Buch, Englisch, 248 Seiten, Book, Format (B × H): 155 mm x 235 mm, Gewicht: 421 g
Buch, Englisch, 248 Seiten, Book, Format (B × H): 155 mm x 235 mm, Gewicht: 421 g
ISBN: 978-1-4842-1137-3
Verlag: Apress
Expert SQL Server In-Memory OLTP is a deep dive into one of the most significant features of SQL Server 2014 – support for In-Memory Online Transaction Processing. The 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 transactional throughput to handle thousands of transactions per second supporting millions of customers. Dmitri Korotkevitch is the five-star author of Pro SQL Server Internals, and now brings his same combination of clear thinking and deep expertise to the question of how to recognize the opportunities and benefit from Microsoft’s In-Memory OLTP feature set in SQL Server 2014. Learn the architecture and the internals in order to recognize when In-Memory OLTP can make a difference. Learn useful scenarios for thoughtfully incorporating in-memory support into existing applications. Recognize opportunities for In-Memory OLTP in new development. Don’t be without Dmitri Korotkevitch and the deep expertise he imparts in Expert SQL Server In-Memory OLTP as you move forward in using SQL Server’s new and important In-Memory OLTP feature set. - Covers In-Memory OLTP internals and architecture, including data storage, indexing, multi-version concurrency control, transaction logging, and recovery
- Illustrates In-Memory OLTP programmability and the process of native compilation
- Guides in using In-Memory OLTP in new development and existing systems.
Zielgruppe
Popular/general
Autoren/Hrsg.
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Weitere Infos & Material
Introduction
1. Why In-Memory OLTP?
2. In-Memory OLTP Objects
3. Memory-Optimized Tables
4. Hash Indexes
5. Nonclustered Indexes
6. In-Memory OLTP Prgrammability
7. In-Memory OLTP Concurrency Model
8. Data Storage, Logging, and Recovery
9. Garbage Collection
10. Deployment and Management
11. Utilizing In-Memory OLTP
12. Appendix A: Memory Pointer Management
13. Appendix B: Page Splitting and Merging in Nonclustered Indexes
14. Appendix C: Analyzing Checkpoint File Pair State
15. Appendix D: In-Memory OLTP Migration Tools