Mastering MongoDB 7.0 - Fourth Edition: Achieve data excellence by unlocking the full potential of MongoDB

Cover
Title Page
Copyright and Credits
Contributors
Note from Author
Table of Contents
Preface
Chapter 1: Introduction to MongoDB
	Who uses MongoDB?
	Why developers love MongoDB?
	Efficiency of the inherent complexity of MongoDB databases
		How is this possible?
	Summary
Chapter 2: The MongoDB Architecture
	Replication vs sharding
	Replication
		Replica set elections
		Replica set oplog
		Replica set deployment architectures
		Write concern
		Read preference
		Read concern
		Replication methods
	Sharding
		Why do you need sharding?
		Key elements of a sharded cluster
		Microsharding
		Advantages of sharding
		Data distribution
		Chunks
		Chunk administration
		Querying sharded data
		Sharding methods
	New sharded cluster features in MongoDB 7.0
		Shard key advisor commands
		AutoMerger
		Command support without shard keys
	Summary
Chapter 3: Developer Tools
	Technical requirements
	Introduction to developer tools
		Categories of developer tools
	MongoDB Shell
		Installation
		Connecting to a MongoDB deployment using mongosh
		mongosh vs legacy shell
		Key features of mongosh
		Use cases for mongosh
		Best practices for using mongosh
	MongoDB CLI
		Installation
		Configuration
		Working with MongoDB CLI
		mongocli auth
		Key features of MongoDB CLI
		Use cases for MongoDB CLI
		Best practices for MongoDB CLI
	MongoDB Compass
		Installation
		Configuration
		Visually explore data using Compass
		Key features of MongoDB Compass
		Use cases for MongoDB Compass
		Best practices for MongoDB Compass
	MongoDB for VS Code
		Installation
		Explore data using Playground
		Use Terraform to create an Atlas cluster
		Key features
		Use cases for the MongoDB for VS Code extension
		Best practices for the MongoDB for VS Code extension
	Summary
Chapter 4: Connecting to MongoDB
	Connecting methods
		Connecting using Ruby
		Connecting using Python
		Connecting using PHP
		Connecting using Node.js
		Connecting using TypeScript
	Summary
Chapter 5: CRUD Operations and Basic Queries
	Technical requirements
	MongoDB CRUD operations
		CRUD using mongosh
		Scripting for mongosh
		Batch inserts using mongosh
		Batch operations using mongosh
	CRUD using the Ruby driver
		Connecting to a database
		Creating documents
		Reading data
		Chaining operations in find()
		Nested operations
		Batch operations
		Mongoid ODM
	CRUD using the Python driver
		Inserting documents
		Finding documents
		Updating documents
		Deleting documents
	Regular expressions
	Administration
		currentOp() and killOp()
		collMod
	Secure access to MongoDB
		Authentication and authorization
	MongoDB Stable API
	Summary
Chapter 6: Schema Design and Data Modeling
	Schema design for relational databases
		Normal forms
	Schema design for MongoDB
	Data modeling in MongoDB
		Document structure
		Embedded data
		References
		Denormalization
		BSON and its data types
	Design considerations and best practices for MongoDB modeling
		Read-write ratio
	Design patterns and schema design
	Summary
Chapter 7: Advanced Querying in MongoDB
	Introduction to the aggregation framework
	Benefits of aggregation in MongoDB
	Aggregation stages
	Query Techniques
		Logical and comparison operators
		Array querying and manipulation
		Array field projection techniques
	Indexes and query optimization
		Benefits of using indexes
		Types of index
	Geospatial features in MongoDB
		GeoJSON objects
		Geospatial indexes
		Geospatial operators
	Summary
Chapter 8: Aggregation
	Technical requirements
	MongoDB aggregation framework
		Modularity and composability
		Stages
		Aggregation expressions
	Basic aggregation operators
		Bitwise operators in aggregation
		Array expression operators
		The \"power\" array operators: $map and $reduce
		Other types of aggregations
	Best practices
		Code modularity
		Query optimization
		Streaming and blocking stages of a pipeline
		Sharded cluster considerations
	Summary
Chapter 9: Multi-Document ACID Transactions
	Why are transactions useful?
	ACID properties
		Atomicity
		Consistency
		Isolation
		Durability
	MongoDB implementation of ACID
		Read and write concerns in transactions
		Transaction limitations
	Best practices
	Summary
Chapter 10: Index Optimization
	Introduction to indexes
		Creating an index
	Index types
		Single-field indexes and indexing embedded documents
		Compound indexes
		Multikey indexes
		Covered queries
		Hashed index
		Text indexes
		Atlas Search Indexes
		TTL indexes
		Partial indexes
		Geospatial indexes
		Wildcard indexes
		Hidden indexes
		Compound wildcard indexes
	Best practices for index optimization
	Summary
Chapter 11: MongoDB Atlas: Powering the Future of Developer Data Platforms
	Understanding MongoDB Atlas as a database-as-a-service
		Hosted database
		Secure by default
		Monitoring and alerting
		Back up, restore, and archive
		Automation
	Atlas developer data platform
	Atlas Vector Search and its role in AI applications
		What does vector search entail?
