🏷️ Tech Topics:#CreateTable#JPA_Hibernate#TypeORM#Prisma#GoGORM
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SQL DDL to Entity Model Converter Guide

In Database-First development workflows and enterprise application architecture, converting relational database schema DDL (`CREATE TABLE`) into modern ORM entity classes is a routine necessity. Frameworks like Java Spring Data JPA (Hibernate), TypeScript TypeORM & Prisma, Go GORM, and Python SQLAlchemy require precise language-native types, annotations, decorators, and key constraint mappings. Manually inspecting database schemas and translating SQL types like `VARCHAR(255)` to `String`, `BIGINT` to `Long`, or `DATETIME` to `LocalDateTime` while typing out `@Entity`, `@Table`, `@Id`, and `@Column` decorators is extremely time-consuming and error-prone. Misconfiguring primary keys or nullability flags can cause runtime object relational mapping errors. The JuicyDevs SQL DDL to Entity Converter automatically parses SQL `CREATE TABLE` scripts from MySQL, PostgreSQL, Oracle, MSSQL, and SQLite, transforming them into production-ready entity class models. It accurately maps data types, primary keys, nullability flags, and auto-increment strategies across multiple target languages. Security is paramount for internal database schemas. This tool runs 100% client-side in your browser memory via local V8 execution. Your proprietary table layouts and domain schemas are never transmitted to external servers.

✨ Key Capabilities

  • •Parse SQL data types (VARCHAR, INT, BIGINT, TIMESTAMP, JSONB) into native language types.
  • •Generates ORM annotations (@Entity, @Column, @Id, @GeneratedValue).
  • •Supports nullable/not-null column constraints and primary key detection.
  • •Customizable naming conventions for table and property names.

🚀 How to Use

  1. 1Paste your SQL CREATE TABLE script into the left editor.
  2. 2Select your target ORM framework (JPA, TypeORM, Prisma, Go GORM, SQLAlchemy).
  3. 3Copy the generated entity class into your application repository.
🔒100% Client-Side Privacy Guarantee

An AST parser tokenizes SQL DDL statements and maps relational schema types to target language primitives and ORM decorator schemas.

💡Technical Deep-Dive & Detailed FAQ Guide

3 questions & detailed answers

Q1.Which database dialects and ORM frameworks are supported?

All major relational database dialects are supported: MySQL, PostgreSQL, Oracle, Microsoft SQL Server (MSSQL), and SQLite. Target output formats include Java JPA (Hibernate), Kotlin JPA, TypeScript TypeORM, Prisma Schema, Go Structs (GORM), and Python SQLAlchemy.

Q2.How are database-specific types like JSONB, UUID, and ENUM mapped?

Advanced SQL types are automatically mapped to native framework equivalents. For example, PostgreSQL `UUID` columns map to Java `java.util.UUID` or TypeScript `string`, while `JSONB` columns map to custom JSON object types or string payload fields with appropriate ORM annotations.

Q3.Is my enterprise database schema layout private?

Yes, 100% private. All DDL parsing and code generation algorithms execute locally inside your web browser. No schema text or entity definitions are ever transmitted across network connections.