Titlebook: Expert SQL Server In-Memory OLTP; Dmitri Korotkevitch Book 2017Latest edition Dmitri Korotkevitch 2017 OLTP.Latch bottlenecks.In-memory ta

軟膏

Industrial Microbiological Textbooks,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.

MELD

缺陷

https://doi.org/10.1007/978-1-4612-4878-1pairs used by SQL Server to persist the data, provides an overview of the checkpoint process in In-Memory OLTP, and discusses the recovery of memory-optimized data. It also explains why In-Memory OLTP logging is more efficient compared to disk-based tables.

acclimate

Hash Indexes,how SQL Server works with them. You will learn about the most critical property of hash indexes, bucket_count, which defines the number of hash buckets in the index hash array. You will see how incorrect bucket count estimations affect system performance.

Coordinate

NATTY

Indebted

Data Storage, Logging, and Recovery,pairs used by SQL Server to persist the data, provides an overview of the checkpoint process in In-Memory OLTP, and discusses the recovery of memory-optimized data. It also explains why In-Memory OLTP logging is more efficient compared to disk-based tables.

推遲

倒轉(zhuǎn)

http://image.papertrans.cn/e/image/319188.jpg

synchronous