PostgreSQL Deadlock Explained with Python – Simulating and Fixing Deadlocks

In this video, we explore deadlocks in PostgreSQL and learn how to simulate a real deadlock scenario using Python. First, we briefly explain what a deadlock is and why it happens in relational databases. Then, step by step, we create a simple PostgreSQL table and use Python with psycopg2 to run two concurrent transactions that intentionally cause a deadlock. 0:00 - What We Are Going to Build 0:05 - What Is a Deadlock? 0:22 - How PostgreSQL Handles Deadlocks 0:50 - Simulating a Deadlock with Python 3:52 - Free Python Courses Source Code: https://github.com/turtlecode/postgresql-python-examples/blob/main/deadlock-simulation.py You’ll see: 🔸 How PostgreSQL row-level locks work 🔸 Why inconsistent lock ordering leads to deadlocks 🔸 How PostgreSQL detects and automatically resolves deadlocks 🔸 Where deadlocks are logged in PostgreSQL (Windows example included) After reproducing the deadlock, we analyze the PostgreSQL log output to clearly understand what went wrong. Finally, we fix the issue by applying a best practice locking strategy, showing how a small change in transaction order can completely prevent deadlocks. This video is ideal for: 🔹 Python developers working with PostgreSQL 🔹 Backend developers and DBAs 🔹 Anyone who wants to understand database locking and concurrency in practice If you want to learn more Python through practical, real-world examples, check out the Courses section on the channel — there are many free Python tutorials available. ✔️ Free Courses: https://www.youtube.com/@turtlecode/courses ✔️ Join Channel: https://www.youtube.com/channel/UChc8lo6K1HPM4_WDjsMSH6g/join Don’t forget to subscribe and join the channel to support the content and continue learning together 🚀