合肥瑶海区医院在线seo优化工具

1、生产者监听器

1.1、创建生产者监听器

package com.atguigu.kafka.listener;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.clients.producer.RecordMetadata;
import org.springframework.kafka.support.ProducerListener;
@Component
public class MyKafkaProducerListener implements ProducerListener<String,String> {//生产者 ack 配置为 0 只要发送即成功//ack为 1  leader落盘  broker ack之后 才成功//ack为 -1 分区所有副本全部落盘  broker ack之后 才成功@Overridepublic void onSuccess(ProducerRecord<String, String> producerRecord, RecordMetadata recordMetadata) {//ProducerListener.super.onSuccess(producerRecord, recordMetadata);System.out.println("MyKafkaProducerListener消息发送成功："+"topic="+producerRecord.topic()+"，partition = "+producerRecord.partition()+"，key = "+producerRecord.key()+"，value = "+producerRecord.value()+"，offset = "+recordMetadata.offset());}//消息发送失败的回调：监听器可以接收到发送失败的消息 可以记录失败的消息@Overridepublic void onError(ProducerRecord<String, String> producerRecord, RecordMetadata recordMetadata, Exception exception) {System.out.println("MyKafkaProducerListener消息发送失败："+"topic="+producerRecord.topic()+"，partition = "+producerRecord.partition()+"，key = "+producerRecord.key()+"，value = "+producerRecord.value()+"，offset = "+recordMetadata.offset());System.out.println("异常信息：" + exception.getMessage());}
}

1.2、创建生产者拦截器

package com.atguigu.kafka.interceptor;
import org.apache.kafka.clients.producer.ProducerInterceptor;
import org.apache.kafka.clients.producer.ProducerRecord;
import org.apache.kafka.clients.producer.RecordMetadata;
import org.springframework.stereotype.Component;
import java.util.Map;
//拦截器必须手动注册给kafka生产者（KafkaTemplate）
@Component
public class MyKafkaInterceptor implements ProducerInterceptor<String,String> {//kafka生产者发送消息前执行：拦截发送的消息预处理@Overridepublic ProducerRecord<String, String> onSend(ProducerRecord<String, String> producerRecord) {System.out.println("生产者即将发送消息：topic = "+ producerRecord.topic()+"，partition:"+producerRecord.partition()+"，key = "+producerRecord.key()+"，value = "+producerRecord.value());return null;}//kafka broker 给出应答后执行@Overridepublic void onAcknowledgement(RecordMetadata recordMetadata, Exception e) {//exception为空表示消息发送成功if(e == null){System.out.println("消息发送成功：topic = "+ recordMetadata.topic()+"，partition:"+recordMetadata.partition()+"，offset="+recordMetadata.offset()+"，timestamp="+recordMetadata.timestamp());}}@Overridepublic void close() {}@Overridepublic void configure(Map<String, ?> map) {}
}

1.3、发送消息测试

package com.atguigu.kafka.producer;import com.atguigu.kafka.interceptor.MyKafkaInterceptor;
import jakarta.annotation.PostConstruct;
import jakarta.annotation.Resource;
import org.junit.jupiter.api.Test;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.kafka.core.KafkaTemplate;
import java.io.IOException;@SpringBootTest
class KafkaProducerApplicationTests {//装配kafka模板类： springboot启动时会自动根据配置文初始化kafka模板类对象注入到容器中@ResourceKafkaTemplate kafkaTemplate;@ResourceMyKafkaInterceptor myKafkaInterceptor;@PostConstructpublic void init() {kafkaTemplate.setProducerInterceptor(myKafkaInterceptor);}@Testvoid contextLoads() throws IOException {kafkaTemplate.send("my_topic1", "spring-kafka-生产者监听器");//回调是等kafka，ack以后才执行，需要阻塞System.in.read();}
}

1.4、使用Java代码创建主题分区副本

package com.atguigu.kafka.config;
import org.apache.kafka.clients.admin.NewTopic;
import org.springframework.context.annotation.Bean;
import org.springframework.kafka.config.TopicBuilder;
import org.springframework.stereotype.Component;
@Component
public class KafkaTopicConfig {@Beanpublic NewTopic myTopic1() {//相同名称的主题 只会创建一次，后面创建的主题名称相同配置不同可以做增量更新（分区、副本数）return TopicBuilder.name("my_topic1")//主题名称.partitions(3)//主题分区.replicas(3)//主题分区副本数.build();//创建}
}

1.5、application.yml配置----v1版

server:port: 8110# v1
spring:kafka:bootstrap-servers: 192.168.74.148:9095,192.168.74.148:9096,192.168.74.148:9097producer: # producer 生产者retries: 0 # 重试次数 0表示不重试acks: -1 # 应答级别:多少个分区副本备份完成时向生产者发送ack确认(可选0、1、-1/all)batch-size: 16384 # 批次大小 单位bytebuffer-memory: 33554432 # 生产者缓冲区大小 单位bytekey-serializer: org.apache.kafka.common.serialization.StringSerializer # key的序列化器value-serializer: org.apache.kafka.common.serialization.StringSerializer # value的序列化器

1.6、屏蔽 kafka debug 日志 logback.xml

<configuration>　　　　　　<!-- 如果觉得idea控制台日志太多，src\main\resources目录下新建logback.xml
屏蔽kafka debug --><logger name="org.apache.kafka.clients" level="debug" />
</configuration>

1.7、引入spring-kafka依赖

<?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>3.0.5</version><relativePath/> <!-- lookup parent from repository --></parent><!-- Generated by https://start.springboot.io --><!-- 优质的 spring/boot/data/security/cloud 框架中文文档尽在 => https://springdoc.cn --><groupId>com.atguigu.kafka</groupId><artifactId>kafka-producer</artifactId><version>0.0.1-SNAPSHOT</version><name>kafka-producer</name><description>kafka-producer</description><properties><java.version>17</java.version></properties><dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope></dependency><dependency><groupId>org.springframework.kafka</groupId><artifactId>spring-kafka</artifactId></dependency></dependencies><build><plugins><plugin><groupId>org.springframework.boot</groupId><artifactId>spring-boot-maven-plugin</artifactId></plugin></plugins></build></project>

1.8、控制台日志

生产者即将发送消息：topic = my_topic1，partition:null，key = null，value = spring-kafka-生产者监听器
消息发送成功：topic = my_topic1，partition:0，offset=0，timestamp=1717573749549
MyKafkaProducerListener消息发送成功：topic=my_topic1，partition = null，key = null，value = spring-kafka-生产者监听器，offset = 0

[[{"partition": 0,"offset": 0,"msg": "spring-kafka-生产者监听器","timespan": 1717573749549,"date": "2024-06-05 07:49:09"}]
]