720 lines
18 KiB
Markdown
720 lines
18 KiB
Markdown
# DBML - Full Syntax Docs
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DBML (database markup language) is a simple, readable DSL language designed to define database structures. This page
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outlines the full syntax documentations of DBML.
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- [DBML - Full Syntax Docs](#dbml---full-syntax-docs)
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- [Example](#example)
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- [Project Definition](#project-definition)
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- [Schema Definition](#schema-definition)
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- [Public Schema](#public-schema)
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- [Table Definition](#table-definition)
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- [Table Alias](#table-alias)
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- [Table Notes](#table-notes)
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- [Table Settings](#table-settings)
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- [Column Definition](#column-definition)
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- [Column Settings](#column-settings)
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- [Default Value](#default-value)
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- [Constraint Definition](#constraint-definition)
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- [Constraint Settings](#constraint-settings)
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- [Index Definition](#index-definition)
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- [Index Settings](#index-settings)
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- [Relationships \& Foreign Key Definitions](#relationships--foreign-key-definitions)
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- [Relationship settings](#relationship-settings)
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- [Many-to-many relationship](#many-to-many-relationship)
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- [Enum Definition](#enum-definition)
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- [Note Definition](#note-definition)
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- [Project Notes](#project-notes)
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- [Table Notes](#table-notes-1)
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- [Column Notes](#column-notes)
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- [TableGroup Notes](#tablegroup-notes)
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- [Sticky Notes](#sticky-notes)
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- [TableGroup](#tablegroup)
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- [TableGroup Notes](#tablegroup-notes-1)
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- [TableGroup Settings](#tablegroup-settings)
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- [TablePartial](#tablepartial)
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- [Multi-line String](#multi-line-string)
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- [Comments](#comments)
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- [Syntax Consistency](#syntax-consistency)
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## Example
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```text
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Table users {
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id integer
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username varchar
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role varchar
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created_at timestamp
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}
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Table posts {
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id integer [primary key]
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title varchar
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body text [note: 'Content of the post']
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user_id integer
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created_at timestamp
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}
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Ref: posts.user_id > users.id // many-to-one
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```
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## Project Definition
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You can give overall description of the project.
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```text
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Project project_name {
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database_type: 'PostgreSQL'
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Note: 'Description of the project'
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}
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```
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## Schema Definition
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A new schema will be defined as long as it contains any table or enum.
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For example, the following code will define a new schema `core` along with a table `user` placed inside it
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```text
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Table core.user {
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...
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}
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```
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### Public Schema
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By default, any **table**, **relationship**, or **enum** definition that omits `schema_name` will be considered to belong to the `public` schema.
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## Table Definition
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```text
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// table belonged to default "public" schema
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Table table_name {
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column_name column_type [column_settings]
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}
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// table belonged to a schema
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Table schema_name.table_name {
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column_name column_type [column_settings]
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}
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```
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- (Optional) title of database schema is listed as `schema_name`. If omitted, `schema_name` will default to `public`
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- title of database table is listed as `table_name`
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- name of the column is listed as `column_name`
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- type of the data in the column listed as `column_type`
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- supports all data types, as long as it is a single word (remove all spaces in the data type). Example, JSON, JSONB, decimal(1,2), etc.
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- list is wrapped in `curly brackets {}`, for indexes, constraints and table definitions.
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- settings are wrapped in `square brackets []`
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- string value is be wrapped in a `single quote as 'string'`
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- `column_name` can be stated in just plain text, or wrapped in a `double quote as "column name"`
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:::tip
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Use [TablePartial](#tablepartial) to reuse common fields, settings and indexes across multiple tables. Inject partials into a table using the `~partial_name` syntax.
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:::
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### Table Alias
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You can alias the table, and use them in the references later on.
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```text
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Table very_long_user_table as U {
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...
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}
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Ref: U.id < posts.user_id
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```
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### Table Notes
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You can add notes to the table, and refer to them in the visual plane.
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```text
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Table users {
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id integer
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status varchar [note: 'status']
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Note: 'Stores user data'
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}
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```
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### Table Settings
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Settings are all defined within square brackets: `[setting1: value1, setting2: value2, setting3, setting4]`
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Each setting item can take in 2 forms: `Key: Value` or `keyword`, similar to that of Python function parameters.
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- `headercolor: <color_code>`: change the table header color.
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Example,
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```text
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Table users [headercolor: #3498DB] {
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id integer [primary key]
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username varchar(255) [not null, unique]
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}
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```
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## Column Definition
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### Column Settings
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Each column can take have optional settings, defined in square brackets like:
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```text
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Table buildings {
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...
