListener implements ProducerListener{ protected final Logger LOG = LoggerFactory.getLogger("kafkaProducer"); /** * 发送消息成功后调用 */ @Override public void onSuccess(String topic, Integer partition, Object key, Object value, RecordMetadata recordMetadata) { LOG.info("==========kafka发送数据成功（日志开始）=========="); LOG.info("----------topic:"+topic); LOG.info("----------partition:"+partition); LOG.info("----------key:"+key); LOG.info("----------value:"+value); LOG.info("----------RecordMetadata:"+recordMetadata); LOG.info("~~~~~~~~~~kafka发送数据成功（日志结束）~~~~~~~~~~"); } /** * 发送消息错误后调用 */ @Override public void onError(String topic, Integer partition, Object key, Object value, Exception exception) { LOG.info("==========kafka发送数据错误（日志开始）=========="); LOG.info("----------topic:"+topic); LOG.info("----------partition:"+partition); LOG.info("----------key:"+key); LOG.info("----------value:"+value); LOG.info("----------Exception:"+exception); LOG.info("~~~~~~~~~~kafka发送数据错误（日志结束）~~~~~~~~~~"); exception.printStackTrace(); } /** * 方法返回值代表是否启动kafkaProducer监听器 */ @Override public boolean isInterestedInSuccess() { LOG.info("///kafkaProducer监听器启动///"); return true; } }
KafkaProducerServer.java //生产者
package com.git.kafka.producer; import java.util.HashMap; import java.util.Map; import java.util.Random; import java.util.concurrent.ExecutionException; import org.springframework.beans.factory.annotation.Autowired; import org.springframework.kafka.core.KafkaTemplate; import org.springframework.kafka.support.SendResult; import org.springframework.stereotype.Component; import org.springframework.util.concurrent.ListenableFuture; import com.alibaba.fastjson.JSON; import com.git.kafka.constant.KafkaMesConstant; /** * kafkaProducer模板 * 使用此模板发送消息 * @author wangb * */ @Component public class KafkaProducerServer{ @Autowired private KafkaTemplate<String, String> kafkaTemplate; /** * kafka发送消息模板 * @param topic 主题 * @param value messageValue * @param ifPartition 是否使用分区 0是\1不是 * @param partitionNum 分区数 如果是否使用分区为0,分区数必须大于0 * @param role 角色:bbc app erp... */ public Map<String,Object> sndMesForTemplate(String topic, Object value, String ifPartition, Integer partitionNum, String role){ String key = role+"-"+value.hashCode(); String valueString = JSON.toJSONString(value); if(ifPartition.equals("0")){ //表示使用分区 int partitionIndex = getPartitionIndex(key, partitionNum); ListenableFuture<SendResult<String, String>> result = kafkaTemplate.send(topic, partitionIndex, key, valueString); Map<String,Object> res = checkProRecord(result); return res; }else{ ListenableFuture<SendResult<String, String>> result = kafkaTemplate.send(topic, key, valueString); Map<String,Object> res = checkProRecord(result); return res; } } /** * 根据key值获取分区索引 * @param key * @param partitionNum * @return */ private int getPartitionIndex(String key, int partitionNum){ if (key == null) { Random random = new Random(); return random.nextInt(partitionNum); } else { int result = Math.abs(key.hashCode())%partitionNum; return result; } } /** * 检查发送返回结果record * @param res * @return */ @SuppressWarnings("rawtypes") private Map<String,Object> checkProRecord(ListenableFuture<SendResult<String, String>> res){ Map<String,Object> m = new HashMap<String,Object>(); if(res!=null){ try { SendResult r = res.get();//检查result结果集 /*检查recordMetadata的offset数据，不检查producerRecord*/ Long offsetIndex = r.getRecordMetadata().offset(); if(offsetIndex!=null && offsetIndex>=0){ m.put("code", KafkaMesConstant.SUCCESS_CODE); m.put("message", KafkaMesConstant.SUCCESS_MES); return m; }else{ m.put("code", KafkaMesConstant.KAFKA_NO_OFFSET_CODE); m.put("message", KafkaMesConstant.KAFKA_NO_OFFSET_MES); return m; } } catch (InterruptedException e) { e.printStackTrace(); m.put("code", KafkaMesConstant.KAFKA_SEND_ERROR_CODE); m.put("message", KafkaMesConstant.KAFKA_SEND_ERROR_MES); return m; } catch (ExecutionException e) { e.printStackTrace(); m.put("code", KafkaMesConstant.KAFKA_SEND_ERROR_CODE); m.put("message", KafkaMesConstant.KAFKA_SEND_ERROR_MES); return m; } }else{ m.put("code", KafkaMesConstant.KAFKA_NO_RESULT_CODE); m.put("message", KafkaMesConstant.KAFKA_NO_RESULT_MES); return m; } } }
KafkaProducerTest.java //kafka生产者测试（消费者使用spring启动监听，自动执行onMessage方法）
package com.git.test; import java.util.Map; import com.git.kafka.producer.KafkaProducerServer; public class KafkaProducerTest { public static void main(String[] args) { KafkaProducerServer kafkaProducer = new KafkaProducerServer(); String topic = "orderTopic"; String value = "test"; String ifPartition = "0"; Integer partitionNum = 3; String role = "test";//用来生成key Map<String,Object> res = kafkaProducer.sndMesForTemplate (topic, value, ifPartition, partitionNum, role); System.out.println("测试结果如下：==============="); String message = (String)res.get("message"); String code = (String)res.get("code"); System.out.println("code:"+code); System.out.println("message:"+message); } }
具体项目代码
项目地址:https://git.oschina.net/wsmd/kafka-0.10-demo
