RedisJSON/RedisJSON
RedisJSON
RedisJSON is a system for storing and managing JSON data within Redis using a native binary format. It enables the storage of JSON documents and the retrieval of nested data using targeted path syntax.
The project provides the ability to perform atomic updates on individual elements within a nested JSON object, allowing for modifications without retrieving and rewriting the entire document. It further supports NoSQL data indexing by creating secondary indexes on specific fields to accelerate search and filtering operations across datasets.
Its broader capabilities cover hierarchical data retrieval and the mapping of JSON fields to external index structures for fast searching.
Features
- JSON Document Storage - Provides native storage of semi-structured data as binary JSON documents within Redis.
- JSON Value Modifiers - Inserts, updates, or deletes values at specific key paths within JSON byte slices.
- Atomic Field Operators - Provides atomic updates to specific JSON fields without replacing the entire document.
- Binary Tree Storage - Implements a native binary tree storage format for JSON documents to ensure fast access.
- Atomic Document Transforms - Performs multiple content changes in a single atomic operation to ensure document state integrity.
- Path-Based Hierarchical Retrieval - Extracts specific values from complex nested structures using targeted path syntax.
- JSON Data Extraction - Enables extraction of specific elements or subsets from JSON documents using path syntax.
- JSON Document Manipulation - Provides logic for updating specific property values and modifying arrays within JSON documents.
- Nested Data Extractors - Provides tools for searching and retrieving specific values from deeply nested JSON objects.
- Path-Based Data Access - Provides syntax for navigating and extracting values from nested JSON structures using paths.
- JSON Indexing - Creates searchable indexes over semi-structured JSON documents to accelerate data retrieval.
- Secondary Indexes - Supports creating secondary indexes on JSON fields to accelerate search and filtering.
- Performance Caching Systems - Optimizes computational performance by using binary tree storage for JSON caching in Redis.
- Search Index Field Mapping - Maps specific JSON fields to external search index structures for efficient querying.
- In-Place Binary Data Updates - Allows modifying specific values directly within the binary representation to avoid document rewriting.
- C Memory Management - Uses manual C memory management to achieve low overhead and high performance.
