一、装置(联合zookeeper)
因为kafka须要依赖于zookeeper，因而在这里先装置zookeeper
1.拉取zookeeper镜像
docker pull wurstmeister/zookeeper2.启动zookeeper
docker run -d --name zookeeper -p 2181:2181 -e TZ="Asia/Shanghai" --restart always wurstmeister/zookeeper咱们能够查看zookeepr启动日志
docker logs -f zookeeper二、装置kafka
1.拉取kafka
docker pull wurstmeister/kafka2.启动kafka
docker run --name kafka \-p 9092:9092 \-e KAFKA_BROKER_ID=0 \-e KAFKA_ZOOKEEPER_CONNECT=<本人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 \-d wurstmeister/kafka三、装置kafka-Map可视化界面
1.拉取kafka-manager镜像
docker pull sheepkiller/kafka-manager2.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
留神: 我这边应用的是腾讯云的轻量服务器,kafka启动时回去连贯zookeeper,所以大家肯定要记得凋谢zookeeper的端口拜访限度;
五、登录kafka-Map
账户和明码都是刚刚启动时设置的,咱们能够看到以后集群,主题topic,Broker以及生产组,工具的具体应用在这就不多做解说了,能够问下度娘,有很具体的应用的教程
六、SpringBoot我的项目集成
1.新建boot我的项目,并导入相干依赖
<parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>2.2.2.RELEASE</version> <relativePath/> <!-- lookup parent from repository --> </parent> <dependencies> <dependency> <groupId>org.projectlombok</groupId> <artifactId>lombok</artifactId> <version>1.18.24</version> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.springframework.kafka</groupId> <artifactId>spring-kafka</artifactId> <version>2.3.4.RELEASE</version> </dependency> </dependencies>2.新建目录构造
3. yml中的配置
4.我的项目代码:
config:
package com.kafka.config;import lombok.extern.slf4j.Slf4j;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<String,Object> producerConfigs(){ Map<String, Object> 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<String,String> producerFactory() { return new DefaultKafkaProducerFactory<>(producerConfigs()); } /** * 生产者模板 */ @Bean public KafkaTemplate<String, String> kafkaTemplate() { return new KafkaTemplate<>(producerFactory()); } /** * 消费者配置信息 */ @Bean public Map<String, Object> consumerConfigs() { Map<String, Object> 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<Integer, String> factory = new ConcurrentKafkaListenerContainerFactory<>(); factory.setConsumerFactory(new DefaultKafkaConsumerFactory<>(consumerConfigs())); //设置为批量生产，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<String, String> 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 xiaozhou * <p></p> */@Slf4j@Componentpublic class BaseKafkaProducer { private final KafkaTemplate<String, String> kafkaTemplate; public BaseKafkaProducer(KafkaTemplate<String, String> kafkaTemplate) { this.kafkaTemplate = kafkaTemplate; } /** * 发送kafka信息 * * @param topic * @param key * @param msg 0:代表指定分区 */ @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<SendResult<String, String>> future = kafkaTemplate.send(topic, partition, key, msg); future.addCallback(new ListenableFutureCallback<SendResult<String, String>>() { @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<String, String> 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 msgList */ @Async public void sendBatch(String topic, String key, List<String> 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 * <p></p> */@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 xiaozhou * <p></p> */@Slf4j@Servicepublic class DemoConsumer {// @KafkaListener(topics = "demo", groupId = "kafka-demo") @KafkaListener(topicPartitions = { @TopicPartition(topic = "demo",partitions = {"0"}) }) public void listen(ConsumerRecord<String, String> record) { System.out.println("topic:" + record.topic() + ",key:" + record.key() + ",value:" + record.value()); System.out.println("kafka报文信息:" + record.value()); }}5.启动我的项目
至此,kafka简易版demo搭建并测试通过,我集体认为,关键点在于zookeeper的装置,以及后续代码中对kafka的配置;因为这个版本的demo没有去开明kafka的平安认证,绝对于简略,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,大家能够参考一下我的,,如有大佬,勿喷.......