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Mastering MongoDB 3.x

You're reading from Mastering MongoDB 3.x An expert's guide to building fault-tolerant MongoDB applications

Product type Paperback

Published in Nov 2017

Publisher Packt

ISBN-13 9781783982608

Length 342 pages

Edition 1st Edition

Languages

Java

Tools

Hadoop

Concepts

Databases

Author (1):

Alex Giamas

View More author details

Table of Contents (13) Chapters

Preface

1. MongoDB – A Database for the Modern Web FREE CHAPTER

2. Schema Design and Data Modeling

3. MongoDB CRUD Operations

4. Advanced Querying

5. Aggregation

6. Indexing

7. Monitoring, Backup, and Security

8. Storage Engines

9. Harnessing Big Data with MongoDB

10. Replication

11. Sharding

12. Fault Tolerance and High Availability

Sharding recovery

In this section, we will explore different failure types and how we can recover in a sharded environment.

Mongos

mongos is a relatively lightweight process that holds no state. In the case that the process fails we can just restart it or spin up a new process in a different server. It's recommended that mongos processes co-locate in the same server as our application and so it makes sense to connect from our application using the set of mongos servers that we have co-located in our application servers to ensure high availability of mongos processes.

Mongod process

...

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Authors (1)

Alex Giamas

Alex Giamas

Alex Giamas is a freelance consultant and a hands-on Lead Technical and Data Architect. Over the past 15 years, he has expertise in designing and developing systems for the UK Government (HMRC, Cabinet Office, DIT) and private sector (Amazon ProServe, PwC, Fintech Fortune 500, Yahoo!, Verizon) clients. Alex is an alumnus of the MassChallenge London cohort as the co-founder and CTO of a digital health startup. Alex has authored Mastering MongoDB 3.x and 4.x, both by Packt Publishing. Alex has developed large-scale robust, distributed software systems in Python, JavaScript, Ruby, and Java. He is a MongoDB Certified Developer, a Cloudera Hadoop Certified Developer with Data Science Essentials, and a Carnegie Mellon and Stanford graduate.

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