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MongoDB Cookbook - Second Edition

You're reading from   MongoDB Cookbook - Second Edition Modern Database Management Made Easy

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Product type Paperback
Published in Jan 2016
Publisher
ISBN-13 9781785289989
Length 370 pages
Edition 2nd Edition
Tools
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Authors (2):
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Amol Nayak Amol Nayak
Author Profile Icon Amol Nayak
Amol Nayak
Cyrus Dasadia Cyrus Dasadia
Author Profile Icon Cyrus Dasadia
Cyrus Dasadia
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Toc

Table of Contents (12) Chapters Close

Preface 1. Installing and Starting the Server 2. Command-line Operations and Indexes FREE CHAPTER 3. Programming Language Drivers 4. Administration 5. Advanced Operations 6. Monitoring and Backups 7. Deploying MongoDB on the Cloud 8. Integration with Hadoop 9. Open Source and Proprietary Tools A. Concepts for Reference Index

Spherical indexes and GeoJSON compliant data in Mongo


Before we continue with this recipe, we need to look at the previous recipe Flat plane 2D geospatial queries in Mongo using geospatial indexes to get an understanding of what geospatial indexes are in MongoDB and how to use the 2D indexes. So far, we have imported the JSON documents in a non-standard format in MongoDB collection, created geospatial indexes, and queried them it. This approach works perfectly fine and in fact, it was the only option available until MongoDB 2.4. version 2.4 of MongoDB supports an additional way to store, index, and query the documents in the collections. There is a standard way to represent geospatial data particularly meant for geodata exchange in JSON and the specification of GeoJSON mentions it in detail in the following link: http://geojson.org/geojson-spec.html. We can now store the data in this format.

There are various geographic figure types supported by this specification. However, for our use case...

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