Lib.rs

DarkBird is a document-oriented, real-time, in-memory database solution optimized for fast document retrieval.

Features

• Database level: darkbird was storage, but from ( vsn 5.0.3 ) is full-featured database because provide Schema for building database and all operation do with database layer
• Persistent: Uses a non-blocking write-ahead-logging engine for data persistence, storing data to multiple pages.
• In-memory: Data is stored in memory, with two modes (DiskCopies, RamCopies), the first persisting data to disk and reloading the data into memory after restart.
• Concurrency: Uses a high-concurrent HashMap (DashMap) and doesn't require Mutex/RwLock for thread synchronization.
• Vector: darkbird provide a vector engine for storing and searching vectors
• Indexing: Supports indexing, allowing for dynamic decision-making about which document fields to index.
• Full-text search: Supports full-text search operations since version 3.5.0.
• Materialized view: Supports materialized view
• Tagging: Each document can have multiple tags, and one tag can refer to many documents, making it great for indexing groups of documents for fast retrieval by key.
• Expiration: from vsn 6.0.0 support key expiry.
• Atomic Operation: from vsn 6.0.0 support Atomic Operation (just like redis setNx)
• Migration: The storage model is (Key, Document), and you can use migration to change the existing (Key, Document) data on disk before opening the storage.
• Backup / Restore from vsn-6.1.0 support Backup/Restore
• External database support: Copy storage data to Postgres/Cassandra/Scylla and load from it.
• Event handling: Subscribe to any channel to receive events.

Crate

darkbird = "6.2.4"

Examples

• See the complete examples here.
• This repo is Movies store service with (darkbird + actix-web) here.

Versions

• 2.0.0: Improved performance and added persistent copy of whole data to a database.
• 3.0.0: Implemented indexing, tagging, and range queries. Document model must implement tree trait from this version
• 3.5.0: Added full-text search API
• 4.0.0: Added materialized view support. Document models must implement the MaterializedView trait, and API is provided to fetch view models. Uses &str instead of &String for better performance and API compatibility. All examples are updated.
• 5.0.1: migrated from Storage to Database world with Schema builder and Database layer to do all operation also is compatible with older version
• 5.0.2: fixedbug persist indexing and changed fullText search api for a bug all examples updates
• 5.0.3: fixedbug loader
• 6.0.0: added another storage Engine for supporting: atomic operation (just like redis setNx), expiration and simpler api
• 6.0.1: Backup/Restore _ new migration component (recover self if occure error)
• 6.2.0: Vector Engine