Spring Kafka该类不在受信任的软件包中 [英] Spring Kafka The class is not in the trusted packages
问题描述
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-它们具有不同的程序包.
In my Spring Boot/Kafka application before the library update, I used the following class org.telegram.telegrambots.api.objects.Update in order to post messages to the Kafka topic. Right now I use the following org.telegram.telegrambots.meta.api.objects.Update. As you may see - they have different packages.
应用程序重新启动后，我遇到了以下问题:
After application restart I ran into the following issue:
[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("${kafka.topic.telegram.fenix.bot.update.consumer.concurrency}")
private Integer updateConsumerConcurrency;
@Bean
public ConsumerFactory<String, String> consumerFactory(KafkaProperties kafkaProperties) {
return new DefaultKafkaConsumerFactory<>(kafkaProperties.buildConsumerProperties(), new StringDeserializer(), new JsonDeserializer<>(String.class));
}
@Bean
public ConcurrentKafkaListenerContainerFactory<String, String> kafkaListenerContainerFactory(KafkaProperties kafkaProperties) {
kafkaProperties.getProperties().put(ConsumerConfig.MAX_POLL_INTERVAL_MS_CONFIG, kafkaConsumerMaxPollIntervalMs);
kafkaProperties.getProperties().put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, kafkaConsumerMaxPollRecords);
ConcurrentKafkaListenerContainerFactory<String, String> factory = new ConcurrentKafkaListenerContainerFactory<>();
factory.getContainerProperties().setAckMode(AckMode.MANUAL_IMMEDIATE);
factory.setConsumerFactory(consumerFactory(kafkaProperties));
return factory;
}
@Bean
public ConsumerFactory<String, Update> updateConsumerFactory(KafkaProperties kafkaProperties) {
return new DefaultKafkaConsumerFactory<>(kafkaProperties.buildConsumerProperties(), new StringDeserializer(), new JsonDeserializer<>(Update.class));
}
@Bean
public ConcurrentKafkaListenerContainerFactory<String, Update> updateKafkaListenerContainerFactory(KafkaProperties kafkaProperties) {
kafkaProperties.getProperties().put(ConsumerConfig.MAX_POLL_INTERVAL_MS_CONFIG, kafkaConsumerMaxPollIntervalMs);
kafkaProperties.getProperties().put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG, kafkaConsumerMaxPollRecords);
ConcurrentKafkaListenerContainerFactory<String, Update> factory = new ConcurrentKafkaListenerContainerFactory<>();
factory.getContainerProperties().setAckMode(AckMode.MANUAL_IMMEDIATE);
factory.setConsumerFactory(updateConsumerFactory(kafkaProperties));
factory.setConcurrency(updateConsumerConcurrency);
return factory;
}
}
application.properties
application.properties
spring.kafka.bootstrap-servers=${kafka.host}:${kafka.port}
spring.kafka.consumer.auto-offset-reset=earliest
spring.kafka.consumer.group-id=postfenix
spring.kafka.consumer.enable-auto-commit=false
spring.kafka.producer.value-serializer=org.springframework.kafka.support.serializer.JsonSerializer
如何解决此问题并使Kafka将旧消息反序列化为新消息?
How to solve this issue and let Kafka deserialize old messages into the new ones ?
已更新
这是我的听众
@Component
public class UpdateConsumer {
@KafkaListener(topics = "${kafka.topic.update}", containerFactory = "updateKafkaListenerContainerFactory")
public void onUpdateReceived(ConsumerRecord<String, Update> consumerRecord, Acknowledgment ack) {
//do some logic here
ack.acknowledge();
}
}
推荐答案
请参见文档.
从2.1版开始，类型信息可以在记录标题中传送，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.
Starting with version 2.1, type information can be conveyed in record Headers, allowing the handling of multiple types. In addition, the serializer/deserializer can be configured using Kafka properties.
JsonSerializer.ADD_TYPE_INFO_HEADERS(默认为true);设置为false可在JsonSerializer上禁用此功能(设置addTypeInfo属性).
JsonSerializer.ADD_TYPE_INFO_HEADERS (default true); set to false to disable this feature on the JsonSerializer (sets the addTypeInfo property).
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.KEY_DEFAULT_TYPE; fallback type for deserialization of keys if no header information is present.
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.VALUE_DEFAULT_TYPE; fallback type for deserialization of values if no header information is present.
JsonDeserializer.TRUSTED_PACKAGES(默认java.util，java.lang);逗号分隔的允许反序列化的封装模式列表；*表示全部反序列化.
JsonDeserializer.TRUSTED_PACKAGES (default java.util, java.lang); comma-delimited list of package patterns allowed for deserialization; * means deserialize all.
默认情况下，序列化程序会将类型信息添加到标题中.
By default, the serializer will add type information to the headers.
