Does it support dynamic query building?

Absolutely. It covers the use of the pin operator for interpolation and provides functional patterns for building queries dynamically based on runtime arguments or user filters.

How does this skill help with N+1 query problems?

It provides specific patterns for efficient association preloading using both separate queries and join-based preloads to minimize database round trips and improve response times.

Are these patterns compatible with all Ecto-supported databases?

Yes, these patterns focus on the Ecto Query DSL, which provides a database-agnostic abstraction layer compatible with PostgreSQL, MySQL, MSSQL, and SQLite.

Can I use raw SQL with these patterns?

Yes, the skill includes guidance on using the 'fragment' macro to safely embed database-specific SQL when the standard DSL isn't enough, ensuring parameters are still handled securely.

Ecto Query Patterns

Name: Ecto Query Patterns
Author: TheBushidoCollective

byTheBushidoCollective

•

Gestión de Bases de Datos

Streamlines Elixir database interactions using Ecto's Query DSL for composable, type-safe, and efficient data retrieval.

Acerca de

This skill provides comprehensive guidance on leveraging the Ecto Query DSL within Elixir applications to build robust database layers. It covers essential patterns ranging from basic CRUD operations and schema-based queries to advanced techniques like query composition, complex joins, and nested preloading. By following these patterns, developers can create highly reusable query modules that are protected against SQL injection and optimized for performance, helping to eliminate common issues like N+1 query problems.

Características Principales

Safe raw SQL integration using database fragments
Composable query construction for modular codebases
Advanced association preloading and join strategies
Aggregation, grouping, and pagination implementation patterns
72 GitHub stars
Dynamic query building with secure parameter interpolation

Casos de Uso

Building complex, multi-parameter search and filtering systems for Elixir backends
Refactoring monolithic database logic into reusable, testable query components
Optimizing application performance by refining data selection and preloading logic

Acerca de

Características Principales

Safe raw SQL integration using database fragments
Composable query construction for modular codebases
Advanced association preloading and join strategies
Aggregation, grouping, and pagination implementation patterns
72 GitHub stars
Dynamic query building with secure parameter interpolation

Casos de Uso

Building complex, multi-parameter search and filtering systems for Elixir backends
Refactoring monolithic database logic into reusable, testable query components
Optimizing application performance by refining data selection and preloading logic