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Computer Science
Databases
MongoDB Database
1. Introduction to NoSQL and Document Databases
2. Getting Started with MongoDB
3. The MongoDB Data Model
4. CRUD Operations: Manipulating Data
5. Indexing for Performance
6. The Aggregation Framework
7. Transactions
8. Scalability and High Availability
9. Security in MongoDB
10. Administration and Ecosystem
Indexing for Performance
The Role of Indexes in Query Optimization
How Indexes Improve Query Speed
Index Data Structures
Indexes and Write Performance Impact
Memory Usage Considerations
Indexing Concepts
Single Field Indexes
Creating Single Field Indexes
Index Direction (Ascending/Descending)
Use Cases and Query Patterns
Compound Indexes
Multi-Field Index Creation
Index Key Order Importance
Query Pattern Matching
Index Prefix Usage
Multikey Indexes
Automatic Array Indexing
Multikey Index Limitations
Performance Characteristics
Specialized Index Types
Text Indexes
Full-Text Search Capabilities
Creating Text Indexes
Text Search Queries
Language-Specific Text Processing
Text Index Limitations
Geospatial Indexes
2d Indexes for Planar Geometry
2dsphere Indexes for Spherical Geometry
Geospatial Query Operations
Location-Based Applications
Hashed Indexes
Hash-Based Index Structure
Sharding with Hashed Indexes
Equality Query Optimization
Limitations and Use Cases
TTL (Time-To-Live) Indexes
Automatic Document Expiration
TTL Index Configuration
Use Cases and Applications
Expiration Process Mechanics
Index Properties
Unique Indexes
Uniqueness Constraint Enforcement
Compound Unique Indexes
Partial Uniqueness
Partial Indexes
Conditional Index Creation
Storage Space Optimization
Query Eligibility Requirements
Sparse Indexes
Indexing Only Existing Fields
Null Value Handling
Query Behavior with Sparse Indexes
Case-Insensitive Indexes
Collation-Based Indexing
String Comparison Options
Managing Indexes
Creating Indexes
createIndex() Method
Index Creation Options
Background Index Building
Index Build Performance
Viewing Existing Indexes
getIndexes() Method
Index Metadata Analysis
Index Usage Statistics
Dropping Indexes
dropIndex() Method
Index Removal Considerations
Performance Impact of Dropping
Rebuilding Indexes
reIndex() Operation
Index Maintenance Strategies
Analyzing Query Performance
The explain() Method
Execution Statistics
Query Plan Analysis
Index Usage Verification
Understanding Execution Plans
Winning Plan Selection
Rejected Plans Analysis
Performance Metrics Interpretation
Query Optimization Strategies
Index Design Best Practices
Query Rewriting Techniques
Performance Monitoring
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4. CRUD Operations: Manipulating Data
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6. The Aggregation Framework