Results 131 to 140 of about 263 (155)
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2014
Hekaton was the code name of an In-Memory OLTP Engine introduced in SQL Server 2014. It is an Enterprise Edition feature, and it is available only in the 64-bit version of SQL Server. Hekaton is Greek for one hundred, which was the target performance-improvement goal of the project.
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Hekaton was the code name of an In-Memory OLTP Engine introduced in SQL Server 2014. It is an Enterprise Edition feature, and it is available only in the 64-bit version of SQL Server. Hekaton is Greek for one hundred, which was the target performance-improvement goal of the project.
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2015
This chapter provides a high-level overview of In-Memory OLTP objects. It shows how to create databases with an In-Memory OLTP filegroup, and how to define memory-optimized tables and access them through the interop engine and natively compiled stored procedures.
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This chapter provides a high-level overview of In-Memory OLTP objects. It shows how to create databases with an In-Memory OLTP filegroup, and how to define memory-optimized tables and access them through the interop engine and natively compiled stored procedures.
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Benchmarking OLTP/web databases in the cloud
Proceedings of the fourth international workshop on Cloud data management, 2012Benchmarking is a key activity in building and tuning data management systems, but the lack of reference workloads and a common platform makes it a time consuming and painful task. The need for such a tool is heightened with the advent of cloud computing--with its pay-per-use cost models, shared multi-tenant infrastructures, and lack of control on ...
Carlo A. Curino +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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Efficient partitioner for distributed OLTP DBMS
2018 20th International Conference on Advanced Communication Technology (ICACT), 2018Distributed online transaction processing (OLTP) database management systems (DBMS) are characterized with ACID properties, that is atomicity, consistency, isolation, durability. However, these OLTP DBMSs that handle massive data schema, need to be scalable that cannot give up strong transactional and consistency requirements.
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Frequency governors for cloud database OLTP workloads
2017 IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED), 2017Dynamically controlling processor frequency to save power while meeting customer Service-Level Objectives (SLOs) can reduce the cost of goods sold for cloud service providers. However, resource governance for Online Transaction Processing (OLTP) workloads in the cloud is complicated by throughput constraints, latency constraints, shallow sleep states ...
Rathijit Sen, Alan Halverson
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Towards Scalable OLTP Over Fast Networks
2023Online Transaction Processing (OLTP) underpins real-time data processing in many mission-critical applications, from banking to e-commerce. These applications typically issue short-duration, latency-sensitive transactions that demand immediate processing. High-volume applications, such as Alibaba's e-commerce platform, achieve peak transaction rates as
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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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In-Memory OLTP Migration Tools
2015This appendix discusses several SQL Server 2014 tools that help with In-Memory OLTP migration.
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การปรับปรุงประสิทธิภาพและยกระดับระบบบริการทางการเงินผ่านการบูรณาการ OLAP และ OLTP
ระบบการเงินในปัจจุบันต้องเผชิญกับการจัดการข้อมูลจำนวนมากในแต่ละวัน เช่น การสั่งซื้อสินค้า การชำระเงิน และการเติมเงินเข้าสู่ระบบ ซึ่งต้องดำเนินการด้วยความรวดเร็วและความถูกต้องแม่นยำ ระบบดั้งเดิมที่ใช้ฐานข้อมูลประเภท OLTP ได้รับการออกแบบมาเพื่อรองรับการประมวลผลธุรกรรมแบบเรียลไทม์ แต่เมื่อปริมาณข้อมูลเพิ่มมากขึ้น ระบบเริ่มประสบกับข้อจำกัดในด้านประสิทธิภาพopenaire +1 more source