mx-pg-controller-migration

Verify controller endpoints and data responses after migrating MongoDB to PostgreSQL.

547|153|Updated Jul 14, 2021

Search Tags:#database migration #data integrity #PostgreSQL #MongoDB #controller verification

Ready to run

npx skills add https://github.com/mx-space/core --skill mx-pg-controller-migration

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Skill: mx-pg-controller-migration
Source: https://github.com/mx-space/core/tree/main/.claude/skills/mx-pg-controller-migration
Command: npx skills add https://github.com/mx-space/core --skill mx-pg-controller-migration

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps developers verify and adjust controller logic to ensure data correctness and compatibility after migrating from MongoDB to PostgreSQL, preventing data loss and inconsistencies.

Core Features & Use Cases

Controller Verification: Assists in checking route responses and data shape consistency between old and new database schemas.
Migration Guidance: Provides step-by-step instructions to identify and fix issues related to data shape, joined fields, and field renaming.
Use Case: When migrating an application's content controllers, use this Skill to ensure fields like related, category, and ref_type transfer correctly and that API responses match front-end expectations.

Quick Start

Use the Skill to compare your PG migration commit with the previous MongoDB state to identify data discrepancies and related code issues.

Frequently Asked Questions about mx-pg-controller-migration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I verify controller endpoint data after migrating from MongoDB to PostgreSQL?▼

To verify controller endpoints after a PostgreSQL migration, compare your new PG commit against the previous MongoDB state to check route responses and identify data shape discrepancies. This ensures fields like `related` and `category` transfer correctly without data loss.

What is the best way to check data shape consistency when switching databases to PostgreSQL?▼

Checking data shape consistency when switching to PostgreSQL involves validating field mappings and joined data propagation across your application. You can compare API responses against front-end expectations to ensure compatibility and prevent inconsistencies.

How do I fix joined data propagation issues after a database migration to PostgreSQL?▼

Fixing joined data propagation after a PostgreSQL migration requires step-by-step adjustments to your controller logic. You must identify issues with field renaming and ref_type mappings to ensure seamless operation across SDKs and dashboards.

Can I use this to check field mappings for my API controllers after a PG switch?▼

Yes, you can use this to check field mappings for API controllers after a PG switch. It assists in identifying and fixing issues related to data shape and joined fields, ensuring your API responses match front-end expectations.

Why does my API response return incorrect ref_type values after migrating from MongoDB?▼

Incorrect ref_type values after migrating from MongoDB usually occur due to unadjusted controller logic and improper field mappings. Verifying the data shape consistency and applying necessary code adjustments will resolve these data integrity issues.