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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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 Dasadia Dasadia
Author Profile Icon Dasadia
Dasadia
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Toc

Table of Contents (17) Chapters Close

Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
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 a partial index


Partial indexes were introduced recently, in MongoDB Version 3.2. A partial index is slightly similar to sparse index but with the added advantage of being able to use expressions ($eq, $gt, and so on) and operators ($and).

Getting ready

For this recipe, load the sample dataset and create an index on the city field, as described in the Creating an index recipe.

How to do it...

  1. Check the total number of documents in our collection and number of documents without the language field:
db.mockdata.count()

The preceding command should return 100000:

db.mockdata.find({language: {$eq:null}}).count()

The preceding command should return 12704.

  1. Create a sparse index on the document:
> db.mockdata.createIndex(
 {first_name:1},
 {partialFilterExpression: { language: {$exists: true}}}
)

This should give you output similar to this:

{
    "createdCollectionAutomatically" : false,
    "numIndexesBefore" : 1,
    "numIndexesAfter" : 2,
    "ok" : 1
}
  1. Confirm that the index was created:
db.mockdata...
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