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社区首页 >问答首页 >如何使用Spring的Acknowledgement.acknowledge()方法进行手动提交

如何使用Spring的Acknowledgement.acknowledge()方法进行手动提交
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Stack Overflow用户
提问于 2017-09-20 15:01:38
回答 3查看 55.5K关注 0票数 13

我第一次使用Spring,我无法在我的消费者代码中使用Acknowledgement.acknowledge()方法进行手动提交,这里提到了Reference.html提交-偏移。我的是弹簧引导应用程序。如果我没有使用手动提交过程,那么我的代码就可以正常工作了。但是,当我使用Acknowledgement.acknowledge()进行手动提交时,它会显示与bean相关的错误。另外,如果我没有正确地使用手动提交,请建议我正确的方法。

错误消息:

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***************************
APPLICATION FAILED TO START
***************************

Description:

Field ack in Receiver required a bean of type 'org.springframework.kafka.support.Acknowledgment' that could not be found.


Action:

Consider defining a bean of type 'org.springframework.kafka.support.Acknowledgment' in your configuration.

我搜索了这个错误,发现我需要添加@Component,但是在我的使用者代码中已经有了。

我的消费者代码如下所示: Receiver.java

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import java.util.concurrent.CountDownLatch;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.kafka.support.Acknowledgment;
import org.springframework.stereotype.Component;

@Component
public class Receiver {

    @Autowired
    public Acknowledgment ack;

    private CountDownLatch latch = new CountDownLatch(1);

    @KafkaListener(topics = "${kafka.topic.TestTopic}")
    public void receive(ConsumerRecord<?, ?> consumerRecord){
            System.out.println(consumerRecord.value());
            latch.countDown();
            ack.acknowledge();
    }
}

我的生产者代码如下所示: Sender.java

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import java.util.Map;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.stereotype.Component;

@Component
public class Sender {

    @Autowired
    private KafkaTemplate<String, Map<String, Object>> kafkaTemplate;

    public void send(Map<String, Object> map){
            kafkaTemplate.send("TestTopic", map);

    }

}

编辑1:

我的新消费者代码如下: Receiver.java

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import java.util.concurrent.CountDownLatch;
import org.apache.kafka.clients.consumer.ConsumerRecord;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.kafka.support.Acknowledgment;
import org.springframework.stereotype.Component;

@Component
public class Receiver {

    private CountDownLatch latch = new CountDownLatch(1);

    @KafkaListener(topics = "${kafka.topic.TestTopic}", containerFactory = "kafkaManualAckListenerContainerFactory")
    public void receive(ConsumerRecord<?, ?> consumerRecord, Acknowledgment ack){
            System.out.println(consumerRecord.value());
            latch.countDown();
            ack.acknowledge();
    }
}

我还更改了配置类:

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

import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.common.serialization.StringDeserializer;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.kafka.annotation.EnableKafka;
import org.springframework.kafka.config.ConcurrentKafkaListenerContainerFactory;
import org.springframework.kafka.core.ConsumerFactory;
import org.springframework.kafka.core.DefaultKafkaConsumerFactory;

@Configuration
@EnableKafka
public class ReceiverConfig {

    @Value("${kafka.bootstrap-servers}")
    private String bootstrapServers;

    @Value("${spring.kafka.consumer.group-id}")
    private String consumerGroupId;

    @Bean
    public Map<String, Object> consumerConfigs() throws SendGridException {
            Map<String, Object> props = new HashMap<>();
            props.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
            props.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
            props.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
            props.put(ConsumerConfig.GROUP_ID_CONFIG, consumerGroupId);
            return props;

    }

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

    /*@Bean
    public ConcurrentKafkaListenerContainerFactory<String, String> kafkaListenerContainerFactory(){
        ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(consumerFactory());

        return factory;
    }*/

    @Bean
    public ConcurrentKafkaListenerContainerFactory<String, String> kafkaManualAckListenerContainerFactory(){
        ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
        factory.setConsumerFactory(consumerFactory());
        return factory;
    }

    @Bean
    public Receiver receiver() {
        return new Receiver();
    }
}

在将containerFactory = "kafkaManualAckListenerContainerFactory“添加到接收()方法后,我将得到以下错误。

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***************************
APPLICATION FAILED TO START
***************************

Description:

Parameter 1 of method kafkaListenerContainerFactory in org.springframework.boot.autoconfigure.kafka.KafkaAnnotationDrivenConfiguration required a bean of type 'org.springframework.kafka.core.ConsumerFactory' that could not be found.
    - Bean method 'kafkaConsumerFactory' in 'KafkaAutoConfiguration' not loaded because @ConditionalOnMissingBean (types: org.springframework.kafka.core.ConsumerFactory; SearchStrategy: all) found bean 'consumerFactory'


Action:

Consider revisiting the conditions above or defining a bean of type 'org.springframework.kafka.core.ConsumerFactory' in your configuration.
EN

Stack Overflow用户

发布于 2021-11-09 14:37:18

那些使用spring引导应用程序的用户,只需在下面简单地添加到application.yml (或特定于环境的文件)中。

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spring:
  kafka:
    listener:
      ack-mode: manual

以上更改将使Acknowledgment ack参数在内部可用。

receive(ConsumerRecord<?, ?> consumerRecord, Acknowledgment ack)方法自动实现。

票数 4
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页面原文内容由Stack Overflow提供。腾讯云小微IT领域专用引擎提供翻译支持
原文链接:

https://stackoverflow.com/questions/46325540

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