How do I handle many-to-many relationships in Ecto?

You can use the many_to_many macro with the join_through option, pointing to either a database table name or a dedicated join schema if you need to track additional fields on the relationship.

Does this skill help with Ecto Enums?

Yes, it provides patterns for using Ecto.Enum to map database strings or integers to atom values in your Elixir code for better readability and type safety.

What is the difference between a schema and an embedded schema?

A standard schema maps to a specific database table, while an embedded schema allows you to define a structure for data stored within another record (usually as a JSON/Map column) or used purely in memory.

Can I define fields that are not saved to the database?

Yes, using the virtual: true option on a field allows you to store temporary data in the struct that will not be persisted during database operations.

Ecto Schema Patterns

Name: Ecto Schema Patterns
Author: TheBushidoCollective

byTheBushidoCollective

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Gestión de Bases de Datos

Defines and implements robust Elixir data structures using Ecto schemas, associations, and advanced modeling patterns.

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This skill provides expert guidance for architecting data layers in Elixir applications using the Ecto library. It streamlines the creation of database-backed schemas and embedded structures, handling complex relationships like many-to-many associations and self-referencing links. Whether you are defining custom field types, managing JSONB maps, or implementing nested changesets for embedded data, this skill ensures your domain models are professional, efficient, and follow Elixir best practices for data integrity.

Características Principales

Advanced association modeling (belongs_to, has_one, has_many, many_to_many)
Custom and composite primary key configuration
39 GitHub stars
Standard and custom Ecto field type implementation
Embedded schema patterns for flexible, nested data structures
Schema metadata access for dynamic query building

Casos de Uso

Modeling semi-structured data using JSONB and Ecto embedded schemas
Designing complex relational database schemas for Phoenix applications
Refactoring existing data models to use specialized join schemas or virtual fields

Acerca de

Características Principales

Advanced association modeling (belongs_to, has_one, has_many, many_to_many)
Custom and composite primary key configuration
39 GitHub stars
Standard and custom Ecto field type implementation
Embedded schema patterns for flexible, nested data structures
Schema metadata access for dynamic query building

Casos de Uso

Modeling semi-structured data using JSONB and Ecto embedded schemas
Designing complex relational database schemas for Phoenix applications
Refactoring existing data models to use specialized join schemas or virtual fields