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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
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Juned Ahsan
Liviu Nedov Liviu Nedov
Author Profile Icon Liviu Nedov
Liviu Nedov
Amit Phaltankar Amit Phaltankar
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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

aggregate Is the New find

The aggregate command in MongoDB is similar to the find command. You can provide the criteria for your query in the form of JSON documents, and it outputs a cursor containing the search result. Sounds simple, right? That's because it is. Although aggregations can become very large and complex, at their core, they are relatively simple.

The key element in aggregation is called the pipeline. We will cover it in detail shortly, but at a high level, a pipeline is a series of instructions, where the input to each instruction is the output of the previous one. Simply put, aggregation is a method for taking a collection and, in a procedural way, filtering, transforming, and joining data from other collections to create new, meaningful datasets.

Aggregate Syntax

The aggregate command operates on a collection like the other Create, Read, Update, Delete (CRUD) commands, like so:

use sample_mflix;
var pipeline = [] // The pipeline is an array of stages...
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