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增加 spring cloud stream kafka 示例
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58
labx-11/labx-11-sc-stream-kafka-producer-batch/pom.xml
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58
labx-11/labx-11-sc-stream-kafka-producer-batch/pom.xml
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<?xml version="1.0" encoding="UTF-8"?>
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<project xmlns="http://maven.apache.org/POM/4.0.0"
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xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
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xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
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<parent>
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<artifactId>labx-11</artifactId>
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<groupId>cn.iocoder.springboot.labs</groupId>
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<version>1.0-SNAPSHOT</version>
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</parent>
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<modelVersion>4.0.0</modelVersion>
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<artifactId>labx-11-sc-stream-kafka-producer-batch</artifactId>
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<properties>
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<maven.compiler.target>1.8</maven.compiler.target>
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<maven.compiler.source>1.8</maven.compiler.source>
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<spring.boot.version>2.2.4.RELEASE</spring.boot.version>
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<spring.cloud.version>Hoxton.SR1</spring.cloud.version>
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</properties>
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<!--
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引入 Spring Boot、Spring Cloud、Spring Cloud Alibaba 三者 BOM 文件,进行依赖版本的管理,防止不兼容。
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在 https://dwz.cn/mcLIfNKt 文章中,Spring Cloud Alibaba 开发团队推荐了三者的依赖关系
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-->
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<dependencyManagement>
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<dependencies>
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<dependency>
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<groupId>org.springframework.boot</groupId>
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<artifactId>spring-boot-starter-parent</artifactId>
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<version>${spring.boot.version}</version>
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<type>pom</type>
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<scope>import</scope>
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</dependency>
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<dependency>
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<groupId>org.springframework.cloud</groupId>
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<artifactId>spring-cloud-dependencies</artifactId>
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<version>${spring.cloud.version}</version>
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<type>pom</type>
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<scope>import</scope>
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</dependency>
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</dependencies>
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</dependencyManagement>
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<dependencies>
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<!-- 引入 SpringMVC 相关依赖,并实现对其的自动配置 -->
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<dependency>
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<groupId>org.springframework.boot</groupId>
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<artifactId>spring-boot-starter-web</artifactId>
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</dependency>
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<!-- 引入 Spring Cloud Stream Kafka 相关依赖,将 Kafka 作为消息队列,并实现对其的自动配置 -->
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<dependency>
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<groupId>org.springframework.cloud</groupId>
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<artifactId>spring-cloud-starter-stream-kafka</artifactId>
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</dependency>
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</dependencies>
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</project>
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package cn.iocoder.springcloud.labx11.kafkademo.kafkademo;
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import cn.iocoder.springcloud.labx11.kafkademo.kafkademo.message.MySource;
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import org.springframework.boot.SpringApplication;
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import org.springframework.boot.autoconfigure.SpringBootApplication;
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import org.springframework.cloud.stream.annotation.EnableBinding;
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@SpringBootApplication
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@EnableBinding(MySource.class)
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public class ProducerApplication {
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public static void main(String[] args) {
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SpringApplication.run(ProducerApplication.class, args);
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}
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}
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package cn.iocoder.springcloud.labx11.kafkademo.kafkademo.controller;
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import cn.iocoder.springcloud.labx11.kafkademo.kafkademo.message.Demo01Message;
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import cn.iocoder.springcloud.labx11.kafkademo.kafkademo.message.MySource;
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import org.slf4j.Logger;
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import org.slf4j.LoggerFactory;
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import org.springframework.beans.factory.annotation.Autowired;
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import org.springframework.messaging.Message;
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import org.springframework.messaging.support.MessageBuilder;
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import org.springframework.web.bind.annotation.GetMapping;
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import org.springframework.web.bind.annotation.RequestMapping;
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import org.springframework.web.bind.annotation.RestController;
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import java.util.Random;
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@RestController
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@RequestMapping("/demo01")
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public class Demo01Controller {
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private Logger logger = LoggerFactory.getLogger(getClass());
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@Autowired
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private MySource mySource;
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@GetMapping("/send_batch")
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public boolean sendTag() {
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for (int i = 0; i < 3; i++) {
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// 创建 Message
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int id = new Random().nextInt();
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Demo01Message message = new Demo01Message()
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.setId(id);
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// 创建 Spring Message 对象
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Message<Demo01Message> springMessage = MessageBuilder.withPayload(message)
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.build();
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// 发送消息
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mySource.demo01Output().send(springMessage);
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logger.info("[send_transaction][发送编号:[{}] 发送成功]", id);
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}
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return true;
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}
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}
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package cn.iocoder.springcloud.labx11.kafkademo.kafkademo.message;
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/**
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* 示例 01 的 Message 消息
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*/
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public class Demo01Message {
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/**
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* 编号
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*/
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private Integer id;
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public Demo01Message setId(Integer id) {
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this.id = id;
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return this;
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}
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public Integer getId() {
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return id;
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}
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@Override
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public String toString() {
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return "Demo01Message{" +
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"id=" + id +
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'}';
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}
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}
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package cn.iocoder.springcloud.labx11.kafkademo.kafkademo.message;
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import org.springframework.cloud.stream.annotation.Output;
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import org.springframework.messaging.MessageChannel;
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public interface MySource {
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@Output("demo01-output")
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MessageChannel demo01Output();
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}
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@@ -0,0 +1,28 @@
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spring:
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application:
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name: demo-producer-application
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cloud:
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# Spring Cloud Stream 配置项,对应 BindingServiceProperties 类
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stream:
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# Binder 配置项,对应 BinderProperties Map
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# binders:
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# Binding 配置项,对应 BindingProperties Map
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bindings:
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demo01-output:
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destination: DEMO-TOPIC-01 # 目的地。这里使用 Kafka Topic
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content-type: application/json # 内容格式。这里使用 JSON
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# Spring Cloud Stream Kafka 配置项
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kafka:
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# Kafka Binder 配置项,对应 KafkaBinderConfigurationProperties 类
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binder:
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brokers: 127.0.0.1:9092 # 指定 Kafka Broker 地址,可以设置多个,以逗号分隔
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# Kafka 自定义 Binding 配置项,对应 KafkaBindingProperties Map
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bindings:
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demo01-output:
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# Kafka Producer 配置项,对应 KafkaProducerProperties 类
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producer:
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batch-timeout: 30000 # 批处理延迟时间上限。这里配置为 30 * 1000 ms 过后,不管是否消息数量是否到达 batch-size 或者消息大小到达 buffer-memory 后,都直接发送一次请求
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buffer-size: 33554432 # 每次批量发送消息的最大内存
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server:
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port: 18080
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@@ -39,6 +39,8 @@
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<!--搭配 <module>labx-11-sc-stream-kafka-producer-demo</module> 作为生产者-->
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<module>labx-11-sc-stream-kafka-consumer-ack</module>
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<module>labx-11-sc-stream-kafka-producer-batch</module>
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</modules>
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</project>
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