holistics/dbml
Dbml
DBML is a domain-specific language and schema definition language used for documenting database architecture and design. It provides a human-readable text format for defining database tables, columns, and relationships in a standardized way.
The project functions as a relational schema parser and SQL schema generator. It transforms declarative design specifications into an abstract syntax tree for programmatic manipulation and converts these definitions into executable SQL statements across various database dialects.
The system covers relational data modeling, database schema design, and architecture documentation. It enables the planning of database structures and migration scripts by mapping entities and foreign key constraints before final SQL implementation.
Features
- SQL Schema Generators - Converts declarative schema definitions into executable SQL statements for multiple database dialects.
- Domain Specific Languages - Provides a specialized domain-specific language for defining database schemas and relationships in a human-readable format.
- Database Architecture Documentation - Creating a maintainable and visual representation of a database schema that serves as a source of truth for developers.
- Database Design Tools - Provides a declarative language for documenting and architecting database schemas to improve collaboration.
- Database Documentation Tools - Creates a maintainable, version-controlled source of truth for database architecture and design.
- Database Schema Designers - Enables the definition of database tables, column types, and relationships through a human-readable language.
- Declarative Schema Managers - Provides a high-level declarative language to define the desired state of database structures.
- Relational Data Modeling - Maps entities and foreign key constraints to visualize data flow and connectivity across complex systems.
- Relational Schema Parsers - Implements a parser that converts DBML definitions into an abstract syntax tree for schema manipulation.
- SQL Data Modeling - Enables the modeling of database structures and relationships using a code-first declarative approach before SQL implementation.
- Domain Specific Language Parsers - Transforms human-readable schema definitions into structured abstract syntax trees using a formal grammar.
- Template-Based Schema Generation - Produces native SQL statements by mapping abstract schema elements to specific database syntax templates.
- Schema Definition Languages - Implements a human-readable domain-specific language for defining database tables, columns, and relationships.
- Database Schema Mapping - Translates parsed definitions into a standardized format as a bridge to various database dialects.
- Architectural Migration Planning - Allows drafting of architectural changes and table definitions before generating final migration scripts.
- Abstract Syntax Tree Specifications - Maintains an internal structured representation of tables and relationships for programmatic schema manipulation.
- Intermediate Representations - Provides a unified internal data model to bridge high-level definitions and final SQL serialization.
- Recursive Dependency Resolution - Resolves complex graphs of table dependencies via recursive processing of foreign key constraints.
- Schema Relationship Resolution - Recursively processes foreign key definitions to build a complete map of table dependencies.
- Schema Grammar Parsers - Utilizes a formal set of syntax rules to convert the DSL into a structured internal representation.
- Diagramming Tools - Define database schemas using a simple, readable markup language.
- Documentation Tools - Markup language for defining and documenting database structures.
