关于前端:Springkafka入门使用Demo超详细无授权认证方式

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/zookeeper

2. 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/kafka

2. 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-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

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
@EnableKafka
public 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
@Component
public 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
@Service
public 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 …….