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address varchar(255) [unique, not null, note: 'to include unit number']
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id integer [ pk, unique, default: 123, note: 'Number' ]
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}
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```
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The list of column settings you can use:
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- `note: 'string to add notes'`: add a metadata note to this column
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- `primary key` or `pk`: mark a column as primary key. For composite primary key, refer to the 'Indexes' section
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- `null` or `not null`: mark a column null or not null. If you ommit this setting, the column will be null by default
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- `unique`: mark the column unique
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- `default: some_value`: set a default value of the column, please refer to the 'Default Value' section below
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- `increment`: mark the column as auto-increment
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- ``constraint: `check expression` ``: add a check expression to this column. Multiple constraints can be defined on a column. For constraints involving multiple columns, refer to the 'Constraints' section
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**Note:** You can use a workaround for un-supported settings by adding the setting name into the column type name, such as `id "bigint unsigned" [pk]`
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### Default Value
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You can set default value as:
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- number value starts blank: `default: 123` or `default: 123.456`
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- string value starts with single quotes: `default: 'some string value'`
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- expression value is wrapped with backticks: ``default: `now() - interval '5 days'` ``
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- boolean (true/false/null): `default: false` or `default: null`
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Example,
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```text
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Table users {
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id integer [primary key]
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username varchar(255) [not null, unique]
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full_name varchar(255) [not null]
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gender varchar(1) [not null]
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source varchar(255) [default: 'direct']
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created_at timestamp [default: `now()`]
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rating integer [default: 10]
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}
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```
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## Constraint Definition
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Constraints allow users to specify custom checks on one or many columns. These checks can be used to enforce constraints on the possible values of one or many columns, which are otherwise impossible to express.
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```text
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Table users {
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id integer
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wealth integer
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debt integer
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constraints {
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`debt + wealth >= 0` [name: 'chk_positive_money']
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}
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}
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```
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### Constraint Settings
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- `name`: name of constraint
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## Index Definition
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Indexes allow users to quickly locate and access the data. Users can define single or multi-column indexes.
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```text
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Table bookings {
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id integer
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country varchar
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booking_date date
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created_at timestamp
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indexes {
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(id, country) [pk] // composite primary key
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created_at [name: 'created_at_index', note: 'Date']
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booking_date
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(country, booking_date) [unique]
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booking_date [type: hash]
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(`id*2`)
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(`id*3`,`getdate()`)
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(`id*3`,id)
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}
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}
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```
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There are 3 types of index definitions:
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- Index with single column (with index name): `CREATE INDEX created_at_index on users (created_at)`
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- Index with multiple columns (composite index): `CREATE INDEX on users (created_at, country)`
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- Index with an expression: `CREATE INDEX ON films ( first_name + last_name )`
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- (bonus) Composite index with expression: `CREATE INDEX ON users ( country, (lower(name)) )`
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### Index Settings
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- `type`: type of index (btree, gin, gist, hash depending on DB). For now, only type btree and hash are accepted.
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- `name`: name of index
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- `unique`: unique index
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- `pk`: primary key
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## Relationships & Foreign Key Definitions
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Relationships are used to define foreign key constraints between tables across schemas.
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```text
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Table posts {
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id integer [primary key]
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user_id integer [ref: > users.id] // many-to-one
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}
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// or this
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Table users {
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id integer [ref: < posts.user_id, ref: < reviews.user_id] // one to many
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}
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// The space after '<' is optional
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```
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There are 4 types of relationships: **one-to-one**, **one-to-many**, **many-to-one** and **many-to-many**
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- `<`: one-to-many. E.g: `users.id < posts.user_id`
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- `>`: many-to-one. E.g: `posts.user_id > users.id`
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- `-`: one-to-one. E.g: `users.id - user_infos.user_id`
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- `<>`: many-to-many. E.g: `authors.id <> books.id`
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**Zero-to-(one/many)** or **(one/many)-to-zero** relationships will be automatically detected when you combine the relationship with foreign key’s nullable constraint. Like this example:
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```text
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Table follows {
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following_user_id int [ref: > users.id] // many-to-zero
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followed_user_id int [ref: > users.id, null] // many-to-zero
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}
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Table posts {
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id int [pk]
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user_id int [ref: > users.id, not null] // many-to-one
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}
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```
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In DBML, there are 3 syntaxes to define relationships:
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```text
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// Long form
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Ref name_optional {
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schema1.table1.column1 < schema2.table2.column2
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}
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// Short form
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Ref name_optional: schema1.table1.column1 < schema2.table2.column2
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// Inline form
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Table schema2.table2 {
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id integer
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column2 integer [ref: > schema1.table1.column1]
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}
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```
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:::note
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* When defining one-to-one relationships, ensure columns are listed in the correct order:
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* With long & short form, the second column will be treated as a foreign key.
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E.g: `users.id - user_infos.user_id`, *user_infos.user_id* will be the foreign key.
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* With inline form, the column that have the `ref` definition will be treated as a foreign key.
