Main Memory Database Systems
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Main Memory Database Systems
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Author : Franz Faerber
language : en
Publisher:
Release Date : 2017
Main Memory Database Systems written by Franz Faerber and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017 with Computer storage devices categories.
This article provides an overview of recent developments in main-memory database systems. With growing memory sizes and memory prices dropping by a factor of 10 every 5 years, data having a "primary home" in memory is now a reality. Main-memory databases eschew many of the traditional architectural pillars of relational database systems that optimized for disk-resident data. The result of these memory-optimized designs are systems that feature several innovative approaches to fundamental issues (e.g., concurrency control, query processing) that achieve orders of magnitude performance improvements over traditional designs. Our survey covers five main issues and architectural choices that need to be made when building a high performance main-memory optimized database: data organization and storage, indexing, concurrency control, durability and recovery techniques, and query processing and compilation. We focus our survey on four commercial and research systems: H-Store/VoltDB, Hekaton, HyPer, and SAP HANA. These systems are diverse in their design choices and form a representative sample of the state of the art in main-memory database systems. We also cover other commercial and academic systems, along with current and future research trends.
Implementation Techniques For Main Memory Database Systems
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Author : University of California, Berkeley. Electronics Research Laboratory. POSTGRES Project
language : en
Publisher:
Release Date : 1984
Implementation Techniques For Main Memory Database Systems written by University of California, Berkeley. Electronics Research Laboratory. POSTGRES Project and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Database management categories.
With the availability of very large, relatively inexpensive main memories, it is becoming possible to keep large databases resident in main memory. This paper considers the changes necessary to permit a relational database system to take advantage of large amounts of main memory. The authors evaluate AVL vs. B+- tree access methods for main memory databases, hash-based query processing strategies vs. sort-merge, and study recovery issues when most or all of the database fits in main memory. As expected, B+- trees are the preferred storage mechanism unless more than 80-90% of the database fits in main memory. A somewhat surprising result is that hash based query processing strategies are advantageous for large memory situations. Keywords: Access; Algorithms. (Author).
Main Memory Management On Relational Database Systems
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Author : Pedro Mejia Alvarez
language : en
Publisher: Springer Nature
Release Date : 2022-08-12
Main Memory Management On Relational Database Systems written by Pedro Mejia Alvarez and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-12 with Computers categories.
This book provides basic knowledge about main memory management in relational databases as it is needed to support large-scale applications processed completely in memory. In business operations, real-time predictability and high speed is a must. Hence every opportunity must be exploited to improve performance, including reducing dependency on the hard disk, adding more memory to make more data resident in the memory, and even deploying an in-memory system where all data can be kept in memory. The book provides one chapter for each of the main related topics, i.e. the memory system, memory management, virtual memory, and databases and their memory systems, and it is complemented by a short survey of six commercial systems: TimesTen, MySQL, VoltDB, Hekaton, HyPer/ScyPer, and SAP HANA.
Main Memory Database Systems
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Author : Frans Faerber
language : en
Publisher: Foundations and Trends in Databases
Release Date : 2017-07-20
Main Memory Database Systems written by Frans Faerber and has been published by Foundations and Trends in Databases this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-20 with Probabilistic databases categories.
With growing memory sizes and memory prices dropping by a factor of 10 every 5 years, data having a "primary home" in memory is now a reality. Main-memory databases eschew many of the traditional architectural pillars of relational database systems that optimized for disk-resident data. The result of these memory-optimized designs are systems that feature several innovative approaches to fundamental issues (e.g., concurrency control, query processing) that achieve orders of magnitude performance improvements over traditional designs. This monograph provides an overview of recent developments in main-memory database systems. It covers five main issues and architectural choices that need to be made when building a high performance main-memory optimized database: data organization and storage, indexing, concurrency control, durability and recovery techniques, and query processing and compilation. The monograph focuses on four commercial and research systems: H-Store/VoltDB, Hekaton, HyPer, and SAPHANA. These systems are diverse in their design choices and form a representative sample of the state of the art in main-memory database systems. It also covers other commercial and academic systems, along with current and future research trends.
Main Memory Databases
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Author : Sahir K. Mehta
language : en
Publisher:
Release Date : 1996
Main Memory Databases written by Sahir K. Mehta and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Database management categories.
