引入pom依赖,建议使用gson解析kafka数据,使用fastjson解析有时会出现问题。
<dependency>
<groupId>com.google.code.gson</groupId>
<artifactId>gson</artifactId>
<version>2.8.2</version>
</dependency>
<dependency>
<groupId>org.springframework.kafka</groupId>
<artifactId>spring-kafka</artifactId>
</dependency>
application.properties配置
#消费端配置
kafka.consumer.bootstrap-servers=23.99.189.34:9092,23.99.189.87:9092,23.99.189.98:9092,23.99.189.105:9092,23.99.189.126:9092
kafka.consumer.group-id=group_kafka
kafka.consumer.key-deserializer=org.springframework.kafka.support.serializer.JsonSerializer
kafka.consumer.value-deserializer=org.springframework.kafka.support.serializer.JsonSerializer
kafka.consumer.enable-auto-commit=false
kafka.consumer.session.timeout=30000
kafka.consumer.concurrency=3
#kafka.consumer.auto-offset-reset=latest
kafka.consumer.auto-offset-reset=earliest
kafka.consumer.auto.commit.interval.ms=120000
kafka.consumer.properties.request.timeout.ms=180000
#生产端配置
spring.kafka.bootstrap-servers=23.99.189.34:9092,23.99.189.87:9092,23.99.189.98:9092,23.99.189.105:9092,23.99.189.126:9092
spring.kafka.producer.retries=0
spring.kafka.producer.acks=all
kafka.producer.topic=abnormal_people
spring.kafka.producer.batch-size=16384
spring.kafka.producer.properties.linger.ms=0
spring.kafka.producer.buffer-memory = 33554432
spring.kafka.producer.key-serializer=org.springframework.kafka.support.serializer.JsonSerializer
spring.kafka.producer.value-serializer=org.springframework.kafka.support.serializer.JsonSerializer
消费者配置
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 org.springframework.kafka.listener.ContainerProperties;
import java.util.HashMap;
import java.util.Map;
@Configuration
@EnableKafka
public class kafkaConsumerConfig {
@Value("${kafka.consumer.bootstrap-servers}")
private String servers;
@Value("${kafka.consumer.enable-auto-commit}")
private boolean enableAutoCommit;
@Value("${kafka.consumer.session.timeout}")
private String sessionTimeout;
@Value("${kafka.consumer.auto.commit.interval.ms}")
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("kafkaListenerContainnerContainerFactory")
public KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<String, String>> kafkaListenerContainerFactory() {
ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
factory.setConsumerFactory(consumerFactory());
factory.setConcurrency(concurrency);
factory.getContainerProperties().setAckMode(ContainerProperties.AckMode.MANUAL_IMMEDIATE);
factory.getContainerProperties().setPollTimeout(1500);
return factory;
}
private ConsumerFactory<String, String> consumerFactory() {
return new DefaultKafkaConsumerFactory<>(consumerConfigs());
}
private 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.HEARTBEAT_INTERVAL_MS_CONFIG,100);
propsMap.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, autoOffsetReset);
//kafka有jaas验证配置
propsMap.put("sasl.jaas.config","org.apache.kafka.common.security.plain.PlainLoginModule required username=\"cigc_dsjj\" password=\"1qaz2wsx\";");
//kafka有jaas验证配置
propsMap.put("sasl.mechanism","PLAIN");
//kafka有jaas验证配置
propsMap.put("security.protocol", "SASL_PLAINTEXT");
return propsMap;
}
}
消费者
package com.abc.renchewu.kafka;
import com.abc.renchewu.kafka.entity.CarEntity;
import com.google.gson.Gson;
import lombok.extern.slf4j.Slf4j;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.kafka.support.Acknowledgment;
import org.springframework.stereotype.Component;
import java.util.Optional;
/**
* kafka监听消费
* @author ws
*
*/
@Component
@Slf4j
public class KafkaConsumerListener {
@KafkaListener(topics = "CIGC_DSJJ_COV19_AREA", containerFactory = "kafkaListenerContainnerContainerFactory")
public void listenOnMessageManual(ConsumerRecord<String, String> record,
Acknowledgment ack) {
Optional<?> kafkaMessage = Optional.ofNullable(record.value());
if (kafkaMessage.isPresent()) {
Gson gson = new Gson();
log.info("接收车辆消息:{}", kafkaMessage.get());
CarEntity carEntity = gson.fromJson(kafkaMessage.get().toString(), CarEntity.class);
//手动签收
ack.acknowledge();
}
}
}
生产者
package com.dcqc.kafkatranscode.utils;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.stereotype.Component;
@Component
@Slf4j
public class kafkaUtils {
@Value("${kafka.producer.topic}")
private String topicName;
@Autowired
private KafkaTemplate kafkaTemplate;
/**
* 发送kafka消息
*/
public void send(String jsonMessage) {
kafkaTemplate.send(topicName, jsonMessage);
}
}
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