关于Spring 项目中使用Stream,半整合,有更完整的整合方式请在评论区里面附上链接,谢谢

最近学习Demo的时候,遇上了一个大坑,SpringBoot中使用Stream,

因为,是多个模块之间相互耦合的,最后折腾了4个小时,终于剥离出来了核心配置依赖,

附上配置和代码,有需要的,请自行修改

POM.XML

<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
         xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>
    <parent>
        <groupId>org.springframework.boot</groupId>
        <artifactId>spring-boot-starter-parent</artifactId>
        <version>2.6.4</version>
<!--        <version>2.3.9.RELEASE</version>-->
        <relativePath/> <!-- lookup parent from repository -->
    </parent>
    <groupId>com.example</groupId>
    <artifactId>kafka-demo2</artifactId>
    <version>0.0.1-SNAPSHOT</version>
    <name>kafka-demo2</name>
    <description>kafka-demo2</description>
    <properties>
        <java.version>1.8</java.version>
    </properties>
    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter</artifactId>
            <exclusions>
                <exclusion>
                    <groupId>org.springframework.boot</groupId>
                    <artifactId>spring-boot-starter-logging</artifactId>
                </exclusion>
                <exclusion>
                    <groupId>org.slf4j</groupId>
                    <artifactId>slf4j-log4j12</artifactId>
                </exclusion>
            </exclusions>
        </dependency>

        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <optional>true</optional>
        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>
        <!--日志处理包-->
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-log4j2</artifactId>
        </dependency>





        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-web</artifactId>
        </dependency>
        <!-- kafkfa -->
        <dependency>
            <groupId>org.springframework.kafka</groupId>
            <artifactId>spring-kafka</artifactId>
            <exclusions>
                <exclusion>
                    <groupId>org.apache.kafka</groupId>
                    <artifactId>kafka-clients</artifactId>
                </exclusion>
            </exclusions>
        </dependency>
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-clients</artifactId>
        </dependency>
        <dependency>
            <groupId>org.apache.kafka</groupId>
            <artifactId>kafka-streams</artifactId>
            <exclusions>
                <exclusion>
                    <artifactId>connect-json</artifactId>
                    <groupId>org.apache.kafka</groupId>
                </exclusion>
                <exclusion>
                    <groupId>org.apache.kafka</groupId>
                    <artifactId>kafka-clients</artifactId>
                </exclusion>
            </exclusions>
        </dependency>

    </dependencies>

    <build>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
                <configuration>
                    <excludes>
                        <exclude>
                            <groupId>org.projectlombok</groupId>
                            <artifactId>lombok</artifactId>
                        </exclude>
                    </excludes>
                </configuration>
            </plugin>
        </plugins>
    </build>

</project>

引导类

package com.example.kafkademo2;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;

@SpringBootApplication
public class KafkaDemo2Application {

    public static void main(String[] args) {
        SpringApplication.run(KafkaDemo2Application.class, args);
    }

}

application.yml

spring:
  application:
    name: kafka-demo
  kafka:
    bootstrap-servers: 10.147.17.93:9092
    producer:
      retries: 10
      key-serializer: org.apache.kafka.common.serialization.StringSerializer
      value-serializer: org.apache.kafka.common.serialization.StringSerializer
    consumer:
      group-id: ${spring.application.name}-test
      key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      value-deserializer: org.apache.kafka.common.serialization.StringDeserializer

kafka:
  hosts: 10.147.17.93:9092
  group: ${spring.application.name}

消费者

package com.example.kafkademo2.sample;

import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.apache.kafka.clients.consumer.ConsumerRecords;
import org.apache.kafka.clients.consumer.KafkaConsumer;

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

/**
 * 消费者
 */
public class ConsumerQuickStart {

    public static void main(String[] args) {

        //1.kafka的配置信息
        Properties prop = new Properties();
        //链接地址
        prop.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "10.147.17.93:9092");
        //key和value的反序列化器
        prop.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");
        prop.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, "org.apache.kafka.common.serialization.StringDeserializer");

        //设置消费者组
        prop.put(ConsumerConfig.GROUP_ID_CONFIG, "group2");

        //手动提交偏移量
        prop.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, false);


        //2.创建消费者对象
        KafkaConsumer<String, String> consumer = new KafkaConsumer<String, String>(prop);

        //3.订阅主题
        consumer.subscribe(Collections.singletonList("itcast-topic-out"));

        //4.拉取消息

        //同步提交和异步提交偏移量
        try {
            while (true) {
                ConsumerRecords<String, String> consumerRecords = consumer.poll(Duration.ofMillis(1000));
                for (ConsumerRecord<String, String> consumerRecord : consumerRecords) {
                    System.out.println(consumerRecord.key());
                    System.out.println(consumerRecord.value());
                }
                //异步提交偏移量
                consumer.commitAsync();
            }
        }catch (Exception e){
            e.printStackTrace();
            System.out.println("记录错误的信息："+e);
        }finally {
            //同步
            consumer.commitSync();
        }
        
