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SQL Server 2017 Developer???s Guide

You're reading from   SQL Server 2017 Developer???s Guide A professional guide to designing and developing enterprise database applications

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Product type Paperback
Published in Mar 2018
Publisher Packt
ISBN-13 9781788476195
Length 816 pages
Edition 1st Edition
Languages
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Authors (3):
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Dejan Sarka Dejan Sarka
Author Profile Icon Dejan Sarka
Dejan Sarka
Miloš Radivojević Miloš Radivojević
Author Profile Icon Miloš Radivojević
Miloš Radivojević
William Durkin William Durkin
Author Profile Icon William Durkin
William Durkin
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Toc

Table of Contents (19) Chapters Close

Preface 1. Introduction to SQL Server 2017 FREE CHAPTER 2. Review of SQL Server Features for Developers 3. SQL Server Tools 4. Transact-SQL and Database Engine Enhancements 5. JSON Support in SQL Server 6. Stretch Database 7. Temporal Tables 8. Tightening Security 9. Query Store 10. Columnstore Indexes 11. Introducing SQL Server In-Memory OLTP 12. In-Memory OLTP Improvements in SQL Server 2017 13. Supporting R in SQL Server 14. Data Exploration and Predictive Modeling with R 15. Introducing Python 16. Graph Database 17. Containers and SQL on Linux 18. Other Books You May Enjoy

Improvements in the In-Memory OLTP engine


Further to the previously mentioned size limitation removal, there have been a number of improvements of the In-Memory OLTP engine that may not be immediately apparent, but can still drastically improve performance and scalability.

First up is a range of improvements to the storage subsystem; not only was the checkpoint file pair limit removed, but there was also the introduction of multi-threaded checkpointing. In SQL Server 2014, the offline checkpoint process was a single-threaded system. This thread would scan the transaction log for changes to memory-optimized tables and write those changes to the checkpoint file pairs. This meant that a potentially multi-core system would have a busy core for the checkpointing process. With SQL Server 2016, this checkpointing system was redesigned to run on multiple threads, therefore increasing throughput to the checkpoint file pairs and thus increasing overall performance and the scalability of the In-Memory...

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