rosedblabs/rosedb
Rosedb
RoseDB ist eine persistente Key-Value-Datenbank und eine log-strukturierte Storage-Engine. Sie fungiert als leichtgewichtiges Speichersystem, das eine log-strukturierte Hash-Tabelle und eine Bitcask-Implementierung nutzt, um schnelle Datenabrufe und eine festplattenbasierte Persistenz zu gewährleisten.
Das System arbeitet als atomare Transaktions-Engine, die mehrere Lese- und Schreiboperationen zu einzelnen Einheiten gruppiert, um die Datenkonsistenz zu wahren. Es verarbeitet Daten über ein Key-Value-Modell, das einzelne Einfügungen, Suchvorgänge und Löschungen unterstützt.
Die Datenbank bietet Funktionen für die Batch-Datenverarbeitung und atomare Updates. Darüber hinaus enthält das Projekt Features für versioniertes Content-Management und mehrsprachige Inhaltsübersetzung.
Features
- Key-Value Persistence Stores - Implements a persistent key-value store with disk-backed persistence for saving and retrieving information.
- Log-Structured Storage Engines - Functions as a log-structured storage engine that appends writes sequentially for high performance and crash recovery.
- Append-Only Storage - Implements a storage system that writes all updates sequentially to the end of a file to avoid random disk seeks.
- Database Atomic Batches - Combines multiple database mutations into a single atomic operation to ensure consistency during bulk updates.
- Atomic Batch Commits - Ensures data consistency by grouping multiple database mutations into a single atomic commit unit.
- Atomic Transaction Execution - Groups multiple read and write operations into atomic transactions to maintain strict data consistency.
- Transactional Updates - Ensures data consistency by wrapping multiple write operations into atomic transactional units.
- Atomic Transactions - Functions as an engine that executes multiple data manipulation operations as a single atomic unit.
- Key-Value Stores - Provides a lightweight key-value model for persisting application state with fast lookups.
- Bitcask Implementations - Implements a lightweight storage layer based on the Bitcask engine for high-performance writes and persistence.
- Key-Value - Utilizes a key-value storage model to enable fast data retrieval and individual record deletions.
- Embedded Key-Value Stores - Provides an embedded key-value store using a log-structured hash table for fast persistence.
- Offset Indexes - Maintains an in-memory map of keys to byte offsets for constant-time data retrieval from the log.
- Batch Data Operations - Supports performing bulk modifications or deletions on multiple records simultaneously to improve throughput.
- Batch Data Processing - Optimizes performance by combining large volumes of read and write actions into single units.
- Log Compaction - Periodically rebuilds logs to remove duplicate keys and reclaim unused disk space.
- Database Systems - Listed in the “Database Systems” section of the Awesome Go awesome list.
