Question

在库更新之前的Spring Boot / Kafka应用程序中，我使用以下类org.telegram.telegrambots.api.objects.Update来向Kafka主题发布消息。现在，我使用以下org.telegram.telegrambots.meta.api.objects.Update。如您所见-它们具有不同的软件包。

重新启动应用程序后，我遇到了以下问题：

[org.springframework.kafka.KafkaListenerEndpointContainer#1-0-C-1] o.s.kafka.listener.LoggingErrorHandler : Error while processing: null

org.apache.kafka.common.errors.SerializationException: Error deserializing key/value for partition telegram.fenix.bot.update-0 at offset 4223. If needed, please seek past the record to continue consumption.
Caused by: java.lang.IllegalArgumentException: The class 'org.telegram.telegrambots.api.objects.Update' is not in the trusted packages: [java.util, java.lang, org.telegram.telegrambots.meta.api.objects]. If you believe this class is safe to deserialize, please provide its name. If the serialization is only done by a trusted source, you can also enable trust all (*).
at org.springframework.kafka.support.converter.DefaultJackson2JavaTypeMapper.getClassIdType(DefaultJackson2JavaTypeMapper.java:139) ~[spring-kafka-2.1.8.RELEASE.jar!/:2.1.8.RELEASE]
at org.springframework.kafka.support.converter.DefaultJackson2JavaTypeMapper.toJavaType(DefaultJackson2JavaTypeMapper.java:113) ~[spring-kafka-2.1.8.RELEASE.jar!/:2.1.8.RELEASE]
at org.springframework.kafka.support.serializer.JsonDeserializer.deserialize(JsonDeserializer.java:221) ~[spring-kafka-2.1.8.RELEASE.jar!/:2.1.8.RELEASE]
at org.apache.kafka.clients.consumer.internals.Fetcher.parseRecord(Fetcher.java:967) ~[kafka-clients-1.1.0.jar!/:na]
at org.apache.kafka.clients.consumer.internals.Fetcher.access$3300(Fetcher.java:93) ~[kafka-clients-1.1.0.jar!/:na]
at org.apache.kafka.clients.consumer.internals.Fetcher$PartitionRecords.fetchRecords(Fetcher.java:1144) ~[kafka-clients-1.1.0.jar!/:na]
at org.apache.kafka.clients.consumer.internals.Fetcher$PartitionRecords.access$1400(Fetcher.java:993) ~[kafka-clients-1.1.0.jar!/:na]
at org.apache.kafka.clients.consumer.internals.Fetcher.fetchRecords(Fetcher.java:527) ~[kafka-clients-1.1.0.jar!/:na]
at org.apache.kafka.clients.consumer.internals.Fetcher.fetchedRecords(Fetcher.java:488) ~[kafka-clients-1.1.0.jar!/:na]
at org.apache.kafka.clients.consumer.KafkaConsumer.pollOnce(KafkaConsumer.java:1155) ~[kafka-clients-1.1.0.jar!/:na]
at org.apache.kafka.clients.consumer.KafkaConsumer.poll(KafkaConsumer.java:1115) ~[kafka-clients-1.1.0.jar!/:na]
at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.run(KafkaMessageListenerContainer.java:699) ~[spring-kafka-2.1.8.RELEASE.jar!/:2.1.8.RELEASE]
at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) [na:1.8.0_171]
at java.util.concurrent.FutureTask.run(FutureTask.java:266) [na:1.8.0_171]
at java.lang.Thread.run(Thread.java:748) [na:1.8.0_171]

这是我的配置：

@EnableAsync
@Configuration
public class ApplicationConfig {

    @Bean
    public StringJsonMessageConverter jsonConverter() {
        return new StringJsonMessageConverter();
    }

}

@Configuration
public class KafkaProducerConfig {

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

    @Bean
    public Map<String, Object> producerConfigs() {

        Map<String, Object> props = new HashMap<>();

        props.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, bootstrapServers);
        props.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
        props.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, JsonSerializer.class);
        props.put(ProducerConfig.MAX_REQUEST_SIZE_CONFIG, 15000000);

        return props;
    }

    @Bean
    public ProducerFactory<String, Update> updateProducerFactory() {
        return new DefaultKafkaProducerFactory<>(producerConfigs());
    }

