Improving Hash Join Performance By Exploiting Intrinsic Data Skew
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Improving Hash Join Performance By Exploiting Intrinsic Data Skew
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Author :
language : en
Publisher:
Release Date : 2005
Improving Hash Join Performance By Exploiting Intrinsic Data Skew written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with categories.
Large relational databases are a part of all of our lives. The government uses them and almost any store you visit uses them to help process your purchases. Real-world data sets are not uniformly distributed and often contain significant skew. Skew is present in commercial databases where, for example, some items are purchased far more often than others. A relational database must be able to efficiently find related information that it stores. In large databases the most common method used to find related information is a hash join algorithm. Although mitigating the negative effects of skew on hash joins has been studied, no prior work has examined how the statistics present in modern database systems can allow skew to be exploited and used as an advantage to improve the performance of hash joins. This thesis presents Histojoin: a join algorithm that uses statistics to identify data skew and improve the performance of hash join operations. Experimental results show that for skewed data sets Histojoin performs significantly fewer I/O operations and is faster by 10 to 60% than standard hash join algorithms.
Improving Hash Join Performance Through Prefetching
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Author : Shimin Chen
language : en
Publisher:
Release Date : 2003
Improving Hash Join Performance Through Prefetching written by Shimin Chen and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003 with Cache memory categories.
Abstract: "Hash join algorithms suffer from extensive CPU cache stalls. This paper shows that the standard hash join algorithm for disk-oriented databases (i.e. GRACE) spends over 73% of its user time stalled on CPU cache misses, and explores the use of prefetching to improve its cache performance. Applying prefetching to hash joins is complicated by the data dependencies, multiple code paths, and inherent randomness of hashing. We present two techniques, group prefetching and software-pipelined prefetching, that overcome these complications. These schemes achieve 2.0-2.9X speedups for the join phase and 1.4-2.6X speedups for the partition phase over GRACE and simple prefetching approaches. Compared with previous cache-aware approaches (i.e. cache partitioning), the schemes are at least 50% faster on large relations and do not require exclusive use of the CPU cache to be effective."
The Effect Of Data Skew On The Performance Of Hash Based Join Algorithms Ina Shared Everything Environment
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Author : E. Winarko
language : en
Publisher:
Release Date : 1992
The Effect Of Data Skew On The Performance Of Hash Based Join Algorithms Ina Shared Everything Environment written by E. Winarko and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with categories.
The Effect Of Data Skew On The Performance Of Hash Based Join Algorithms In A Shared Everything Environment
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Author : Edi Winarko
language : en
Publisher:
Release Date : 1992
The Effect Of Data Skew On The Performance Of Hash Based Join Algorithms In A Shared Everything Environment written by Edi Winarko and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Relational databases categories.
The Hybrid algorithm is modified to deal with overflow of partitions in main memory and on disk. Two approaches to main memory partition overflow (Static and Dynamic) are described and compared."
A New Dynamic Approach For Handling Data Skew Problems In Parallel Hash Join Computation
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Author : Xiaofang Zhou
language : en
Publisher:
Release Date : 1992
A New Dynamic Approach For Handling Data Skew Problems In Parallel Hash Join Computation written by Xiaofang Zhou and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Distributed databases categories.
It assigns join subtasks to processors during runtime using a method based on the estimation of execution time required for the computation. Finally, we discuss briefly some further applications of our parallel hash join algorithm."
A Parallel Hash Join Algorithm For Managing Data Skew
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Author : J. L. Wolf
language : en
Publisher:
Release Date : 1991
A Parallel Hash Join Algorithm For Managing Data Skew written by J. L. Wolf and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with categories.
Modern B Tree Techniques
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Author : Goetz Graefe
language : en
Publisher: Now Publishers Inc
Release Date : 2011
Modern B Tree Techniques written by Goetz Graefe and has been published by Now Publishers Inc this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Computers categories.
Invented about 40 years ago and called ubiquitous less than 10 years later, B-tree indexes have been used in a wide variety of computing systems from handheld devices to mainframes and server farms. Over the years, many techniques have been added to the basic design in order to improve efficiency or to add functionality. Examples include separation of updates to structure or contents, utility operations such as non-logged yet transactional index creation, and robust query processing such as graceful degradation during index-to-index navigation. Modern B-Tree Techniques reviews the basics of B-trees and of B-tree indexes in databases, transactional techniques and query processing techniques related to B-trees, B-tree utilities essential for database operations, and many optimizations and improvements. It is intended both as a tutorial and as a reference, enabling researchers to compare index innovations with advanced B-tree techniques and enabling professionals to select features, functions, and tradeoffs most appropriate for their data management challenges.
Foundations Of Data Science
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Author : Avrim Blum
language : en
Publisher: Cambridge University Press
Release Date : 2020-01-23
Foundations Of Data Science written by Avrim Blum and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-23 with Computers categories.
Covers mathematical and algorithmic foundations of data science: machine learning, high-dimensional geometry, and analysis of large networks.
Dissertation Abstracts International
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Author :
language : en
Publisher:
Release Date : 1992
Dissertation Abstracts International written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992 with Dissertations, Academic categories.
Data Intensive Text Processing With Mapreduce
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Author : Jimmy Lin
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Data Intensive Text Processing With Mapreduce written by Jimmy Lin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
Our world is being revolutionized by data-driven methods: access to large amounts of data has generated new insights and opened exciting new opportunities in commerce, science, and computing applications. Processing the enormous quantities of data necessary for these advances requires large clusters, making distributed computing paradigms more crucial than ever. MapReduce is a programming model for expressing distributed computations on massive datasets and an execution framework for large-scale data processing on clusters of commodity servers. The programming model provides an easy-to-understand abstraction for designing scalable algorithms, while the execution framework transparently handles many system-level details, ranging from scheduling to synchronization to fault tolerance. This book focuses on MapReduce algorithm design, with an emphasis on text processing algorithms common in natural language processing, information retrieval, and machine learning. We introduce the notion of MapReduce design patterns, which represent general reusable solutions to commonly occurring problems across a variety of problem domains. This book not only intends to help the reader "think in MapReduce", but also discusses limitations of the programming model as well. Table of Contents: Introduction / MapReduce Basics / MapReduce Algorithm Design / Inverted Indexing for Text Retrieval / Graph Algorithms / EM Algorithms for Text Processing / Closing Remarks