11/28/2023 0 Comments Serialized![]() Trivial implementations which serialize all data members may violate encapsulation. Serialization breaks the opacity of an abstract data type by potentially exposing private implementation details. ![]() This is useful in the programming of user interfaces whose contents are time-varying - graphical objects can be created, removed, altered, or made to handle input events without necessarily having to write separate code to do those things. It is not necessary to actually build the prior copy because differences can be detected on the fly, a technique called differential execution. Since both serializing and deserializing can be driven from common code (for example, the Serialize function in Microsoft Foundation Classes), it is possible for the common code to do both at the same time, and thus, 1) detect differences between the objects being serialized and their prior copies, and 2) provide the input for the next such detection. The deserialization process includes an inverse step called pointer swizzling. To deal with this, the serialization process includes a step called unswizzling or pointer unswizzling, where direct pointer references are converted to references based on name or position. In applications where higher performance is an issue, it can make sense to expend more effort to deal with a more complex, non-linear storage organization.Įven on a single machine, primitive pointer objects are too fragile to save because the objects to which they point may be reloaded to a different location in memory. In many applications, this linearity is an asset, because it enables simple, common I/O interfaces to be utilized to hold and pass on the state of an object. Inherent to any serialization scheme is that, because the encoding of the data is by definition serial, extracting one part of the serialized data structure requires that the entire object be read from start to end, and reconstructed. Serializing the data structure in an architecture-independent format means preventing the problems of byte ordering, memory layout, or simply different ways of representing data structures in different programming languages. ![]() This means that the simpler and faster procedure of directly copying the memory layout of the data structure cannot work reliably for all architectures. For example, for maximal use of distribution, a computer running on a different hardware architecture should be able to reliably reconstruct a serialized data stream, regardless of endianness. detecting changes in time-varying data.įor some of these features to be useful, architecture independence must be maintained.distributing objects, especially in component-based software engineering such as COM, CORBA, etc.remote procedure calls, e.g., as in SOAP.storing data (in databases, on hard disk drives).serializing data for transfer across wires and networks ( messaging). ![]() Serialization application examples includes methods such as: The opposite operation, extracting a data structure from a series of bytes, is deserialization, (also called unserialization or unmarshalling). ![]() This process of serializing an object is also called marshalling an object in some situations. Serialization of object-oriented objects does not include any of their associated methods with which they were previously linked. For many complex objects, such as those that make extensive use of references, this process is not straightforward. When the resulting series of bits is reread according to the serialization format, it can be used to create a semantically identical clone of the original object. data streams over computer networks) and reconstructed later (possibly in a different computer environment). files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. In computing, serialization (or serialisation) is the process of translating a data structure or object state into a format that can be stored (e.g. For other uses, see Serialization (disambiguation). This article is about data structure encoding. ![]()
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