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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

Regular Expressions

In a real-world movie service, you will want to provide auto-completion search boxes where, as soon as the user types in a few characters of the movie title, the search box suggests all the movies whose titles match the character sequence typed in. This is implemented using regular expressions. A regular expression is a special string that defines a character pattern. When such a regular expression is used to find string fields, all the strings that have the matching pattern are found and returned.

In MongoDB queries, regular expressions can be used with the $regex operator. Imagine you have typed the word Opera into the search box and want to find all the movies whose titles contain this character pattern. The regular expression query for this will be as follows:

db.movies.find(
    {"title" : {$regex :"Opera"}}
)

Upon executing this query and using projection to print only the titles, the result will appear as follows...

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