bytedance/sonic
Sonic
Sonic is a high-performance Go JSON serialization library that provides tools for encoding and decoding native data structures. It functions as a JIT-accelerated encoder, a JSON AST parser, a stream processor, and a lazy decoder.
The project utilizes just-in-time machine code generation to optimize the encoding of large data schemas and employs a JIT assembler to maximize serialization and deserialization speeds. It features a precompiled schema warmup process to prevent latency spikes during initial execution and leverages SIMD hardware instructions for accelerated parsing.
The library covers a broad range of processing capabilities, including AST-based document manipulation for indexing and querying without full deserialization, and lazy decoding to extract specific values by reading only requested keys. It supports memory-efficient large-scale streaming for datasets that exceed system memory and uses zero-copy string referencing to reduce allocations. Additional utilities include visitor-based traversal for custom type mapping, numeric precision control, and syntax validation.
Features
- JSON Serialization Libraries - Acts as a high-performance Go library for converting native data structures to and from JSON using JIT acceleration.
- SIMD Parsers - Leverages SIMD hardware instructions to process multiple bytes of JSON data simultaneously for high-speed parsing.
- JSON Serializers - Implements highly optimized conversion of Go data structures into JSON formats for transmission or storage.
- JSON - Provides high-performance parsing of JSON strings and byte slices into native Go data structures.
- JSON Processing - Provides ultra-low CPU and memory overhead for high-performance JSON serialization and deserialization in latency-sensitive applications.
- JIT-Accelerated Encoders - Uses just-in-time machine code generation to optimize the encoding of large data schemas for maximum speed.
- Lazy JSON Scanners - Defers parsing of JSON values by reading only the requested keys to minimize memory overhead.
- Hardware-Accelerated JSON Processing - Implements hardware-accelerated conversion of native data structures to JSON strings and back.
- JIT Compilation Engines - Implements a JIT engine that generates native machine code at runtime to maximize serialization and deserialization speeds.
- Object Serialization - Converts native Go objects into JSON byte slices or formatted strings with support for raw message embedding.
- Visitor-Based Parsing - Uses a preorder traversal mechanism to parse JSON into custom types without intermediate representations.
- Visitor Traversals - Implements a visitor-based traversal mechanism to parse JSON structures into custom non-standard types.
- JSON Data Parsers - Allows efficient retrieval of specific values or paths from JSON documents without the overhead of full decoding.
- JSON Document Manipulation - Provides an abstract syntax tree for modifying and indexing JSON documents without requiring full object deserialization.
- AST Parsers - Provides a JSON AST parser for efficient searching and modification of documents without full deserialization.
- JIT Schema Compilation - Warms up the JIT assembler for large schemas to prevent request timeouts and memory spikes.
- AST Path Querying - Provides the ability to parse JSON into an AST for searching and modifying specific data paths.
- JSON - Implements a stream processor to handle massive JSON datasets incrementally without exhausting system memory.
- Stream Encoding - Writes native objects as JSON to output streams with configurable indentation and HTML escaping.
- Zero-Copy Deserialization - Optimizes memory by referencing strings directly from the source buffer instead of allocating new memory.
- JSON Path Navigation - Retrieves specific values from JSON documents using keys or indices without deserializing the entire structure.
- JSON Raw Value Streaming - Defers the parsing of JSON values by storing them as raw byte slices for subsequent processing.
- JIT Warmup - Ships a precompiled schema warmup process to prevent latency spikes during the first execution of large data schemas.
- Warm-up Utilities - Precompiles serialization logic for large schemas to ensure stable performance during the first execution.
- Serialization Configurations - Offers a configuration system to control HTML escaping, key sorting, and compact formatting of JSON output.
- Traitement JSON - High-performance JSON parser.
- Configuration Management - Listed in the “Configuration Management” section of the Awesome Go awesome list.
- Gestion de configuration - Fast JSON serialization and deserialization.
