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- What is Database Sharding? - Shard DB Explained - AWS
Database sharding splits a single dataset into partitions or shards Each shard contains unique rows of information that you can store separately across multiple computers, called nodes All shards run on separate nodes but share the original database’s schema or design
- What is Sharding in DBMS? - GeeksforGeeks
In DBMS, Sharding is a type of DataBase partitioning in which a large database is divided or partitioned into smaller data and different nodes These shards are not only smaller, but also faster and hence easily manageable
- Shard (database architecture) - Wikipedia
There is a desire to support sharding automatically, both in terms of adding code support for it, and for identifying candidates to be sharded separately Consistent hashing is a technique used in sharding to spread large loads across multiple smaller services and servers
- What is sharding and why is it important? - Stack Overflow
Sharding is a form of scaling known as horizontal scaling or scale-out, as additional nodes are brought on to share the load Horizontal scaling allows for near-limitless scalability to handle big data and intense workloads
- What is Database Sharding: What It Is and Why It Matters
Sharding provides a solution to these challenges by allowing databases to efficiently manage and distribute enormous amounts of data across multiple servers Instead of retaining a single, massive database, sharding divides the dataset into smaller, more manageable pieces, known as shards
- Sharding pattern - Azure Architecture Center | Microsoft Learn
Use the Sharding design pattern to divide a data store into a set of horizontal partitions or shards
- What is Sharding? - TechTarget
Sharding involves splitting and distributing one logical data set across multiple databases that share nothing and can be deployed across multiple servers To achieve sharding, the rows or columns of a larger database table are split into multiple smaller tables
- Apache ShardingSphere
Apache ShardingSphere 是一款分布式 SQL 事务和查询引擎，可通过数据分片、弹性伸缩、加密等能力对任意数据库进行增强。 ShardingSphere 提供数据分片功能，可水平、垂直跨数据源分发数据，从而提升数据库集群性能和可扩展性。 基于对 SQL 语义理解及对底层数据库拓扑感知能力，ShardingSphere 提供灵活的读写流量拆分和读流量负载均衡。 利用 Apache ShardingSphere 解决数据库性能瓶颈，提升效率，实现数据库高性能。 并在第38届 IEEE 数据工程国际会议（ ICDE 2022） 上展示了这一突破性成果。
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