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spacejam avatar

spacejam/sled

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8,928 estrellas·417 forks·Rust·apache-2.0·9 vistas

Sled

Sled is an embedded key-value store and ACID-compliant database designed for high-performance data persistence. It functions as a log-structured storage engine that organizes data using B+ trees to support efficient range queries and prefix scans.

The engine implements a zero-copy data store model, utilizing epoch-based reclamation to provide direct references to cached values without memory allocations. It distinguishes itself through a combination of write-ahead logging, page cache optimizations to reduce write amplification on flash storage, and serializable transactions for atomic multi-key updates.

The library covers a broad range of capabilities, including crash recovery through checkpointing, disk storage defragmentation, and binary stream replication. It also provides reactive data observation via key-prefix event subscriptions and supports custom merge logic for atomic value transformations.

Features

  • Key-Value - Functions as a high-performance embedded key-value store supporting atomic updates and conditional modifications.
  • ACID Transactional Cores - Provides an ACID-compliant core for atomic and isolated multi-key transaction processing.
  • Database Atomic Batches - Groups multiple database mutations into a single atomic operation to ensure consistency.
  • Write Persistence Guarantees - Guarantees data persistence by flushing dirty IO buffers to disk synchronously or asynchronously.
  • Zero-Copy Memory Mappings - Provides direct references to cached values using epoch-based reclamation to eliminate memory allocations during reads.
  • High-Performance Persistence Layers - Writes structured binary data to stable storage with specific optimizations for flash memory and crash recovery.
  • Key-Value Stores - Provides a high-performance, disk-backed embedded key-value store for byte arrays.
  • B-Tree - Implements a B+ Tree indexing structure to enable efficient range-based scans and fast key lookups.
  • Log-Structured Merge-Trees - Utilizes a log-structured merge-tree architecture to optimize write throughput and read performance.
  • Cursor-based Iterators - Implements cursor-based iterators for memory-efficient record-by-record processing of the database.
  • Strict Serializability - Ensures serializable transaction isolation for atomic multi-key updates across different data trees.
  • Strict Serializability - Ensures absolute consistency through serializable transactions across multiple data trees.
  • Log State Recovery - Reconstructs database state by applying log segments to snapshots for reliable crash recovery.
  • Write-Ahead Logging - Uses write-ahead logging to record every mutation to a persistent log for guaranteed crash recovery.
  • Log-Structured Storage Engines - Implements a log-structured storage engine using write-ahead logging and page caches for high write throughput.
  • Zero-Copy Data Access - Provides zero-copy data access by returning direct references to cached values using epoch-based reclamation.
  • Database Page Caching - Implements database page caching to store data fragments in memory and reduce write amplification on flash storage.
  • Storage Key Observation - Monitors specific key prefixes to trigger reactive events when records are updated.
  • Conditional Updates - Allows modifying or deleting a value only if the current value matches a specific expected state.
  • Keyspace Isolation - Supports creating and removing disk-backed trees to isolate different keyspaces within a single database.
  • Epoch-Based Reclamation - Uses epoch-based reclamation to provide zero-copy reads without immediate memory allocations.
  • Data Replication - Implements binary stream replication to synchronize data and tree updates across distributed nodes.
  • Atomic Key-Value Operations - Supports atomic key-value operations that execute read-modify-write cycles as single, indivisible units.
  • Disk Defragmentation - Reclaims disk space and reduces fragmentation by moving live pages from underutilized segments.
  • Change Notifications - Provides reactive data observation via key-prefix event subscriptions to trigger actions when records are updated.
  • Key Deletion - Provides capabilities for removing values from the database by their unique keys.
  • Custom Value Merging - Provides a custom merge operator to execute read-modify-write logic directly during the write process.
  • Record Compression - Reduces the storage footprint of the database by applying high-efficiency compression to stored records.
  • Storage Space Optimization - Implements disk defragmentation and page cache optimizations to reduce write amplification on flash storage.
  • Bases de datos - Embedded database with lock-free concurrency.

Historial de estrellas

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Ver las 30 alternativas a Sled→

Preguntas frecuentes

¿Qué hace spacejam/sled?

Sled is an embedded key-value store and ACID-compliant database designed for high-performance data persistence. It functions as a log-structured storage engine that organizes data using B+ trees to support efficient range queries and prefix scans.

¿Cuáles son las características principales de spacejam/sled?

Las características principales de spacejam/sled son: Key-Value, ACID Transactional Cores, Database Atomic Batches, Write Persistence Guarantees, Zero-Copy Memory Mappings, High-Performance Persistence Layers, Key-Value Stores, B-Tree.

¿Qué alternativas de código abierto existen para spacejam/sled?

Las alternativas de código abierto para spacejam/sled incluyen: apple/foundationdb — FoundationDB is an ACID-compliant distributed transactional key-value store. It functions as a scalable database… dgraph-io/badger — Badger is an embeddable key-value store written in Go that provides persistent data storage for byte keys and values.… google/leveldb — LevelDB is an embedded database library and persistent storage engine that provides a sorted key-value store. It uses… boltdb/bolt — Bolt is a single-file embedded key-value store for Go applications. It is an ACID transactional database that… redis/go-redis — This project is a feature-rich Go client library designed for interacting with Redis. It serves as a comprehensive… rosedblabs/rosedb — RoseDB is a persistent key-value database and log-structured storage engine. It functions as a lightweight storage…