Partitioning a 10 Million Row Postgres Table (Full Breakdown)
Ever wonder how databases handle tables with billions of rows without falling over? The answer is partitioning, and in this video I break down exactly how it works, why it matters, and where it can actually hurt you if you are not careful.
We cover:
What partitioning actually is (with a visual walkthrough)
Horizontal vs vertical partitioning
Partitioning types: range, list, and hash
Partitioning vs sharding, and why the difference matters for your architecture
A full live demo in Postgres: creating a 10 million row table, partitioning it, indexing it, and comparing query performance before and after
Why partition pruning being off will quietly ruin your performance
The pros and cons nobody tells you about until you hit them in production
Bonus: automating partition creation with a Node.js script for a 1 billion row table
If you are studying for backend or database interviews, working with large tables in production, or just curious how databases scale, this one is for you.
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