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MongoDB Fundamentals

You're reading from  MongoDB Fundamentals

Product type Book
Published in Dec 2020
Publisher Packt
ISBN-13 9781839210648
Pages 748 pages
Edition 1st Edition
Languages
Concepts
Authors (4):
Amit Phaltankar Amit Phaltankar
Profile icon Amit Phaltankar
Juned Ahsan Juned Ahsan
Profile icon Juned Ahsan
Michael Harrison Michael Harrison
Profile icon Michael Harrison
Liviu Nedov Liviu Nedov
Profile icon Liviu Nedov
View More author details

Table of Contents (15) Chapters

Preface
1. Introduction to MongoDB 2. Documents and Data Types 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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