
SQL Server Internals
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| 2026-09-15 | 263 kr · Lägst hos Adlibris |
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| 2026-10-06 | Ingen butik hade produkten i lager |
| 2026-10-08 | 263 kr · Lägst hos Adlibris |
| 2026-10-26 | Ingen butik hade produkten i lager |
Om produkten
The SQL Server 2016 In-Memory OLTP engine (a.k.a
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Hekaton) is designed to exploit terabytes of available memory and high numbers of processing cores. It allows us to work with memory-optimized tables and indexes, and natively compiled stored procedures, in addition to the disk-based tables and indexes, and T-SQL stored procedures, that SQL Server has always provided. Hekaton in-memory data is accessible, transparently, using familiar interfaces such as T-SQL and SSMS, but Hekaton's internal behavior and capabilities are very different than those of the standard relational engine. Everything you knew about how your SQL Server stores and accesses data is different in Hekaton. Everything you understood about how multiple concurrent processes are handled needs to be reconsidered. In this book, Kalen Delaney explains how the new In-Memory OLTP engine works, how it stores and manipulates data, and how, even with all data stored in memory and no locking or latching, it can