Book Image

MongoDB Administrator???s Guide

By : Cyrus Dasadia
Book Image

MongoDB Administrator???s Guide

By: Cyrus Dasadia

Overview of this book

MongoDB is a high-performance and feature-rich NoSQL database that forms the backbone of the systems that power many different organizations. Packed with many features that have become essential for many different types of software professional and incredibly easy to use, this cookbook contains more than 100 recipes to address the everyday challenges of working with MongoDB. Starting with database configuration, you will understand the indexing aspects of MongoDB. The book also includes practical recipes on how you can optimize your database query performance, perform diagnostics, and query debugging. You will also learn how to implement the core administration tasks required for high-availability and scalability, achieved through replica sets and sharding, respectively. You will also implement server security concepts such as authentication, user management, role-based access models, and TLS configuration. You will also learn how to back up and recover your database efficiently and monitor server performance. By the end of this book, you will have all the information you need—along with tips, tricks, and best practices—to implement a high-performance MongoDB solution.
Table of Contents (17 chapters)
Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

Configuring disks for better I/O


In this recipe, we will be looking at the importance of provisioning your servers for better disk I/O.

Reading and writing from disks

Apart from CPU and memory (RAM), MongoDB, like most database applications, relies heavily on disk operations.

To better understand this dependency, let's look at a very simple example of reading data from a file. Suppose you have a file that contains a few thousand lines, each containing a set of strings in no particular order. If one were to write a program that is used to search a particular string, it would need to open the file, iterate through each line, and search the string. Once the string is found, the program closes the file. As disks are usually much slower than RAM, this approach of opening a file, reading, and closing it on every query, is suboptimal.

To circumvent this, Linux (and most modern operating systems) rely heavily on the cache buffer. The operating system kernel uses this cache to store chunks of data, in...