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

Using the mongoexport tool


In this recipe, we will be looking at mongoexport, a utility provided to export MongoDB data in JSON and CSV format.

Getting ready

You need a single node MongoDB installation, preferably with some data in it. Refer to the recipe Creating an index in Chapter 2, Understanding and Managing Indexes, for instructions on how to import sample data into a MongoDB instance.

How to do it...

  1. Execute the mongoexport utility with the following options:
mongoexport -d mydb -c mockdata --fields first_name,last_name,language --query '{language: "English"}' --type csv > my_data.csv
  1. Your output should be similar to this:
2017-10-04T16:15:51.939+0000 connected to: localhost
2017-10-04T16:15:51.981+0000 exported 866 records
  1. Examine the contents file my_data.csv:
first_name,last_name,language
Gareth,Mott,English
Pace,Goodram,English
Valaree,Dickinson,English
Nickola,Messer,English
Ellene,Wardlaw,English
Caryn,Petruk,English
Alta,Major,English
Sonya,Ritchman,English
Howie,MacHostie,English...