postgresql-schema-design

Design PostgreSQL 18 schemas for multi-tenant microservices with UUID keys and JSONB fields.

1|Updated Apr 17, 2026
One-click install
npx skills add https://github.com/PremModhaOfficial/motadata-ai-pipeline --skill postgresql-schema-design
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: postgresql-schema-design
Source: https://github.com/PremModhaOfficial/motadata-ai-pipeline/tree/main/.claude/skills/postgresql-schema-design
Command: npx skills add https://github.com/PremModhaOfficial/motadata-ai-pipeline --skill postgresql-schema-design

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

PostgreSQL 18 schema design patterns for multi-tenant microservice platforms. Defines standard table template with id, timestamps, soft delete, and optimistic locking. Covers data type selection (UUID v7 for primary keys, TIMESTAMPTZ not TIMESTAMP, JSONB for flexible fields), indexing strategy (B-tree for equality/range lookups, GIN for JSONB and tsvector full-text search, partial indexes for soft-delete filtering), table partitioning criteria, COMMENT ON conventions for documentation, and snake_case naming conventions. Targets PostgreSQL 18 on AWS Aurora with schema-per-tenant isolation and tenant-aware connection routing.

Core Features & Use Cases

  • Standard table template: id UUID, created_at/updated_at TIMESTAMPTZ, is_deleted, version for optimistic locking.
  • Data types and indexing guidance: UUIDs, TIMESTAMPTZ, JSONB with GIN indexes, partial indexes for soft-delete.
  • Documentation and naming conventions: COMMENT ON for tables/columns, snake_case, and per-tenant isolation notes.

Quick Start

Design a per-tenant PostgreSQL schema using these conventions for a new microservice.

Frequently Asked Questions about postgresql-schema-design

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

FAQPage Schema
How do I design a PostgreSQL schema for multi-tenant microservices?

Design a PostgreSQL schema for multi-tenant microservices using a per-tenant schema strategy with standard table templates. Include UUID primary keys, TIMESTAMPTZ timestamps, JSONB fields, and B-tree or GIN indexes to enforce per-tenant isolation and scalable data models.

What is the best way to handle indexing in a multi-tenant PostgreSQL database?

The best way to handle indexing in a multi-tenant PostgreSQL database is using B-tree indexes for equality and range lookups, GIN indexes for JSONB fields, and partial indexes to filter soft-deleted records efficiently.

When do I need table partitioning for multi-tenant PostgreSQL deployments?

You need table partitioning for multi-tenant PostgreSQL deployments when scaling per-tenant schemas to maintain query performance. Partitioning criteria are applied alongside standard table templates to manage large datasets across isolated tenant environments.

Why avoid foreign key constraints in a schema-per-tenant PostgreSQL architecture?

Avoid foreign key constraints in a schema-per-tenant PostgreSQL architecture because per-tenant isolation requires preserving referential integrity via the application layer. This strategy prevents cross-tenant coupling while maintaining clear inline documentation for data relationships.

Does this PostgreSQL schema design pattern work with AWS Aurora?

Yes, this PostgreSQL schema design pattern explicitly targets PostgreSQL 18 on AWS Aurora. It applies schema-per-tenant isolation with tenant-aware connection routing to ensure consistent data models across the managed database environment.

What are the limitations of schema-per-tenant isolation in PostgreSQL?

A limitation of schema-per-tenant isolation in PostgreSQL is the reliance on the application layer to enforce referential integrity instead of database-level foreign keys. This requires careful inline documentation and consistent application logic to prevent data anomalies across tenants.