tikv/tikv
Tikv
TiKV is a distributed transactional key-value store designed for horizontal scalability and high availability. It functions as a storage engine that maintains massive datasets across a cluster of physical nodes, ensuring that information remains accessible and consistent even when individual hardware components fail.
The system utilizes a consensus-based replication model to synchronize data across nodes, ensuring that all replicas agree on the order of operations. It manages data distribution through a sharding mechanism that partitions large datasets into smaller groups, each governed by independent consensus instances. To handle concurrent access, the engine employs multi-version concurrency control, allowing for consistent reads without blocking ongoing write operations.
The architecture supports complex distributed transactions by coordinating multi-stage voting processes to ensure that all participating nodes either commit or abort changes together. It maintains data integrity through a storage engine that organizes information into sorted files on disk to optimize performance. The cluster maintains a consistent view of its state and topology through peer-to-peer communication and centralized orchestration.
Features
- Distributed Key-Value Stores - Provides a horizontally scalable database engine that offers transactional consistency and low-latency storage for large-scale distributed systems.
- Distributed Databases - Provides a high-availability storage architecture that manages data placement and node health to ensure reliable access across multiple physical locations.
- Key-Value - Provides horizontally scalable database storage with low-latency access to massive datasets across multiple physical server nodes.
- Storage Engines - Manages data integrity across distributed nodes by applying atomic read and write operations within a storage architecture.
- Distributed Sharding Architectures - Partitions large datasets into smaller groups managed by independent consensus instances to allow horizontal scaling across a cluster of physical nodes.
- Raft Consensus Implementations - Maintains data consistency across distributed nodes by using a consensus algorithm to ensure all replicas agree on the order of operations.
- Distributed Storage Clusters - Maintains massive datasets across a cluster of nodes to provide scalable and low-latency storage for large-scale deployments.
- Distributed Transaction Management - Ensures data consistency across distributed operations by applying transactional guarantees to complex requests so all changes succeed or fail together.
- Datenmanagement - Distributed transactional key-value database engine.
- Database Systems - Distributed transactional key-value store for TiDB.
- Databases & Data - Distributed key-value database for large-scale data.
- Rust Projects - Listed in the “Rust Projects” section of the Awesome For Beginners awesome list.
- Atomic Transaction Execution - Ensures data consistency across distributed operations by grouping multiple read and write requests into a single atomic unit.
- Transaction Management - Manages concurrent data access by keeping multiple versions of records to allow consistent reads without blocking ongoing write operations.
- High Availability Clusters - Coordinates data distribution and node health through a centralized management layer to ensure continuous service availability.
- Cluster Topology Management - Coordinates data distribution and node health across a network to maintain high availability and ensure information remains accessible.
- Cluster Membership Protocols - Disseminates node health and topology information through peer-to-peer communication to maintain a consistent view of the cluster state.
- Commit Protocols - Coordinates distributed transactions by using a multi-stage voting process to ensure all participating nodes either commit or abort changes together.
