springboot 消费kafka 定时拉取固定条数-Toy模板网

这篇具有很好参考价值的文章主要介绍了springboot 消费kafka 定时拉取固定条数。希望对大家有所帮助。如果存在错误或未考虑完全的地方，请大家不吝赐教，您也可以点击"举报违法"按钮提交疑问。

springboot 消费kafka 定时拉取固定条数

springboot消费kafka，频率限制
背景
上游预警信息发送到kafka，springboot消费后，进行推送到企业微信机器人。
企微机器人有个限制，每分钟最多20条，其余被丢掉。

两种方案
1 消费kafka时，控制速度，每分钟去拉取一次，每次拉取2条

2 直接消费kafka后，存表，每分钟的定时任务取20条进行推送

最终方案1 ，因为改动小，

关键代码
//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);
factory.getContainerProperties().setIdleBetweenPolls(3000L);文章来源地址https://www.toymoban.com/news/detail-415836.html

package com.kafkatest.lisenter;

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

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.List;

/**
 * @ClassName KafkaConsumer
 * @Description
 * @Author wangdonglin
 * @Date 2023/1/18 10:31
 * @Version 1.0
 */
@Component
public class KafkaConsumer {

    private final Logger logger = LoggerFactory.getLogger(this.getClass());

    /**
     * 监听topic,批量消费
     */
    @KafkaListener(topics = "${topicName.topic}", containerFactory = "batchFactory")
    public void listen2(List<ConsumerRecord<String, String>> records) {
        logger.info("listen-----");
        batchConsumer(records);
    }


    /**
     * 批量消费
     */
    public void batchConsumer(List<ConsumerRecord<String, String>> records) {
        records.forEach(o-> {


            System.out.println(o.value());
        });
    }

}

package com.kafkatest.config;
import com.google.common.collect.Maps;
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.DefaultKafkaConsumerFactory;
import org.springframework.kafka.core.DefaultKafkaProducerFactory;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.core.ProducerFactory;

import java.util.Map;

/**
 * @ClassName KafkaConfiguration
 * @Description
 * @Author wangdonglin
 * @Date 2023/1/18 10:25
 * @Version 1.0
 */
@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.max-poll-records}")
    private Integer maxPollRecords;

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

    @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;

    /**
     *  生产者配置信息
     */
    @Bean
    public Map<String, Object> producerConfigs() {
        Map<String, Object> props = Maps.newHashMap();
        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);
        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 = Maps.newHashMap();
        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.ENABLE_AUTO_COMMIT_CONFIG,autoCommit);
        props.put(ConsumerConfig.AUTO_COMMIT_INTERVAL_MS_CONFIG,autoCommitInterval);
        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);
        return props;
    }

    /**
     *  消费者批量工程
     */
    @Bean
    public KafkaListenerContainerFactory<?> batchFactory() {
        ConcurrentKafkaListenerContainerFactory<Integer, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(new DefaultKafkaConsumerFactory<>(consumerConfigs()));
        consumerConfigs().forEach((k,v)-> System.out.println(k+"===="+v));
        //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);
        factory.getContainerProperties().setIdleBetweenPolls(3000L);
        return factory;
    }

}