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The Definitive Guide to Power Query (M)

You're reading from  The Definitive Guide to Power Query (M)

Product type Book
Published in Mar 2024
Publisher Packt
ISBN-13 9781835089729
Pages 758 pages
Edition 1st Edition
Languages
Authors (3):
Gregory Deckler Gregory Deckler
Profile icon Gregory Deckler
Rick de Groot Rick de Groot
Profile icon Rick de Groot
Melissa de Korte Melissa de Korte
Profile icon Melissa de Korte
View More author details

Table of Contents (19) Chapters

Preface Introducing M Working with Power Query/M Accessing and Combining Data Understanding Values and Expressions Understanding Data Types Structured Values Conceptualizing M Working with Nested Structures Parameters and Custom Functions Dealing with Dates, Times, and Durations Comparers, Replacers, Combiners, and Splitters Handling Errors and Debugging Iteration and Recursion Troublesome Data Patterns Optimizing Performance Enabling Extensions Other Books You May Enjoy
Index

Understanding memory usage when evaluating queries

Retrieving data and performing transformations does not come for free. To run queries, Power Query requires memory. Some approaches require more memory than others. Understanding how to improve memory usage therefore helps when optimizing queries. So how does that work?

Queries are executed within a mashup container, a dedicated process responsible for query evaluation. You can see the number of mashup containers used by going to the Task Manager and opening the processes for Power BI Desktop:

Figure 15.1: Mashup containers show up in the Task Manager

The memory given to each container depends on where you’re running Power Query. Common environments include Power BI Desktop, the Power BI service, and the on-premises data gateway. So what happens when container memory runs low?

When a mashup container’s memory needs exceed its allocated limit during query evaluation, Power Query begins paging (transferring...

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