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This is a comparison of data serialization formats, various ways to convert complex objects to sequences of bits. It does not include markup languages used exclusively as document file formats . Overview
The portal's practice questions were useful but significantly easier than the actual interview questions. I wish I'd known the questions in the portal weren't a reflection of the actual interview.
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 ...
[6]: 67 Candidates answering questions should consider the use of technology in the present and future, and user scenarios. Some questions involve projects that the candidate has worked on in the past. A coding interview is intended to seek out creative thinkers and those who can adapt their solutions to rapidly changing and dynamic scenarios.
FlatBuffers is a free software library implementing a serialization format similar to Protocol Buffers, Thrift, Apache Avro, SBE, and Cap'n Proto, primarily written by Wouter van Oortmerssen and open-sourced by Google. It supports “zero-copy” deserialization, so that accessing the serialized data does not require first copying it into a ...
They define C++ classes for each message and service in example.proto. Canonically, messages are serialized into a binary wire format which is compact, forward- and backward-compatible , but not self-describing (that is, there is no way to tell the names, meaning, or full datatypes of fields without an external specification).
For types 2 (byte string) and 3 (text string), the count is the length of the payload. For types 4 (array) and 5 (map), the count is the number of items (pairs) in the payload. For type 6 (tag), the payload is a single item and the count is a numeric tag number which describes the enclosed item.
JSON-LD, [31] a JSON-based serialization. N3 or Notation3, a non-standard serialization that is very similar to Turtle, but has some additional features, such as the ability to define inference rules. RDF/XML, [32] an XML-based syntax that was the first standard format for serializing RDF.