
Expert SQL Server In-Memory OLTP
Dmitri Korotkevitch(Author)
APress
2nd Edition
Published on 4. September 2017
Book
Paperback/Softback
XXI, 304 pages
978-1-4842-2771-8 (ISBN)
Description
Take a deep dive into one of the most significant SQL Server features-support for In-Memory Online Transaction Processing. The latest developments are covered, including support of off-row storage, columnstore indexes and operational analytics, changes in programmability and native compilation, and more. This book describes the architecture and internals of the In-Memory OLTP Engine and explains how to develop, deploy, and maintain systems using it. With it you can dramatically increase transaction throughput to handle thousands of transactions per second supporting millions of customers.Learn the architecture and the internals of In-Memory OLTP in order to recognize when technology can make a difference. Recognize opportunities for In-Memory OLTP in new development and understand how to benefit from it in existing systems. Don't be without Dmitri Korotkevitch and the deep expertise he imparts in Expert SQL Server In-Memory OLTP, 2nd Editionas you move forward in using SQL Server's In-Memory OLTP technology. Dmitri Korotkevitch is the five-star author of Pro SQL Server Internals, and brings the same combination of clear thinking and deep expertise to help you in this second edition. The book:Explains In-Memory OLTP internals, architecture and programmability, including data storage, indexing, multi-version concurrency control, transaction logging and recovery, and native compilationCovers SQL Server 2016 technology enhancements, including columnstore indexes and off-row storageGuides in using In-Memory OLTP in new development and existing systemsWhat You'll LearnGrasp how SQL Server stores and works with data in memory-optimized tablesProperly design and index memory-optimized tablesPlan successful deployments, including the required memory size and I/O configurationAccelerate T-SQL processing through the creation of natively compiled modulesMonitor and report on the benefits and performance of your In-Memory OLTP solutionsBenefit from the technology in existing systems and in the systems with the mixed workloadWho This Book Is ForApplication developers and database administrators who create and manage online transaction processing (OLTP) systems; in particular, those wanting to take advantage of SQL Server's new offering of in-memory OLTP to dramatically improve performance and throughput of their systems
More details
Edition
2nd ed.
Language
English
Place of publication
Berkeley
United States
Edition type
Revised edition
Illustrations
62 farbige Abbildungen, 89 s/w Abbildungen
XXI, 304 p. 151 illus., 62 illus. in color.
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 18 mm
Weight
499 gr
ISBN-13
978-1-4842-2771-8 (9781484227718)
DOI
10.1007/978-1-4842-2772-5
Schweitzer Classification
Other editions
Additional editions

Dmitri Korotkevitch
Expert SQL Server In-Memory OLTP
E-Book
09/2017
2nd Edition
APress
€56.99
Available for download
Previous edition

Dmitri Korotkevitch
Expert SQL Server in-Memory OLTP
Book
09/2015
Apress
€40.61
Article exhausted; check for reprint
Person
Dmitri Korotkevitch
is a Microsoft Data Platform MVP and Microsoft Certified Master (SQL Server 2008) with more than 20 years of IT experience, including years of experience working with Microsoft SQL Server as an Application and Database Developer, Database Administrator, and Database Architect. He specializes in the design, development, and performance tuning of complex OLTP systems that handle thousands of transactions per second around the clock. Dmitri regularly speaks at various Microsoft and SQL PASS events, and he provides SQL Server training to clients around the world.
Content
Introduction.-.-1. Why In-Memory OLTP?.- 2. In-Memory OLTP Objects.- 3. Memory-Optimized Tables.- 4. Hash Indexes.- 5. Nonclustered Indexes.- 6. Memory Consumers and Off-Row Storage.- 7. Columnstore Indexes.- 8. Transaction Processing in In-Memory OLTP.- 9. In-Memory OLTP Programmability.- 10. Data Storage, Checkpoint, and Recovery.- 11. Garbage Collection.- 12. Deployment and Management.- 13. Utilizing In-Memory OLTP.- 14. Appendix A: Memory Pointer Management.- 15. Appendix B: Page Splitting and Page Merging in Nonclustered Indexes.- 16. Appendix C: Analyzing the States of Checkpoint Files.- 17. Appendix D: In-Memory OLTP Migration Tools.