    @Bean
    public KafkaTemplate<String, Update> updateKafkaTemplate() {
        return new KafkaTemplate<>(updateProducerFactory());
    }

}

@Configuration
public class KafkaConsumerConfig {

    @Value("${kafka.consumer.max.poll.interval.ms}")
    private String kafkaConsumerMaxPollIntervalMs;

    @Value("${kafka.consumer.max.poll.records}")
    private String kafkaConsumerMaxPollRecords;

    @Value("${kafka.topic.telegram.fenix.bot.update.consumer.concurrency}")
    private Integer updateConsumerConcurrency;

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

    @Bean
    public ConcurrentKafkaListenerContainerFactory<String, String> kafkaListenerContainerFactory(KafkaProperties kafkaProperties) {

        kafkaProperties.getProperties().put(ConsumerConfig.MAX_POLL_INTERVAL_MS_CONFIG, kafkaConsumerMaxPollIntervalMs);
        kafkaProperties.getProperties().put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, kafkaConsumerMaxPollRecords);

        ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
        factory.getContainerProperties().setAckMode(AckMode.MANUAL_IMMEDIATE);
        factory.setConsumerFactory(consumerFactory(kafkaProperties));

        return factory;
    }

    @Bean
    public ConsumerFactory<String, Update> updateConsumerFactory(KafkaProperties kafkaProperties) {
        return new DefaultKafkaConsumerFactory<>(kafkaProperties.buildConsumerProperties(), new StringDeserializer(), new JsonDeserializer<>(Update.class));
    }

    @Bean
    public ConcurrentKafkaListenerContainerFactory<String, Update> updateKafkaListenerContainerFactory(KafkaProperties kafkaProperties) {

        kafkaProperties.getProperties().put(ConsumerConfig.MAX_POLL_INTERVAL_MS_CONFIG, kafkaConsumerMaxPollIntervalMs);
        kafkaProperties.getProperties().put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, kafkaConsumerMaxPollRecords);

        ConcurrentKafkaListenerContainerFactory<String, Update> factory = new ConcurrentKafkaListenerContainerFactory<>();
        factory.getContainerProperties().setAckMode(AckMode.MANUAL_IMMEDIATE);
        factory.setConsumerFactory(updateConsumerFactory(kafkaProperties));
        factory.setConcurrency(updateConsumerConcurrency);

        return factory;
    }

}

application.properties

spring.kafka.bootstrap-servers=${kafka.host}:${kafka.port}
spring.kafka.consumer.auto-offset-reset=earliest
spring.kafka.consumer.group-id=postfenix
spring.kafka.consumer.enable-auto-commit=false
spring.kafka.producer.value-serializer=org.springframework.kafka.support.serializer.JsonSerializer

如何解决此问题并使Kafka将旧消息反序列化为新消息？

已更新

这是我的听众

@Component
public class UpdateConsumer {

    @KafkaListener(topics = "${kafka.topic.update}", containerFactory = "updateKafkaListenerContainerFactory")
    public void onUpdateReceived(ConsumerRecord<String, Update> consumerRecord, Acknowledgment ack) {

        //do some logic here

        ack.acknowledge();
    }

}

Answer 1

为此，有两种方法可以实现，既可以在反序列化程序中，也可以在应用程序中。yml。

在您的反序列化器中

在解串器中，您可以在DefaultKafkaConsumerFactory中使用（创建消费工厂）。假设您要使用ConsumerFactory<String, Foo> 作为要用于kafka消息的模型/ POJO来制作Foo。

您需要addTrustedPackages中的JsonDeserializer我在Kotlin中有一个示例，但是在Java中它的语法几乎相同：

 val deserializer = JsonDeserializer<Foo>()
 deserializer.addTrustedPackages("com.example.entity.Foo") // Adding Foo to our trusted packages

 val consumerFactory = DefaultKafkaConsumerFactory(
      consumerConfigs(),  // your consumer config
      StringDeserializer(), 
      deserializer // Using our newly created deserializer
 )

