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Why 99% of Devs FAIL at System Design (Truth Revealed). Database Architecture Explained

Автор: Null & Void

Загружено: 2026-01-10

Просмотров: 4

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Stop treating your database like a black box.

Most developers write a SELECT query and just hope for the best. They have no idea how that string of text translates into bytes on a disk. If you don't understand the architecture, you cannot optimize the system. You are just guessing.

In this video, we strip away the frameworks and the ORMs to look at the raw engineering of a Database Management System (DBMS). We are breaking down the architecture from First Principles—tracing the lifecycle of a query from the moment it leaves your client to the moment the disk head reads a sector.

We dissect the three critical layers that power every relational database (PostgreSQL, MySQL, Oracle):

1. The Application / Transport Layer (The Interface)
This is where your code lives. We cover:

Connection Handling: How APIs and Drivers maintain state.

The Protocol: Sending raw strings (SQL) vs. binary protocols.

The Bottleneck: Why opening and closing connections kills performance (and why we use Connection Pools).

2. The Query Engine (The Brain)
This is the most complex piece of software you will ever use. We explain how the DB "compiles" your request:

The Parser: Converting SQL text into a Parse Tree (checking syntax).

The Rewriter: Resolving views and checking permissions.

The Optimizer (The Core): Using statistics to calculate the "cost" of different execution paths. This determines if your query runs in 10ms or 10 minutes.

The Executor: Running the logic (Sort, Join, Aggregate).

3. The Storage Layer (The Metal)
Data doesn't float in the cloud; it lives on physical hardware.

Memory vs. Disk: The role of the Buffer Pool (Caching).

Data Structures: Why databases use B-Trees and LSM Trees instead of simple arrays.

I/O Management: How the database minimizes expensive disk seeks by reading "Pages" rather than individual rows.

The Reality: If you want to build scalable backend systems, you need to understand the cost of every abstraction you use.

Why 99% of Devs FAIL at System Design (Truth Revealed). Database Architecture Explained

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