kafka复习:(20):消费者拦截器的使用

一、定义消费者拦截器(只消费含"sister"的消息)

复制代码
package com.cisdi.dsp.modules.metaAnalysis.rest;

import org.apache.kafka.clients.consumer.ConsumerInterceptor;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.OffsetAndMetadata;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.common.TopicPartition;

import java.util.*;

public class MyConsumerInterceptor implements ConsumerInterceptor<String,String> {
    @Override
    public ConsumerRecords<String, String> onConsume(ConsumerRecords<String, String> records) {

        Map<TopicPartition,List<ConsumerRecord<String,String>>> finalResult=new HashMap<>();
        Set<TopicPartition> partitionSet = records.partitions();
        for(TopicPartition topicPartition: partitionSet){
            List<ConsumerRecord<String,String>> partitionRecordList=records.records(topicPartition);
            List<ConsumerRecord<String,String>> newPartitionRecordList=new LinkedList<>();
            for(ConsumerRecord<String,String> record: partitionRecordList){

                if(record.value().contains("sister")){
                    newPartitionRecordList.add(record);
                }

            }
            finalResult.put(topicPartition,newPartitionRecordList);
        }

        return new ConsumerRecords<>(finalResult);
    }

    @Override
    public void onCommit(Map<TopicPartition, OffsetAndMetadata> offsets) {
        offsets.forEach((tp,meta) -> {
            System.out.println("消费者拦截器:"+tp.topic()+":"+meta.offset());
        });
    }

    @Override
    public void close() {

    }

    @Override
    public void configure(Map<String, ?> configs) {

    }
}

二、定义消费者,配置消费者拦截器

复制代码
package com.cisdi.dsp.modules.metaAnalysis.rest;

import org.apache.kafka.clients.consumer.*;
import org.apache.kafka.common.serialization.StringDeserializer;

import java.time.Duration;
import java.util.Arrays;
import java.util.Properties;

public class ConsumerInterceptorTest  {
    public static void main(String[] args) {
        String topic="testTopic2";
        String server="xx.xx.xx.xx:9092";
        Properties properties=new Properties();
        properties.setProperty(ConsumerConfig.GROUP_ID_CONFIG,"consumerGroupTest4");
        properties.setProperty(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
        properties.setProperty(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class.getName());
        properties.setProperty(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG,server);
        properties.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG,true);
        properties.put(ConsumerConfig.INTERCEPTOR_CLASSES_CONFIG,MyConsumerInterceptor.class.getName());

        KafkaConsumer<String,String> myConsumer=new KafkaConsumer<String, String>(properties);

        myConsumer.subscribe(Arrays.asList(topic));
        while(true){
            ConsumerRecords<String,String> records=myConsumer.poll(Duration.ofMillis(2000));
            for(ConsumerRecord consumerRecord: records){
                System.out.println(consumerRecord.value());
            }
            //myConsumer.commitSync();
        }
    }
}
相关推荐
深圳蔓延科技3 小时前
Kafka的高性能之路
后端·kafka
努力的小郑10 小时前
从一次分表实践谈起:我们真的需要复杂的分布式ID吗?
分布式·后端·面试
AAA修煤气灶刘哥1 天前
别让Redis「歪脖子」!一次搞定数据倾斜与请求倾斜的捉妖记
redis·分布式·后端
阿里云云原生1 天前
嘉银科技基于阿里云 Kafka Serverless 提升业务弹性能力,节省成本超过 20%
kafka·serverless
Aomnitrix1 天前
知识管理新范式——cpolar+Wiki.js打造企业级分布式知识库
开发语言·javascript·分布式
程序消消乐1 天前
Kafka 入门指南:从 0 到 1 构建你的 Kafka 知识基础入门体系
分布式·kafka
智能化咨询1 天前
Kafka架构:构建高吞吐量分布式消息系统的艺术——进阶优化与行业实践
分布式·架构·kafka
Chasing__Dreams1 天前
kafka--基础知识点--5.2--最多一次、至少一次、精确一次
分布式·kafka
在未来等你2 天前
Elasticsearch面试精讲 Day 17:查询性能调优实践
大数据·分布式·elasticsearch·搜索引擎·面试