1 रिपॉजिटरी
Awesome GitHub RepositoriesBytecode-Accelerated Data Mapping
Optimization techniques that use generated bytecode to perform object mapping faster than standard reflection.
Distinct from High-Performance Data Analysis: The candidates focus on data analysis or infrastructure performance, whereas this is about the runtime execution speed of object serialization.
Explore 1 awesome GitHub repository matching software engineering & architecture · Bytecode-Accelerated Data Mapping. Refine with filters or upvote what's useful.
Awesome Bytecode-Accelerated Data Mapping GitHub Repositories
AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
- fasterxml/jackson
FasterXML/jackson
9,740GitHub पर देखेंJackson is a Java data binding framework and multi-format data serializer used to translate data structures into native language objects. It functions as a JSON data binding library and a streaming parser that reads and writes data as discrete tokens to process large datasets with minimal memory. The project distinguishes itself through a bytecode serialization accelerator that replaces standard reflection with generated bytecode to increase data binding speed. It employs a module-based extensibility model to support a wide range of formats beyond JSON, including XML, YAML, CSV, TOML, and bin
Accelerates the conversion between objects and data formats by replacing reflection with generated bytecode.
hacktoberfestjacksonjava-json
