16. Table Partitioning: Range, List, Hash & Key Partitioning for Multi-Million Row Tables • MySQL Mastery: Basic to Advanced & Enterprise Scaling • Rishabh Ki Kaksha

MySQL Mastery: Basic to Advanced & Enterprise Scaling › 16. Table Partitioning: Range, List, Hash & Key Partitioning for Multi-Million Row Tables

45 mins

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Course Syllabus

Module 1: Relational Algebra, SQL Fundamentals & Schema Design

01. Relational Database Foundations: SQL vs NoSQL, Relational Algebra & Database Normalization (1NF to BCNF) 02. MySQL Data Types Deep Dive: VARCHAR vs TEXT, DECIMAL for Financial Precision & JSON Column Performance 03. Primary Keys, Foreign Keys, Unique Constraints & Referential Integrity Rules (CASCADE / RESTRICT)

Module 2: Advanced SQL: Joins, Window Functions & CTEs

04. SQL Joins Masterclass: INNER, LEFT, RIGHT, FULL OUTER & Cross Joins Execution Strategies 05. Subqueries vs Common Table Expressions (WITH CTE) & Recursive CTEs for Hierarchical Tree Queries 06. SQL Window Functions: ROW_NUMBER(), RANK(), DENSE_RANK(), NTILE(), LEAD() & LAG() for Analytics

Module 3: InnoDB Storage Engine Internals, Buffer Pool & B+ Trees

07. InnoDB Architecture: The Buffer Pool, Change Buffer, Redo Log (WAL), Undo Log & Doublewrite Buffer 08. Clustered Indexes vs Secondary Indexes: How B+ Tree Data Pages are Organized on Disk 09. The B+ Tree Node Structure: Fanout, Height Calculations & Why B+ Trees Outperform Binary Trees for Disk I/O

Module 4: ACID Transactions, Lock Architecture & Concurrency Control

10. ACID Properties Deep Dive: Atomicity (Undo Log), Consistency, Isolation & Durability (Redo Log) 11. Transaction Isolation Levels: Read Uncommitted, Read Committed, Repeatable Read (Default) & Serializable 12. Multi-Version Concurrency Control (MVCC): Read Views, Row Versioning & Non-Locking Consistent Reads 13. InnoDB Locking Engine: Record Locks, Gap Locks, Next-Key Locks & Resolving Deadlocks in High Concurrency

Module 5: Query Optimization, Index Tuning, Partitioning & High Availability

14. Query Optimization with EXPLAIN & EXPLAIN ANALYZE: Type column (ALL, index, range, ref, eq_ref, const) 15. Index Tuning Secrets: Leftmost Prefix Rule, Covering Indexes (Using Index) & Avoiding Index Degradation Traps 16. Table Partitioning: Range, List, Hash & Key Partitioning for Multi-Million Row Tables 17. MySQL Replication: Binary Log (binlog), Master-Slave Async vs Semi-Sync Replication & GTID Architecture 18. Production Enterprise Backup Strategies: Physical (Percona XtraBackup) vs Logical (mysqldump / mydumper)

Interactive Lesson Studio

# 16. Table Partitioning: Range, List, Hash & Key Partitioning for Multi-Million Row Tables

> MySQL Mastery Notes by Rishabh - Topic 16

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### 1. Partition Pruning on Multi-Million Row Tables ✂️

100 Million rows table ko 12 monthly independent physical `.ibd` files me partition kar dena:

```sql
CREATE TABLE audit_logs (
    id BIGINT NOT NULL,
    user_id INT NOT NULL,
    event_payload JSON,
    created_at DATE NOT NULL,
    PRIMARY KEY (id, created_at)
)
PARTITION BY RANGE (YEAR(created_at)) (
    PARTITION p2024 VALUES LESS THAN (2025),
    PARTITION p2025 VALUES LESS THAN (2026),
    PARTITION p2026 VALUES LESS THAN (2027),
    PARTITION p_max VALUES LESS THAN MAXVALUE
);
```

*Query with `WHERE created_at >= '2026-01-01'` directly scans ONLY partition `p2026` (Prunes 95% of disk data!).*

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### 2. Interview Ke 3 Sawal Is Topic Se

1. **Partitioning Key Primary Key ka part kyu honi chahiye?** -> MySQL enforce karta hai ki table ki saari Unique/Primary keys me partition expression column mandatory include ho (Local index uniqueness guarantee).
2. **Dropping old partition (`ALTER TABLE audit_logs DROP PARTITION p2024`) DELETE query se fast kyu hoti hai?** -> Instant metadata deletion (0.01 seconds vs hours of row-by-row `DELETE` with undo log overhead).
3. **Partitioning Sharding ka replacement kyu nahi hai?** -> Partitioning single MySQL instance par single server hardware scale karti hai; Sharding distributed multi-server clusters par horizontal scale karti hai.

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**Next Topic:** 17. MySQL Replication: Binary Log (binlog), Master-Slave Async vs Semi-Sync Replication & GTID Architecture

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