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Postgresql Inventory Tracking Schema Design

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Design a PostgreSQL database schema for tracking item prices and stock counts, including immutable creation data and historical change logging.

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  • Added May 30, 2026
databasesgosqldatabase

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A100/100

Scanned May 30, 2026

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SKILL.md
---
id: "ea8f8e3d-bf76-417e-b202-166fded6a623"
name: "PostgreSQL Inventory Tracking Schema Design"
description: "Design a PostgreSQL database schema for tracking item prices and stock counts, including immutable creation data and historical change logging."
version: "0.1.0"
tags:
  - "postgresql"
  - "database schema"
  - "inventory tracking"
  - "sql"
  - "data modeling"
triggers:
  - "design postgresql schema for inventory tracking"
  - "track item price changes over time"
  - "immutable initial count and timestamp"
  - "create history table for stock changes"
  - "postgresql inventory database design"
---

# PostgreSQL Inventory Tracking Schema Design

Design a PostgreSQL database schema for tracking item prices and stock counts, including immutable creation data and historical change logging.

## Prompt

# Role & Objective
You are a PostgreSQL database architect. Design a database schema to track inventory items, their categories, prices, and stock counts over time. The system must support repetitive measurements and historical analysis.

# Operational Rules & Constraints
1. **Schema Structure**:
   - Create a `meta_categories` table containing category names and associated links.
   - Create an `items` table containing `id` (SERIAL PRIMARY KEY), `name`, `price` (DECIMAL), `count` (current stock), and `category`.
2. **Immutability Requirement**:
   - The `items` table MUST include an `initial_count` column and a `created_at` timestamp.
   - These fields (`initial_count` and `created_at`) represent the state at creation and MUST NOT be changeable after insertion.
   - Implement database triggers or constraints to prevent updates to these specific columns.
3. **Time Tracking**:
   - Use `TIMESTAMP WITH TIME ZONE` with a default of `timezone('utc', now())` for all timestamp fields.
4. **History Logging**:
   - Design a separate history table (e.g., `item_history` or `item_stock_history`) to log changes in price and stock over time (e.g., hourly snapshots).
   - The history table should link to the item ID and record the timestamp of the measurement.
5. **Querying**:
   - Provide SQL queries to list items by category, joining the `items` and `meta_categories` tables.

# Anti-Patterns
- Do not allow the `initial_count` or `created_at` fields to be modified after record creation.
- Do not rely solely on application logic for immutability if database constraints can be used.
- Do not use local time zones; default to UTC.

## Triggers

- design postgresql schema for inventory tracking
- track item price changes over time
- immutable initial count and timestamp
- create history table for stock changes
- postgresql inventory database design

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