ACM SIGMOD Anthology ACM SIGMOD dblp.uni-trier.de

Query Evaluation Techniques for Large Databases.

Goetz Graefe: Query Evaluation Techniques for Large Databases. ACM Comput. Surv. 25(2): 73-170(1993)
@article{DBLP:journals/csur/Graefe93,
  author    = {Goetz Graefe},
  title     = {Query Evaluation Techniques for Large Databases},
  journal   = {ACM Comput. Surv.},
  volume    = {25},
  number    = {2},
  year      = {1993},
  pages     = {73-170},
  ee        = {db/journals/csur/Graefe93.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}
BibTeX

Abstract

Database management systems will continue to manage large data volumes. Thus, efficient algorithms for accessing and manipulating large sets and sequences will be required to provide acceptable performance. The advent of object-oriented and extensible database systems will not solve this problem. On the contrary, modern data models exacerbate the problem: In order to manipulate large sets of complex objects as efficiently as today's database systems manipulate simple records, query-processing algorithms and software will become more complex, and a solid understanding of algorithm and architectural issues is essential for the designer of database management software.

This survey provides a foundation for the design and implementation of query execution facilities in new database management systems. It describes a wide array of practical query evaluation techniques for both relational and postrelational database systems, including iterative execution of complex query evaluation plans, the duality of sort- and hash-based set-matching algorithms, types of parallel query execution and their implementation, and special operators for emerging database application domains.

Copyright © 1993 by the ACM, Inc., used by permission. Permission to make digital or hard copies is granted provided that copies are not made or distributed for profit or direct commercial advantage, and that copies show this notice on the first page or initial screen of a display along with the full citation.

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  55. Minos N. Garofalakis, Yannis E. Ioannidis: Parallel Query Scheduling and Optimization with Time- and Space-Shared Resources. VLDB 1997: 296-305
  56. Jens Claußen, Alfons Kemper, Guido Moerkotte, Klaus Peithner: Optimizing Queries with Universal Quantification in Object-Oriented and Object-Relational Databases. VLDB 1997: 286-295
  57. Timothy Griffin, Richard Hull: A Framework for Implementing Hypothetical Queries. SIGMOD Conference 1997: 231-242
  58. Giuseppe Amato, Fosca Giannotti, Gianni Mainetto: Static Analysis of Transactions for Conservative Multigranularity Locking. DBPL 1997: 413-430
  59. Michael Gesmann: A Cost Model for Parallel Navigational Access in Complex-Object DBMSs. DASFAA 1997: 1-10
  60. Silvio Salza, Massimiliano Renzetti: A Modeling Tool for Workload Analysis and Performance Tuning of Parallel Database Applications. ADBIS 1997: 152-161
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  64. Sunita Sarawagi, Michael Stonebraker: Reordering Query Execution in Tertiary Memory Databases. VLDB 1996: 156-167
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  67. Sameet Agarwal, Rakesh Agrawal, Prasad Deshpande, Ashish Gupta, Jeffrey F. Naughton, Raghu Ramakrishnan, Sunita Sarawagi: On the Computation of Multidimensional Aggregates. VLDB 1996: 506-521
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  70. Joseph M. Hellerstein, Jeffrey F. Naughton: Query Execution Techniques for Caching Expensive Methods. SIGMOD Conference 1996: 423-434
  71. Venky Harinarayan, Anand Rajaraman, Jeffrey D. Ullman: Implementing Data Cubes Efficiently. SIGMOD Conference 1996: 205-216
  72. Michael J. Franklin, Björn Þór Jónsson, Donald Kossmann: Performance Tradeoffs for Client-Server Query Processing. SIGMOD Conference 1996: 149-160
  73. Thomas Brinkhoff, Hans-Peter Kriegel, Bernhard Seeger: Parallel Processing of Spatial Joins Using R-trees. ICDE 1996: 258-265
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  81. Ambuj Shatdal, Jeffrey F. Naughton: Adaptive Parallel Aggregation Algorithms. SIGMOD Conference 1995: 104-114
  82. Gerhard Weikum: Tutorial on Parallel Database Systems. ICDT 1995: 33-37
  83. César A. Galindo-Legaria, Arjan Pellenkoft, Martin L. Kersten: Uniformly-Distributed Random Generation of Join Orders. ICDT 1995: 280-293
  84. Dinesh Das, Don S. Batory: Praire: A Rule Specification Framework for Query Optimizers. ICDE 1995: 201-210
  85. Theodore W. Leung: Scheduling Resource Usage in Object-Oriented Queries. DBPL 1995: 9
  86. Zhe Li, Kenneth A. Ross: PERF Join: An Alternative to Two-way Semijoin and Bloomjoin. CIKM 1995: 137-144
  87. Uwe Herzog, Ralf Schaarschmidt: Parallel Execution of Integrity Constraint Checks. CIKM 1995: 82-89
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  89. Serge Abiteboul, Richard Hull, Victor Vianu: Foundations of Databases. Addison-Wesley 1995, ISBN 0-201-53771-0
    Contents
  90. Zhaohui Xie, Jiawei Han: Join Index Hierarchies for Supporting Efficient Navigations in Object-Oriented Databases. VLDB 1994: 522-533
  91. Hennie J. Steenhagen, Peter M. G. Apers, Henk M. Blanken, Rolf A. de By: From Nested-Loop to Join Queries in OODB. VLDB 1994: 618-629
  92. César A. Galindo-Legaria, Arjan Pellenkoft, Martin L. Kersten: Fast, Randomized Join-Order Selection - Why Use Transformations? VLDB 1994: 85-95
  93. Diane L. Davison, Goetz Graefe: Memory-Contention Responsive Hash Joins. VLDB 1994: 379-390
  94. Richard L. Cole, Goetz Graefe: Optimization of Dynamic Query Evaluation Plans. SIGMOD Conference 1994: 150-160
  95. Goetz Graefe: Sort-Merge-Join: An Idea Whose Time Has(h) Passed? ICDE 1994: 406-417
  96. Richard L. Cole, Mark J. Anderson, Robert J. Bestgen: Query Processing in the IBM Application System/400. IEEE Data Eng. Bull. 16(4): 19-28(1993)
  97. Bennet Vance: An Abstract Object-Oriented Query Execution Language. DBPL 1993: 176-199
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