kafka基本使用

1. 配置application.properties

server.port=8080
spring.kafka.bootstrap-servers=192.168.9.137:9092
spring.kafka.producer.retries=3
spring.kafka.producer.batch-size=16384
spring.kafka.producer.buffer-memory=33554432
spring.kafka.producer.acks=1
spring.kafka.consumer.max-poll-records=2000
spring.kafka.producer.linger=10
spring.kafka.producer.key-serializer=org.apache.kafka.common.serialization.StringDeserializer
spring.kafka.producer.value-serializer=org.apache.kafka.common.serialization.StringSerializer
spring.kafka.consumer.group-id=default-group
spring.kafka.consumer.enable-auto-commit=false
spring.kafka.consumer.auto-offset-reset=earliest
spring.kafka.consumer.key-deserializer=org.apache.kafka.common.serialization.StringDeserializer
spring.kafka.consumer.value-serializer=org.apache.kafka.common.serialization.StringSerializer
spring.kafka.listener.ack-mode=MANUAL_IMMEDIATE

　

package com.example.kafkademo;

import org.apache.kafka.clients.admin.AdminClient;
import org.apache.kafka.clients.admin.AdminClientConfig;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.producer.ProducerConfig;
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 org.springframework.kafka.listener.ContainerProperties;

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

/**
 * @Author: John
 * @Date: 2021.11.3 16:27
 */
@Configuration
@EnableKafka
public class KafkaConfig {

    @Value("${spring.kafka.bootstrap-servers}")
    private String bootstrapServers;

    @Value("${spring.kafka.consumer.group-id}")
    private String groupId;

    @Value("${spring.kafka.consumer.enable-auto-commit}")
    private Boolean autoCommit;

    @Value("${spring.kafka.consumer.auto-offset-reset}")
    private String autoOffsetReset;

    @Value("${spring.kafka.consumer.max-poll-records}")
    private Integer maxPollRecords;

    @Value("${spring.kafka.producer.linger}")
    private int linger;

    @Value("${spring.kafka.producer.retries}")
    private Integer retries;

    @Value("${spring.kafka.producer.batch-size}")
    private Integer batchSize;

    @Value("${spring.kafka.producer.buffer-memory}")
    private Integer bufferMemory;


    //cankao :https://blog.csdn.net/tmeng521/article/details/90901925
    public Map<String, Object> producerConfigs() {

        Map<String, Object> props = new HashMap<>();
        props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
        //设置重试次数
        props.put(ProducerConfig.RETRIES_CONFIG, retries);
        //达到batchSize大小的时候会发送消息
        props.put(ProducerConfig.BATCH_SIZE_CONFIG, batchSize);
        //延时时间，延时时间到达之后计算批量发送的大小没达到也发送消息
        props.put(ProducerConfig.LINGER_MS_CONFIG, linger);
        //缓冲区的值
        props.put(ProducerConfig.BUFFER_MEMORY_CONFIG, bufferMemory);
        //序列化手段
        props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        //producer端的消息确认机制,-1和all都表示消息不仅要写入本地的leader中还要写入对应的副本中
        props.put(ProducerConfig.ACKS_CONFIG, "-1");//单个brok 推荐使用'1'
        //单条消息的最大值以字节为单位,默认值为1048576
        props.put(ProducerConfig.LINGER_MS_CONFIG, 10485760);
        //设置broker响应时间，如果broker在60秒之内还是没有返回给producer确认消息，则认为发送失败
        props.put(ProducerConfig.REQUEST_TIMEOUT_MS_CONFIG, 60000);
        //指定拦截器(value为对应的class)
        //props.put(ProducerConfig.INTERCEPTOR_CLASSES_CONFIG, "com.te.handler.KafkaProducerInterceptor");
        //设置压缩算法(默认是木有压缩算法的)
        props.put(ProducerConfig.COMPRESSION_TYPE_CONFIG, "snappy");//snappy
        return props;
    }
    @Bean //创建一个kafka管理类，相当于rabbitMQ的管理类rabbitAdmin,没有此bean无法自定义的使用adminClient创建topic
    public KafkaAdmin kafkaAdmin() {
        Map<String, Object> props = new HashMap<>();
        //配置Kafka实例的连接地址
        //kafka的地址，不是zookeeper
        props.put(AdminClientConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
        KafkaAdmin admin = new KafkaAdmin(props);
        return admin;
    }

    @Bean  //kafka客户端，在spring中创建这个bean之后可以注入并且创建topic,用于集群环境，创建对个副本
    public AdminClient adminClient() {
        return AdminClient.create(kafkaAdmin().getConfigurationProperties());
    }

    @Bean
    public ProducerFactory<String, String> producerFactory() {
        return new DefaultKafkaProducerFactory<>(producerConfigs());
    }
    @Bean
    public KafkaTemplate<String, String> kafkaTemplate() {
        return new KafkaTemplate<>(producerFactory());
    }
    @Bean
    public Map<String, Object> consumerConfigs() {
        Map<String, Object> props = new HashMap<>();
        props.put(ConsumerConfig.GROUP_ID_CONFIG, groupId);
        props.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, autoCommit);
        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, 180000);
//        props.put(ConsumerConfig.REQUEST_TIMEOUT_MS_CONFIG, 900000);
//        props.put(ConsumerConfig.MAX_POLL_INTERVAL_MS_CONFIG, 900000);
        props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
        return props;
    }

    @Bean
    public KafkaListenerContainerFactory<?> batchFactory() {
        ConcurrentKafkaListenerContainerFactory<Integer, String> 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);
        // set the retry template
//        factory.setRetryTemplate(retryTemplate());
        factory.getContainerProperties().setAckMode(ContainerProperties.AckMode.MANUAL);
        return factory;
    }
}

package com.example.kafkademo;

import org.apache.kafka.clients.admin.AdminClient;
import org.apache.kafka.clients.admin.CreateTopicsResult;
import org.apache.kafka.clients.admin.ListTopicsResult;
import org.apache.kafka.clients.admin.NewTopic;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;

import java.util.Arrays;
import java.util.Set;
import java.util.concurrent.ExecutionException;

@RestController
public class KafkaController {

    private final static String TOPIC_NAME = "my-replicated-topic";

    @Autowired
    private KafkaTemplate<String, String> kafkaTemplate;

    @Autowired //
    private AdminClient adminClient;

    @RequestMapping("/send")
    public void send() {
        kafkaTemplate.send(TOPIC_NAME, 0, "key", "this is a msg");
    }


    @RequestMapping("/create_topic")
    public Set<String> createTopic() throws InterruptedException, ExecutionException {
        NewTopic topic = new NewTopic("topic.manual.create", 1, (short) 1);
        CreateTopicsResult topics = adminClient.createTopics(Arrays.asList(topic));

        Thread.sleep(1000);
        ListTopicsResult listTopics = adminClient.listTopics();
        Set<String> topicset = listTopics.names().get();

        for (String topicc : topicset) {
            System.out.println(topicc);
        }
        return topicset;

    }


}