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MongoDB Administrator???s Guide

You're reading from   MongoDB Administrator???s Guide Over 100 practical recipes to efficiently maintain and administer your MongoDB solution

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Product type Paperback
Published in Oct 2017
Publisher Packt
ISBN-13 9781787126480
Length 226 pages
Edition 1st Edition
Tools
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Author (1):
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Cyrus Dasadia Cyrus Dasadia
Author Profile Icon Cyrus Dasadia
Cyrus Dasadia
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Toc

Table of Contents (11) Chapters Close

Preface 1. Installation and Configuration FREE CHAPTER 2. Understanding and Managing Indexes 3. Performance Tuning 4. High Availability with Replication 5. High Scalability with Sharding 6. Managing MongoDB Backups 7. Restoring MongoDB from Backups 8. Monitoring MongoDB 9. Authentication and Security in MongoDB 10. Deploying MongoDB in Production

Creating an index


In this recipe, we will be using a fairly large dataset and add it into MongoDB. Then we will examine how a query executes in this dataset with and without an index.

Getting ready

Assuming that you are already running a MongoDB server, we will be importing a dataset of around 100,000 records available in the form of a CSV file called chapter_2_mock_data.csv. You can download this file from the Packt website.

  1. Import the sample data to the MongoDB server:
$mongoimport --headerline --ignoreBlanks --type=csv -d mydb -c mockdata -h localhost chapter_2_mock_data.csv

You should see output like this:

2017-06-18T08:25:08.444+0530    connected to: localhost
2017-06-18T08:25:09.498+0530 imported 100000 documents
  1. Connect to the MongoDB instance and open a mongo shell:
mongo localhost:27017
  1. Check that the documents are in the right place:
use mydb
db.mockdata.count()

You should see the following result:

105000
  1. Let's fetch a document with the explain() method:
> db.mockdata.find({city:'Singapore...
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