reversa-data-master

To document a legacy database schema, you can reverse-engineer existing DDL, migrations, or ORM models to generate a complete data dictionary, relationship mappings, and a Mermaid ERD. This process captures tables, columns, keys, indexes, and constraints into structured markdown files.

Yes, database logic extraction captures business rules expressed through triggers, stored procedures, functions, views, and check constraints. It analyzes available database inspection artifacts to document these audit-ready business rules alongside the structural schema.

Mapping table relationships for migration is best achieved by reverse-engineering DDL or ORM models to document cardinalities, join tables, and polymorphic patterns. This generates detailed relationship documentation and partial ERDs per domain for large databases.

You can generate Mermaid ERDs from DDL or ORM models by performing schema reverse engineering. This process analyzes available schema definitions to produce a complete entity-relationship diagram, dividing into partial ERDs per domain when handling large databases.

Yes, schema reverse engineering works without direct database access by analyzing available DDL scripts, migration files, or ORM model definitions. It uses these static inspection artifacts to extract table structures, keys, indexes, and relationship mappings.

Reverse-engineering from DDL and migrations is limited by the completeness of the available artifacts. It requires full coverage of DDL, migration files, or ORM models to accurately extract constraints, triggers, and relationship mappings without missing database-level business rules.