mongodb-conventions

MongoDB schema validation is enforced by configuring strict JSON schema validators that align with BSON types, preventing schema drift and brittle queries. These validators ensure consistent document modeling, typing, and data integrity across your databases.

MongoDB document modeling best practices involve strategic embed versus reference decisions, subset patterns, and denormalization. This approach balances query performance with data consistency by applying targeted conventions to collection design.

Decimal128 is required for monetary values to prevent rounding errors, while ISODate usage is enforced for temporal data in MongoDB. These BSON type conventions ensure strict typing accuracy and prevent data corruption.

MongoDB index ordering follows the ESR rule to optimize query performance. Applying this convention to collection design ensures indexes are structured correctly, improving query efficiency and reducing unnecessary overhead.

The discriminator pattern in MongoDB collection design allows you to handle polymorphic data structures within a single collection. This convention supports time-series considerations and structured document modeling.

MongoDB safety practices require configuring transaction handling, error handling, and regular backups. These risk mitigation rules protect data integrity and ensure compliance across all database operations.