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

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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.

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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.

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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.

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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.

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