Files
warkanum 58e46e5b59
Release / test (push) Successful in 4m15s
Release / release (push) Successful in 5m29s
Release / pkg-rpm (push) Successful in 2m10s
Release / pkg-deb (push) Successful in 2m27s
Release / pkg-aur (push) Successful in 5m52s
feat(dbml): support case-insensitive table note parsing
2026-09-09 22:31:00 +02:00
..

DBML Reader

Reads Database Markup Language (DBML) files and extracts database schema information.

Overview

The DBML Reader parses .dbml files that define database schemas using the DBML syntax (used by dbdiagram.io) and converts them into RelSpec's internal database model representation.

Features

  • Parses DBML syntax
  • Extracts tables, columns, and relationships
  • Supports DBML-specific features:
    • Table groups and notes
    • Enum definitions
    • Indexes
    • Foreign key relationships

Usage

Basic Example

package main

import (
    "fmt"
    "git.warky.dev/wdevs/relspecgo/pkg/readers"
    "git.warky.dev/wdevs/relspecgo/pkg/readers/dbml"
)

func main() {
    options := &readers.ReaderOptions{
        FilePath: "/path/to/schema.dbml",
    }

    reader := dbml.NewReader(options)
    db, err := reader.ReadDatabase()
    if err != nil {
        panic(err)
    }

    fmt.Printf("Found %d schemas\n", len(db.Schemas))
}

CLI Example

# Read DBML file and convert to JSON
relspec --input dbml --in-file schema.dbml --output json --out-file schema.json

# Convert DBML to GORM models
relspec --input dbml --in-file database.dbml --output gorm --out-file models.go

Example DBML File

Table users {
  id bigserial [pk, increment]
  username varchar(50) [not null, unique]
  email varchar(100) [not null]
  created_at timestamp [not null, default: `now()`]

  Note: 'Users table'
}

Table posts {
  id bigserial [pk]
  user_id bigint [not null, ref: > users.id]
  title varchar(200) [not null]
  content text

  indexes {
    user_id
    (user_id, created_at) [name: 'idx_user_posts']
  }
}

Ref: posts.user_id > users.id [delete: cascade]

DBML Features Supported

  • Table definitions with columns
  • Primary keys (pk)
  • Not null constraints (not null)
  • Unique constraints (unique)
  • Default values (default)
  • Inline references (ref)
  • Standalone Ref blocks
  • Indexes and composite indexes
  • Table notes and column notes
  • Enums
  • Dialect directives (@postgres: / @sqlite: — see below)

Dialect directives

Lines of the form @<namespace>[(<column>)]: <args> embed database-specific features that plain DBML cannot express (partitioning, WITHOUT ROWID, tablespaces, index storage parameters, …). They are stored losslessly on the relevant object's Metadata and round-trip unchanged through the DBML writer; the PostgreSQL and SQLite writers translate the ones they understand to SQL.

@postgres: search_path myapp

Table myapp.events {
  id bigint [pk]
  created_at timestamp [not null]
  @postgres(id): identity always
  @postgres: partition by RANGE (created_at)
  @sqlite: without rowid

  indexes {
    (created_at) [name: 'idx_events_created']
    @postgres: with (fillfactor=90)
  }
}
Position Attaches to
Before the first Table { database
Table body, no (target) that table
Table body, (col) target column col (error if unknown)
Inside indexes { } the most recently listed index entry

args is preserved verbatim; the key (lowercased first token) drives duplicate detection. Repeated directives are kept in order; catalog "singleton" keys error on a second occurrence at the same location. All errors are line-numbered.

ReaderOptions.StrictDirectives (CLI --strict-directives) turns an unknown namespace or key into an error instead of preserving it silently.

See docs/DBML_DIRECTIVES.md for the full grammar and the supported-directive matrix.

Notes

  • DBML is designed for database documentation and diagramming
  • Schema name defaults to public
  • Relationship cardinality is preserved