Data Management Patterns FAQs

Question 1

Is this skill specific to PostgreSQL?

Accepted Answer

While the provided examples utilize PostgreSQL syntax, the architectural patterns for migrations, retention, and compliance are universal and can be adapted for MySQL, SQL Server, and other relational databases.

Question 2

How does this skill help with zero-downtime migrations?

Accepted Answer

It provides the Expand-Contract pattern, which involves adding new structures alongside old ones and syncing data via triggers before switching the application, ensuring the database remains available throughout the process.

Question 3

Can I automate data cleanup using these patterns?

Accepted Answer

Yes, the skill includes templates for data retention configurations and automated cleanup functions that can be scheduled via pg_cron or other job schedulers to remove expired records automatically.

Question 4

Does it support soft deletion logic?

Accepted Answer

Yes, it provides a standardized soft delete pattern including schema recommendations and partial indexing strategies to ensure that performance isn't compromised when filtering out deleted records.

Question 5

How are GDPR requests handled by this skill?

Accepted Answer

The skill includes specialized scripts for 'Right to Access' (data export) and 'Right to Erasure' (data deletion or anonymization), ensuring that user data is handled according to legal requirements while maintaining system integrity.

Data Management Patterns

Data Management Patterns

概要

主な機能

ユースケース

概要

主な機能

ユースケース