Spring Kafka类不在受信任的包中

Question

[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]

@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;
    }

}

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

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

请参阅文档。

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

add_type_info_headers（默认值为true）；设置为false以禁用JsonSerializer上的此特性（设置addTypeInfo属性）。

请参见引导文档。

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.jsonSerializerspring.kafka.producer.properties.spring.json.Add.type.headers=false

或者可以向入站消息转换器添加类型映射，以将源类型映射到目标类型。

编辑

话虽如此，你使用的是什么版本？