Spring Kafka 类不在可信包中

Question

在库更新之前的 Spring Boot/Kafka 应用程序中，我使用了以下类 org.telegram.telegrambots.api.objects.Update 以便将消息发布到 Kafka 主题。现在我使用以下 org.telegram.telegrambots.meta.api.objects.Update 。如您所见——它们有不同的包。

应用程序重新启动后，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;
    }

}

应用程序.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

如何解决这个问题，让 Kafka 将旧消息反序列化为新消息？

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();
    }

}

原文由 alexanoid 发布，翻译遵循 CC BY-SA 4.0 许可协议

Answer 1

请参阅 文档。

从 2.1 版开始，类型信息可以在记录头中传递，允许处理多种类型。此外，可以使用 Kafka 属性配置序列化器/反序列化器。

JsonSerializer.ADD_TYPE_INFO_HEADERS（默认为真）；设置为 false 以在 JsonSerializer 上禁用此功能（设置 addTypeInfo 属性）。

JsonDeserializer.KEY_DEFAULT_TYPE;如果不存在标头信息，则用于密钥反序列化的回退类型。

JsonDeserializer.VALUE_DEFAULT_TYPE;如果不存在标头信息，则用于反序列化值的回退类型。

JsonDeserializer.TRUSTED_PACKAGES（默认 java.util、java.lang）；允许反序列化的包模式的逗号分隔列表； * 表示反序列化所有。

默认情况下，序列化程序会将类型信息添加到标头中。

请参阅 引导文档。

同样，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消息转换器以将源类型映射到目标类型。

编辑

话虽如此，您使用的是什么版本？

原文由 Gary Russell 发布，翻译遵循 CC BY-SA 4.0 许可协议

Answer 2

有两个关键点需要提及。

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

问题是生产消息对象在消费者端不可用，因为它们是两个独立的项目。

两个克服这个问题的方法是在 Spring boot Producer 和 Consumer 应用程序中遵循下面提到的步骤。

—-生产者应用—————-

**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。

---

\*\* 生产者等级 **

 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 –

\*\* 配置类 **

 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，我们必须使用自定义 JsonDeserializer 来使用来自最终主题（主题名称）的容器对象类型 Json 消息，而不是使用默认的 JsonDeserializer()。

---

\*\* 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());
}
}

原文由 Iroshan 发布，翻译遵循 CC BY-SA 4.0 许可协议