oceanbase-schema-design

To design an OceanBase database schema for high performance, you must enforce proper primary keys, include partition keys, apply partition-aware indexing, and balance normalization. This ensures scalable performance and maintainability across MySQL and Oracle modes.

Choosing partition keys for OceanBase tables requires deciding between hash, range, or list partitioning based on query patterns. You must ensure the partition key is included in the primary key and use table groups to organize related partitions for performance.

Applying leftmost prefix rules and covering indexes in OceanBase involves structuring index columns to match query filters exactly. You must also use partition-aware indexing strategies to ensure indexes align with table partitions for high-throughput queries.

Yes, OceanBase schema design works with both MySQL and Oracle modes. It provides structured best practices for defining tables, partitions, table groups, and indexes that enforce primary key and partition key requirements across both compatibility modes.

You should group OceanBase tables into table groups when you need to optimize performance for related partitioned tables. Table groups organize tables so that partitions with similar data are located together, reducing cross-node query overhead.

When creating OceanBase tables, primary key requirements mandate that every table has a proper primary key and that the partition key is included within it. You must also enforce not nulls and meaningful column comments for maintainability.