Book Chapter10.1007/978-3-030-26253-2_4
Distributed Query Processing
M. Tamer Özsu,Patrick Valduriez +1 more
- 01 Jan 2020
- pp 129-182
2
TL;DR: By hiding the low-level details about the physical organization of the data, relational database languages allow the expression of complex queries in a concise and simple manner.
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Abstract: By hiding the low-level details about the physical organization of the data, relational database languages allow the expression of complex queries in a concise and simple manner. In particular, to construct the answer to the query, the user does not precisely specify the procedure to follow; this procedure is actually devised by a module, called a query processor. This relieves the user from query optimization, a time-consuming task that is best handled by the query processor, since it can exploit a large amount of useful information about the data.
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Citations
•Journal Article
OLAP query evaluation in a database cluster: A performance study on intra-query parallelism
TL;DR: In this article, the authors investigate how many cluster nodes should be used to evaluate an OLAP query in parallel and provide a classification of OLAP queries, which is used to decide, whether and how a query should be parallelized.
66
To Review and Compare Evolutionary Algorithms in Optimization of Distributed Database Query
Mohammed Hussein Abdalla,Murat Karabatak +1 more
- 01 Jun 2020
TL;DR: The purpose and motivation of this paper are to examine the query challenges in the distributed databases and algorithms for the executive plan of the query.
4
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TL;DR: The basic processing model and architecture of Aurora, a new system to manage data streams for monitoring applications, are described and a stream-oriented set of operators are described.
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The Lorel Query Language for Semistructured Data
TL;DR: The main novelties of the Lorel language are the extensive use of coercion to relieve the user from the strict typing of OQL, which is inappropriate for semistructured data; and powerful path expressions, which permit a flexible form of declarative navigational access and are particularly suitable when the details of the structure are not known to the user.
1.3K
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Data on the Web: From Relations to Semistructured Data and XML
Serge Abiteboul,Peter Buneman,Dan Suciu +2 more
- 21 Oct 1999
TL;DR: A Syntax for Data: Typing semistructured data and the Lore system and database products supporting XML are explained.
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Scalable semantic web data management using vertical partitioning
Daniel J. Abadi,Adam Marcus,Samuel Madden,Kate Hollenbach +3 more
- 23 Sep 2007
TL;DR: The results show that a vertical partitioned schema achieves similar performance to the property table technique while being much simpler to design, and if a column-oriented DBMS is used instead of a row-oriented database, another order of magnitude performance improvement is observed, with query times dropping from minutes to several seconds.
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