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Excel at MySQL Interviews

Practice MySQL-specific features, storage engines, and optimization techniques

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What You'll Master in MySQL Interviews

Storage Engines

Understand InnoDB vs MyISAM and engine-specific features

Optimization

Master query optimization, indexing, and performance tuning

Replication

Learn master-slave replication and clustering strategies

How Vibe Interviews Works

1

Choose Your Focus

Select MySQL as your interview topic and customize the difficulty level

2

Practice with AI

Answer realistic MySQL interview questions in a simulated environment

3

Get Feedback

Receive detailed feedback on your answers, including areas to improve

4

Track Progress

Monitor your improvement and identify strengths and weaknesses

Common MySQL Interview Topics

InnoDB and storage engines

Query optimization and EXPLAIN

Indexing strategies and types

Transactions and locking

Replication and binary logs

MySQL performance tuning

Common MySQL Interview Questions

Q: What's the difference between InnoDB and MyISAM storage engines?

A: InnoDB: default, supports transactions, ACID compliant, row-level locking, foreign keys, crash recovery. MyISAM: no transactions, table-level locking, faster for read-heavy, full-text search (before MySQL 5.6). Use InnoDB for most cases - transactions and reliability are crucial. MyISAM mostly deprecated.

Q: Explain MySQL's query cache and why it was removed

A: Query cache stored SELECT query results. Cache invalidated on table write. Problems: mutex contention on multi-core systems, frequent invalidation with writes, not effective for modern workloads. Removed in MySQL 8.0. Better solutions: application-level caching (Redis), result set caching in app.

Q: What are MySQL replication types and when to use each?

A: Asynchronous: master doesn't wait for slave acknowledgment, fastest but potential data loss. Semi-synchronous: waits for at least one slave acknowledgment, safer. Group replication: multi-master, automatic failover. Use async for read scaling, semi-sync for DR, group replication for HA.

Q: How do you optimize a slow MySQL query?

A: Steps: 1) EXPLAIN to see execution plan, 2) Check for missing indexes, 3) Look for table scans, 4) Optimize JOINs (order matters), 5) Check LIMIT usage, 6) Review WHERE clause selectivity, 7) Consider query restructuring, 8) Use covering indexes, 9) Analyze slow query log, 10) Check table statistics are updated.

MySQL Interview Preparation Tips

1

Master EXPLAIN output and how to read execution plans

2

Understand indexing strategies: composite indexes, covering indexes, index hints

3

Know the difference between CHAR and VARCHAR, and when to use each

4

Practice with MySQL's JSON functions for semi-structured data

5

Understand binary logging and point-in-time recovery

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