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Schema-IDL? Standard APIs Supports zero-copy operations Apache Arrow: Apache Software Foundation — De facto: Arrow Columnar Format: Yes No Yes Built-in C, C++, C#, Go, Java, JavaScript, Julia, Matlab, Python, R, Ruby, Rust, Swift Yes Apache Avro: Apache Software Foundation — No Apache Avro™ Specification: Yes Partial g — Built-in C, C# ...
File metadata, including the schema definition. The 16-byte, randomly-generated sync marker for this file. For data blocks Avro specifies two serialization encodings: [6] binary and JSON. Most applications will use the binary encoding, as it is smaller and faster. For debugging and web-based applications, the JSON encoding may sometimes be ...
Duck typing is similar to, but distinct from, structural typing.Structural typing is a static typing system that determines type compatibility and equivalence by a type's structure, whereas duck typing is dynamic and determines type compatibility by only that part of a type's structure that is accessed during runtime.
In software engineering, a schema migration (also database migration, database change management) refers to the management of version-controlled, incremental and sometimes reversible changes to relational database schemas. A schema migration is performed on a database whenever it is necessary to update or revert that database's schema to some ...
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 ...
Thrift is written in C++, but can create code for some other programming languages. To create a Thrift service, one has to write Thrift files that describe it, generate the code in the destination language, write some code to start the server, and call it from the client. An example of such a description file:
Vegeta is an HTTP load testing tool written in Go that can be used as a command in a command-line interface or as a library. [4] The program tests how an HTTP-based application behaves when multiple users access it at the same time [4] by generating a background load of GET requests. [5]
The interface {} type can be used to model structured data of any arbitrary schema in Go, such as JSON or YAML data, by representing it as a map [string] interface {} (map of string to empty interface). This recursively describes data in the form of a dictionary with string keys and values of any type.