unmarshalling

[美]//ʌnˈmɑːʃəlɪŋ//
[英]//ʌnˈmɑrʃəlɪŋ//

释义

v.解组;编组;解包

短语搭配

unmarshalling data

数据解组

unmarshalling objects

解组对象

unmarshalling process

解组过程

unmarshalling error

解组错误

unmarshalling operation

解组操作

unmarshalling mechanism

解组机制

unmarshalling function

解组函数

unmarshalling routine

解组例程

unmarshalling algorithm

解组算法

unmarshalling xml

解组xml

例句

the unmarshalling process converts the xml document back into usable java objects for processing.

反序列化过程将xml文档转换回可用的java对象以进行处理。

efficient unmarshalling is crucial for maintaining high performance in distributed systems that handle large volumes of data.

高效的反序列化对于在处理大量数据的分布式系统中保持高性能至关重要。

the framework provides automatic unmarshalling capabilities, reducing the amount of boilerplate code developers must write.

该框架提供自动反序列化功能,减少了开发人员必须编写的样板代码数量。

when unmarshalling json data, the library validates all field types before creating the corresponding objects.

反序列化json数据时,库在创建相应对象之前会验证所有字段类型。

performance optimization during unmarshalling can significantly reduce application latency and improve user experience.

反序列化过程中的性能优化可以显著降低应用程序延迟并改善用户体验。

the unmarshalling mechanism supports complex nested structures, allowing developers to work with hierarchical data easily.

反序列化机制支持复杂的嵌套结构,使开发人员能够轻松处理层次化数据。

error handling during the unmarshalling process prevents corrupted data from entering the application's main workflow.

反序列化过程中的错误处理可防止损坏的数据进入应用程序的主要工作流程。

modern unmarshalling libraries offer annotations that simplify the mapping between xml elements and object properties.

现代反序列化库提供注解,简化xml元素与对象属性之间的映射。

the unmarshalling algorithm efficiently converts binary data back into structured objects with minimal memory overhead.

反序列化算法高效地将二进制数据转换回结构化对象,同时将内存开销降至最低。

developers can customize the unmarshalling process by providing custom type converters for specialized data formats.

开发人员可以通过为专门的数据格式提供自定义类型转换器来自定义反序列化过程。

thread safety during unmarshalling ensures that multiple requests can be processed simultaneously without data corruption.

反序列化过程中的线程安全性确保多个请求可以同时处理而不会发生数据损坏。

caching serialized data speeds up the unmarshalling process when the same objects need to be reconstructed frequently.

当需要频繁重建相同对象时,缓存序列化数据可以加快反序列化过程。

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