Data modeling best practices in MariaDB help design scalable, consistent, and performant schemas using proper keys, normalization, and indexing.
Start with clear business entities, keep tables single-purpose, and enforce relationships with primary and foreign keys. Normalize until query speed suffers, then selectively denormalize. Always prefer integer surrogate keys for joins and indexing efficiency.
Surrogate keys (INT AUTO_INCREMENT) stay small and immutable, avoid data leakage, and simplify future schema changes.Natural keys often grow, change, or become multi-column, leading to larger indexes and slower joins.
FOREIGN KEY constraints guarantee that child rows reference existing parent rows. They prevent orphaned data and enable cascading updates/deletes, reducing manual cleanup logic in application code.
Add composite indexes when queries filter or sort on multiple columns in the same order. Place the most selective column first.Avoid redundant indexes that duplicate a left-most prefix of another index.
Use snake_case for identifiers, singular table names, and suffix keys with _id. Prefix junction tables with both entity names (e.g., orders_products). Keep names under 63 characters to fit MariaDB limits.
Design with future growth in mind: store timestamps in UTC, use ENUM cautiously, and separate large text/blob fields into side tables.Version schemas with migration scripts and include backward-compatible views when possible.
The following DDL illustrates best practices such as surrogate keys, proper data types, indexes, and constraints.
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Normalize to 3NF to remove redundancy, then denormalize selectively for read performance. Use materialized views or summary tables when aggregation costs rise.
INT UNSIGNED supports up to ~4.3B rows. Choose BIGINT if you expect to exceed this limit. Smaller keys mean faster indexes, so avoid BIGINT prematurely.
Yes. Add ON DELETE CASCADE to FOREIGN KEY definitions to automatically remove child rows when a parent is deleted. Use with caution to avoid accidental data loss.