Foreign Data Wrapper in PostgreSQL with Python

In this video, we dive into one of PostgreSQL’s most powerful features: Foreign Data Wrapper. You’ll learn how to connect multiple PostgreSQL servers, access tables across different databases, and build a simple distributed database architecture on a Windows environment. We start by setting up two independent PostgreSQL clusters—one for HR and one for Payroll—each running on its own port. Then, we use PostgreSQL’s Foreign Data Wrapper feature to create a live bridge between these servers, allowing data to be shared and queried in real time. 0:00 – Introduction & What We’ll Build 0:09 – Creating PostgreSQL Clusters & Configuration 2:34 – pgAdmin Setup & Foreign Data Wrapper Configuration 6:42 – Connecting to PostgreSQL with Python 8:03 – Free Courses & Next Steps After configuring the database side, we take it a step further by connecting to both clusters using Python. You’ll see how to run SELECT queries directly on the source database and how to access remote data transparently through foreign tables. Source Code: https://github.com/turtlecode/postgresql-python-examples/blob/main/postgres_fdw.py This video is perfect if you want to understand cross-server data access, federated database concepts, and how PostgreSQL and Python work together in real-world scenarios. ✔️ Free Courses: https://www.youtube.com/@turtlecode/courses ✔️ Join Channel: https://www.youtube.com/channel/UChc8lo6K1HPM4_WDjsMSH6g/join 🎯 What you’ll learn: 🔸 Running multiple PostgreSQL clusters on a single machine 🔸 Configuring Foreign Data Wrapper between servers 🔸 Reading and writing data across databases 🔸 Accessing PostgreSQL from Python For more PostgreSQL and Python tutorials, check out the Courses section—there are many free resources available. Don’t forget to subscribe and join the channel to support the content. Happy learning 🚀