Book Image

Mastering MongoDB 4.x - Second Edition

By : Alex Giamas
Book Image

Mastering MongoDB 4.x - Second Edition

By: Alex Giamas

Overview of this book

MongoDB is the best platform for working with non-relational data and is considered to be the smartest tool for organizing data in line with business needs. The recently released MongoDB 4.x supports ACID transactions and makes the technology an asset for enterprises across the IT and fintech sectors. This book provides expertise in advanced and niche areas of managing databases (such as modeling and querying databases) along with various administration techniques in MongoDB, thereby helping you become a successful MongoDB expert. The book helps you understand how the newly added capabilities function with the help of some interesting examples and large datasets. You will dive deeper into niche areas such as high-performance configurations, optimizing SQL statements, configuring large-scale sharded clusters, and many more. You will also master best practices in overcoming database failover, and master recovery and backup procedures for database security. By the end of the book, you will have gained a practical understanding of administering database applications both on premises and on the cloud; you will also be able to scale database applications across all servers.

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Mastering MongoDB 4.x - Second Edition
Alex Giamas
Mar, 2019 | 394 pages
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Table of Contents (20 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
Section 1: Basic MongoDB – Design Goals and Architecture
Section 1: Basic MongoDB – Design Goals and Architecture
2
MongoDB – A Database for Modern Web
MongoDB – A Database for Modern Web
Technical requirements
The evolution of SQL and NoSQL
MongoDB's key characteristics and use cases
MongoDB configuration and best practices
Reference documentation
Further reading
Summary
3
Schema Design and Data Modeling
Schema Design and Data Modeling
Relational schema design
Data modeling
Modeling data for atomic operations
Modeling relationships
Modeling data for keyword searches
Connecting to MongoDB
Summary
4
Section 2: Querying Effectively
Section 2: Querying Effectively
5
MongoDB CRUD Operations
MongoDB CRUD Operations
CRUD using the shell
Summary
6
Advanced Querying
Advanced Querying
MongoDB CRUD operations
Change streams
Summary
7
Multi-Document ACID Transactions
Multi-Document ACID Transactions
Background
ACID
E-commerce using MongoDB
Summary
8
Aggregation
Aggregation
Why aggregation?
Aggregation operators
Limitations
Aggregation use case
Summary
9
Indexing
Indexing
Index internals
Further reading
Summary
10
Section 3: Administration and Data Management
Section 3: Administration and Data Management
11
Monitoring, Backup, and Security
Monitoring, Backup, and Security
Monitoring
Backups
Security
Summary
12
Storage Engines
Storage Engines
Pluggable storage engines
Locking in MongoDB
Further reading
Summary
13
MongoDB Tooling
MongoDB Tooling
Introduction
An introduction to Kubernetes
Summary
14
Harnessing Big Data with MongoDB
Harnessing Big Data with MongoDB
What is big data?
A big data use case
Further reading
Summary
15
Section 4: Scaling and High Availability
Section 4: Scaling and High Availability
16
Replication
Replication
Replication
An architectural overview
How do elections work?
What is the use case for a replica set?
Setting up a replica set
Connecting to a replica set
Replica set administration
Cloud options for a replica set
Replica set limitations
Summary
17
Sharding
Sharding
Why do we use sharding?
Architectural overview
Sharding setup
Sharding administration and monitoring
Querying sharded data
Sharding recovery
Further reading
Summary
18
Fault Tolerance and High Availability
Fault Tolerance and High Availability
Application design
Operations
Security
Further reading
Summary
19
Other Books You May Enjoy
Other Books You May Enjoy
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Backups

A quote from a well-known maxim is as follows:

"Hope for the best, plan for the worst."
– John Jay (1813)

This should be our approach when designing our backup strategy for MongoDB. There are several distinct failure events that can happen.

Backups should be the cornerstone of our disaster recovery strategy, in case something happens. Some developers may rely on replication for disaster recovery, as it seems that having three copies of our data is more than enough. We can always rebuild the cluster from the other two copies, in case one of the copies is lost.

This is the case in the event of disks failing. Disk failure is one of the most common failures in a production cluster, and will statistically happen once the disks start reaching their mean time...

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