Spring-kafka入门使用Demo(超详细)---------无授权认证方式

Spring-kafka入门使用Demo(超详细)---------无授权认证方式

一、安装(结合zookeeper)

由于kafka需要依赖于zookeeper，因此在这里先安装zookeeper

1.拉取zookeeper镜像

docker pull wurstmeister/zookeeper

2.启动zookeeper

docker run -d --name zookeeper -p 2181:2181 -e TZ="Asia/Shanghai"

我们可以查看zookeepr启动日志

docker logs -f zookeeper

二、安装kafka

1.拉取kafka

docker pull wurstmeister/kafka

2.启动kafka

docker run --name kafka \-p 9092:9092 \-e KAFKA_BROKER_ID=0 \-e KAFKA_ZOOKEEPER_CONNECT=<自己zookeeper服务地址+端口> \-e KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://服务地址+:9092 \-e KAFKA_LISTENERS=PLAINTEXT://0.0.0.0:9092 \

三、安装kafka-Map可视化界面

1.拉取kafka-manager镜像

docker pull sheepkiller/kafka-manager

2.启动

docker run -d \-p 8080:8080 \-v /opt/kafka-map/data:/usr/local/kafka-map/data \-e DEFAULT_USERNAME=<初始账户>\-e DEFAULT_PASSWORD=<初始密码>\--name kafka-map \--restart always dushixiang/kafka-map:latest

四、查看运行状态

注意: 我这边使用的是腾讯云的轻量服务器,kafka启动时回去连接zookeeper,所以大家一定要记得开放zookeeper的端口访问限制;

五、登录kafka-Map

账户和密码都是刚刚启动时设置的,我们可以看到当前集群,主题topic,Broker以及消费组,工具的具体使用在这就不多做讲解了,可以问下度娘,有很详细的使用的教程

六、SpringBoot项目集成

1.新建boot项目,并导入相关依赖

org.springframework.boot spring-boot-starter-parent 2.2.2.RELEASE org.projectlombok lombok 1.18.24 org.springframework.boot spring-boot-starter-web org.springframework.kafka spring-kafka 2.3.4.RELEASE

2.新建目录结构

3. yml中的配置

4.项目代码:

config:

package com.kafka.config;import lombok.extern.slf4GSlf4j;import org.apache.kafka.clients.CommonClientConfigs;import org.apache.kafka.clients.admin.AdminClient;import org.apache.kafka.clients.consumer.ConsumerConfig;import org.apache.kafka.clients.producer.ProducerConfig;import org.apache.kafka.common.config.SaslConfigs;import org.apache.kafka.common.serialization.StringDeserializer;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.Configuration;import org.springframework.kafka.annotation.EnableKafka;import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory;import org.springframework.kafka.config.KafkaListenerContainerFactory;import org.springframework.kafka.core.*;import java.util.HashMap;import java.util.Map;@Slf4j@Configuration@EnableKafkapublic class KafkaConfiguration{ @Value("${spring.kafka.bootstrap-servers}") private String bootstrapServers; @Value("${spring.kafka.consumer.enable-auto-commit}") private Boolean autoCommit; @Value("${spring.kafka.consumer.auto-commit-interval}") private Integer autoCommitInterval; @Value("${spring.kafka.consumer.group-id}") private String groupId; @Value("${spring.kafka.consumer.auto-offset-reset}") private String autoOffsetReset; @Value("${spring.kafka.consumer.max-poll-records}") private Integer maxPollRecords; @Value("${spring.kafka.producer.batch-size}") private Integer batchSize; @Value("${spring.kafka.producer.buffer-memory}") private Integer bufferMemory; @Value("${spring.kafka.producer.retries}") private Integer retries;// @Value("${spring.kafka.producer.properties.sasl.jaas.config}")// private String producerJaasConfig;//// @Value("${spring.kafka.consumer.properties.sasl.jaas.config}")// private String consumerJaasConfig; /** * 生产者配置信息 */ @Bean public Map producerConfigs(){ Map props = new HashMap<>(); props.put(ProducerConfig.ACKS_CONFIG, "0"); props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers); props.put(ProducerConfig.RETRIES_CONFIG, retries); props.put(ProducerConfig.BATCH_SIZE_CONFIG, batchSize); props.put(ProducerConfig.LINGER_MS_CONFIG, 1); 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);// props.put(CommonClientConfigs.SECURITY_PROTOCOL_CONFIG, "SASL_PLAINTEXT");// props.put(SaslConfigs.SASL_MECHANISM, "PLAIN");// props.put("sasl.jaas.config",producerJaasConfig); return props; } /** * 生产者工厂 */ @Bean public ProducerFactory producerFactory(){ return new DefaultKafkaProducerFactory<>(producerConfigs()); } /** * 生产者模板 */ @Bean public KafkaTemplate kafkaTemplate(){ return new KafkaTemplate<>(producerFactory()); } /** * 消费者配置信息 */ @Bean public Map consumerConfigs(){ Map props = new HashMap<>(); props.put(ConsumerConfig.ALLOW_AUTO_CREATE_TOPICS_CONFIG,false); props.put(ConsumerConfig.GROUP_ID_CONFIG, groupId); props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, autoOffsetReset); props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers); props.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, maxPollRecords); props.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, 120000); props.put(ConsumerConfig.REQUEST_TIMEOUT_MS_CONFIG, 180000); props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class); props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);// props.put(CommonClientConfigs.SECURITY_PROTOCOL_CONFIG, "SASL_PLAINTEXT");// props.put(SaslConfigs.SASL_MECHANISM, "PLAIN");// props.put("sasl.jaas.config",consumerJaasConfig); props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, autoCommit); return props; } /** * 消费者批量工厂 */ @Bean public KafkaListenerContainerFactory batchFactory() { ConcurrentKafkaListenerContainerFactory factory = new ConcurrentKafkaListenerContainerFactory<>(); factory.setConsumerFactory(new DefaultKafkaConsumerFactory<>(consumerConfigs())); //设置为批量消费，每个批次数量在Kafka配置参数中设置ConsumerConfig.MAX_POLL_RECORDS_CONFIG factory.setBatchListener(true); return factory; } /*================================= 新加的 ================================*/ @Bean("adminClient") public AdminClient adminClient(){ KafkaAdmin kafkaAdmin = new KafkaAdmin(consumerConfigs()); return AdminClient.create(kafkaAdmin.getConfig()); }// @Bean("messageProducer")// public MessageProducer messageProducer(KafkaTemplate kafkaTemplate,// RedissonClient redissonClient) {// return new MessageProducer(kafkaTemplate, redissonClient);// }//// @Bean("messageTopicGenerator")// public MessageTopicGenerator messageTopicGenerator(@Qualifier("adminClient") AdminClient adminClient,// RedissonClient redissonClient,// StringRedisTemplate stringRedisTemplate,// ApplicationContext applicationContext,// Environment environment) {// return new MessageTopicGenerator(adminClient, redissonClient,// stringRedisTemplate, applicationContext, environment);// }

