boltdb/boltArchived
Bolt
Bolt is a single-file embedded key-value store for Go applications. It is an ACID transactional database that organizes data in B+trees on disk to provide efficient sorted key retrieval and range scans. The system uses a memory-mapped model to map the database file directly into the process address space for fast random-access reads.
The project distinguishes itself through a multi-version concurrency control architecture that allows multiple simultaneous readers to access a consistent snapshot of data without blocking a writer. It employs a single-writer multi-reader locking model and uses advisory filesystem locking to prevent multiple processes from opening the same database file simultaneously.
The database provides hierarchical data organization through nested buckets and supports unique identifier generation for records. It includes capabilities for hot backups, batch write updates to reduce disk commit overhead, and cursor-based key seeking and iteration.
Operational telemetry is available via internal database performance metrics to track system activity.
Features
- Key-Value Stores - Implements a high-performance, file-based key-value store embedded directly within Go applications.
- Key-Value - Provides a persistent key-value store for Go applications using a B+tree for ordered data storage.
- ACID Transactional Cores - Ensures data consistency through ACID-compliant read-only and read-write transactions.
- Atomic Commit Logs - Implements an atomic commit log to ensure data integrity and recovery of the last consistent state after crashes.
- Memory-Mapped File Access - Maps the database file directly into the process address space for fast random-access reads without system calls.
- Database Transaction Management - Maintains data consistency across multiple simultaneous clients using thread-safe read and write operations.
- Disk Synchronization - Writes modified memory data to physical storage to ensure durability and prevent data loss during crashes.
- Sorted Indexing - Uses B+tree structures to maintain ordered data, enabling efficient range queries and sorted key retrieval.
- Memory-Mapped Storage - Maps the database file directly into the process address space for fast random-access reads.
- Multi-Version Concurrency Control - Provides a consistent snapshot of data to readers without blocking writers using multi-version concurrency control.
- Multi-Version Concurrency Control - Uses lock-free multi-version concurrency control to allow simultaneous readers without blocking a writer.
- Single-Writer Multi-Reader Locking - Ensures data consistency by allowing multiple simultaneous read-only transactions while permitting only one active writer.
- B-Tree - Uses B+Tree structures to organize data on disk for efficient sorted key retrieval and range scans.
- Transaction Managers - Provides atomic read and write operations to maintain data consistency and integrity within the local store.
- Write Throughput Optimizations - Combines multiple write operations into single transactions to increase throughput and reduce disk commit overhead.
- Data-Block Management - Reclaims unused data pages and organizes storage blocks to optimize the allocation of new data.
- Database Backups - Writes consistent snapshots of the database to a file without blocking concurrent reads and writes.
- Page-Based Storage - Tracks and reuses fixed-size pages of disk space to optimize allocation and reduce file fragmentation.
- Key Seeking - Provides the ability to move a cursor to a specific key or the nearest succeeding key.
- Key-Value Store Iterators - Traverses keys in byte-sorted order using a cursor for sequential, prefix-based, or range-based scans.
- Nested Bucket Hierarchies - Organizes key-value pairs into a tree of nested buckets to provide logical namespaces and data isolation.
- Nested Data Buckets - Allows organizing data collections into a hierarchy by placing buckets inside other buckets to group related information.
- Persistent Application State - Ensures application state is persisted to disk to survive process restarts and system crashes.
- Single-Node Databases - Operates as a self-contained database instance that persists all data to a single local file.
- Bases de datos - Low-level embeddable key-value database.
- Databases and Storage - Embedded key/value database.
- Databases & Data - Embedded key/value database for simple storage needs.
- Embedded Databases - Low-level key-value database for Go applications.
- Key-Value Stores - Embedded key-value database for Go applications.
