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An Optimizer for Heterogeneous Systems with NonStandard Data and Search Capabilities.

Laura M. Haas, Donald Kossmann, Edward L. Wimmers, Jun Yang: An Optimizer for Heterogeneous Systems with NonStandard Data and Search Capabilities. IEEE Data Eng. Bull. 19(4): 37-44(1996)
@article{DBLP:journals/debu/HaasKWY96,
  author    = {Laura M. Haas and
               Donald Kossmann and
               Edward L. Wimmers and
               Jun Yang 0001},
  title     = {An Optimizer for Heterogeneous Systems with NonStandard Data
               and Search Capabilities},
  journal   = {IEEE Data Eng. Bull.},
  volume    = {19},
  number    = {4},
  year      = {1996},
  pages     = {37-44},
  ee        = {db/journals/debu/HaasKWY96.html},
  bibsource = {DBLP, http://dblp.uni-trier.de}
}

Abstract

Much of the world's nonstandard data resides in specialized data sources. This data must often be queried together with data from other sources to give users the information they desire. Queries that can span several specialized sources with diverse search capabilities pose new challenges for query optimization. This paper describes the design and illustrates the use of a general purpose optimizer that can be taught about the capabilities of a new data source. Our optimizer produces plans of high quality even in the presence of nonstandard data, strange methods, and unusual query processing capabilities, and makes it easy to add new sources of standard or nonstandard data.

Copyright © 1996 by The Institute of Electrical and Electronic Engineers, Inc. (IEEE). Abstract used with permission.


ACM SIGMOD Anthology

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Online Edition:

Data Engineering Bulletin December 1996: Query Processing for Non-Standard Data (Joseph Hellerstein, ed.)
( letter+figures , letter-figures , A4+figures , A4-figures , PDF+figures)

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