apache/incubator-kvrocks

Features

• Distributed Key-Value Stores - A scalable data system that manages data across multiple nodes using cluster topology and slot migration.
• Disk-Based Key-Value Storage - Persists key-value data to disk using RocksDB to reduce memory costs while maintaining high-performance access.
• Unbounded Key-Value Stores - Provides a disk-based key-value store using RocksDB to manage datasets that exceed physical memory.
• LSM-Tree Storage Engines - Leverages a Log-Structured Merge-Tree storage engine to persist large datasets to physical disk.
• Stream Append Operations - Records events with unique millisecond-sequence identifiers in an append-only data structure.
• Cluster Request Redirections - Sends the correct node address to clients when a request hits a node not serving the target slot.
• Cluster Topology Management - Configures node roles and slot assignments across a cluster using versioned updates to ensure consistency.
• Embedded Storage Engines - Implements a high-performance storage layer based on the RocksDB embedded engine for disk-based persistence.
• Disk-Based NoSQL Databases - Provides a disk-persistent NoSQL storage system for large key-value and JSON datasets.
• Distributed Database Clusters - Organizes database nodes into a coordinated cluster for high availability and horizontal scaling.
• Dynamic Slot Migrations - Moves data ownership between nodes in real time to enable scaling and load balancing.
• Hash Field Management - Manages field-value pairs within hash structures with support for field-level expiration and numeric increments.
• Hash Map Storage - Maps keys to field-value pairs by splitting entries to maintain performance as maps grow.
• Incremental Data Synchronization - Synchronizes data from master nodes to replicas through incremental updates and full backup restoration.
• JSON Document Storage - Saves semi-structured data using JSON or CBOR encoding for native document persistence.
• JSON Document Manipulation - Provides logic for updating property values and modifying arrays within stored JSON documents.
• Key-Value Pair Managers - Provides a primary storage mechanism for mapping keys to raw values with support for automatic expiration.
• Ordered List Management - Maintains sequences of elements with support for blocking pops and atomic transfers.
• Redis Cluster Deployments - Organizes multiple nodes into a cluster topology using a centralized controller to manage roles and slots.
• Client-Compatible Topologies - Creates a cluster topology that works with standard cluster clients without requiring modifications.
• Redis Compatible Stores - Implements the Redis protocol to ensure seamless compatibility with existing ecosystem clients and proxy tools.
• String Value Assignments - Manages the assignment of string values to keys, including atomic updates and manipulation.
• String Data Structures - Implements primitive string and binary storage with support for atomic increments and substring operations.
• Capacity Scaling - Redistributes data slots between nodes to balance load or increase total storage capacity.
• Primary-Replica Log Replication - Synchronizes state from master to replica nodes by streaming incremental change logs and snapshots.
• Message Stream Consumer Groups - Appends and consumes entries in a log-like structure with support for parallel processing via consumer groups.
• Hash Slot Sharding - Partitions the keyspace into fixed hash slots assigned to nodes for horizontal scaling.
• Vector Databases and Search - Provides a specialized engine for storing and performing similarity searches on high-dimensional vector embeddings.
• Backup and Recovery - Creates full and incremental copies of the dataset for disaster recovery and persistence.
• Bitmap Storage - Implements fragmented storage for large sequences of bits to enable efficient arbitrary index writing.
• Point-in-Time Database Snapshots - Generates point-in-time snapshots of the database to disk via complete or incremental copies.
• Key Expiration Management - Handles key lifecycles using existence checks and time-to-live settings to control automatic eviction.
• Atomic Transaction Execution - Groups multiple commands into atomic blocks to ensure they either execute completely or not at all.
• Full Text Search - Creates and queries full-text search indexes to find documents matching specific text filters and keywords.
• Full-Text Search Indexes - Creates and queries searchable full-text indexes to retrieve documents using complex text filters.
• Geospatial Indexes - Implements geospatial indexing to calculate distances and find members within a specific radius.
• Centroid-Based Approximations - Clusters data points into centroids to provide real-time approximations of quantiles for analytics.
• Sorted Integer Sets - Stores and retrieves ranges of integers in a sorted collection for numerical range queries.
• Binary Document Encodings - Saves structured JSON data using binary encoding to reduce disk usage and improve parsing speed.
• Optimistic Locking - Provides atomic blocks that only execute if the underlying data has not changed since being read.
• Probabilistic Data Structures - Uses sketches and filters to estimate set cardinality and membership with minimal memory overhead.
• Probabilistic Membership Filters - Provides memory-efficient probabilistic filters to verify set membership with minimal false positives.
• Real-Time Data Streaming - Manages chronological event logs and consumer groups for asynchronous data processing and messaging.
• Complex Search Querying - Executes complex queries using search-compatible syntax or a subset of SQL SELECT statements for record retrieval.
• Secondary Indexes - Provides secondary indexes on numeric and vector fields to enable complex queries over large datasets.
• Server-Side Scripting - Executes scripts on the server to perform complex logic atomically and reduce network round-trips.
• Sorted Sets - Maintains a set of unique integer members sorted in ascending order.
• Compaction Management - Automatically merges and rewrites sorted runs in the background to reclaim space and maintain read performance.
• Time Series Management - Supports the storage and querying of timestamped samples with built-in retention policies and range aggregation.
• Unordered Unique Collection Management - Manages collections of unique elements and performs set-theoretic operations like intersections, unions, and differences.
• Vector Search - Provides high-dimensional vector search capabilities including k-nearest neighbor and range queries.
• Pub-Sub Messaging - Implements a publish-subscribe messaging system using named channels for asynchronous client communication.
• Bitwise Logic Operations - Executes low-level bitwise logic operations including AND, OR, and XOR across stored keys.
• Database Systems - Distributed NoSQL database compatible with Redis.
• 数据库 - Distributed key-value store compatible with Redis.

Star 历史