What are the use cases for shardingjdbc?

Sharding-JDBC is a lightweight Java framework based on JDBC that offers features such as sharding, read-write splitting, and distributed transactions, suitable for scenarios such as:

1. Database sharding: When a single database can no longer meet performance requirements due to excessive data volume, Sharding-JDBC can be used to shard data and store it across multiple databases, enhancing the system’s read and write performance.
2. Read-write separation: When a system needs to handle a large number of read requests, Sharding-JDBC can be used for read-write separation, distributing read requests to multiple slave databases to reduce the pressure on the primary database and improve the system’s concurrency performance.
3. Multi-tenant architecture: When a system needs to provide separate database instances for multiple tenants, Sharding-JDBC can be used to implement a multi-tenant architecture, storing data of different tenants in different databases through sharding strategies.
4. Elastic scaling: With Sharding-JDBC, it is easy to expand or reduce database nodes in response to increasing or decreasing system loads, enhancing system scalability and fault tolerance.
5. Distributed transactions: In situations where data consistency needs to be ensured in a distributed environment, Sharding-JDBC can be used for managing distributed transactions, ensuring the atomicity of multiple database operations through the XA protocol.

In conclusion, Sharding-JDBC is suitable for applications that require database sharding, read-write separation, multi-tenant architecture, elastic scalability, and distributed transaction processing.