Book Image

Mastering MongoDB 3.x

By : Alex Giamas
Book Image

Mastering MongoDB 3.x

By: Alex Giamas

Overview of this book

MongoDB has grown to become the de facto NoSQL database with millions of users—from small startups to Fortune 500 companies. Addressing the limitations of SQL schema-based databases, MongoDB pioneered a shift of focus for DevOps and offered sharding and replication maintainable by DevOps teams. The book is based on MongoDB 3.x and covers topics ranging from database querying using the shell, built in drivers, and popular ODM mappers to more advanced topics such as sharding, high availability, and integration with big data sources. You will get an overview of MongoDB and how to play to its strengths, with relevant use cases. After that, you will learn how to query MongoDB effectively and make use of indexes as much as possible. The next part deals with the administration of MongoDB installations on-premise or in the cloud. We deal with database internals in the next section, explaining storage systems and how they can affect performance. The last section of this book deals with replication and MongoDB scaling, along with integration with heterogeneous data sources. By the end this book, you will be equipped with all the required industry skills and knowledge to become a certified MongoDB developer and administrator.

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Mastering MongoDB 3.x
Alex Giamas
Nov, 2017 | 342 pages
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Table of Contents (13 chapters)
Preface
Preface
What this book covers
What you need for this book
Who this book is for
Conventions
Reader feedback
Customer support
Free Chapter
1
MongoDB – A Database for the Modern Web
MongoDB – A Database for the Modern Web
Web history
SQL and NoSQL evolution
MongoDB key characteristics and use cases
MongoDB configuration and best practices
Reference documentation
Summary
2
Schema Design and Data Modeling
Schema Design and Data Modeling
Relational schema design
Summary
3
MongoDB CRUD Operations
MongoDB CRUD Operations
CRUD using the shell
Summary
4
Advanced Querying
Advanced Querying
MongoDB CRUD operations
Summary
5
Aggregation
Aggregation
Why aggregation?
Aggregation operators
Limitations
Aggregation use case
Summary
6
Indexing
Indexing
Index internals
References
Summary
7
Monitoring, Backup, and Security
Monitoring, Backup, and Security
Monitoring
Backups
Security
Summary
8
Storage Engines
Storage Engines
Pluggable storage engines
Locking in MongoDB
References
Summary
9
Harnessing Big Data with MongoDB
Harnessing Big Data with MongoDB
What is big data?
Big data use case
References
Summary
10
Replication
Replication
Replication
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
11
Sharding
Sharding
Advantages of sharding
Architectural overview
Sharding setup
Sharding administration and monitoring
Querying sharded data
Sharding recovery
References
Summary
12
Fault Tolerance and High Availability
Fault Tolerance and High Availability
Application design
Operations
Security
References
Summary

Replication

Replication has been one of the most useful features of MongoDB since the very early days. In general, replication refers to the process of synchronizing data across different servers.

The upsides for replication:

  • Protect from data loss
  • High availability of data
  • Disaster recovery
  • Avoiding downtime for maintenance
  • Scaling reads since we can read from multiple servers
  • Scaling writes (only if we can write to multiple servers)

In this chapter, we will also discuss cluster operations on a replica set. Administration tasks such as maintenance, resyncing a member, changing the oplog size, reconfiguring a member, and chained replication will be covered later in this chapter.

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