通过 Spring 数据存储库保存带有大地图的 POJO 导致 StackOverflowError

Save POJO with big Map inside via Spring Data repository leads to StackOverflowError

通常:我正在从 Kafka Stream 读取序列化对象(作为 JSON)并尝试使用 Spring 数据存储库将其保存到 Redis。
在对 repository.save() 进行两次调用(对象尚未保存到 Redis)后,我得到 WhosebugError:

Exception in thread "processOffers-applicationId-1c24ef63-baae-47b9-beb7-5e6517736bc4-StreamThread-1" java.lang.WhosebugError
at org.springframework.data.util.Lazy.get(Lazy.java:94)
at org.springframework.data.mapping.model.AnnotationBasedPersistentProperty.usePropertyAccess(AnnotationBasedPersistentProperty.java:277)
at org.springframework.data.mapping.model.BeanWrapper.getProperty(BeanWrapper.java:134)
at org.springframework.data.mapping.model.BeanWrapper.getProperty(BeanWrapper.java:115)
at org.springframework.data.redis.core.convert.MappingRedisConverter.lambda$writeInternal(MappingRedisConverter.java:601)
at org.springframework.data.mapping.model.BasicPersistentEntity.doWithProperties(BasicPersistentEntity.java:353)
at org.springframework.data.redis.core.convert.MappingRedisConverter.writeInternal(MappingRedisConverter.java:597)
at org.springframework.data.redis.core.convert.MappingRedisConverter.lambda$writeInternal(MappingRedisConverter.java:639)

序列化的 POJO 看起来像这样:

@Data
@With
@NoArgsConstructor
@AllArgsConstructor
@RedisHash("students")
public class Student {
    @Id
    @JsonProperty("student_id")
    private long id;

    @JsonProperty("entities")
    private Map<String, Object> entities = new HashMap<>();
}

地图实体包含 100 多个条目,带有嵌套地图(对象)。
有趣的部分:如果我将地图清空,一切正常,数据会立即保存到 Redis。

POJO对应的存储库:

@Repository
public interface StudentRepository extends CrudRepository<Student, Long> {
}

此外,我已经为 Long id 字段定义了 RedisCustomConversion:

@Component
@ReadingConverter
public class BytesToLongConverter implements Converter<byte[], Long> {
    @Override
    public Long convert(final byte[] source) {
        ByteBuffer buffer = ByteBuffer.allocate(Long.BYTES);
        buffer.put(source);
        buffer.flip();
        return buffer.getLong();
    }
}

@Component
@WritingConverter
public class LongToBytesConverter implements Converter<Long, byte[]> {
    @Override
    public byte[] convert(final Long source) {
        ByteBuffer buffer = ByteBuffer.allocate(Long.BYTES);
        buffer.putLong(source);
        return buffer.array();
    }
}

Redis 配置class 如下所示:

@Configuration
@EnableRedisRepositories
public class RedisConfiguration {
    @Bean
    @Primary
    public RedisProperties redisProperties() {
        return new RedisProperties();
    }

    @Bean
    public RedisConnectionFactory redisConnectionFactory() {
        var config = new RedisStandaloneConfiguration();
        var props = redisProperties();
        config.setHostName(props.getHost());
        config.setPort(props.getPort());
        return new JedisConnectionFactory(config);
    }

    @Bean
    public RedisTemplate<String, Object> redisTemplate() {
        var template = new RedisTemplate<String, Object>();
        template.setConnectionFactory(redisConnectionFactory());
        template.setDefaultSerializer(new GenericJackson2JsonRedisSerializer());
        return template;
    }

    @Bean
    public RedisCustomConversions redisCustomConversions(LongToBytesConverter longToBytes,
                                                         BytesToLongConverter bytesToLong) {
        return new RedisCustomConversions(Arrays.asList(longToBytes, bytesToLong));
    }
}

UPD: 我在 Spring Data Redis Jira 上找到了这个 issue,但是分辨率设置为“固定”,所以我觉得很奇怪。

我已经使用 GenericJackson2JsonRedisSerializer 为 POJO 中的内部映射定义了自定义 WritingConverter 和 ReadingConverter,一切顺利! 代码:

@Component
@WritingConverter
public class FieldsToBytesConverter implements Converter<Map<String, Object>, byte[]> {
    private final RedisSerializer serializer;

    public FieldsToBytesConverter() {
        serializer = new GenericJackson2JsonRedisSerializer();
    }

    @Override
    public byte[] convert(Map<String, Object> value) {
        return serializer.serialize(value);
    }
}

@Component
@ReadingConverter
public class BytesToFieldsConverter implements Converter<byte[], Map<String, Object>> {
    private final GenericJackson2JsonRedisSerializer serializer;

    public BytesToFieldsConverter() {
        serializer = new GenericJackson2JsonRedisSerializer();
    }

    @Override
    public Map<String, Object> convert(byte[] value) {
        return (Map<String, Object>) serializer.deserialize(value);
    }
}