Amol Deshpande's Adaptive Query Processing (Foundations and Trends in PDF

By Amol Deshpande

ISBN-10: 1601980345

ISBN-13: 9781601980342

ISBN-10: 1601980353

ISBN-13: 9781601980359

Adaptive question Processing surveys the elemental matters, suggestions, bills, and advantages of adaptive question processing. It starts off with a extensive evaluation of the sector, deciding upon the size of adaptive ideas. It then seems on the spectrum of techniques on hand to evolve question execution at runtime - basically in a non-streaming context. The emphasis is on simplifying and abstracting the most important strategies of every approach, instead of reproducing the total info on hand within the papers. The authors determine the strengths and obstacles of different concepts, show once they are most beneficial, and recommend attainable avenues of destiny examine. Adaptive question Processing serves as a worthwhile reference for college students of databases, offering a radical survey of the world. Database researchers will make the most of a extra whole viewpoint, together with a couple of techniques which they won't have enthusiastic about in the scope in their personal study.

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Extra resources for Adaptive Query Processing (Foundations and Trends in Databases)

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Lottery scheduling [6] Measurement: Monitor ticket counts and queue lengths. Analysis and planning: Choose the route per-tuple based on those. Content-based routing [17] Measurement: For each operator, monitor conditional selectivities for the best classifier attribute. Analysis and planning: Choose the route per-tuple based on values of classifier attributes and selectivities (exploits conditional plans). 1 See [19] for an experimental comparison of these routing policies. 54 Adaptive Selection Ordering — Statistics maintained: The eddy explicitly monitors the selectivity of each operator by counting the number of tuples routed toward the operator, and the number of tuples returned by it.

4 Actuation Actuation, the process of changing a query plan, is a mechanism whose cost depends on how flexible plan execution needs to be. Additionally, when changing a plan, some previous work may be sacrificed, accumulated execution state in the operators may not be reused easily and may need to be recomputed. In the simplest of cases, where query plans can only be changed after a pipeline finishes (as with mid-query reoptimization [75] and choose nodes [52]), actuation is essentially free, since it is inexpensive to reconfigure operators that have not yet begun execution.

We note that our focus here is on describing the underlying mechanisms; we postpone the discussion of most of the policy aspects to latter sections. 1 Symmetric Hash Join Operators The traditional hash join operator is not very well suited for adaptive query processing; it must wait for the build relation to fully arrive before it can start processing the probe relation and producing results. This makes it unsuitable for handling wide-area data sources and data streams, where the inputs arrive in an interleaved fashion, and continuous result generation is desired.

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Adaptive Query Processing (Foundations and Trends in Databases) by Amol Deshpande

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