Data Connect: All About Schemas
Blog post from Firebase
Firebase Data Connect, now renamed SQL Connect, uses GraphQL schemas to model structured, persistent application data, with the movie review app illustrating how types, tables, columns, and directives define database structure. Schemas use the `@table` directive to create tables and optionally customize table names, singular and plural operation names, and key fields, while field definitions specify supported data types, required values, database column details, default expressions, and indexes. Defaults reduce configuration needs by automatically naming columns and keys, while directives such as `@col`, `@default`, and `@index` allow developers to customize SQL column types, generate values such as UUIDs or request timestamps, and improve query performance through single-field or composite indexes. SQL Connect also creates key scalars from schema key fields to support record identification and relational operations, provides server-computed values for fields generated at creation time, and supports one-to-one, one-to-many, and many-to-many table relationships for relational data modeling.
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