Spring boot ApacheAvro，带有Kafka消息传递和Hazelcast作为持久性提供程序

据我所知，卡夫卡使用消息转换器来传递消息

对于

Avro

，它使用

AvroSchemaRegistryClientMessageConverter

，它使用缓存进行优化

我们使用

Hazelcast

作为缓存提供程序，因此对象需要

可序列化

，我们知道原因

现在，Avro模式不是以可序列化的方式生成的，当我尝试发送消息时，它会失败，原因是：

Caused by: com.hazelcast.nio.serialization.HazelcastSerializationException: Failed to serialize 'org.apache.avro.Schema$RecordSchema'
    at com.hazelcast.internal.serialization.impl.SerializationUtil.handleSerializeException(SerializationUtil.java:82) ~[hazelcast-3.12.9.jar:3.12.9]
    at com.hazelcast.internal.serialization.impl.AbstractSerializationService.toBytes(AbstractSerializationService.java:157) ~[hazelcast-3.12.9.jar:3.12.9]
    at com.hazelcast.internal.serialization.impl.AbstractSerializationService.toBytes(AbstractSerializationService.java:133) ~[hazelcast-3.12.9.jar:3.12.9]
    at com.hazelcast.internal.serialization.impl.AbstractSerializationService.toData(AbstractSerializationService.java:118) ~[hazelcast-3.12.9.jar:3.12.9]
    at com.hazelcast.map.impl.proxy.MapProxySupport.toDataWithStrategy(MapProxySupport.java:1241) ~[hazelcast-3.12.9.jar:3.12.9]
    at com.hazelcast.map.impl.proxy.MapProxySupport.getInternal(MapProxySupport.java:343) ~[hazelcast-3.12.9.jar:3.12.9]
    at com.hazelcast.map.impl.proxy.MapProxyImpl.get(MapProxyImpl.java:120) ~[hazelcast-3.12.9.jar:3.12.9]
    at com.hazelcast.spring.cache.HazelcastCache.lookup(HazelcastCache.java:162) ~[hazelcast-spring-3.12.9.jar:3.12.9]
    at com.hazelcast.spring.cache.HazelcastCache.get(HazelcastCache.java:73) ~[hazelcast-spring-3.12.9.jar:3.12.9]
    at org.springframework.cloud.stream.schema.avro.AvroSchemaRegistryClientMessageConverter.resolveSchemaForWriting(AvroSchemaRegistryClientMessageConverter.java:299) ~[spring-cloud-stream-schema-2.2.1.RELEASE.jar:2.2.1.RELEASE]
    at org.springframework.cloud.stream.schema.avro.AbstractAvroMessageConverter.convertToInternal(AbstractAvroMessageConverter.java:125) ~[spring-cloud-stream-schema-2.2.1.RELEASE.jar:2.2.1.RELEASE]
    at org.springframework.messaging.converter.AbstractMessageConverter.toMessage(AbstractMessageConverter.java:217) ~[spring-messaging-5.2.4.RELEASE.jar:5.2.4.RELEASE]
    at org.springframework.messaging.converter.AbstractMessageConverter.toMessage(AbstractMessageConverter.java:207) ~[spring-messaging-5.2.4.RELEASE.jar:5.2.4.RELEASE]
    at org.springframework.messaging.converter.CompositeMessageConverter.toMessage(CompositeMessageConverter.java:83) ~[spring-messaging-5.2.4.RELEASE.jar:5.2.4.RELEASE]
    at org.springframework.cloud.stream.binding.MessageConverterConfigurer$OutboundContentTypeConvertingInterceptor.doPreSend(MessageConverterConfigurer.java:263) ~[spring-cloud-stream-3.0.3.RELEASE.jar:3.0.3.RELEASE]
    at org.springframework.cloud.stream.binding.MessageConverterConfigurer$AbstractContentTypeInterceptor.preSend(MessageConverterConfigurer.java:295) ~[spring-cloud-stream-3.0.3.RELEASE.jar:3.0.3.RELEASE]
    at org.springframework.integration.channel.AbstractMessageChannel$ChannelInterceptorList.preSend(AbstractMessageChannel.java:613) ~[spring-integration-core-5.2.4.RELEASE.jar:5.2.4.RELEASE]
    at org.springframework.integration.channel.AbstractMessageChannel.send(AbstractMessageChannel.java:443) ~[spring-integration-core-5.2.4.RELEASE.jar:5.2.4.RELEASE]
    ... 158 common frames omitted
Caused by: com.hazelcast.nio.serialization.HazelcastSerializationException: There is no suitable serializer for class org.apache.avro.Schema$RecordSchema
    at com.hazelcast.internal.serialization.impl.AbstractSerializationService.serializerFor(AbstractSerializationService.java:487) ~[hazelcast-3.12.9.jar:3.12.9]
    at com.hazelcast.internal.serialization.impl.AbstractSerializationService.toBytes(AbstractSerializationService.java:146) ~[hazelcast-3.12.9.jar:3.12.9]
    ... 174 common frames omitted

根据我的发现，我尝试以这种方式配置卡夫卡：

@Configuration
public class KafkaConfig {
    @Bean
    public Map<String, Object> producerConfigs() {
        Map<String, Object> props = new HashMap<>();
        props.put(StreamsConfig.KEY_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
        props.put(StreamsConfig.VALUE_SERDE_CLASS_CONFIG, Serdes.String().getClass().getName());
        return props;
    }

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

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

@配置
公共级卡夫卡康菲{
@豆子
公共地图产品配置（）{
Map props=newhashmap（）；
put（StreamsConfig.KEY_SERDE_CLASS_CONFIG，Serdes.String（）.getClass（）.getName（））；
put（StreamsConfig.VALUE\u SERDE\u CLASS\u CONFIG，Serdes.String（）.getClass（）.getName（））；
返回道具；
}
@豆子
公共生产工厂生产工厂（）{
返回新的DefaultKafkaProducerFactory（producerConfigs（））；
}
@豆子
公共卡夫卡模板卡夫卡模板（）{
返回新的卡夫卡模板（producerFactory（））；
}
}

但它仍在失败

显然，问题是如何克服这一点？也许我配置了错误的东西，但我真的不知道如何正确地完成它

编辑： 当我向项目中添加第二个缓存管理器（cafferine）并将bean标记为@Primary时，cacheManager字段被设置为

CaffeineCacheManager

，并且序列化没有问题。但是我不想在项目中有两个缓存提供程序，我需要显式地为缓存方法上的hazelcast设置缓存管理器

请协助

---

谢谢大家!

你能描述一下你是如何同时使用卡夫卡和黑兹尔卡斯特的吗？我不能，这是透明的。无心