book

Practical MongoDB Aggregations

Name: Practical MongoDB Aggregations
Author: Paul Done
ISBN: 9781835080641

by Paul Done

September 2023

Intermediate to advanced

312 pages

5h 38m

English

Packt Publishing

Read now

Unlock full access

First edition
Acknowledgements
Foreword
Preface
How will this book help you?Who this book is forWhat this book coversTo get the most out of this bookDownload the example code filesConventions usedGet in touchDownload a free PDF copy of this book
Chapter 1: MongoDB Aggregations Explained
What is the MongoDB aggregation framework?What is the MongoDB aggregation language?What do developers use the aggregation framework for?A short history of MongoDB aggregationsAggregation capabilities in MongoDB server releasesGetting goingSetting up your environmentDatabaseClient toolGetting further helpSummary
Part 1: Guiding Tips and Principles
Chapter 2: Optimizing Pipelines for Productivity
Embrace composability for increased productivityGuiding principles to promote composabilityUsing macro functionsSo, what's the best way of factoring out code?Better alternatives for a projection stageWhen to use $set and $unsetWhen to use $projectThe hidden danger of $projectKey projection takeawaysSummary
Chapter 3: Optimizing Pipelines for Performance
Using explain plans to identify performance bottlenecksViewing an explain planUnderstanding the explain planGuidance for optimizing pipeline performanceBe cognizant of streaming vs blocking stages orderingAvoid unwinding and regrouping documents just to process each array's elementsEncourage match filters to appear early in the pipelineSummary
Chapter 4: Harnessing the Power of Expressions
Aggregation expressions explainedWhat do expressions produce?Chaining operator expressions togetherCan all stages use expressions?What is using $expr inside $match all about?Restrictions when using expressions within $matchAdvanced use of expressions for array processingif-else conditional comparisonThe power array operatorsfor-each looping to transform an arrayfor-each looping to compute a summary value from an arrayfor-each looping to locate an array elementReproducing $map behavior using $reduceAdding new fields to existing objects in an arrayRudimentary schema reflection using arraysSummary
Chapter 5: Optimizing Pipelines for Sharded Clusters
A brief summary of MongoDB sharded clustersSharding implications for pipelinesSharded aggregation constraintsWhere does a sharded aggregation run?Pipeline splitting at runtimeExecution of the split pipeline shardsExecution of the merger part of the split pipelineDifference in merging behavior for grouping versus sortingPerformance tips for sharded aggregationsSummary

Part 2: Aggregations by Example
Chapter 6: Foundational Examples: Filtering, Grouping, and Unwinding
Filtered top subsetScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultsPipeline observationsGroup and totalScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsUnpack arrays and group differentlyScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultsPipeline observationsDistinct list of valuesScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsSummary
Chapter 7: Joining Data Examples
One-to-one joinScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsMulti-field join and one-to-manyScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsSummary
Chapter 8: Fixing and Generating Data Examples
Strongly typed conversionScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsConverting incomplete date stringsScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsGenerating mock test dataScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsSummary
Chapter 9: Trend Analysis Examples
Faceted classificationScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsLargest graph networkScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsIncremental analyticsScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsSummary
Chapter 10: Securing Data Examples
Redacted viewScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsMask sensitive fieldsScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsRole programmatic restricted viewScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsSummary
Chapter 11: Time-Series Examples
IoT power consumptionScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsState change boundariesScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsSummary
Chapter 12: Array Manipulation Examples
Summarizing arrays for first, last, minimum, maximum, and average valuesScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsPivoting array items by a keyScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsArray sorting and percentilesScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsArray element groupingScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsArray fields joiningScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsComparison of two arraysScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsJagged array condensingScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsSummary
Chapter 13: Full-Text Search Examples
What is Atlas Search?Compound text search criteriaScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsFacets and counts text searchScenarioPopulating the sample dataDefining the aggregation pipelineExecuting the aggregation pipelineExpected pipeline resultPipeline observationsSummary
Appendix
Create an Atlas Search index
Afterword
Index
Why subscribe?
Other books you may enjoyPackt is searching for authors like youDownload a free PDF copy of this book

Content preview from Practical MongoDB Aggregations

Part 2: Aggregations by Example

The following set of chapters provides examples to solve common data manipulation challenges grouped by different data processing requirements. The best way to use these examples is to try them out yourself as you read each example (see the Getting going section in Chapter 1, MongoDB Aggregations Explained, for advice on how to execute these examples). See the Download the example code files section in the Preface for how to obtain a copy of the code for these examples.

This part of the book includes the following chapters:

Chapter 6, Foundational Examples: Filtering, Grouping, and Unwinding
Chapter 7, Joining Data Examples
Chapter 8, Fixing and Generating Data Examples
Chapter 9, Trend Analysis Examples ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.

Julian F.

Head of Cybersecurity

I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.

Addison B.

Field Engineer

I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.

Amir M.

Data Platform Tech Lead

I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.

Mark W.

Embedded Software Engineer

Publisher Resources

ISBN: 9781835080641

Cloud Computing

Data Engineering

Data Science

AI & ML

Programming Languages

Software Architecture

IT/Ops

Security

Design

Business

Soft Skills

Practical MongoDB Aggregations

by Paul Done

Part 2: Aggregations by Example

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.