simdjson/simdjson

Features

• JSON Parsers - Processing large JSON datasets at maximum speed by leveraging hardware-specific vector instructions for efficient data extraction and validation.
• High-Performance Parsers - A library that uses SIMD instructions to parse and validate JSON documents at gigabytes per second.
• Hardware Acceleration - Leverages hardware-specific vector instructions and runtime CPU detection to achieve gigabyte-per-second parsing speeds.
• SIMD Parsers - Uses vector instructions to process multiple bytes of data simultaneously for high-speed structural analysis and validation.
• C++ - A high-performance header-only C++ library for parsing, querying, and serializing JSON data with minimal memory overhead.
• Runtime Hardware Optimizers - A data processing engine that detects CPU capabilities at runtime to execute the most efficient instruction sets for parsing.
• Hardware Dispatchers - The library identifies the host processor architecture at runtime to automatically select and execute the most efficient hardware-specific instructions for data processing.
• Zero-Copy Memory Mappings - The library provides direct access to memory-mapped files or string buffers to enable efficient processing of large data structures without intermediate copies.
• Stream Processing - The library parses concatenated JSON documents or newline-delimited streams by handling individual records sequentially to maintain memory efficiency during large-scale data processing.
• JSON - Handling continuous streams or concatenated JSON documents incrementally to maintain low memory usage while maintaining high throughput.
• Lazy Parsers - Extracts values from data structures only when accessed to avoid the overhead of building a full document tree.
• Path-Based Data Access - Retrieves specific values from nested structures using standard path expressions to navigate documents without requiring manual traversal of the entire tree.
• JSON - A tool for processing concatenated JSON documents and large data streams incrementally without loading entire files into memory.
• Data Handling and Throughput - Optimizes data ingestion and memory management through padded buffer alignment and strict memory capacity limits.
• Data Formats - High-speed JSON parsing using SIMD instructions.
• Developer Tools - High-performance JSON parsing library.
• Zero-Copy Data Access - Enables on-demand navigation and value retrieval from JSON structures without requiring a full initial parse of the entire document into memory.
• Memory-Efficient Parsing - Managing large-scale JSON payloads through optimized buffer allocation, memory mapping, and reusable parsing resources to minimize system overhead.
• Error Handling - The library reports parsing failures through a result-based mechanism to safely manage and recover from invalid input or processing errors.
• Memory-Mapped File Access - Maps large input files directly into the address space to minimize data copying and optimize memory access patterns.
• Serialization Libraries - Provides automated conversion between custom objects and JSON strings using compile-time reflection and mapping hooks.
• Lazy Extraction - Navigating and querying nested JSON structures lazily to retrieve specific values without the overhead of parsing entire documents into memory.
• Compile-Time Optimization Tools - The library converts data strings into structured formats during the compilation process to eliminate runtime overhead for static configuration or data.
• Encoding Validators - The library verifies that strings and documents conform to UTF-8 or Unicode standards to ensure data integrity before and during processing.
• In-Memory DOM Representations - Maps parsed content into an in-memory tree structure to allow for intuitive navigation and manipulation of document elements.
• Custom Type Converters - Supports deserializing JSON data directly into user-defined types to simplify the conversion from raw formats to native application objects.
• Typed Data Extraction - Retrieves primitive data types, including strings, numbers, and booleans, from parsed documents for direct use in application logic.
• Parsing Limits - The library allows configuration of maximum nesting depth and memory buffer limits to ensure safe and predictable processing of large or complex inputs.
• JSON Construction Utilities - Offers a structured interface for programmatically building valid JSON strings by appending elements to high-performance buffers.
• Native Resource Lifecycle Managers - The library allows for the manual release or reset of parser resources to enable memory reclamation and reuse across multiple parsing operations.
• Error Handling Patterns - Returns structured error codes instead of exceptions to provide predictable and safe failure reporting during parsing operations.
• Memory Alignment Utilities - The library assembles memory-aligned string buffers to ensure optimal hardware instruction execution and high-performance parsing operations.

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