Tencent/rapidjson
Rapidjson
RapidJSON is a header-only C++ library designed for high-performance parsing, generation, and manipulation of JSON data. It functions as a dual-mode engine, providing both an in-memory document object model for tree-based manipulation and a stream-based interface for event-driven processing. The library is built to minimize memory footprint and maximize execution speed, making it suitable for resource-constrained environments.
The library distinguishes itself through advanced memory management and optimization techniques, including in-situ parsing that modifies input buffers directly to eliminate redundant allocations. It utilizes template-based static polymorphism to resolve types at compile time, avoiding the overhead of virtual function calls. Developers can further optimize performance by providing custom memory allocators and leveraging constant string referencing to avoid unnecessary data copying.
Beyond core parsing and serialization, the library includes comprehensive tools for document navigation and structural modification using path-based pointers. It supports robust data integrity through incremental schema validation, character encoding transcoding, and detailed error reporting. The toolkit also provides flexible output formatting, allowing for buffered stream management and the insertion of raw data fragments during serialization.
Features
- C++ - Provides a high-performance C++ library for parsing, generating, and manipulating JSON data.
- Data Serialization and Parsing - Converts text from strings or input streams into an in-memory document object model.
- JSON Parsers - Functions as a dual-mode engine supporting both in-memory DOM manipulation and event-based SAX streaming.
- High-Performance Parsers - Implements high-performance JSON parsing optimized for minimal memory footprint and maximum execution speed.
- JSON-Schema - Ensures data integrity by verifying structured content against predefined JSON-Schema rules during parsing or generation.
- In-Situ Parsers - Modifies input buffers directly during parsing to eliminate redundant memory allocations.
- Stream Parsers - Handles large data sources by processing input and output through buffers.
- Structured Data Exporters - Exports document object model events to transform raw data into custom formats or specific structural requirements.
- JSON Processors - Provides tools for navigating and modifying complex nested JSON structures using path-based pointers.
- JSON Content Generators - Constructs structured text programmatically to output data in a valid format.
- Pointer-Based Navigation - Accesses or modifies specific elements within a document using pointer-based paths.
- Memory-Efficient Parsing - Implements in-situ parsing to modify input buffers directly, eliminating redundant memory allocations and data copying.
- Data Formats - Fast JSON parser and generator.
- Databases & Data - Fast JSON parser and generator
- Procesare JSON - Fast JSON parser and generator with SAX/DOM APIs.
- Serialization and Formats - Fast JSON parser and generator.
- Structured Event Streams - Processes data as a sequential stream of tokens to minimize memory usage during high-performance parsing.
- Event Processing Systems - Streams data through event-based handlers to minimize memory usage during high-performance parsing of large files.
- Document Manipulation Utilities - Navigates, retrieves, and updates values within document structures using path-based pointers.
- Custom Memory Allocators - Minimizes memory usage by using custom allocators for large data structures.
- JSON Output Buffers - Stores serialized data in an in-memory stream that dynamically resizes.
- JSON - Updates, adds, or removes elements within arrays and objects using memory-efficient move semantics.
- Schema Validation Libraries - Performs incremental schema validation during stream parsing to identify and terminate on invalid content.
- Header-Only Libraries - Ships as a lightweight, header-only library for easy integration into resource-constrained applications.
- Constant String Referencing - Points directly to existing string literals to minimize memory footprint.
- Data Schema Validation - Supports incremental schema validation to identify and reject invalid content during the parsing process.
- Parse Error Reporters - Detects and reports syntax or encoding errors with detailed error codes and offsets.
- Event Consumers - Constructs document trees by consuming sequential event streams from external sources.
- Content Schema Validation - Verifies that JSON content conforms to established standards and specifications for system compatibility.
- JSON Libraries - Stores values as a variant type supporting objects, arrays, and primitives within a memory-managed structure.
- Formatters - Creates human-readable text by applying specific indentation and newline rules.
- Pointer Path Caching - Pre-defines document paths to bypass repeated runtime parsing and memory allocation.
- Pointer-Based Navigation - Enables rapid lookups and modifications within nested structures using path-based pointers without full tree traversal.
- Heap Allocation Strategies - Provides custom memory allocators to control heap usage and optimize performance for specific workloads.
- String Storage Strategies - Optimizes performance by choosing between copying values or referencing existing memory.
- Parse Operation Validators - Checks the status of a completed parsing task to identify and report errors.
