docker-compose 搭建 kafka

1. 配置:

version: '3.2'
services:
  zookeeper:
    image: wurstmeister/zookeeper
    container_name: zookeeper
    ports:
      - "2181:2181"
    restart: always
  kafka:
    image: wurstmeister/kafka
    container_name: kafka
    ports:
      - "9092:9092"
    environment:
      - KAFKA_ZOOKEEPER_CONNECT=zookeeper:2181
      - KAFKA_ADVERTISED_LISTENERS=PLAINTEXT://服务器IP:9092
      - KAFKA_LISTENERS=PLAINTEXT://:9092
    volumes:
      - /var/run/docker.sock:/var/run/docker.sock
    restart: always

2. 测试:

通过容器名称进入到kafka容器中：

docker exec -it kafka /bin/bash

创建一个名称为test的topic：

kafka-topics.sh --create --topic test \
--zookeeper zookeeper:2181 --replication-factor 1 \
--partitions 1

查看刚刚创建的topic信息：

kafka-topics.sh --zookeeper zookeeper:2181 \
--describe --topic test

打开生产者发送若干条消息：

kafka-console-producer.sh --topic=test \
--broker-list kafka:9092

开发消费者接收消息：

kafka-console-consumer.sh \
--bootstrap-server kafka:9092 \
--from-beginning --topic test

如果可以成功接收到消息，则说明kafka已经启动成功了，可以进行本地开发以及调试工作了。

3. SpringBoot集成

SpringBoot 1.5.x

依赖

<dependency>
    <groupId>org.springframework.kafka</groupId>
    <artifactId>spring-kafka</artifactId>
    <version>1.2.1.RELEASE</version>
</dependency>

KafkaProducerConfig.java

import java.util.HashMap;
import java.util.Map;

import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.common.serialization.StringSerializer;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.kafka.annotation.EnableKafka;
import org.springframework.kafka.core.DefaultKafkaProducerFactory;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.core.ProducerFactory;

@Configuration
@EnableKafka
public class KafkaProducerConfig {

    public Map<String, Object> producerConfig(){
        Map<String, Object> props = new HashMap<>();
        props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "10.143.47.32:9092");
        props.put(ProducerConfig.RETRIES_CONFIG, 0);
        props.put(ProducerConfig.BATCH_SIZE_CONFIG, 1000);
        props.put(ProducerConfig.LINGER_MS_CONFIG, 1);
        props.put(ProducerConfig.BUFFER_MEMORY_CONFIG, 40960);
        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<>(producerConfig());
    }
    @Bean
    public KafkaTemplate<String, String> kafkaTemplate() {
        return new KafkaTemplate<String, String>(producerFactory());
    }
}

KafkaConsumerConfig.java

import java.util.HashMap;
import java.util.Map;

import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.apache.kafka.common.serialization.StringSerializer;
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.core.DefaultKafkaProducerFactory;
import org.springframework.kafka.listener.ConcurrentMessageListenerContainer;

import com.yue.practise.consumer.MsgConsumer;

@Configuration
@EnableKafka
public class KafkaConsumerConfig {

    public Map<String, Object> consumerConfig(String consumerGroupId){
        Map<String, Object> props = new HashMap<>();
        props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "10.143.47.32:9092");
        props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, false);
        props.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG, "100");
        props.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG, "15000");
        props.put(ConsumerConfig.GROUP_ID_CONFIG, consumerGroupId);
        props.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        return props;
    }
    public ConsumerFactory<String, String> consumerFactory(String consumerGroupId) {
        return new DefaultKafkaConsumerFactory<>(consumerConfig(consumerGroupId));
    }
    
     
     
     @Bean(name="kafkaListenerContainerFactory")
     public KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<String, String>> kafkaListenerContainerFactory() {
          ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
          factory.setConsumerFactory(consumerFactory("groupA"));
          factory.setConcurrency(3);
          factory.getContainerProperties().setPollTimeout(3000);
          return factory;
     }
     
     @Bean(name="kafkaListenerContainerFactory1")
     public KafkaListenerContainerFactory<ConcurrentMessageListenerContainer<String, String>> kafkaListenerContainerFactory1() {
          ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
          factory.setConsumerFactory(consumerFactory("groupB"));
          factory.setConcurrency(3);
          factory.getContainerProperties().setPollTimeout(3000);
          return factory;
     }
}

MsgProducer.java

import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.stereotype.Component;

@Component
public class MsgProducer {

    @Autowired
    private KafkaTemplate<String, String> kafkaTemplate;
    
    public void send(String value){
        System.out.println("send start-----------");
        kafkaTemplate.send("test", value+"1");
        kafkaTemplate.send("test", "key1", value+"2");
        System.out.println("send end-----------");
    }
}

MsgConsumer.java

import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.stereotype.Component;


@Component
public class MsgConsumer {
    static Logger subscribelogger = LoggerFactory.getLogger("subscribelogger");
    
    @KafkaListener(topics="test",containerFactory="kafkaListenerContainerFactory")
    public void processMsg(ConsumerRecord<?, ?> record){
        subscribelogger.info("{}|{}|{}|{}",record.topic(),record.partition(),record.offset(),record.value());    
    }
    
    @KafkaListener(topics="test",containerFactory="kafkaListenerContainerFactory1")
    public void processMsg1(ConsumerRecord<?, ?> record){
        subscribelogger.info("{}|{}|{}|{}",record.topic(),record.partition(),record.offset(),record.value());    
    }
    
}

参考:

• https://www.cnblogs.com/snow-backup/p/12750602.html
• https://blog.csdn.net/qq_26375325/article/details/105251205
• https://www.jianshu.com/p/7adf8c1d99fd