Spring Integration Kafka
2024-05-11 23:46:10
转自：http://www.cnblogs.com/yuanermen/p/5453339.html
一、概述
Spring Integration Kafka 是基于 Apache Kafka 和Spring Integration来集成Kafka，对开发配置提供了方便。
二、配置
1、spring-kafka-consumer.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:int="http://www.springframework.org/schema/integration"
xmlns:int-kafka="http://www.springframework.org/schema/integration/kafka"
xmlns:task="http://www.springframework.org/schema/task"
xsi:schemaLocation="http://www.springframework.org/schema/integration/kafka
http://www.springframework.org/schema/integration/kafka/spring-integration-kafka.xsd
http://www.springframework.org/schema/integration
http://www.springframework.org/schema/integration/spring-integration.xsd
http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans.xsd
http://www.springframework.org/schema/task
http://www.springframework.org/schema/task/spring-task.xsd">
<!-- topic test conf -->
<int:channel id="inputFromKafka">
<int:dispatcher task-executor="kafkaMessageExecutor"/>
</int:channel>
<!-- zookeeper配置 可以配置多个 -->
<int-kafka:zookeeper-connect id="zookeeperConnect"
zk-connect="192.168.1.237:2181"zk-connection-timeout="6000"
zk-session-timeout="6000"zk-sync-time="2000"/>
<!-- channel配置 auto-startup="true" 否则接收不发数据 -->
<int-kafka:inbound-channel-adapter id="kafkaInboundChannelAdapter"
kafka-consumer-context-ref="consumerContext"auto-startup="true"channel="inputFromKafka">
<int:poller fixed-delay="1"time-unit="MILLISECONDS"/>
</int-kafka:inbound-channel-adapter>
<task:executor id="kafkaMessageExecutor"pool-size="8"keep-alive="120"queue-capacity="500"/>
<bean id="kafkaDecoder"
class="org.springframework.integration.kafka.serializer.common.StringDecoder"/>
<bean id="consumerProperties"
class="org.springframework.beans.factory.config.PropertiesFactoryBean">
<property name="properties">
<props>
<prop key="auto.offset.reset">smallest</prop>
<prop key="socket.receive.buffer.bytes">10485760</prop> <!-- 10M -->
<prop key="fetch.message.max.bytes">5242880</prop>
<prop key="auto.commit.interval.ms">1000</prop>
</props>
</property>
</bean>
<!-- 消息接收的BEEN -->
<bean id="kafkaConsumerService"class="com.sunney.service.impl.KafkaConsumerService"/>
<!-- 指定接收的方法 -->
<int:outbound-channel-adapter channel="inputFromKafka"
ref="kafkaConsumerService"method="processMessage"/>
<int-kafka:consumer-context id="consumerContext"
consumer-timeout="1000"zookeeper-connect="zookeeperConnect"
consumer-properties="consumerProperties">
<int-kafka:consumer-configurations>
<int-kafka:consumer-configuration
group-id="default1"value-decoder="kafkaDecoder"key-decoder="kafkaDecoder"
max-messages="5000">
<!-- 两个TOPIC配置 -->
<int-kafka:topic id="mytopic"streams="4"/>
<int-kafka:topic id="sunneytopic"streams="4"/>
</int-kafka:consumer-configuration>
</int-kafka:consumer-configurations>
</int-kafka:consumer-context>
</beans>
|
2、spring-kafka-producer.xml
?
<?xml version="1.0"encoding="UTF-8"?>
<beans xmlns="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchemainstance"
xmlns:int="http://www.springframework.org/schema/integration"
xmlns:int-kafka="http://www.springframework.org/schema/integration/kafka"
xmlns:task="http://www.springframework.org/schema/task"
xsi:schemaLocation="http://www.springframework.org/schema/integration/kafka http://www.springframework.org/schema/integration/kafka/spring-integration-kafka.xsd
http://www.springframework.org/schema/integration
http://www.springframework.org/schema/integration/spring-integration.xsd
http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd
http://www.springframework.org/schema/task http://www.springframework.org/schema/task/spring-task.xsd">
<!-- commons config -->
<bean id="stringSerializer"class="org.apache.kafka.common.serialization.StringSerializer"/>
<bean id="kafkaEncoder"
class="org.springframework.integration.kafka.serializer.avro.AvroReflectDatumBackedKafkaEncoder">
<constructor-arg value="java.lang.String"/>
</bean>
<bean id="producerProperties"
class="org.springframework.beans.factory.config.PropertiesFactoryBean">
<property name="properties">
<props>
<prop key="topic.metadata.refresh.interval.ms">3600000</prop>
<prop key="message.send.max.retries">5</prop>
<prop key="serializer.class">kafka.serializer.StringEncoder</prop>
<prop key="request.required.acks">1</prop>
</props>
</property>
</bean>
<!-- topic test config -->
<int:channel id="kafkaTopicTest">
<int:queue />
