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README.md

spring-boot-demo-mq-kafka

本 demo 主要演示了 Spring Boot 如何集成 kafka，实现消息的发送和接收。

环境准备

注意：本 demo 基于 Spring Boot 2.1.0.RELEASE 版本，因此 spring-kafka 的版本为 2.2.0.RELEASE，kafka-clients 的版本为2.0.0，所以 kafka 的版本选用为 kafka_2.11-2.1.0

创建一个名为 test 的Topic

./bin/kafka-topics.sh --create --zookeeper localhost:2181 --replication-factor 1 --partitions 1 --topic test

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 http://maven.apache.org/xsd/maven-4.0.0.xsd">
    <modelVersion>4.0.0</modelVersion>

    <artifactId>spring-boot-demo-mq-kafka</artifactId>
    <version>1.0.0-SNAPSHOT</version>
    <packaging>jar</packaging>

    <name>spring-boot-demo-mq-kafka</name>
    <description>Demo project for Spring Boot</description>

    <parent>
        <groupId>com.xkcoding</groupId>
        <artifactId>spring-boot-demo</artifactId>
        <version>1.0.0-SNAPSHOT</version>
    </parent>

    <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
        <java.version>1.8</java.version>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.kafka</groupId>
            <artifactId>spring-kafka</artifactId>
        </dependency>

        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-test</artifactId>
            <scope>test</scope>
        </dependency>

        <dependency>
            <groupId>org.projectlombok</groupId>
            <artifactId>lombok</artifactId>
            <optional>true</optional>
        </dependency>

        <dependency>
            <groupId>cn.hutool</groupId>
            <artifactId>hutool-all</artifactId>
        </dependency>

        <dependency>
            <groupId>com.google.guava</groupId>
            <artifactId>guava</artifactId>
        </dependency>
    </dependencies>

    <build>
        <finalName>spring-boot-demo-mq-kafka</finalName>
        <plugins>
            <plugin>
                <groupId>org.springframework.boot</groupId>
                <artifactId>spring-boot-maven-plugin</artifactId>
            </plugin>
        </plugins>
    </build>

</project>

application.yml

server:
  port: 8080
  servlet:
    context-path: /demo
spring:
  kafka:
    bootstrap-servers: localhost:9092
    producer:
      retries: 0
      batch-size: 16384
      buffer-memory: 33554432
      key-serializer: org.apache.kafka.common.serialization.StringSerializer
      value-serializer: org.apache.kafka.common.serialization.StringSerializer
    consumer:
      group-id: spring-boot-demo
      # 手动提交
      enable-auto-commit: false
      auto-offset-reset: latest
      key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      value-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      properties:
        session.timeout.ms: 60000
    listener:
      log-container-config: false
      concurrency: 5
      # 手动提交
      ack-mode: manual_immediate

KafkaConfig.java

/**
 * <p>
 * kafka配置类
 * </p>
 *
 * @package: com.xkcoding.mq.kafka.config
 * @description: kafka配置类
 * @author: yangkai.shen
 * @date: Created in 2019-01-07 14:49
 * @copyright: Copyright (c) 2019
 * @version: V1.0
 * @modified: yangkai.shen
 */
@Configuration
@EnableConfigurationProperties({KafkaProperties.class})
@EnableKafka
@AllArgsConstructor
public class KafkaConfig {
    private final KafkaProperties kafkaProperties;

    @Bean
    public KafkaTemplate<String, String> kafkaTemplate() {
        return new KafkaTemplate<>(producerFactory());
    }

    @Bean
    public ProducerFactory<String, String> producerFactory() {
        return new DefaultKafkaProducerFactory<>(kafkaProperties.buildProducerProperties());
    }

    @Bean
    public ConcurrentKafkaListenerContainerFactory<String, String> kafkaListenerContainerFactory() {
        ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(consumerFactory());
        factory.setConcurrency(KafkaConsts.DEFAULT_PARTITION_NUM);
        factory.setBatchListener(true);
        factory.getContainerProperties().setPollTimeout(3000);
        return factory;
    }

