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

Creating background indexes


In the previous recipes, whenever we've created indexes, it has always been in the foreground that is, the database server blocks all changes to the database until the index creation is completed. This is definitely not suitable for larger datasets where index creation time can take a few seconds which could be application errors.

Getting ready

Load the sample dataset, as shown in the Creating an index recipe.

How to do it...

  1. Remove all indexes:
 > db.mockdata.dropIndexes()

{
     "nIndexesWas" : 2,
     "msg" : "non-_id indexes dropped for collection",
     "ok" : 1
 }
  1. Add some additional data to increase the size of our collection. Run the following command string in your Terminal window:
 for x in $(seq 20); do mongoimport --headerline --type=csv -d mydb -c mockdata -h localhost chapter_2_mock_data.csv;done
  1. Open two mongo shells, we will create an index in one while we do an insert query in another. Ensure you've selected mydb by executing the command use mydb...