citusdata/pg_shard
Pg Shard
Acest proiect este o extensie de bază de date care permite scalarea orizontală și partiționarea distribuită a datelor pe mai multe noduri PostgreSQL. Funcționează ca o soluție middleware care distribuie tabelele mari de baze de date într-un cluster pentru a crește capacitatea totală de stocare și a îmbunătăți performanța de scriere pentru seturile de date în creștere.
Sistemul folosește partiționarea bazată pe hash pentru a distribui înregistrările tabelelor pe noduri fizice și utilizează un catalog central de metadate pentru a urmări locațiile shard-urilor. Oferă rutare transparentă a interogărilor, care direcționează comenzile SQL standard de la un nod coordonator către nodurile lucrătoare (worker nodes) corespunzătoare, fără a necesita modificări ale logicii aplicației existente.
Framework-ul include instrumente pentru menținerea redundanței datelor și a integrității clusterului prin replicarea shard-urilor și procese automatizate de reparare a consistenței. De asemenea, suportă ingestia de date cu throughput ridicat, utilizând procesarea concurentă pentru a importa seturi de date masive în tabele distribuite.
Features
- PostgreSQL Sharding Extensions - Enables horizontal scaling and distributed data partitioning across multiple PostgreSQL nodes for improved write performance.
- Coordinator-Worker Topologies - Directs incoming SQL commands from a central entry point to the appropriate backend nodes based on metadata.
- Database Middleware - Routes SQL queries to appropriate worker nodes to provide transparent horizontal scaling for existing database applications.
- Database Sharding - Partitions data across a cluster of servers to manage massive workloads that exceed the capacity of a single machine.
- Query Routing - Automatically routes standard database commands from a central node to the appropriate worker nodes without requiring modifications to existing application logic.
- Horizontal Database Scaling - Distributes large database tables across multiple nodes to increase storage capacity and improve write performance for growing datasets.
- Horizontal Table Partitionings - Distributes table records across multiple nodes using hash partitioning to achieve horizontal scaling and expand total storage capacity.
- Hash-Based Data Distribution - Distributes table rows across multiple physical nodes by applying a mathematical function to a specific column value.
- Bulk Data Ingestion - Supports high-throughput ingestion of massive datasets into distributed tables using concurrent processes to maximize write performance.
- Cross-Shard Data Replication - Maintains multiple copies of table shards across different worker nodes to ensure data redundancy and high availability during node outages.
- Database Sharding Solutions - Provides a solution for managing shard replicas and data redundancy to ensure high availability and consistency across a distributed database cluster.
- Distributed Sharding Architectures - Maintains multiple copies of data segments across different physical servers to ensure high availability and fault tolerance.
- External File Imports - Enables importing large datasets from external files into distributed tables using parallel processing to achieve high write throughput.
- Horizontal Scaling - Distributes large database tables across a cluster of nodes to increase total storage capacity and throughput.
- Parallelized Ingestion - Loads massive volumes of information into a database cluster using concurrent processes to maximize throughput and reduce import times.
- Asynchronous Replica Synchronizations - Synchronizes data from healthy shard replicas to inconsistent locations to maintain cluster integrity after system errors or hardware failures.
- High Availability Clusters - Maintains redundant copies of data across multiple nodes to ensure continuous service and prevent data loss during hardware failures.
- Metadata-Driven Cluster Managements - Tracks the physical location of data shards using a central catalog to coordinate operations across the distributed system.
- Consistency Repairs - Synchronizes data from healthy shard replicas to inconsistent locations to maintain cluster integrity and ensure data accuracy.
