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Titlebook: Expert SQL Server in-Memory OLTP; Dmitri Korotkevitch Book 20151st edition Dmitri Korotkevitch 2015

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31#
發(fā)表于 2025-3-27 00:35:13 | 只看該作者
32#
發(fā)表于 2025-3-27 04:04:08 | 只看該作者
https://doi.org/10.1007/978-3-319-06083-5 provides an overview of the natively compiled stored procedures and T-SQL features that are supported in In-Memory OLTP. Finally, this chapter compares the performance of several use cases that access and modify data in memory-optimized tables using natively compiled stored procedures and interpreted T-SQL with the interop engine.
33#
發(fā)表于 2025-3-27 06:03:03 | 只看該作者
34#
發(fā)表于 2025-3-27 11:47:18 | 只看該作者
35#
發(fā)表于 2025-3-27 16:56:30 | 只看該作者
Third Order Nonlinear Integrated Devices,d server configurations, and it covers In-Memory OLTP-related database administration and management tasks. Finally, this chapter gives an overview of the changes and enhancements in the catalog and data management objects related to In-Memory OLTP.
36#
發(fā)表于 2025-3-27 20:58:05 | 只看該作者
37#
發(fā)表于 2025-3-28 00:38:51 | 只看該作者
In-Memory OLTP Objects,efine memory-optimized tables and access them through the interop engine and natively compiled stored procedures. Finally, this chapter demonstrates performance improvements that can be achieved with the In-Memory OLTP Engine when a large number of concurrent sessions insert the data into the database and latch contention becomes the bottleneck.
38#
發(fā)表于 2025-3-28 04:13:15 | 只看該作者
In-Memory OLTP Programmability, provides an overview of the natively compiled stored procedures and T-SQL features that are supported in In-Memory OLTP. Finally, this chapter compares the performance of several use cases that access and modify data in memory-optimized tables using natively compiled stored procedures and interpreted T-SQL with the interop engine.
39#
發(fā)表于 2025-3-28 09:52:17 | 只看該作者
Transaction Processing in In-Memory OLTP,ontainer transactions, provides an overview of concurrency phenomena encountered in the database systems, and explains how In-Memory OLTP addresses them. Finally, this chapter talks about the lifetime of In-Memory OLTP transactions in detail.
40#
發(fā)表于 2025-3-28 14:11:37 | 只看該作者
Data Storage, Logging, and Recovery,pairs used by SQL Server to persist the data, provides an overview of checkpoint process in In-Memory OLTP, and discusses recovery of memory-optimized data. Finally, this chapter demonstrates how In-Memory OLTP logs the data in a transaction log and why In-Memory OLTP logging is more efficient compared to on-disk tables.
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