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Mastering Microsoft Dynamics 365 Business Central

You're reading from   Mastering Microsoft Dynamics 365 Business Central The complete guide for designing and integrating advanced Business Central solutions

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Product type Paperback
Published in Mar 2024
Publisher Packt
ISBN-13 9781837630646
Length 684 pages
Edition 2nd Edition
Languages
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Authors (2):
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Stefano Demiliani Stefano Demiliani
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Stefano Demiliani
Duilio Tacconi Duilio Tacconi
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Duilio Tacconi
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Table of Contents (21) Chapters Close

Preface 1. Microsoft Dynamics 365 Business Central’s Online Momentum 2. Mastering a Modern Development Environment FREE CHAPTER 3. Extension Development Fundamentals 4. Developing a Customized Solution for Dynamics 365 Business Central 5. Writing Code for Extensibility 6. Advanced AL Development 7. Handling Files with Dynamics 365 Business Central 8. Report Development 9. Printing 10. Debugging 11. Telemetry 12. Coding for Performance 13. Dynamics 365 Business Central APIs 14. Extending Dynamics 365 Business Central with Azure Services 15. DevOps for Dynamics 365 Business Central 16. Dynamics 365 Business Central and Power Platform Integration 17. Useful and Proficient Tools for AL Developers 18. Creating Generative AI Solutions for Dynamics 365 Business Central 19. Other Books You May Enjoy
20. Index

KQL log analysis

KQL is a case-sensitive language, and it is very similar to Transact-SQL (T-SQL). You can run single statements or organize them in a query by specifying a pipe sign (|) between each single operator.

You could consider your Application Insights resource as your database and signals as stored in tables in this database. If you look at the left side of the Logs whiteboard, you will notice a list of tables. There are two where Dynamics 365 Business Central sends signals: pageViews and traces. pageViews collects information related to pages opened within the environment, while the rest of the signals are all collected in the traces table.

Double-click on pageViews; it will add the table name on the whiteboard so that you can run it as a KQL query statement returning the entire table record set.

If you expand any of these two tables, you will see the metadata structure definition for the ingestion tables and their column data types.

Figure 11.6: Column...

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