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E.g:
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```text
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Table user_infos {
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user_id integer [ref: - users.id]
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}
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```
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*user_infos.user_id* will be the foreign key.
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* If `schema_name` prefix is omitted, it'll default to `public` schema.
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:::
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**Composite foreign keys:**
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```text
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Ref: merchant_periods.(merchant_id, country_code) > merchants.(id, country_code)
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```
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**Cross-schema relationship:**
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```text
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Table core.users {
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id integer [pk]
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}
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Table blogging.posts {
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id integer [pk]
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user_id integer [ref: > core.users.id]
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}
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// or this
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Ref: blogging.posts.user_id > core.users.id
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```
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### Relationship settings
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```text
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// short form
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Ref: products.merchant_id > merchants.id [delete: cascade, update: no action, color: #79AD51]
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// long form
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Ref {
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products.merchant_id > merchants.id [delete: cascade, update: no action, color: #79AD51]
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}
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```
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- `delete / update: cascade | restrict | set null | set default | no action`
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Define referential actions. Similar to `ON DELETE/UPDATE CASCADE/...` in SQL.
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- `color: <color_code>`: change the relationship color.
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*Relationship settings and names are not supported for inline form ref.*
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### Many-to-many relationship
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There're two ways to represent many-to-many relationship:
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- Using a single many-to-many relationship (`<>`).
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- Using 2 many-to-one relationships (`>` and `<`). For more information, please refer to [https://community.dbdiagram.io/t/tutorial-many-to-many-relationships/412](https://community.dbdiagram.io/t/tutorial-many-to-many-relationships/412)
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Beside presentation aspect, the main differece between these two approaches is how the relationship will be mapped into physical design when exporting to SQL.
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## Enum Definition
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`Enum` allows users to define different values of a particular column.
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When hovering over the column in the canvas, the enum values will be displayed.
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```text
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// enum belonged to default "public" schema
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enum job_status {
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created [note: 'Waiting to be processed']
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running
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done
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failure
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}
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// enum belonged to a schema
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enum v2.job_status {
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...
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}
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Table jobs {
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id integer
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status job_status
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status_v2 v2.job_status
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}
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```
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**Note:** if `schema_name` prefix is omitted, it'll default to `public` schema
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If your enum values contain spaces or other special characters you can use double quotes.
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```text
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enum grade {
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"A+"
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"A"
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"A-"
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"Not Yet Set"
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}
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```
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## Note Definition
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Note allows users to give description for a particular DBML element.
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```text
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Table users {
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id int [pk]
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name varchar
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Note: 'This is a note of this table'
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// or
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Note {
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'This is a note of this table'
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}
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}
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```
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Note's value is a string. If your note spans over multiple lines, you can use [multi-line string](#multi-line-string) to define your note.
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### Project Notes
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```text
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Project DBML {
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Note: '''
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# DBML - Database Markup Language
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DBML (database markup language) is a simple, readable DSL language designed to define database structures.
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## Benefits
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* It is simple, flexible and highly human-readable
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* It is database agnostic, focusing on the essential database structure definition without worrying about the detailed syntaxes of each database
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* Comes with a free, simple database visualiser at [dbdiagram.io](http://dbdiagram.io)
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'''
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}
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```
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### Table Notes
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```text
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Table users {
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id int [pk]
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name varchar
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Note: 'Stores user data'
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}
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```
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### Column Notes
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You can add notes to your columns, so you can easily refer to it when hovering over the column in the diagram canvas.
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```text
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column_name column_type [note: 'replace text here']
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```
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Example,
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```text
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Table orders {
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status varchar [
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note: '''
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💸 1 = processing,
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✔️ 2 = shipped,
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❌ 3 = cancelled,
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😔 4 = refunded
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''']
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}
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```
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### TableGroup Notes
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```text
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TableGroup e_commerce [note: 'Contains tables that are related to e-commerce system'] {
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merchants
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countries
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// or
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Note: 'Contains tables that are related to e-commerce system'
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}
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```
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## Sticky Notes
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You can add sticky notes to the diagram canvas to serve as a quick reminder or to elaborate on a complex idea.
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Example,
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```text
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Table jobs {
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...
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}
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Note single_line_note {
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'This is a single line note'
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}
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Note multiple_lines_note {
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'''
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This is a multiple lines note
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This string can spans over multiple lines.
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'''
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}
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```
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## TableGroup
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`TableGroup` allows users to group the related or associated tables together.
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```text
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TableGroup tablegroup_name { // tablegroup is case-insensitive.
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table1
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table2
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table3
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}
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// example
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TableGroup e_commerce1 {
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merchants
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countries
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}
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```
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### TableGroup Notes
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Table groupings can be annotated with notes that describe their meaning and purpose.
