convex-schema-validator

To define and validate a Convex database schema in TypeScript, you use the schema definition language to specify tables, fields, and types. This ensures data integrity by validating strings, numbers, booleans, and optional fields before data is saved.

Yes, you can configure search indexes and compound indexes in Convex. The schema validator supports defining single-field, compound, and search indexes to optimize query performance and enable efficient data searching across your tables.

The best way to handle schema migrations in a Convex backend is to follow outlined best practices for evolving schemas over time. This includes strategically adding new fields and backfilling existing data to maintain consistency without breaking queries.

Yes, Convex schema validation supports discriminated unions and record types. These advanced features allow you to define complex data structures within your tables, ensuring robust type safety and accurate data management for intricate application logic.

Convex database queries run slowly when scanning entire tables without targeted indexes. Defining single-field, compound, or search indexes optimizes query performance by allowing the database to quickly locate and retrieve matching records.

To set up a new table with optional fields in a Convex schema, you define the table structure using the schema definition language and explicitly mark fields as optional. This enforces type validation for required data while allowing flexibility for missing properties.