Must learn Important topics when learning MySQL

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Below is a focused, production-oriented checklist of important topics to learn in MySQL, organized from fundamentals → advanced → operations. This is the skill set expected of backend engineers working with real MySQL systems.


Important Topics to Learn in MySQL

1. MySQL Fundamentals

  • MySQL architecture (client → server → storage engine)
  • Databases, tables, rows, columns
  • Character sets & collations (utf8mb4 vs utf8)
  • Data types (INT, BIGINT, VARCHAR, TEXT, DATE, TIMESTAMP, JSON)
  • NULL behavior and defaults

2. SQL Basics (Daily Usage)

  • SELECTINSERTUPDATEDELETE
  • WHEREORDER BYLIMITOFFSET
  • DISTINCT
  • CASE expressions

3. Filtering & Aggregation

  • ANDORINBETWEENLIKE
  • COUNTSUMAVGMINMAX
  • GROUP BY
  • HAVING

4. Joins & Relationships (Critical)

  • INNER JOIN
  • LEFT JOINRIGHT JOIN
  • Self joins
  • Many-to-many relationships
  • Join order & performance impact

Most performance problems start with bad joins.


5. Indexing (Very Important)

  • B-Tree indexes (default)
  • Primary vs secondary indexes
  • Composite (multi-column) indexes
  • Covering indexes
  • Index selectivity
  • When NOT to add an index

6. Storage Engines (Must Know)

InnoDB (Default)

  • Clustered index
  • Row-level locking
  • MVCC
  • Redo / undo logs

MyISAM (Legacy)

  • Table-level locking
  • Why it’s mostly avoided

7. Constraints & Data Integrity

  • PRIMARY KEY
  • FOREIGN KEY
  • UNIQUE
  • NOT NULL
  • CHECK (MySQL 8+)
  • Cascading rules (ON DELETEON UPDATE)

8. Transactions & ACID

  • START TRANSACTIONCOMMITROLLBACK
  • Atomicity, Consistency, Isolation, Durability
  • Autocommit behavior
  • Savepoints

9. Isolation Levels & Locking

  • Read Uncommitted
  • Read Committed
  • Repeatable Read (default in MySQL)
  • Serializable
  • Gap locks
  • Deadlocks & detection

10. Query Optimization

  • EXPLAIN
  • EXPLAIN ANALYZE
  • Query execution order
  • Index usage analysis
  • Avoiding full table scans

This is where senior-level MySQL skill starts.


11. Schema Design & Normalization

  • 1NF, 2NF, 3NF
  • When to denormalize
  • OLTP-friendly schema design
  • Avoiding over-indexing

12. Advanced SQL

  • Subqueries (correlated & non-correlated)
  • Common Table Expressions (CTEs – MySQL 8+)
  • Window functions (ROW_NUMBERRANK)
  • JSON functions (JSON_EXTRACTJSON_CONTAINS)

13. Stored Logic

  • Stored procedures
  • Functions
  • Triggers
  • Events (MySQL Scheduler)
  • Pros & cons in application design

14. Security & Access Control

  • Users & roles
  • GRANT / REVOKE
  • Host-based access
  • Password authentication plugins
  • SQL injection prevention

15. Backup & Recovery (Production-Critical)

  • Logical backups (mysqldump)
  • Physical backups
  • Restore strategies
  • Backup verification
  • Point-in-time recovery basics

16. Replication & High Availability

  • Primary-Replica replication
  • Binary logs (binlog)
  • Replication lag
  • Read replicas
  • Failover basics

17. Partitioning & Scaling

  • Range, Hash, List partitioning
  • Vertical vs horizontal scaling
  • Read scaling strategies
  • Connection pooling concepts

18. Performance & Monitoring

  • Slow query log
  • Performance Schema
  • Information Schema
  • Index statistics
  • Disk I/O bottlenecks

19. MySQL Configuration & Tuning

  • innodb_buffer_pool_size
  • max_connections
  • query_cache (deprecated)
  • Thread handling
  • Memory vs disk tradeoffs

20. MySQL + Application Integration

  • ORM behavior (Django, Laravel, SQLAlchemy)
  • N+1 query problem
  • Transactions in app code
  • Migration strategies

Learning Priority (If You’re Time-Constrained)

Phase 1 – Must Know

  • SQL basics
  • Joins
  • Indexing
  • Transactions
  • InnoDB fundamentals

Phase 2 – Professional Level

  • Query optimization
  • Isolation levels
  • Replication basics
  • Schema design

Phase 3 – Production / Senior

  • Backups & recovery
  • Scaling & partitioning
  • Monitoring & tuning
  • High availability
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