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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
CRUD Operations: Manipulating Data
Create Operations
Inserting a Single Document (insertOne)
Basic Syntax and Usage
Insert Options and Parameters
Handling Duplicate _id Errors
Return Value Analysis
Inserting Multiple Documents (insertMany)
Batch Insert Syntax
Ordered vs Unordered Inserts
Error Handling in Bulk Operations
Performance Considerations
Insert Behavior and Validation
Document Validation on Insert
Schema Validation Rules
Write Concern Impact
Read Operations (Querying)
Finding Documents
find() Method Syntax
findOne() Method Usage
Cursor Behavior and Iteration
Query Result Formatting
Basic Query Syntax
Equality Queries
Field Existence Queries
Type-Based Queries
Query and Projection Operators
Comparison Operators
$eq (Equal)
$gt (Greater Than)
$gte (Greater Than or Equal)
$lt (Less Than)
$lte (Less Than or Equal)
$ne (Not Equal)
$in (In Array)
$nin (Not In Array)
Logical Operators
$and (Logical AND)
$or (Logical OR)
$not (Logical NOT)
$nor (Logical NOR)
Element Operators
$exists (Field Exists)
$type (Field Type)
$size (Array Size)
Array Operators
$all (All Elements Match)
$elemMatch (Element Match)
Evaluation Operators
$regex (Regular Expression)
$text (Text Search)
$where (JavaScript Expression)
Projections (Field Selection)
Including Specific Fields
Excluding Specific Fields
Projection Operators
Nested Field Projections
Querying on Embedded Documents
Dot Notation in Queries
Exact Subdocument Matching
Partial Subdocument Matching
Nested Field Queries
Querying on Arrays
Array Element Matching
Array Query Operators
Positional Operators
Array Index-Based Queries
Query Optimization Techniques
Index Usage in Queries
Query Plan Analysis
Performance Tuning
Update Operations
Updating a Single Document (updateOne)
Basic Update Syntax
Filter Criteria
Update Options
Upsert Functionality
Updating Multiple Documents (updateMany)
Bulk Update Operations
Performance Considerations
Atomic Update Guarantees
Replacing a Document (replaceOne)
Full Document Replacement
Replacement vs Update
Use Cases and Limitations
Update Operators
Field Update Operators
$set (Set Field Value)
$unset (Remove Field)
$inc (Increment Numeric Value)
$mul (Multiply Numeric Value)
$rename (Rename Field)
$min (Update if Less Than)
$max (Update if Greater Than)
$currentDate (Set Current Date)
Array Update Operators
$push (Add Element to Array)
$pull (Remove Elements from Array)
$pop (Remove First or Last Element)
$addToSet (Add Unique Element)
$pullAll (Remove Multiple Elements)
$each (Modify Multiple Array Elements)
$slice (Limit Array Size)
$sort (Sort Array Elements)
Positional Operators
$ (Positional Operator)
$[] (All Positional Operator)
$[identifier] (Filtered Positional)
Upsert Operations
Upsert Behavior and Logic
Use Cases and Applications
Performance Implications
Update Performance Optimization
Index Usage in Updates
Bulk Update Strategies
Write Concern Considerations
Delete Operations
Deleting a Single Document (deleteOne)
Delete Syntax and Options
Filter Criteria
Return Value Analysis
Deleting Multiple Documents (deleteMany)
Bulk Delete Operations
Performance Considerations
Cascading Delete Strategies
Delete Operation Considerations
Referential Integrity
Orphaned Document Handling
Soft Delete Patterns
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5. Indexing for Performance