或在您的应用程序中。yml

按照spring-kafka的说明在application.yml文件中。我们使用以下方法从受信任的商店中的 com.example.entity.Foo 包中添加Foo类：

spring:
  kafka:
    consumer:
      properties:
        spring.json.trusted.packages: "com.example.entity.Foo"

spring.json.trusted.packages接受一组软件包。您可以指定一个类包，或对任何包使用*。在这种情况下，您不需要仅在使用者配置中通过deserializer来传递DefaultKafkaConsumerFactory()。

Answer 2

请参见the documentation。

从版本2.1开始，可以在记录标题中传达类型信息，从而可以处理多种类型。此外，可以使用Kafka属性配置序列化器/解串器。

JsonSerializer.ADD_TYPE_INFO_HEADERS（默认为true）;设置为false可禁用JsonSerializer的此功能（设置addTypeInfo属性）。

JsonDeserializer.KEY_DEFAULT_TYPE;如果没有标题信息，则为密钥的反序列化的后备类型。

JsonDeserializer.VALUE_DEFAULT_TYPE;如果没有标题信息，则为值的反序列化的后备类型。

JsonDeserializer.TRUSTED_PACKAGES（默认java.util，java.lang）;逗号分隔的允许反序列化的软件包模式列表； *表示全部反序列化。

默认情况下，序列化程序会将类型信息添加到标题中。

请参见the boot documentation。

类似地，您可以禁用JsonSerializer在标头中发送类型信息的默认行为：

spring.kafka.producer.value-serializer=org.springframework.kafka.support.serializer.JsonSerializer   spring.kafka.producer.properties.spring.json.add.type.headers=false

或者您可以将类型映射添加到入站邮件转换器中，以将源类型映射到目标类型。

编辑

话说回来，您使用的是哪个版本？

Answer 3

我也遇到了这个问题，但是上述解决方案对我不起作用。但是，诀窍是如何按以下方式配置kafka消费者工厂：

props.put(JsonDeserializer.TRUSTED_PACKAGES, "your.package.name");

Answer 4

有两个要点。

生产者和消费者有两个独立的项目。
然后发送消息（值）是一个对象类型，而不是原始类型。

问题在于生产消息对象在用户端不可用，因为这是两个单独的项目。

两个克服了这个问题的人，请按照下面提到的步骤在Spring boot Producer和Consumer应用程序中进行操作。

---- Producer App -------------

**生产者配置类**

import com.kafka.producer.models.Container;    
import org.apache.kafka.clients.producer.ProducerConfig;
import org.apache.kafka.common.serialization.StringSerializer;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.kafka.core.DefaultKafkaProducerFactory;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.core.ProducerFactory;
import org.springframework.kafka.support.serializer.JsonSerializer;
import java.util.HashMap;
import java.util.Map;

@Configuration
public class KafkaProducerConfig {

@Bean
public ProducerFactory<String, Container> producerFactory(){

    Map<String, Object> config = new HashMap<>();

config.put(ProducerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
config.put(ProducerConfig.KEY_SERIALIZER_CLASS_CONFIG, StringSerializer.class);
config.put(ProducerConfig.VALUE_SERIALIZER_CLASS_CONFIG, JsonSerializer.class);

    return new DefaultKafkaProducerFactory(config);
}

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

注意：容器是要在kafka主题中发布的自定义对象。

**生产者类别**

import com.kafka.producer.models.Container;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.kafka.core.KafkaTemplate;
import org.springframework.kafka.support.KafkaHeaders;
import org.springframework.messaging.Message;
import org.springframework.messaging.support.MessageBuilder;
import org.springframework.stereotype.Service;

@Service
public class Producer {

private static final Logger LOGGER = LoggerFactory.getLogger(Producer.class);
private static final String TOPIC = "final-topic";

