Query Processing in Parallel Relational Database Systems PDF Download

Author: Hongjun Lu
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
ISBN:
Category : Computers
Languages : en
Pages : 400

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Book Description
Provides readers with a background knowledge of parallel database query processing and optimization and covers recent developments in the field. Subjects include design approaches, architecture of parallel database systems, parallel sorting, parallel processing of join, data skew and load balancing,

Author: David Taniar
Publisher: John Wiley & Sons
ISBN: 0470391359
Category : Computers
Languages : en
Pages : 575

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Book Description
The latest techniques and principles of parallel and grid database processing The growth in grid databases, coupled with the utility of parallel query processing, presents an important opportunity to understand and utilize high-performance parallel database processing within a major database management system (DBMS). This important new book provides readers with a fundamental understanding of parallelism in data-intensive applications, and demonstrates how to develop faster capabilities to support them. It presents a balanced treatment of the theoretical and practical aspects of high-performance databases to demonstrate how parallel query is executed in a DBMS, including concepts, algorithms, analytical models, and grid transactions. High-Performance Parallel Database Processing and Grid Databases serves as a valuable resource for researchers working in parallel databases and for practitioners interested in building a high-performance database. It is also a much-needed, self-contained textbook for database courses at the advanced undergraduate and graduate levels.

Author: Kian Lee Tan
Publisher:
ISBN:
Category : Database searching
Languages : en
Pages : 436

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Book Description

Author: W. Kim
Publisher: Springer Science & Business Media
ISBN: 3642823750
Category : Computers
Languages : en
Pages : 367

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Book Description
This book is an anthology of the results of research and development in database query processing during the past decade. The relational model of data provided tremendous impetus for research into query processing. Since a relational query does not specify access paths to the stored data, the database management system (DBMS) must provide an intelligent query-processing subsystem which will evaluate a number of potentially efficient strategies for processing the query and select the one that optimizes a given performance measure. The degree of sophistication of this subsystem, often called the optimizer, critically affects the performance of the DBMS. Research into query processing thus started has taken off in several directions during the past decade. The emergence of research into distributed databases has enormously complicated the tasks of the optimizer. In a distributed environment, the database may be partitioned into horizontal or vertical fragments of relations. Replicas of the fragments may be stored in different sites of a network and even migrate to other sites. The measure of performance of a query in a distributed system must include the communication cost between sites. To minimize communication costs for-queries involving multiple relations across multiple sites, optimizers may also have to consider semi-join techniques.

Author: Paraschos Koutris
Publisher: Foundations and Trends in Databases
ISBN: 9781680834062
Category : Electronic data processing
Languages : en
Pages : 144

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Book Description
This monograph reviews some of the recent theoretical results on efficient data processing on large distributed architectures, as well as some of the relevant classical results on parallel sorting and parallel matrix multiplication.

Author: Ling Liu
Publisher:
ISBN: 9781489979933
Category : Database management
Languages : en
Pages :

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Book Description

Author: Michael Jaedicke
Publisher: Springer
ISBN: 3540455078
Category : Computers
Languages : en
Pages : 163

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Book Description
During the last few years, parallel object-relational database management systems have emerged as the leading data management technology on the market. These systems are extensible by user-defined data types and user-defined functionality for the data. This work focuses on the efficient parallel execution of user-defined functionality. The main contributions describe techniques to support data parallelism for user-defined scalar and aggregate functions and intra-function parallelism for the execution of a scalar function on a large object, and a new technology to provide extensibility with regard to new set-oriented database operations that can efficiently implement user-defined functionality in parallel object-relational database management systems.

Author: Sven Groppe
Publisher: Springer Science & Business Media
ISBN: 3642193579
Category : Computers
Languages : en
Pages : 273

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Book Description
The Semantic Web, which is intended to establish a machine-understandable Web, is currently changing from being an emerging trend to a technology used in complex real-world applications. A number of standards and techniques have been developed by the World Wide Web Consortium (W3C), e.g., the Resource Description Framework (RDF), which provides a general method for conceptual descriptions for Web resources, and SPARQL, an RDF querying language. Recent examples of large RDF data with billions of facts include the UniProt comprehensive catalog of protein sequence, function and annotation data, the RDF data extracted from Wikipedia, and Princeton University’s WordNet. Clearly, querying performance has become a key issue for Semantic Web applications. In his book, Groppe details various aspects of high-performance Semantic Web data management and query processing. His presentation fills the gap between Semantic Web and database books, which either fail to take into account the performance issues of large-scale data management or fail to exploit the special properties of Semantic Web data models and queries. After a general introduction to the relevant Semantic Web standards, he presents specialized indexing and sorting algorithms, adapted approaches for logical and physical query optimization, optimization possibilities when using the parallel database technologies of today’s multicore processors, and visual and embedded query languages. Groppe primarily targets researchers, students, and developers of large-scale Semantic Web applications. On the complementary book webpage readers will find additional material, such as an online demonstration of a query engine, and exercises, and their solutions, that challenge their comprehension of the topics presented.

Author: Clement T. Yu
Publisher: Morgan Kaufmann
ISBN:
Category : Computers
Languages : en
Pages : 512

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Book Description
A thorough presentation of query processing techniques in a broad range of database systems for advanced applications. Provides the most effective query processing techniques and ways to optimize the information retrieval process. Intended for database systems designers creating advanced applications.

Author: Wagar Hasan
Publisher: Lecture Notes in Computer Science
ISBN:
Category : Computers
Languages : en
Pages : 168

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Book Description
This program is an electronic adaptation of work on the Comprehensive Classification of Pelvic Fractures by M. Tile, D. Helfet, J. Kellam, B. Isler, S. Nazarian, R.J. Judet, E. Letournel, and M.E. Müller. It includes sample X-rays, CT slices and 3D movies. In addition, a complete dictionary explains important terms and concepts, and a database is provided to record individual patient data such as fracture code, dates of treatment, and evaluation information. Multiple queries may be performed by fracture code or other criteria to retrieve an individual patient. With the use of this program careful classification and accurate documentation of treated fractures will facilitate research into the effectiveness of treatment.