Spring Kafka 该类不在受信任的包中

java apache-kafka spring-boot spring-kafka

2022-09-01 05:37:03

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

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.属性

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反序列化旧消息为新消息？

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();
    }

}

答案 1

请参阅文档。

从版本 2.1 开始，类型信息可以在记录标头中传达，从而允许处理多个类型。此外，可以使用 Kafka 属性配置序列化程序/反序列化程序。

JsonSerializer.ADD_TYPE_INFO_HEADERS（默认为真）;设置为 false 可在 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，则用于反序列化键的回退类型。

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 （default java.util， java.lang）;允许反序列化的包模式的逗号分隔列表;* 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头。

请参阅引导文档。

同样，您可以禁用在标头中发送类型信息的 JsonSerializer 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，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，您使用的是哪个版本？

答案 2

应该提到两个关键点。

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，而不是基元类型。

问题在于生成消息对象在使用者端不可用，因为这是两个独立的项目。

两个克服这个问题请按照下面提到的步骤在弹簧启动生产者和消费者应用程序。

----产品应用-------------

** 创建者配置类 **

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 **

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

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

-- 消费者应用程序 --

** 配置类 **

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：在这里你可以看到，我们必须使用自定义JsonDeserializer来使用容器对象类型Json Messages from final-topic（主题名称），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());
}
}