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MongoDB Fundamentals

You're reading from   MongoDB Fundamentals A hands-on guide to using MongoDB and Atlas in the real world

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Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781839210648
Length 748 pages
Edition 1st Edition
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Authors (4):
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Juned Ahsan Juned Ahsan
Author Profile Icon Juned Ahsan
Juned Ahsan
Liviu Nedov Liviu Nedov
Author Profile Icon Liviu Nedov
Liviu Nedov
Amit Phaltankar Amit Phaltankar
Author Profile Icon Amit Phaltankar
Amit Phaltankar
Michael Harrison Michael Harrison
Author Profile Icon Michael Harrison
Michael Harrison
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Toc

Table of Contents (15) Chapters Close

Preface
1. Introduction to MongoDB 2. Documents and Data Types FREE CHAPTER 3. Servers and Clients 4. Querying Documents 5. Inserting, Updating, and Deleting Documents 6. Updating with Aggregation Pipelines and Arrays 7. Data Aggregation 8. Coding JavaScript in MongoDB 9. Performance 10. Replication 11. Backup and Restore in MongoDB 12. Data Visualization 13. MongoDB Case Study Appendix

Hiding and Dropping Indexes

Dropping an index means removing the values of the fields from the index registry. Thus, any searches on the related fields will be performed in a linear fashion, provided there are no other indexes present on the field.

It is important to note that MongoDB does not allow updating an existing index. Thus, to fix an incorrectly created index, we need to drop it and recreate it correctly.

An index is deleted using the dropIndex function. It takes a single parameter, which can either be the index name or the index specification document, as follows:

db.collection.dropIndex(indexNameOrSpecification)

The index specification document is the definition of the index that is used to create it (like the following snippet, for example):

db.movies.createIndex(
    {title: 1}
)

Consider the following snippet:

db.movies.dropIndex(
     {title: 1}
)

This command drops the index on the title field of the movies...

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