kafka

package com.kafka.kafka;import com.sun.org.glassfish.external.statistics.Statistic;import lombok.extern.slf4j.Slf4j;import org.springframework.kafka.core.KafkaTemplate;import org.springframework.kafka.support.SendResult;import org.springframework.scheduling.annotation.Async;import org.springframework.stereotype.Component;import org.springframework.util.concurrent.ListenableFuture;import org.springframework.util.concurrent.ListenableFutureCallback;import java.util.List;/** * @author@Slf4j@Componentpublic class BaseKafkaProducer{ private final KafkaTemplate kafkaTemplate; public BaseKafkaProducer(KafkaTemplate kafkaTemplate){ this.kafkaTemplate = kafkaTemplate; } /** * 发送kafka信息 * * @param topic * @param key * @param @Async public void send(String topic, String key, String msg){ send(topic, key, 0, msg); } public void send(String topic, String key, Integer partition, String msg){ ListenableFuture> future = kafkaTemplate.send(topic, partition, key, msg); future.addCallback(new ListenableFutureCallback>() { @Override public void onFailure(Throwable e){ //System.out.println("kafka producer fail:" + e.getMessage()); log.debug("kafka producer fail:{}", e.getMessage()); } @Override public void onSuccess(SendResult sendResult){ //System.out.println("kafka producer success:" + sendResult.toString()); log.debug("kafka producer success:{}", sendResult.toString()); } }); } /** * 批量发送 * * @param topic * @param key * @param @Async public void sendBatch(String topic, String key, List msgList){ msgList.forEach(item -> { send(topic, key, item); }); }}

测试controller

package com.kafka.controller;import com.kafka.kafka.BaseKafkaProducer;import org.springframework.beans.factory.annotation.Autowired;import org.springframework.web.bind.annotation.*;/** * @author xiaozhou * */@RestController@RequestMapping("/kafka")public class DemoController { @Autowired private BaseKafkaProducer baseKafkaProducer; @GetMapping("/msg/send") public String send(@RequestParam(value = "id")Integer id) { baseKafkaProducer.send("demo","123",id.toString()); return "success"; }}

消费者:

package com.kafka.consumer;import lombok.extern.slf4j.Slf4j;import org.apache.kafka.clients.consumer.ConsumerRecord;import org.springframework.kafka.annotation.KafkaListener;import org.springframework.kafka.annotation.TopicPartition;import org.springframework.stereotype.Service;/** * @author@Slf4j@Servicepublic class DemoConsumer{// @KafkaListener(topics = "demo", groupId = "kafka-demo") @KafkaListener(topicPartitions = { @TopicPartition(topic = "demo",partitions = {"0"}) }) public void listen(ConsumerRecord record){ System.out.println("topic:" + record-ic() + ",key:" + record.key() + ",value:" + record.value()); System.out.println("kafka报文信息:"

5.启动项目

至此,kafka简易版demo搭建并测试通过,我个人认为,关键点在于zookeeper的安装,以及后续代码中对kafka的配置;由于这个版本的demo没有去开通kafka的安全认证,相对于简单,另外一个比较烦人的就是序列化问题,我刚开始的时候就在序列化问题上卡了很久,大家可以参考一下我的,,如有大佬,勿喷.......

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