Practical MongoDB Aggregations: The official guide to developing optimal aggregation pipelines with MongoDB 7.0

Оглавление⌄
Cover Page....2 Table of Contents....3 Preface....4 Chapter 1: MongoDB Aggregations Explained....12 What is the MongoDB aggregation framework?....12 What is the MongoDB aggregation language?....14 What do developers use the aggregation framework for?....16 A short history of MongoDB aggregations....18 Getting going....21 Getting further help....26 Summary....27 Part 1: Guiding Tips and Principles....29 Chapter 2: Optimizing Pipelines for Productivity....30 Embrace composability for increased productivity....30 Better alternatives for a projection stage....36 Summary....43 Chapter 3: Optimizing Pipelines for Performance....44 Using explain plans to identify performance bottlenecks....44 Guidance for optimizing pipeline performance....51 Summary....64 Chapter 4: Harnessing the Power of Expressions....65 Aggregation expressions explained....65 What do expressions produce?....68 Can all stages use expressions?....70 Advanced use of expressions for array processing....73 Summary....96 Chapter 5: Optimizing Pipelines for Sharded Clusters....98 A brief summary of MongoDB sharded clusters....98 Sharding implications for pipelines....100 Where does a sharded aggregation run?....101 Performance tips for sharded aggregations....110 Summary....111 Part 2: Aggregations by Example....113 Chapter 6: Foundational Examples: Filtering, Grouping, and Unwinding....114 Filtered top subset....114 Group and total....119 Unpack arrays and group differently....124 Distinct list of values....129 Summary....133 Chapter 7: Joining Data Examples....134 One-to-one join....134 Multi-field join and one-to-many....139 Summary....145 Chapter 8: Fixing and Generating Data Examples....146 Strongly typed conversion....146 Converting incomplete date strings....151 Generating mock test data....158 Summary....165 Chapter 9: Trend Analysis Examples....167 Faceted classification....167 Largest graph network....176 Incremental analytics....180 Summary....188 Chapter 10: Securing Data Examples....189 Redacted view....189 Mask sensitive fields....197 Role programmatic restricted view....204 Summary....213 Chapter 11: Time-Series Examples....214 IoT power consumption....214 State change boundaries....224 Summary....232 Chapter 12: Array Manipulation Examples....233 Summarizing arrays for first, last, minimum, maximum, and average values....233 Pivoting array items by a key....238 Array sorting and percentiles....243 Array element grouping....252 Array fields joining....259 Comparison of two arrays....263 Jagged array condensing....272 Summary....279 Chapter 13: Full-Text Search Examples....280 What is Atlas Search?....280 Compound text search criteria....281 Facets and counts text search....287 Summary....294 Afterword....295 Index....296 Why subscribe?....301 Other books you may enjoy....303 Packt is searching for authors like you....304 Download a free PDF copy of this book....304 Appendix....306
Описание
В этом материале разберём тему: data.
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.
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. Given the critical role arrays play in MongoDB's document model, the book delves into best practices for optimally manipulating arrays. 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.
What you will learnDevelop dynamic aggregation pipelines tailored to changing business requirementsMaster essential techniques to optimize aggregation pipelines for rapid data processingAchieve optimal efficiency for applying aggregations to vast datasets with effective sharding strategiesEliminate the performance penalties of processing data externally by filtering, grouping, and calculating aggregated values directly within the databaseUse pipelines to help you secure your data access and distributionWho this book is forThis book is for intermediate-level developers, architects, analysts, engineers, and data scientists who are interested in learning about aggregation capabilities in MongoDB. Working knowledge of MongoDB is needed to get the most out of this book.
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автор — Done Paul, издательство Packt Publishing Limited, год выпуска 2023, 308 страниц.
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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.