In this Bangla Tutorial of PostgreSQL, Sumit Saha, a Bangladeshi technology entrepreneur, software engineer, and programming educator, discusses the architecture of PostgreSQL in-depth and at an engineering level.
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What actually happens after a simple SQL Query enters the database? Does PostgreSQL just save data, or does a bigger engine work inside it? We usually understand databases as Table, Row, Column, and SELECT/INSERT. But as a production-grade database engine, PostgreSQL's job is not just to store data, but to keep the data safe and read fast.
Timestamps (Chapters)
00:00 Introduction: The PostgreSQL Engine
02:15 Core Architecture & Data Constraints
03:32 Query Lifecycle: Parser, Planner & Executor
08:53 Indexes & Query Performance
11:18 Transactions & ACID Guarantees
13:00 MVCC: Multi-Version Concurrency Control
18:49 WAL: Crash Recovery & Durability
21:52 Vacuuming & Table Maintenance
24:35 Why Database Locks Still Matter
25:30 Production Realities: Replication & Backups
27:08 Conclusion: The Engineer’s Mindset
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