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๐Ÿ”น SQL Example
BEGIN;
UPDATE accounts
SET balance = balance - 100
WHERE id = 1;
ROLLBACK;

๐Ÿ”น Interview Tip
Transactions protect data integrity.

๐Ÿš€ 78. What is connection pooling?
Opening DB connections repeatedly is expensive.
Connection pooling: Reuses existing connections

๐Ÿ”น Flow
App โ†’ Connection Pool โ†’ Database

๐Ÿ”น Benefits
โœ… Faster performance
โœ… Reduced overhead
โœ… Better scalability

๐Ÿ”น Popular Tools
โ€ข HikariCP
โ€ข PgBouncer

๐Ÿ”น Interview Tip
Connection pools are critical in high-traffic backend systems.

๐Ÿš€ 79. What is the CAP theorem?
CAP theorem states distributed systems can only guarantee TWO of:

๐Ÿ”น CAP

C
โ€ข Meaning: Consistency

A
โ€ข Meaning: Availability

P
โ€ข Meaning: Partition Tolerance

๐Ÿ”น Explanation

๐Ÿ”น Consistency
All nodes return same data.

๐Ÿ”น Availability
System always responds.

๐Ÿ”น Partition Tolerance
System survives network failures.

๐Ÿ”น Reality
In distributed systems: Partition tolerance is mandatory
So trade-off becomes: Consistency vs Availability

๐Ÿ”น Interview Tip
CAP theorem is fundamental for distributed systems interviews.

๐Ÿš€ 80. How do you design a scalable schema for user-generated content?
Examples:
โ€ข Social media posts
โ€ข Comments
โ€ข Reviews
โ€ข Videos

๐Ÿ”น Core Tables

๐Ÿ”น Users
โ€ข user_id
โ€ข name

๐Ÿ”น Posts
โ€ข post_id
โ€ข user_id
โ€ข content

๐Ÿ”น Comments
โ€ข comment_id
โ€ข post_id
โ€ข user_id

๐Ÿ”น Scalability Techniques
โœ… Indexes
โœ… Caching
โœ… CDN for media
โœ… Database sharding
โœ… Async processing

๐Ÿ”น Media Storage
Store images/videos in:
โ€ข Amazon Web Services S3
โ€ข Object storage systems

๐Ÿ”น Feed Optimization
Use: Precomputed feeds for faster timeline generation.

๐Ÿ”น Interview Tip
Scalable schema design focuses on:
โ€ข Read efficiency
โ€ข Write scalability
โ€ข High traffic handling

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