![]() ![]() The list includes read and write hooks, several types of stream iterators, and filter templates. Serial library provides a variety of means for doing this. Having a large file of data, one might want to investigate information containers only of a particular type. Input data can be very large in size also, reading it completely into memory could not be the goal of processing. In addition to small memory footprint, it also works much faster. ![]() It reads data by small chunks and writes it immediately after reading. To simplify this task and to avoid storing data in memory, the serial library provides the “object stream copier” class. The only problem is that the size of data can be huge. One approach could be reading data object completely into memory and then writing it in another format. All it takes to read or write a top-level data object is one function call – all the details are handled by an object stream.Ĭlosely related to serialization is the task of converting data from one format into another. Guided by the type information embedded into data object, on reading they allocate memory when needed, fill in data, and validate that all mandatory data is present on writing they guarantee that all relevant data is written and that the resulting document is well-formed. They perform encoding or decoding of data according to format specifications. “Object streams” are intermediaries between data storage objects and input or output stream. The Serial library provides a means of traversing this data tree without knowing its structure in advance – using only type information C++ code generated by DATATOOL makes it possible to access any child node directly. Any such data storage object can be viewed as a node tree that provides random access to its data. Data objects contain data and type information only. Structure of the data is described with the help of “type information”. The design purpose was to make these classes as lightweight as possible, moving all details of serialization into specialized classes - “object streams”. Based on such specification, DATATOOL application, which is part of NCBI C++ toolkit, generates a collection of data storage classes that can be used to store and serialize data. In our case it can be ASN.1, DTD or XML Schema. The structure of data is described by some sort of formal language. See also the DATATOOL documentation discussion of generating C++ code for serializable objects from the corresponding ASN.1 definition. It supports serialization in ASN.1 (text or BER encoding), XML, and JSON formats. The Serial library provides a means for loading, accessing, manipulating, and serialization of data in a formatted way. The overview for this chapter consists of the following topics: Data Serialization (ASN.1, XML, JSON) The SERIAL API ![]()
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