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P4DB - The Case for In-Network OLTP
Proceedings of the 2022 International Conference on Management of Data, 2022Matthias Jasny +3 more
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2015
This chapter discusses several design considerations for systems utilizing In-Memory OLTP and shows a set of techniques that can be used to address some of In-Memory OLTP’s limitations. Moreover, this chapter demonstrates how to benefit from In-Memory OLTP in scenarios when refactoring of existing systems is cost-ineffective.Finally, this chapter talks
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This chapter discusses several design considerations for systems utilizing In-Memory OLTP and shows a set of techniques that can be used to address some of In-Memory OLTP’s limitations. Moreover, this chapter demonstrates how to benefit from In-Memory OLTP in scenarios when refactoring of existing systems is cost-ineffective.Finally, this chapter talks
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In-Memory OLTP Programmability
2014This chapter focuses on the programmability aspects of the In-Memory OLTP Engine in SQL Server. It describes the process of native compilation, and it provides an overview of the natively compiled stored procedures and T-SQL features that are supported in In-Memory OLTP.
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2015
This introductory chapter explains the importance of in-memory databases and the problems they address. It provides an overview of the Microsoft In-Memory OLTP implementation (code name Hekaton) and its design goals. Finally, this chapter discusses the high-level architecture of the In-Memory OLTP Engine and how it is integrated into SQL Server.
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This introductory chapter explains the importance of in-memory databases and the problems they address. It provides an overview of the Microsoft In-Memory OLTP implementation (code name Hekaton) and its design goals. Finally, this chapter discusses the high-level architecture of the In-Memory OLTP Engine and how it is integrated into SQL Server.
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MPP UNIX enhancements for OLTP applications
Proceedings of the Twenty-Eighth Annual Hawaii International Conference on System Sciences, 2002The paper describes an MPP UNIX in terms of goals, implementation and initial experience in using it to port OLTP applications. Most MPP UNIX systems strive towards the goal of a conventional but massively scaled up shared memory multiprocessor. In reality this goal has never been achieved without compromising scalability or fault-tolerance.
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2015
Perhaps the most anticipated new feature in SQL Server 2014 is the In-Memory OLTP database engine component. As its name implies, this new component works with memory-resident data. Current OLTP workloads, which read the pages from disk, need to take and release locks and latches, and they need to wait for log writes to be performed. In-Memory OLTP was
Jason Brimhall +2 more
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Perhaps the most anticipated new feature in SQL Server 2014 is the In-Memory OLTP database engine component. As its name implies, this new component works with memory-resident data. Current OLTP workloads, which read the pages from disk, need to take and release locks and latches, and they need to wait for log writes to be performed. In-Memory OLTP was
Jason Brimhall +2 more
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In-Memory OLTP Concurrency Model
2018The In-Memory OLTP technology, introduced in SQL Server 2014, can significantly improve the performance and throughput of OLTP systems. The key technology component—memory-optimized tables—stores the data in-memory, utilizing lock- and latch-free multi-versioning concurrency control.
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Zen+: a robust NUMA-aware OLTP engine optimized for non-volatile main memory
VLDB Journal, 2022Gang Liu, Shimin Chen
exaly
In-Memory OLTP Migration Tools
2015This appendix discusses several SQL Server 2014 tools that help with In-Memory OLTP migration.
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Transaction Processing in In-Memory OLTP
2015This chapter discusses transaction processing in In-Memory OLTP. It elucidates what isolation levels are supported with native compilation and cross-container transactions, provides an overview of concurrency phenomena encountered in the database systems, and explains how In-Memory OLTP addresses them.
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