Adaptive Query Processing (Foundations and Trends in by Amol Deshpande PDF

By Amol Deshpande

ISBN-10: 1601980345

ISBN-13: 9781601980342

ISBN-10: 1601980353

ISBN-13: 9781601980359

Adaptive question Processing surveys the basic matters, concepts, expenditures, and merits of adaptive question processing. It starts off with a wide evaluate of the sphere, selecting the scale of adaptive ideas. It then appears to be like on the spectrum of methods to be had 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 information on hand within the papers. The authors determine the strengths and barriers of the several suggestions, show once they are Most worthy, and recommend attainable avenues of destiny examine. Adaptive question Processing serves as a beneficial reference for college kids of databases, delivering an intensive survey of the world. Database researchers will take advantage of a extra entire viewpoint, together with a few techniques which they might not have taken with in the scope in their personal examine.

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After a new serial order is chosen, the tuples arriving henceforth are simply processed using the new order. Babu et al. [10] present several heuristic optimizations over this basic scheme to reduce the overheads of this process; due to space constraints, we omit a detailed discussion of these in this paper. Post-mortem analysis of selection ordering queries can be done in a fairly straightforward manner using horizontal partitioning: the tuples are grouped into partitions based on the order in which the predicates were applied to them.

Actuation: The stateless nature of selection operators makes plan switch itself trivial. After a new serial order is chosen, the tuples arriving henceforth are simply processed using the new order. Babu et al. [10] present several heuristic optimizations over this basic scheme to reduce the overheads of this process; due to space constraints, we omit a detailed discussion of these in this paper. Post-mortem analysis of selection ordering queries can be done in a fairly straightforward manner using horizontal partitioning: the tuples are grouped into partitions based on the order in which the predicates were applied to them.

3 Summary 25 ibration may not be beneficial; if the data itself changes frequently, as it may in streaming, data integration, or high-throughput settings, then the new statistics may be out of date. In these settings, we would like to immediately react to such changes or adapt the current query plan. Through the remainder of this survey, we focus on such intraquery adaptive query processing techniques that adapt the execution of a single query, for greater throughput, improved response time or more useful incremental results.

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


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