</int:channel>
<int-kafka:outbound-channel-adapter
id="kafkaOutboundChannelAdapterTopicTest"kafka-producer-context-ref="producerContextTopicTest"
auto-startup="true"channel="kafkaTopicTest"order="3">
<int:poller fixed-delay="1000"time-unit="MILLISECONDS"
receive-timeout="1"task-executor="taskExecutor"/>
</int-kafka:outbound-channel-adapter>
<task:executor id="taskExecutor"pool-size="5"
keep-alive="120"queue-capacity="500"/>
<!-- <bean id="kafkaEncoder"
class="org.springframework.integration.kafka.serializer.avro.AvroSpecificDatumBackedKafkaEncoder">
<constructor-arg value="com.company.AvroGeneratedSpecificRecord"/>
</bean> -->
<int-kafka:producer-context id="producerContextTopicTest"
producer-properties="producerProperties">
<int-kafka:producer-configurations>
<!-- 多个topic配置 -->
<int-kafka:producer-configuration
broker-list="192.168.1.237:9090,192.168.1.237:9091,192.168.1.237:9092"
key-serializer="stringSerializer"
value-class-type="java.lang.String"
value-serializer="stringSerializer"
topic="mytopic"/>
<int-kafka:producer-configuration
broker-list="192.168.1.237:9090,192.168.1.237:9091,192.168.1.237:9092"
key-serializer="stringSerializer"
value-class-type="java.lang.String"
value-serializer="stringSerializer"
topic="sunneytopic"/>
</int-kafka:producer-configurations>
</int-kafka:producer-context>
</beans>
|
3、发消息接口 KafkaService
?
packagecom.sunney.service;
/**
* 类KafkaService.java的实现描述：发消息接口类
* @author Sunney 2016年4月30日 上午11:30:53
*/
publicinterfaceKafkaService {
/**
* 发消息
* @param topic 主题
* @param obj 发送内容
*/
publicvoidsendUserInfo(String topic, Object obj);
}
|
4、发消息实现类 KafkaServiceImpl
?
packagecom.sunney.service.impl;
importorg.springframework.beans.factory.annotation.Autowired;
importorg.springframework.beans.factory.annotation.Qualifier;
importorg.springframework.integration.kafka.support.KafkaHeaders;
importorg.springframework.integration.support.MessageBuilder;
importorg.springframework.messaging.MessageChannel;
importorg.springframework.stereotype.Service;
importcom.sunney.service.KafkaService;
/**
* 类KafkaServiceImpl.java的实现描述：发消息实现类
* @author Sunney 2016年4月30日 上午11:31:13
*/
@Service("kafkaService")
publicclassKafkaServiceImpl implementsKafkaService{
@Autowired
@Qualifier("kafkaTopicTest")
MessageChannel channel;
publicvoidsendUserInfo(String topic, Object obj) {
channel.send(MessageBuilder.withPayload(obj)
.setHeader(KafkaHeaders.TOPIC,topic)
.build());
}
}
|
5、消费接收类KafkaConsumerService
?
packagecom.sunney.service.impl;
importjava.util.Collection;
importjava.util.Iterator;
importjava.util.LinkedHashMap;
importjava.util.List;
importjava.util.Map;
importjava.util.Set;
importorg.slf4j.Logger;
importorg.slf4j.LoggerFactory;
importcom.alibaba.fastjson.JSON;
importcom.sunney.service.UserDto;
/**
* 类KafkaConsumerService.java的实现描述：消费接收类
*
* @author Sunney 2016年4月30日 上午11:46:14
*/
publicclassKafkaConsumerService {
staticfinalLogger logger = LoggerFactory.getLogger(KafkaConsumerService.class);
publicvoidprocessMessage(Map<String, Map<Integer, String>> msgs) {
logger.info("===============processMessage===============");
for(Map.Entry<String, Map<Integer, String>> entry : msgs.entrySet()) {
logger.info("============Topic:"+ entry.getKey());
LinkedHashMap<Integer, String> messages = (LinkedHashMap<Integer, String>) entry.getValue();
Set<Integer> keys = messages.keySet();
for(Integer i : keys)
logger.info("======Partition:"+ i);
Collection<String> values = messages.values();
for(Iterator<String> iterator = values.iterator(); iterator.hasNext();) {
String message ="["+iterator.next()+"]";
logger.info("=====message:"+ message);
List<UserDto> userList = JSON.parseArray(message, UserDto.class);
logger.info("=====userList.size:"+ userList.size());
}
}
}
}
|
6、pom
?
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.integration</groupId>
<artifactId>spring-integration-kafka</artifactId>
<version>1.3.0.RELEASE</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.11</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId> org.apache.avro</groupId>
<artifactId>avro</artifactId>
<version>1.7.7</version>
</dependency>
<dependency>
<groupId>com.alibaba</groupId>
<artifactId>fastjson</artifactId>
<version>1.2.7</version>
</dependency>
</dependencies>
|
六、源代码地址：https://github.com/sunney2010/kafka-demo
七、遇到的问题
1、消费端口收不到消息
spring-kafka-consumer.xml的auto-startup设置为true
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