Visual ERD Diagram Maker with SQL DDL Export Online
How to design database ER diagrams with crow's foot notation and export clean SQL DDL CREATE TABLE migration scripts.
TLDR
Hand-writing SQL CREATE TABLE scripts or drawing static ERD wireframes in general vector tools leads to syntax errors and documentation drift. GINEXYS Schema Editor ERD mode provides entity table nodes, column attribute editors (PK, FK, data types), crow's foot relationship connectors, and one-click export to executable SQL DDL migration scripts and Mermaid ER syntax (.mmd).
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Designing Entities and Attribute Constraints
In ERD mode, table nodes allow you to specify entity names and add columns with explicit data types and constraint flags:
// ERD Table Entity Definition Structure
const userEntity = {
type: 'ERD_TABLE',
name: 'users',
columns: [
{ name: 'id', dataType: 'UUID', isPk: true, isNullable: false },
{ name: 'email', dataType: 'VARCHAR(255)', isUnique: true, isNullable: false },
{ name: 'created_at', dataType: 'TIMESTAMP', isNullable: false }
]
};
Rule of thumb: declare data types and constraint flags directly in the visual ERD entity inspector to ensure valid SQL DDL generation.
Crow's Foot Connector Cardinality
When connecting entities, Schema Editor renders standard crow's foot cardinality markers:
- One to One (1:1): Single stroke markers on both ends.
- One to Many (1:N): Single stroke to three-prong crow's foot.
- Zero or One (0..1): Ring to stroke marker.
- Zero or Many (0..N): Ring to three-prong crow's foot.
Generating Production-Ready SQL DDL
Clicking Export SQL DDL parses the entity graph and outputs formatted SQL migration scripts:
-- Generated SQL DDL from Schema Editor ERD Mode
CREATE TABLE users (
id UUID PRIMARY KEY,
email VARCHAR(255) NOT NULL UNIQUE,
created_at TIMESTAMP NOT NULL
);
CREATE TABLE orders ( id UUID PRIMARY KEY, user_id UUID NOT NULL REFERENCES users(id) ON DELETE CASCADE, total_amount NUMERIC(10, 2) NOT NULL );
Conclusion
Compiling visual ER diagrams directly into SQL DDL scripts eliminates syntax errors and keeps database documentation perfectly aligned with codebase migrations.
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