    @Bean
    public ConsumerFactory<String, String> consumerFactory() {
        return new DefaultKafkaConsumerFactory<>(kafkaProperties.buildConsumerProperties());
    }

    @Bean("ackContainerFactory")
    public ConcurrentKafkaListenerContainerFactory<String, String> ackContainerFactory() {
        ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(consumerFactory());
        factory.getContainerProperties().setAckMode(ContainerProperties.AckMode.MANUAL_IMMEDIATE);
        factory.setConcurrency(KafkaConsts.DEFAULT_PARTITION_NUM);
        return factory;
    }

}

MessageHandler.java

/**
 * <p>
 * 消息处理器
 * </p>
 *
 * @package: com.xkcoding.mq.kafka.handler
 * @description: 消息处理器
 * @author: yangkai.shen
 * @date: Created in 2019-01-07 14:58
 * @copyright: Copyright (c) 2019
 * @version: V1.0
 * @modified: yangkai.shen
 */
@Component
@Slf4j
public class MessageHandler {

    @KafkaListener(topics = KafkaConsts.TOPIC_TEST, containerFactory = "ackContainerFactory")
    public void handleMessage(ConsumerRecord record, Acknowledgment acknowledgment) {
        try {
            String message = (String) record.value();
            log.info("收到消息: {}", message);
        } catch (Exception e) {
            log.error(e.getMessage(), e);
        } finally {
            // 手动提交 offset
            acknowledgment.acknowledge();
        }
    }
}

SpringBootDemoMqKafkaApplicationTests.java

@RunWith(SpringRunner.class)
@SpringBootTest
public class SpringBootDemoMqKafkaApplicationTests {
    @Autowired
    private KafkaTemplate<String, String> kafkaTemplate;

    /**
     * 测试发送消息
     */
    @Test
    public void testSend() {
        kafkaTemplate.send(KafkaConsts.TOPIC_TEST, "hello,kafka...");
    }

}

参考

  1. Spring Boot 版本和 Spring-Kafka 的版本对应关系：https://spring.io/projects/spring-kafka

    Spring for Apache Kafka Version Spring Integration for Apache Kafka Version kafka-clients
    2.2.x 3.1.x 2.0.0, 2.1.0
    2.1.x 3.0.x 1.0.x, 1.1.x, 2.0.0
    2.0.x 3.0.x 0.11.0.x, 1.0.x
    1.3.x 2.3.x 0.11.0.x, 1.0.x
    1.2.x 2.2.x 0.10.2.x
    1.1.x 2.1.x 0.10.0.x, 0.10.1.x
    1.0.x 2.0.x 0.9.x.x
    N/A* 1.3.x 0.8.2.2

    IMPORTANT: This matrix is client compatibility; in most cases (since 0.10.2.0) newer clients can communicate with older brokers. All users with brokers >= 0.10.x.x (and all spring boot 1.5.x users) are recommended to use spring-kafka version 1.3.x or higher due to its simpler threading model thanks to KIP-62. For a complete discussion about client/broker compatibility, see the Kafka Compatibility Matrix

    • Spring Integration Kafka versions prior to 2.0 pre-dated the Spring for Apache Kafka project and therefore were not based on it.

    These versions will be referenced transitively when using maven or gradle for version management. For the 1.1.x version, the 0.10.1.x is the default.

    2.1.x uses the 1.1.x kafka-clients by default. When overriding the kafka-clients for 2.1.x see the documentation appendix.

    2.2.x uses the 2.0.x kafka-clients by default. When overriding the kafka-clients for 2.2.x see the documentation appendix.

    • Spring Boot 1.5 users should use 1.3.x (Boot dependency management will use 1.1.x by default so this should be overridden).
    • Spring Boot 2.0 users should use 2.0.x (Boot dependency management will use the correct version).
    • Spring Boot 2.1 users should use 2.2.x (Boot dependency management will use the correct version).

  2. Spring-Kafka 官方文档：https://docs.spring.io/spring-kafka/docs/2.2.0.RELEASE/reference/html/