kafka-生产者监听器（SpringBoot整合Kafka）

文章目录

• 1、生产者监听器
• • 1.1、创建生产者监听器
  • 1.2、创建生产者拦截器
  • 1.3、发送消息测试
  • 1.4、使用Java代码创建主题分区副本
  • 1.5、application.yml配置—-v1版
  • 1.6、屏蔽 kafka debug 日志 logback.xml
  • 1.7、引入spring-kafka依赖
  • 1.8、控制台日志

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
@Override
public 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
@Override
public 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
@Override
public 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
@Override
public 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());
}
}
@Override
public void close() {
}
@Override
public 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
@Resource
KafkaTemplate kafkaTemplate;
@Resource
MyKafkaInterceptor myKafkaInterceptor;
@PostConstruct
public void init() {
kafkaTemplate.setProducerInterceptor(myKafkaInterceptor);
}
@Test
void 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 {
@Bean
public 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: 192.168.74.148:9095,192.168.74.148:9096,192.168.74.148:9097
producer: # 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byte
buffer-memory: 33554432 # 生产者缓冲区大小 单位byte
key-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>　　　　　　

<logger name="org.apache.kafka.clients" level="debug" />
</configuration>

1.7、引入spring-kafka依赖

<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 http://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/> 
</parent>


<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"
}
]
]