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21st International Conference on Data Engineering (ICDE'05)
Increasing the Accuracy and Coverage of SQL Progress Indicators
Tokyo, Japan
April 05-April 08
ISBN: 0-7695-2285-8
Gang Luo, IBM T.J. Watson Research Center
Jeffrey F. Naughton, University of Wisconsin-Madison
Curt J. Ellmann, University of Wisconsin-Madison
Recently, progress indicators have been proposed for long-running SQL queries in RDBMSs. Although the proposed techniques work well for a subset of SQL queries, they are preliminary in the sense that (1) they cannot provide non-trivial estimates for some SQL queries, and (2) the provided estimates can be rather imprecise in certain cases. In this paper, we consider the problem of supporting non-trivial progress indicators for a wider class of SQL queries with more precise estimates. We present a set of techniques in achieving this goal. We report an initial implementation of these techniques in PostgreSQL.
Citation:
Gang Luo, Jeffrey F. Naughton, Curt J. Ellmann, Michael W. Watzke, "Increasing the Accuracy and Coverage of SQL Progress Indicators," icde, pp.853-864, 21st International Conference on Data Engineering (ICDE'05), 2005
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