https://github.com/shtannikov/db-anomalies

RDBMS and their anomalies
https://github.com/shtannikov/db-anomalies

concurrency-control github-codespaces mssql mvcc playground postgres rdbms sql-server

Last synced: 25 days ago
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RDBMS and their anomalies

• Host: GitHub
• URL: https://github.com/shtannikov/db-anomalies
• Owner: shtannikov
• Created: 2024-08-31T18:21:22.000Z (5 months ago)
• Default Branch: main
• Last Pushed: 2025-01-04T10:37:35.000Z (27 days ago)
• Last Synced: 2025-01-04T11:00:46.463Z (27 days ago)
• Topics: concurrency-control, github-codespaces, mssql, mvcc, playground, postgres, rdbms, sql-server
• Language: PLpgSQL
• Homepage:
• Size: 1.17 MB
• Stars: 5
• Watchers: 1
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## General

The main goal of this repo is to compare MS SQL and PostgreSQL in terms of anomalies and, as a result, better understand the key differences between Locking-Based Concurrency Control and Multiversion Concurrency Control.

## Getting Started

This repo provides a zero-setup playground in GitHub Codespaces. With just one click, you can dive into experiments without the need for manual database configuration.

[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/shtannikov/db-anomalies?quickstart=1)

### How It Works

1. Click the button above.

2. Codespace will launch, automatically preparing all required databases and environment configurations for you.

   👉 It may take up to two minutes to prepare everything the first time 👈

4. Start experimenting with the provided SQL scripts directly in your browser

### Repository Structure

Each folder in this repository corresponds to a specific database anomaly. Inside, you'll find:

- **Documentation**: A brief explanation of the anomaly.

- **SQL scripts**: reproducible examples for both MS SQL and PostgreSQL.

### Demo

https://github.com/user-attachments/assets/33ba1f97-3549-462a-87f7-0d0cf5dd0cde

## References

This repository draws inspiration from the following article, which provides excellent insights into database anomalies:

- https://postgrespro.com/blog/pgsql/5967856