bytedance/sonic

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.
• JSON Processing - High-performance JSON parser.
• Configuration Management - Listed in the “Configuration Management” section of the Awesome Go awesome list.
• Configuration Management - Fast JSON serialization and deserialization.

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