    }

}

生产者

package com.example.kafkademo2.sample;

import org.apache.kafka.clients.producer.KafkaProducer;
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.clients.producer.ProducerRecord;

import java.util.Properties;
import java.util.concurrent.ExecutionException;

/**
 * 生产者
 */
public class ProducerQuickStart {

    public static void main(String[] args) throws ExecutionException, InterruptedException {

        //1.kafka链接配置信息
        Properties prop = new Properties();
        //kafka链接地址
        prop.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG,"10.147.17.93:9092");
        //key和value的序列化
        prop.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG,"org.apache.kafka.common.serialization.StringSerializer");
        prop.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG,"org.apache.kafka.common.serialization.StringSerializer");

        //ack配置  消息确认机制
        prop.put(ProducerConfig.ACKS_CONFIG,"all");

        //重试次数
        prop.put(ProducerConfig.RETRIES_CONFIG,10);

        //数据压缩
        prop.put(ProducerConfig.COMPRESSION_TYPE_CONFIG,"lz4");

        //2.创建kafka生产者对象
        KafkaProducer<String,String> producer = new KafkaProducer<String,String>(prop);

        //3.发送消息
        /**
         * 第一个参数 ：topic
         * 第二个参数：消息的key
         * 第三个参数：消息的value
         */
        for (int i = 0; i < 5; i++) {
            ProducerRecord<String,String> kvProducerRecord = new ProducerRecord<String,String>("itcast-topic-input","hello kafka");
            producer.send(kvProducerRecord);
        }
        

        //4.关闭消息通道  必须要关闭，否则消息发送不成功
        producer.close();

    }

}

配置类

package com.example.kafkademo2.config;

import lombok.Getter;
import lombok.Setter;
import org.apache.kafka.common.serialization.Serdes;
import org.apache.kafka.streams.StreamsConfig;
import org.springframework.boot.context.properties.ConfigurationProperties;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.kafka.annotation.EnableKafkaStreams;
import org.springframework.kafka.annotation.KafkaStreamsDefaultConfiguration;
import org.springframework.kafka.config.KafkaStreamsConfiguration;

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

/**
 * 通过重新注册KafkaStreamsConfiguration对象，设置自定配置参数
 */

@Setter
@Getter
@Configuration
@EnableKafkaStreams
@ConfigurationProperties(prefix="kafka")
public class KafkaStreamConfig {
    private static final int MAX_MESSAGE_SIZE = 16* 1024 * 1024;
    private String hosts;
    private String group;
    @Bean(name = KafkaStreamsDefaultConfiguration.DEFAULT_STREAMS_CONFIG_BEAN_NAME)
    public KafkaStreamsConfiguration defaultKafkaStreamsConfig() {
        Map<String, Object> props = new HashMap<>();
        props.put(StreamsConfig.BOOTSTRAP_SERVERS_CONFIG, hosts);
        props.put(StreamsConfig.APPLICATION_ID_CONFIG, this.getGroup()+"_stream_aid");
        props.put(StreamsConfig.CLIENT_ID_CONFIG, this.getGroup()+"_stream_cid");
        props.put(StreamsConfig.RETRIES_CONFIG, 10);
        props.put(StreamsConfig.DEFAULT_KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass());
        props.put(StreamsConfig.DEFAULT_VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass());
        return new KafkaStreamsConfiguration(props);
    }
}

聚合类

package com.example.kafkademo2.stream;

import lombok.extern.slf4j.Slf4j;
import org.apache.kafka.streams.KeyValue;
import org.apache.kafka.streams.StreamsBuilder;
import org.apache.kafka.streams.kstream.KStream;
import org.apache.kafka.streams.kstream.TimeWindows;
import org.apache.kafka.streams.kstream.ValueMapper;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;

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

@Configuration
@Slf4j
public class KafkaStreamHelloListener {

    @Bean
    public KStream<String,String> kStream(StreamsBuilder streamsBuilder){
        //创建kstream对象，同时指定从那个topic中接收消息
        KStream<String, String> stream = streamsBuilder.stream("itcast-topic-input");
        stream.flatMapValues(new ValueMapper<String, Iterable<String>>() {
            @Override
            public Iterable<String> apply(String value) {
                return Arrays.asList(value.split(" "));
            }
        })
                //根据value进行聚合分组
                .groupBy((key,value)->value)
                //聚合计算时间间隔
                .windowedBy(TimeWindows.of(Duration.ofSeconds(10)))
                //求单词的个数
                .count()
                .toStream()
                //处理后的结果转换为string字符串
                .map((key,value)->{
                    System.out.println("key:"+key+",value:"+value);
                    return new KeyValue<>(key.key().toString(),value.toString());
                })
                //发送消息
                .to("itcast-topic-out");
        return stream;
    }
}

原文链接：https://blog.csdn.net/u013833472/article/details/123540762

你可能也喜欢