Book Image

MongoDB Cookbook - Second Edition - Second Edition

By : Amol Nayak
Book Image

MongoDB Cookbook - Second Edition - Second Edition

By: Amol Nayak

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 – it’s easy to see why it’s the most popular NoSQL database on the market. Packed with many features that have become essential for many different types of software professionals and incredibly easy to use, this cookbook contains many solutions to the everyday challenges of MongoDB, as well as guidance on effective techniques to extend your skills and capabilities. This book starts with how to initialize the server in three different modes with various configurations. You will then be introduced to programming language drivers in both Java and Python. A new feature in MongoDB 3 is that you can connect to a single node using Python, set to make MongoDB even more popular with anyone working with Python. You will then learn a range of further topics including advanced query operations, monitoring and backup using MMS, as well as some very useful administration recipes including SCRAM-SHA-1 Authentication. Beyond that, you will also find recipes on cloud deployment, including guidance on how to work with Docker containers alongside MongoDB, integrating the database with Hadoop, and tips for improving developer productivity. Created as both an accessible tutorial and an easy to use resource, on hand whenever you need to solve a problem, MongoDB Cookbook will help you handle everything from administration to automation with MongoDB more effectively than ever before.
Table of Contents (17 chapters)
MongoDB Cookbook Second Edition
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Index

Viewing collection stats


Perhaps one of the interesting statistics from an administrative purpose when it comes to the usage of storage, the number of documents in collection possibly to estimate the future space, and memory requirements based on the growth of the data is to get a high level statistics of the collection.

Getting ready

To find the stats of the collection we need to have a server up and running and a single node is what should be okay. Refer to the Installing single node MongoDB in Chapter 1, Installing and Starting the Server for information on how to start the server. The data on which we would be operating needs to be imported in the database. The steps to import the data are given in the recipe Creating Test Data in Chapter 2, Command-line Operations and Indexes. Once these steps are completed, we are all set to go ahead with this recipe.

How to do it…

  1. We would be using postalCodes collection for viewing the stats.

  2. Open the mongo shell and connect to the running MongoDB instance...