Design Drizzle ORM schemas with table definitions, columns, indexes, and relation setup.
Drizzle Schema Editor provides one place to map database tables into the constructs used by a Drizzle TypeScript schema. A design can include table declarations, columns, index definitions, and links between tables. It is useful for checking a schema's shape before carrying it into application code. The main trap is treating a Drizzle relation as proof of a database foreign key. Relations describe how records are queried together, while database constraints must be declared separately when enforcement is required.
Each table is a separate declaration with its own column set. Column names and types determine the modeled row shape, while index entries identify one column or an ordered group of columns on that table. Review both TypeScript-facing identifiers and stored SQL names when the editor presents them separately, since they serve different naming contexts.
Relation setup connects associated records across tables, such as one user having many posts. The mapping depends on corresponding source and target columns, commonly a primary key and a referencing column. Keep that mapping separate from an SQL foreign-key constraint: a Drizzle relation supports relational queries, while a foreign key gives the database an integrity rule to enforce.
Not necessarily. Drizzle relations and SQL foreign keys are separate concepts and can be used independently. Relations supply information for relational queries. Foreign keys constrain stored data. If database-level enforcement matters, verify that the schema contains an explicit reference or foreign-key declaration instead of treating the relation setup as evidence of one.
No. A schema definition describes the intended structure; changing an existing database requires the appropriate Drizzle migration or schema-push workflow. Review the resulting SQL before applying it, especially when adding required columns, unique constraints, or references to populated tables. Existing data can make an otherwise valid structural change fail.
The behavioral notes were checked against the browser implementation. Standards and primary references below define the relevant format, formula, or platform behavior.
Format, validate, and beautify JSON with syntax highlighting and error detection.
Encode text or files to Base64 and decode Base64 strings back to their original form.
Format and indent SQL queries for better readability across all major dialects.
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Visualize unified diffs and patch files with color-coded additions and deletions.