		What is Atlas Vector Search?
		Semantic search and vectors
		KNN, ANN, and vector embeddings
		How to use Atlas Vector Search
		Atlas Search
	Atlas Application Services
		What is Atlas Application Services?
		Key features
		How to use Atlas Application Services
	Atlas Data API
		Security and authorization
		Use cases
		How to use the Atlas Data API
	Atlas Data Lake
		Data storage and optimization
		How to use Atlas Data Lake
	Atlas Data Federation
		Data processing
		Key features
		How to use Atlas Data Federation
	Atlas Stream Processing (preview)
		Operational mechanism
		Key features
		Setting up a stream processor
	Atlas SQL Interface
		How to use the Atlas SQL Interface
	MongoDB Atlas Charts
		How to use Atlas Charts
	Operational integrations: The Atlas Kubernetes Operator
		What is the Atlas Kubernetes Operator?
		How to use the Atlas Kubernetes Operator
	Atlas CLI
		How to use the Atlas CLI
		Capabilities of the Atlas CLI
	Summary
Chapter 12: Monitoring and Backup in MongoDB
	Monitoring in MongoDB
		Monitoring clusters
		Why monitor in MongoDB?
	What should you monitor?
		Page fault
		Resident memory
		Virtual and mapped memory
		Working set
		Track free disk space
		Monitoring replication
		Oplog size
		Network monitoring
		Cursors and connections
		Document metrics
	Monitoring memory usage in WiredTiger
	Tracking page faults
		Tracking B-tree misses
		I/O wait
		Read and write queues
	Working set calculations
		Why is the working set crucial?
		Estimate the working set size
		Importance of indexes in the working set
	MongoDB reporting tools overview
		Utilities
		Commands
	Hosted monitoring tools overview
		Cluster backups
	MongoDB backup methods
		Cloud-based backup solutions
		On-premises backup solutions
		Using filesystem snapshots for MongoDB backups
		Consistency requirements
		Backups using mongodump
		Backing up with cp or rsync
		Backup and restore on EC2
		Backup with queues
		Incremental backups
	Common mistakes and pitfalls in MongoDB monitoring and backup
	Summary
Chapter 13: Introduction to Atlas Search
	MongoDB Atlas Search
		Feature overview
		Version requirements for Atlas Search features
		Atlas Search architecture
	Technical overview of Atlas Search indexes
		Index creation and management
		Atlas Search queries
		Atlas Search query operators and collectors
		Query execution in Atlas Search
		Relevance scoring in Atlas Search
		Atlas Search Nodes
		Atlas Search index management
		Search query analysis
		Troubleshooting Atlas Search errors
	Apache Lucene
		Apache Software Foundation
		Atlas Search and integration with Apache Lucene
	Summary
Chapter 14: Integrating Applications with MongoDB
	Technical requirements
	Integrating applications in MongoDB
	The MongoDB Kubernetes Operator
		Installation
		Deploy and configure MongoDB using the Kubernetes Operator
		The Atlas Kubernetes Operator
		The Enterprise Kubernetes Operator
	Integrating Terraform with MongoDB
		Installation
		Configuring a MongoDB cluster on Atlas using Terraform
	Using Vercel with MongoDB
		Building a web application with Vercel and MongoDB
		Configuring MongoDB Atlas with Vercel
		Disconnecting the Vercel integration
	Integrating Datadog with MongoDB
		Configuring Datadog
		Integrating MongoDB Atlas with Datadog
	Integrating Prometheus with MongoDB
		Configuring Prometheus
		Integrating MongoDB Atlas with Prometheus
	Integrating webhooks with MongoDB
		Configuring webhooks with MongoDB
		Integrating MongoDB with alerting applications
		Atlas integrations for webhooks
		Microsoft Teams integration
	PagerDuty integration
		Slack integration
		Splunk On-Call integration
		Opsgenie integration
		Integrating MongoDB with Confluent
		Integrating MongoDB with Postman
	Summary
Chapter 15: Security
	Authentication methods
		SCRAM
		x.509
		LDAP
		Kerberos
	Role-based access control (RBAC)
		Knowing about resources, actions, and roles
		Role hierarchy
		Managing roles
		Access restrictions
	Summary
Chapter 16: Auditing
	Auditing and logging in MongoDB
	Types of auditable events
	Enable auditing in MongoDB
		Audit filters
		Enable auditing in MongoDB Atlas
		View and download MongoDB logs
	Case study: The role of auditing in compliance
	Troubleshoot auditing issues in MongoDB
		How to identify and address issues in auditing using MongoDB
		Tools for MongoDB audit record analysis
	Summary
Chapter 17: Encryption
	Encryption types
		Certificates
	Encryption in-transit
		How it works
		Configure TLS for MongoDB
	Encryption at rest
		Encryption at rest in MongoDB
		Configure encryption at rest for MongoDB
	Client-side encryption
		When is CSFLE used
		How it works
		Configure MongoDB
		Restrictions and considerations
		Queryable Encryption
	Summary
Index
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