SpringBoot成长笔记（四）整合kafka
目录
springboot作为微服务，集成kafka的场景导出可用，实现的方式也很多，可用使用kafka原生的代码，尤其是springboot新版本兼容老的kafka版本的时候，也可以使用集成kafka的方式。
环境准备
开发环境准备好，此处不多说：
- springboot版本2.0.4.RELEASE，kafka我们使用kafka_2.12-1.0.1 ；
- idea,jdk1.8
- 开始
window环境启动kafka
现在kafka版本 [link] http://kafka.apache.org/
启动zookeeper
启动kafka
创建topic
kafka-topics.bat --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic test
不创建的话，kafka这个版本也会自动创建topic
生成者和消费者测试
代码
配置文件
#自定义属性
tcp.switch=true
#日志配置
logging.level.root=debug
#logging.path.classpth=logback-spring.xml.bak
logging.path.classpth=log4j2-spring.xml
#kafka生产者自定义配置
kafka.producer.servers=127.0.0.1:9092
kafka.producer.retries=0
kafka.producer.batch.size=4096
kafka.producer.linger=1
kafka.producer.buffer.memory=40960
#kafka消费者自定义配置
kafka.consumer.zookeeper.connect=127.0.0.1:2181
#bootstrap-servers
kafka.consumer.servers=127.0.0.1:9092
kafka.consumer.enable.auto.commit=true
kafka.consumer.session.timeout=6000
kafka.consumer.auto.commit.interval=100
# earliest
kafka.consumer.auto.offset.reset=latest
kafka.consumer.topic=test
kafka.consumer.group.id=test
kafka.consumer.concurrency=10
kafka.consumer.max.partition.fetch.bytes = 104857600
kafka.consumer.heartbeat.interval.ms=10000
生产者配置
package com.mhm.kafka.producer;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.common.serialization.StringSerializer;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Primary;
import org.springframework.kafka.core.DefaultKafkaProducerFactory;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.core.ProducerFactory;
import java.util.HashMap;
import java.util.Map;
/**
* Created by MHmon 2018/11/1.
*/
public class KafkaProducerConfig {
@Value("${kafka.producer.servers}")
private String servers;
@Value("${kafka.producer.retries}")
private String retries;
@Value("${kafka.producer.batch.size}")
private int batchSize;
@Value("${kafka.producer.linger}")
private int linger;
@Value("${kafka.producer.buffer.memory}")
private int bufferMemory;
public Map<String, Object> producerConfigs() {
Map<String, Object> props = new HashMap<>();
props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, servers);
props.put(ProducerConfig.RETRIES_CONFIG, retries);
props.put(ProducerConfig.BATCH_SIZE_CONFIG, batchSize);
props.put(ProducerConfig.LINGER_MS_CONFIG, linger);
props.put(ProducerConfig.BUFFER_MEMORY_CONFIG, bufferMemory);
props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
return props;
}
public ProducerFactory<String, String> producerFactory() {
return new DefaultKafkaProducerFactory<>(producerConfigs());
}
@Bean
@Primary
public KafkaTemplate<String, String> kafkaTemplate() {
return new KafkaTemplate<String, String>(producerFactory());
}
@Bean
public KafkaProducer sender() {
return new KafkaProducer();
}
}
消费者配置
package com.mhm.kafka.consumer;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.kafka.annotation.EnableKafka;
import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory;
import org.springframework.kafka.config.KafkaListenerContainerFactory;
import org.springframework.kafka.core.ConsumerFactory;
import org.springframework.kafka.core.DefaultKafkaConsumerFactory;
import org.springframework.kafka.listener.ConcurrentMessageListenerContainer;
import java.util.HashMap;
import java.util.Map;
/**
* Created by MHm on 2018/11/1.
*/
@Configuration
@EnableKafka
public class KafkaConsumerConfig {
@Value("${kafka.consumer.servers}")
private String servers;
@Value("${kafka.consumer.enable.auto.commit}")
private boolean enableAutoCommit;
@Value("${kafka.consumer.session.timeout}")
private String sessionTimeout;
@Value("${kafka.consumer.auto.commit.interval}")
private String autoCommitInterval;
@Value("${kafka.consumer.group.id}")
private String groupId;
@Value("${kafka.consumer.auto.offset.reset}")
private String autoOffsetReset;
@Value("${kafka.consumer.concurrency}")
private int concurrency;
@Bean
public KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<String, String>> kafkaListenerContainerFactory() {
ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
factory.setConsumerFactory(consumerFactory());
factory.setConcurrency(concurrency);
factory.getContainerProperties().setPollTimeout(1500);
return factory;
}
public ConsumerFactory<String, String> consumerFactory() {
return new DefaultKafkaConsumerFactory<>(consumerConfigs());
}
public Map<String, Object> consumerConfigs() {
Map<String, Object> propsMap = new HashMap<>();
propsMap.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, servers);
propsMap.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, enableAutoCommit);
propsMap.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, autoCommitInterval);
propsMap.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, sessionTimeout);
propsMap.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
propsMap.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
propsMap.put(ConsumerConfig.GROUP_ID_CONFIG, groupId);
propsMap.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, autoOffsetReset);
return propsMap;
}
@Bean
public KafkaConsumer listener() {
return new KafkaConsumer();
}
}
启动
发送kafka消息
控制台消息
上面的方式，我们采用的是自动提交的方式，下面我采用手动提交的方式。
自动提交修改为手动提交
kafka.consumer.enable.auto.commit=false
package com.mhm.component;
import lombok.extern.slf4j.Slf4j;
import org.springframework.stereotype.Component;
/**
* 手动提交的方式
* Created by MHmon 2018/11/2.
*/
@Slf4j
@Component
public class TopicReceiver {
// @KafkaListener(topics = "spring_boot_test", containerFactory = "kafkaListenerContainerFactory")
// public void receive(String record, Acknowledgment ack) {
// ack.acknowledge();
// log.info("facebase----------------------:{}",record);
// }
}
手动提交，配置项修改KafkaConsumerConfig.java
//设置了手动提交enable.auto.commit必须为false factory.getContainerProperties().setAckMode(AbstractMessageListenerContainer.AckMode.MANUAL);
我们可以根据不同topic订阅去消费处理不同的业务逻辑。
源码
源码：https://github.com/289562326/springbootdemo22