@Autowired
private KafkaTemplate<String, Container> kafkaTemplate;

public void sendUserMessage(Container msg) {
    LOGGER.info(String.format("\n ===== Producing message in JSON ===== \n"+msg));
    Message<Container> message = MessageBuilder
            .withPayload(msg)
            .setHeader(KafkaHeaders.TOPIC, TOPIC)
            .build();
    this.kafkaTemplate.send(message);
}
}

**生产者控制器**

import com.kafka.producer.models.Container;
import com.kafka.producer.services.Producer;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.web.bind.annotation.*;

@RestController
@RequestMapping("/message")
public class MessageController {

@Autowired
private Producer producer;

@PostMapping(value = "/publish")
public String sendMessageToKafkaTopic(@RequestBody Container containerMsg) {
    this.producer.sendUserMessage(containerMsg);
    return "Successfully Published !!";
}
}

注意：类型为Container的消息将作为JSON消息发布到kafka主题名称：final-topic。

================================================ ===============================

-消费者应用程序-

**配置类别**

import com.kafka.consumer.models.Container;
import org.apache.kafka.clients.consumer.ConsumerConfig;
import org.apache.kafka.common.serialization.StringDeserializer;
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;
import org.springframework.kafka.support.serializer.JsonDeserializer;
import java.util.HashMap;
import java.util.Map;

@Configuration
@EnableKafka
public class KafkaConsumerOneConfig {

@Bean
public ConsumerFactory<String, Container> consumerFactory(){
    JsonDeserializer<Container> deserializer = new JsonDeserializer<>(Container.class);
    deserializer.setRemoveTypeHeaders(false);
    deserializer.addTrustedPackages("*");
    deserializer.setUseTypeMapperForKey(true);

    Map<String, Object> config = new HashMap<>();

    config.put(ConsumerConfig.BOOTSTRAP_SERVERS_CONFIG, "localhost:9092");
    config.put(ConsumerConfig.GROUP_ID_CONFIG, "group_one");
    config.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG, "earliest");
    config.put(ConsumerConfig.ENABLE_AUTO_COMMIT_CONFIG, false);
    config.put(ConsumerConfig.KEY_DESERIALIZER_CLASS_CONFIG, StringDeserializer.class);
    config.put(ConsumerConfig.VALUE_DESERIALIZER_CLASS_CONFIG, deserializer);

    return new DefaultKafkaConsumerFactory<>(config, new StringDeserializer(), deserializer);
}

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

}
}

注意：在这里您可以看到，而不是使用默认的JsonDeserializer（），我们必须使用自定义JsonDeserializer来使用来自final-topic（主题名称）的Container对象类型Json Messages。

**消费者服务**

import com.kafka.consumer.models.Container;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.kafka.annotation.KafkaListener;
import org.springframework.messaging.MessageHeaders;
import org.springframework.messaging.handler.annotation.Headers;
import org.springframework.messaging.handler.annotation.Payload;
import org.springframework.stereotype.Service;
import java.io.IOException;

@Service
public class ConsumerOne {

private final Logger LOGGER = LoggerFactory.getLogger(ConsumerOne.class);

@KafkaListener(topics = "final-topic", groupId = "group_one", containerFactory = "kafkaListenerContainerFactory")
public void consumeUserMessage(@Payload Container msg, @Headers MessageHeaders headers) throws IOException {
    System.out.println("received data in Consumer One ="+ msg.getMessageTypes());
}
}

Answer 5

jsonDeserializer.addTrustedPackages("*");

解决了我的spring-kafka-2.2.8问题。

Answer 6

我的spring-kafka版本是2.2.11，也有此错误。

我收到此错误，是因为我在同一kafta主题中用不同的配置配置了两个使用者。其中一个拥有ConsumerFactory ，另一个具有ConsumerFactory 。

我解决了因为一个错误而更改一个Consumer的配置的错误。

您只需检查该主题的使用者

Spring Kafka该类不在受信任的软件包中

6 个答案:

在您的反序列化器中

或在您的应用程序中。yml