talent-plan/tinykv
Tinykv
TinyKV este un magazin distribuit de tip cheie-valoare conceput pentru stocarea și preluarea datelor pe mai multe noduri cu disponibilitate ridicată. Acesta funcționează ca un sistem de baze de date distribuit care încorporează un motor de stocare cheie-valoare dedicat pentru persistența și preluarea datelor brute pe noduri individuale.
Proiectul include un motor de consens Raft pentru a asigura consistența datelor și toleranța la erori într-un cluster de servere. Dispune, de asemenea, de un manager de tranzacții distribuit care coordonează commit-urile atomice și controlul concurenței pentru a menține integritatea datelor pe shard-uri.
Sistemul acoperă gestionarea apartenenței la cluster, inclusiv alegerile de leadership și sharding-ul datelor pentru a echilibra sarcinile. Implementează gestionarea tranzacțiilor distribuite și un motor de consens bazat pe replicare pentru a menține stabilitatea stării.
Features
- Distributed Key-Value Stores - Provides a distributed key-value store for high-availability data storage and retrieval across multiple nodes.
- Consensus Engines - Features a dedicated consensus engine to maintain fault tolerance and state consistency across the cluster.
- Distributed Atomic Transactions - Coordinates distributed atomic transactions to ensure data integrity across multiple database shards.
- Storage Engines - Incorporates a low-level storage engine for raw data persistence and retrieval on individual nodes.
- Standalone Servers - Provides a standalone key-value store with a dedicated storage engine and request handlers.
- Log-Structured Merge-Trees - Uses a Log-Structured Merge-Tree storage engine to optimize write throughput via sequential disk operations.
- Raft Consensus Implementations - Implements the Raft consensus protocol to ensure consistent state replication and leader election.
- Distributed Transaction Coordinators - Ships a distributed transaction manager to coordinate atomic commits and concurrency control.
- Distributed Transaction Management - Implements distributed transaction management using concurrency control and atomic commit protocols.
- Cluster Range Partitioning - Organizes the keyspace into contiguous ranges assigned across nodes to balance data loads.
- Cluster Load Balancing - Balances load and maintains stability by redistributing data shards and managing leader elections.
- Dynamic Cluster Membership Management - Manages dynamic cluster membership including leadership changes and data sharding.
- Optimistic Concurrency Control - Employs optimistic concurrency control to manage parallel transactions and verify conflicts during commit.
- Node Failure Detection - Implements heartbeat-based monitoring to detect node failures and trigger leader elections.
- Two-Phase Commit Protocols - Provides a two-phase commit protocol to guarantee atomic transactions across distributed shards.
