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Practical MongoDB Aggregations

Practical MongoDB Aggregations

By : Paul Done
5 (17)
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Practical MongoDB Aggregations

Practical MongoDB Aggregations

5 (17)
By: Paul Done

Overview of this book

Officially endorsed by MongoDB, Inc., Practical MongoDB Aggregations helps you unlock the full potential of the MongoDB aggregation framework, including the latest features of MongoDB 7.0. This book provides practical, easy-to-digest principles and approaches for increasing your effectiveness in developing aggregation pipelines, supported by examples for building pipelines to solve complex data manipulation and analytical tasks. This book is customized for developers, architects, data analysts, data engineers, and data scientists with some familiarity with the aggregation framework. It begins by explaining the framework's architecture and then shows you how to build pipelines optimized for productivity and scale. Given the critical role arrays play in MongoDB's document model, the book delves into best practices for optimally manipulating arrays. The latter part of the book equips you with examples to solve common data processing challenges so you can apply the lessons you've learned to practical situations. By the end of this MongoDB book, you’ll have learned how to utilize the MongoDB aggregation framework to streamline your data analysis and manipulation processes effectively.
Table of Contents (20 chapters)
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2
Part 1: Guiding Tips and Principles
7
Part 2: Aggregations by Example
16
Afterword

Distinct list of values

A common requirement in the user interface of an application is to provide a drop-down picklist of possible values in an input field of a form ready for the application user to select one of the values. Here, you will learn how to populate a list of unique values ready for use in a drop-down widget.

Scenario

You want to query a collection of people where each document contains data on one or more languages spoken by the person. The query result should be an alphabetically sorted list of unique languages that a developer can subsequently use to populate a list of values in a user interface's drop-down widget.

This example is the equivalent of a SELECT DISTINCT statement in SQL.

Populating the sample data

Drop any old versions of the database (if they exist) and then populate a new persons collection. Each person document includes the person's first name, last name, vocation, and spoken languages:

db = db.getSiblingDB("book-distinct...

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