MySQL Database

10.

Indexing for Performance

10.1.

Index Fundamentals

10.1.1.

Index Purpose and Benefits

10.1.1.1.

Query Performance Improvement

10.1.1.2.

Data Retrieval Acceleration

10.1.1.3.

Sort Operation Optimization

10.1.2.

Index Structure Overview

10.1.2.1.

B-Tree Index Organization

10.1.2.2.

Leaf and Non-Leaf Nodes

10.1.2.3.

Index Traversal Process

10.1.3.

Index Types Overview

10.1.3.1.

Clustered vs. Non-Clustered

10.1.3.2.

Primary vs. Secondary Indexes

10.1.3.3.

Unique vs. Non-Unique Indexes

10.2.

B-Tree Index Structure

10.2.1.

B-Tree Characteristics

10.2.1.1.

Balanced Tree Structure

10.2.1.2.

Node Organization

10.2.1.3.

Key Distribution

10.2.2.

Index Traversal

10.2.2.1.

Root to Leaf Navigation

10.2.2.2.

Binary Search Process

10.2.2.3.

Page Access Patterns

10.2.3.

B-Tree Maintenance

10.2.3.1.

10.2.3.2.

10.2.3.3.

Rebalancing Operations

10.3.

Index Types and Variations

10.3.1.

Single-Column Indexes

10.3.1.1.

Simple Index Creation

10.3.1.2.

Column Selection Criteria

10.3.1.3.

Performance Characteristics

10.3.2.

Composite (Multi-Column) Indexes

10.3.2.1.

Column Order Importance

10.3.2.2.

Leftmost Prefix Rule

10.3.2.3.

Query Pattern Matching

10.3.3.

10.3.3.1.

Uniqueness Enforcement

10.3.3.2.

Primary Key Indexes

10.3.3.3.

Alternate Key Indexes

10.3.4.

Full-Text Indexes

10.3.4.1.

Text Search Optimization

10.3.4.2.

Natural Language Searching

10.3.4.3.

Boolean Mode Searching

10.3.5.

Spatial Indexes

10.3.5.1.

Geometric Data Indexing

10.3.5.2.

Spatial Query Optimization

10.3.5.3.

GIS Application Support

10.4.

Index Strategy and Design

10.4.1.

When to Create Indexes

10.4.1.1.

Query Pattern Analysis

10.4.1.2.

Performance Bottleneck Identification

10.4.1.3.

Cost-Benefit Analysis

10.4.2.

When to Avoid Indexes

10.4.2.1.

Small Table Considerations

10.4.2.2.

High Write Volume Impact

10.4.2.3.

Storage Overhead Concerns

10.4.3.

Index Selection Guidelines

10.4.3.1.

Selectivity Analysis

10.4.3.2.

Cardinality Considerations

10.4.3.3.

Query Frequency Assessment

10.4.4.

Composite Index Design

10.4.4.1.

Column Ordering Strategy

10.4.4.2.

Query Coverage Optimization

10.4.4.3.

Index Consolidation

10.5.

Index Management

10.5.1.

Creating Indexes

10.5.1.1.

CREATE INDEX Syntax

10.5.1.2.

Index Naming Conventions

10.5.1.3.

Index Options and Parameters

10.5.2.

Dropping Indexes

10.5.2.1.

DROP INDEX Syntax

10.5.2.2.

Index Dependency Checking

10.5.2.3.

Performance Impact Assessment

10.5.3.

Index Information

10.5.3.1.

SHOW INDEX Command

10.5.3.2.

Index Statistics Viewing

10.5.3.3.

Information Schema Queries

10.5.4.

Index Maintenance

10.5.4.1.

Index Rebuilding

10.5.4.2.

Statistics Updates

10.5.4.3.

Fragmentation Management

10.6.

Query Optimization with Indexes

10.6.1.

EXPLAIN Statement

10.6.1.1.

Execution Plan Analysis

10.6.1.2.

Index Usage Identification

10.6.1.3.

Performance Bottleneck Detection

10.6.2.

Query Execution Plans

10.6.2.1.

Plan Component Understanding

10.6.2.2.

Cost Estimation

10.6.2.3.

Access Method Selection

10.6.3.

Index Optimization Techniques

10.6.3.1.

Covering Indexes

10.6.3.2.

Index-Only Scans

10.6.3.3.

Index Intersection

10.6.4.

Performance Monitoring

10.6.4.1.

Slow Query Identification

10.6.4.2.

Index Effectiveness Measurement

10.6.4.3.

Optimization Iteration

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11. Transactions and Concurrency