"The declining cost of main memory coupled with higher performance expectations has inspired researchers and developers to look into systems with massive amounts of memory, especially for systems with databases. When memory is large enough, an entire database can permanently reside in main memory. These database systems are known as memory resident database or Main Memory DataBase (MMDB) systems. When a database is a main memory resident, systems can achieve significant performance improvements over traditional disk-based database systems by eliminating the overhead required to perform Input/Output operations. However, the problem of crash recovery becomes by far the most challenging issue in MMDB systems, since it can occur frequently and cause a drastic crisis by wiping out the entire content of the database. The kind of crisis that can be encountered due to memory failures, the way to prevent them from occuring in the first place, methods of dealing with them upon their occurance, strategies to make the system more reliable to avoid them in the future, and several other issues like these must be well understood. Approaches to deal with crash recoveries must be sound, well designed, and correctly implemented. The objective of this thesis is to study some of the pioneering works of researchers and developers in the area of MMDB recovery and to perform an in-depth analysis of MMDB recovery issues and approaches taken by several major recovery techniques. The analysis examines the reasons for these techniques, design and architecture, and their benefits and limitations over one another. My independent evaluation of the relative benefits and limitations of each technique coupled with marketablitiy analysis is also presented. The approach used in this study is different from that of other studies that have been published so far in this area. In this study, the reader is given a basic introduction to the topic and then gradually taken through the final stages of analysis and comparison of several recovery techniques."--Author's abstract.
Concurrency In Main Memory Database Systems
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Author : Henrik Mühe
language : en
Publisher:
Release Date : 2014
Concurrency In Main Memory Database Systems written by Henrik Mühe and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with categories.
High Performance Main Memory Database Management Systems
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Author :
language : en
Publisher:
Release Date : 2013
High Performance Main Memory Database Management Systems written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013 with categories.
Decision makers today want to analyze constantly evolving datasets of unprecedented volume and complexity in real time. This poses a significant challenge for the underlying data management system. In the past, data processing could scale to meet the growing demand with few changes to the individual software components mainly due to a sustained improvement in single-threaded processor performance. Because of fundamental technological limitations, however, single-processor performance has recently been increasing much more slowly than in the past. It is not uncommon today for a single database server to be able to concurrently execute instructions from hundreds of threads and store terabytes of data in main memory. Commercial database management systems, however, have not been designed for such hardware; they treat main memory as a vast software-controlled cache, and commonly rely on multiple concurrent requests to fully utilize a modern system. My thesis is that we can improve data processing efficiency by one order of mangitude if we redesign the data processing kernel to better leverage existing hardware. This dissertation makes three contributions to main memory database management systems. The first contribution is a simple non-partitioned hash join for memory-resident data that has comparable performance with much more sophisticated hash join methods. The second contribution is demonstrating that hash join plans are commonly advantageous over sort-merge join plans in a main-memory setting because they commonly have shorter query response times while reserving less working memory. The third contribution is the design and implementation of two multi-version concurrency control schemes that are optimized for main memory storage, and can achieve throughputs of millions of transactions per second without sacrificing transactional atomicity, isolation or durability. This dissertation points to promising directions for future performance improvements in the database system kernel, and identifies key open problems in the areas of query execution, transaction processing and query optimization.
Performance Of Complex Queries In Main Memory Database Systems
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Author : International Business Machines Corporation. Research Division
language : en
Publisher:
Release Date : 1986
Performance Of Complex Queries In Main Memory Database Systems written by International Business Machines Corporation. Research Division and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with categories.
Incremental Recovery In Main Memory Database Systems
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Author : University of Texas at Austin. Dept. of Computer Sciences
language : en
Publisher:
Release Date : 1992
Incremental Recovery In Main Memory Database Systems written by University of Texas at Austin. Dept. of Computer Sciences and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Data recovery (Computer science) categories.
Pages are recovered individually and according to the demands of the post-crash transactions. In addition, an incremental method for propagating updates from main memory to the backup database on disk is also provided. Here the emphasis is on decoupling the I/O activities related to the propagation to disk from the forward transaction execution in memory. Finally, we construct a high-level recovery manager based on operation logging on top of the low-level page-based algorithms. The algorithms we propose are motivated by the characteristics of main memory database systems, and exploit the technology of non-volatile RAM."
Design And Performance Evaluation Of A Main Memory Relational Database System
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Author : Tobin Jon Lehman
language : en
Publisher:
Release Date : 1986
Design And Performance Evaluation Of A Main Memory Relational Database System written by Tobin Jon Lehman and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1986 with Computer architecture categories.