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Flow diagram. In computing, serialization (or serialisation, also referred to as pickling in Python) is the process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. data streams over computer networks) and reconstructed later (possibly in a different computer ...
^ PHP will unserialize any floating-point number correctly, but will serialize them to their full decimal expansion. For example, 3.14 will be serialized to 3.140 000 000 000 000 124 344 978 758 017 532 527 446 746 826 171 875. ^ XML data bindings and SOAP serialization tools provide type-safe XML serialization of programming data structures ...
This makes accessing data in these formats much faster than data in formats requiring more extensive processing, such as JSON, CSV, and in many cases Protocol Buffers. Compared to other serialization formats however, the handling of FlatBuffers requires usually more code, and some operations are not possible (like some mutation operations).
Protocol Buffers (Protobuf) is a free and open-source cross-platform data format used to serialize structured data. It is useful in developing programs that communicate with each other over a network or for storing data.
Marshalling is similar to or synonymous with serialization, although technically serialization is one step in the process of marshalling an object.. Marshalling is describing the overall intent or process to transfer some live object from a client to a server (with client and server taken as abstract, mirrored concepts mapping to any matching ends of an arbitrary communication link ie.
This allows applications to access the data in the XML from the object, rather than using the DOM or SAX to retrieve the data from a direct representation of the XML itself. It makes it possible to read and write XML data using a programming language class library (e.g. C++, C#, Java), specifically created for a given XML data format. [1]
Discover and modify source-code constructions (such as code blocks, classes, methods, protocols, etc.) as first-class objects at runtime. Convert a string matching the symbolic name of a class or function into a reference to or invocation of that class or function. Evaluate a string as if it were a source-code statement at runtime.
It must be said that the implementation shown has a drawback: it declares an internal class. It would be better if this memento strategy could apply to more than one originator. There are mainly three other ways to achieve Memento: Serialization. A class declared in the same package.