Book Image

MongoDB Cookbook

By : Amol Nayak
Book Image

MongoDB Cookbook

By: Amol Nayak

Overview of this book

<p>MongoDB is a high-performance and feature-rich NoSQL database that forms the backbone of numerous complex development systems. You will certainly find the MongoDB solution you are searching for in this book.</p> <p>Starting with how to initialize the server in three different modes with various configurations, you will then learn a variety of skills including the basics of advanced query operations and features in MongoDB and monitoring and backup using MMS. From there, you can delve into recipes on cloud deployment, integration with Hadoop, and improving developer productivity. By the end of this book, you will have a clear idea about how to design, develop, and deploy MongoDB.</p>
Table of Contents (17 chapters)
MongoDB Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Index

Executing flat plane (2D) geospatial queries in Mongo using geospatial indexes


In this recipe, we will see what geospatial queries are and then see how to apply these queries on flat planes. We will put it to use in a test map application.

Geospatial queries can be executed on data in which geospatial indexes are created. There are two types of geospatial indexes. The first one, called 2D indexes, is the simpler of the two. It assumes that the data is given as x,y coordinates. The second one. called 3D or spherical indexes, is relatively more complicated. In this recipe, we will explore 2D indexes and execute some queries on 2D data. The data on which we are going to work is a 25 X 25 grid with some coordinates representing bus stops, restaurants, hospitals, and gardens.

Getting ready

Refer to the Connecting to a single node from a Java client recipe from Chapter 1, Installing and Starting the MongoDB Server, for all the necessary setup for this recipe. Download the data file named 2dMapLegacyData...