在课程中心，我们采用了多种分片策略来确保数据的可扩展性和高效访问。以下是一些常用的分片策略：

  • 水平分片（Horizontal Sharding）：将数据按照某种规则分散到多个数据库中。例如，可以将学生信息按照所在地区进行分片。

  • 垂直分片（Vertical Sharding）：将数据按照字段进行分片，将不同的字段存储在不同的数据库中。例如，可以将学生信息中的成绩单独存储在一个数据库中。

  • 复合分片（Composite Sharding）：结合水平分片和垂直分片，将数据按照多个维度进行分片。

  • 路由策略（Routing Strategy）：根据不同的业务需求，选择合适的路由策略来决定数据存储的位置。

水平分片示例

更多关于分片策略的详细信息，您可以参考分片策略详解。

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# Sharding Strategies

In the course center, we have adopted various sharding strategies to ensure data scalability and efficient access. Here are some commonly used sharding strategies:

- **Horizontal Sharding**: Distribute data according to certain rules across multiple databases. For example, student information can be shard by region.

- **Vertical Sharding**: Shard data according to fields, storing different fields in different databases. For example, the grades in student information can be stored in a separate database.

- **Composite Sharding**: Combine horizontal and vertical sharding to shard data according to multiple dimensions.

- **Routing Strategy**: Choose an appropriate routing strategy based on different business needs to determine the storage location of data.

![Example of Horizontal Sharding](https://cloud-image.ullrai.com/q/Sharding_Horizontal/)

For more detailed information about sharding strategies, you can refer to [Sharding Strategies in Depth](/course-center/sharding_strategies_details).