Is LINQ querying supported for these JSON columns?

Yes, the skill provides specific patterns for using LINQ to filter, sort, and query nested properties within JSON columns directly in EF Core.

Does this skill support both PostgreSQL and SQL Server?

Yes, it includes specific indexing and query strategies for both SQL Server's JSON_VALUE functions and PostgreSQL's jsonb GIN indexes.

Can I use this for strongly-typed data?

Absolutely. The skill covers patterns for strongly-typed custom fields, allowing you to use C# DTOs while storing the underlying data as JSON.

How does this help reduce database migrations?

By storing dynamic properties in a JSON column, you can add, remove, or modify fields in your application code without needing to generate and execute SQL migration scripts.

Dynamic Schema Design for EF Core

Name: Dynamic Schema Design for EF Core
Author: melodic-software

bymelodic-software

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コンテンツ管理

Implements flexible, migration-free content schemas using EF Core JSON columns and the ToJson pattern for modern headless CMS architectures.

概要

This skill provides expert guidance for developers building content-rich applications that require evolving data structures without the overhead of frequent database migrations. It specializes in EF Core JSON column configurations, teaching you how to use the OwnsOne().ToJson() pattern for both strongly-typed and dynamic property bags. By leveraging hybrid storage patterns, indexing strategies for SQL Server and PostgreSQL, and LINQ-to-JSON querying, it ensures your database remains flexible enough for CMS custom fields while maintaining high performance and type safety.

主な機能

LINQ querying and raw SQL optimization for nested JSON data
EF Core JSON column configuration using the ToJson() pattern
Database-specific indexing strategies including GIN and computed columns
Implementation of dynamic property bags and hybrid storage patterns
Migration-free schema evolution for CMS custom fields
12 GitHub stars

ユースケース

Migrating from legacy EAV (Entity-Attribute-Value) patterns to performant JSON storage
Designing multi-tenant SaaS applications with per-tenant schema extensions
Building a headless CMS with customizable content types and fields

概要

主な機能

LINQ querying and raw SQL optimization for nested JSON data
EF Core JSON column configuration using the ToJson() pattern
Database-specific indexing strategies including GIN and computed columns
Implementation of dynamic property bags and hybrid storage patterns
Migration-free schema evolution for CMS custom fields
12 GitHub stars

ユースケース

Migrating from legacy EAV (Entity-Attribute-Value) patterns to performant JSON storage
Designing multi-tenant SaaS applications with per-tenant schema extensions
Building a headless CMS with customizable content types and fields