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```text
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TableGroup e_commerce [note: 'Contains tables that are related to e-commerce system'] {
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merchants
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countries
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// or
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Note: 'Contains tables that are related to e-commerce system'
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}
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```
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### TableGroup Settings
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Each table group can take optional settings, defined within square brackets: `[setting1: value1, setting2: value2, setting3, setting4]`
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The list of table group settings you can use:
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- `note: 'string to add notes'`: add a note to this table group.
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- `color: <color_code>`: change the table group color.
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Example,
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```text
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TableGroup e_commerce [color: #345] {
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merchants
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countries
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}
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```
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## TablePartial
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`TablePartial` allows you to define reusable sets of fields, settings, and indexes. You can then inject these partials into multiple table definitions to promote consistency and reduce repetition.
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**Syntax**
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To define a table partial:
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```text
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TablePartial partial_name [table_settings] {
|
||
field_name field_type [field_settings]
|
||
indexes {
|
||
(column_name) [index_settings]
|
||
}
|
||
}
|
||
```
|
||
|
||
To use a table partial, you can reference (also called injection) it in the table definition using the `~` prefix:
|
||
|
||
```text
|
||
Table table_name {
|
||
~partial_name
|
||
field_name field_type
|
||
~another_partial
|
||
}
|
||
```
|
||
|
||
**Example**
|
||
|
||
```text
|
||
TablePartial base_template [headerColor: #ff0000] {
|
||
id int [pk, not null]
|
||
created_at timestamp [default: `now()`]
|
||
updated_at timestamp [default: `now()`]
|
||
}
|
||
|
||
TablePartial soft_delete_template {
|
||
delete_status boolean [not null]
|
||
deleted_at timestamp [default: `now()`]
|
||
}
|
||
|
||
TablePartial email_index {
|
||
email varchar [unique]
|
||
|
||
indexes {
|
||
email [unique]
|
||
}
|
||
}
|
||
|
||
Table users {
|
||
~base_template
|
||
~email_index
|
||
name varchar
|
||
~soft_delete_template
|
||
}
|
||
```
|
||
|
||
Final result:
|
||
|
||
```text
|
||
Table users [headerColor: #ff0000] {
|
||
id int [pk, not null]
|
||
created_at timestamp [default: `now()`]
|
||
updated_at timestamp [default: `now()`]
|
||
email varchar [unique]
|
||
name varchar
|
||
delete_status boolean [not null]
|
||
deleted_at timestamp [default: `now()`]
|
||
|
||
indexes {
|
||
email [unique]
|
||
}
|
||
}
|
||
```
|
||
|
||
**Conflict Resolution**
|
||
|
||
When multiple partials define the same field, setting or index, DBML resolves conflicts based on the following priority:
|
||
|
||
1. Local Table Definition: Fields, settings and indexes defined directly in the table override those from partials.
|
||
2. Last Injected Partial: If a conflict exists between partials, the definition from the last-injected partial (in source order) takes precedence.
|
||
|
||
## Multi-line String
|
||
|
||
Multiline string will be defined between triple single quote `'''`
|
||
|
||
```text
|
||
Note: '''
|
||
This is a block string
|
||
This string can spans over multiple lines.
|
||
'''
|
||
```
|
||
|
||
- Line breaks: \<enter\> key
|
||
- Line continuation: `\` backslash
|
||
- Escaping characters:
|
||
- `\`: using double backslash `\\`
|
||
- `'`: using `\'`
|
||
- The number of spaces you use to indent a block string will be the minimum number of leading spaces among all lines. The parser will automatically remove the number of indentation spaces in the final output. The result of the above example will be:
|
||
|
||
```text
|
||
This is a block string
|
||
This string can spans over multiple lines.
|
||
```
|
||
|
||
## Comments
|
||
|
||
**Single-line Comments**
|
||
|
||
You can comment in your code using `//`, so it is easier for you to review the code later.
|
||
|
||
Example,
|
||
|
||
```text
|
||
// order_items refer to items from that order
|
||
```
|
||
|
||
**Multi-line Comments**
|
||
|
||
You can also put comment spanning multiple lines in your code by putting inside `/*` and `*/`.
|
||
|
||
Example,
|
||
|
||
```text
|
||
/*
|
||
This is a
|
||
Multi-lines
|
||
comment
|
||
*/
|
||
```
|
||
|
||
## Syntax Consistency
|
||
|
||
DBML is the standard language for database and the syntax is consistent to provide clear and extensive functions.
|
||
|
||
- curly brackets `{}`: grouping for indexes, constraints and table definitions
|
||
- square brackets `[]`: settings
|
||
- forward slashes `//`: comments
|
||
- `column_name` is stated in just plain text
|
||
- single quote as `'string'`: string value
|
||
- double quote as `"column name"`: quoting variable
|
||
- triple quote as `'''multi-line string'''`: multi-line string value
|
||
- backtick `` ` ``: function expression
|