By Amol Deshpande
Adaptive question Processing surveys the elemental matters, ideas, expenses, and merits of adaptive question processing. It starts with a extensive assessment of the sphere, picking the size of adaptive ideas. It then seems to be on the spectrum of methods on hand to evolve question execution at runtime - essentially in a non-streaming context. The emphasis is on simplifying and abstracting the foremost techniques of every strategy, instead of reproducing the entire info on hand within the papers. The authors determine the strengths and boundaries of the various thoughts, exhibit after they are most dear, and recommend attainable avenues of destiny examine. Adaptive question Processing serves as a helpful reference for college students of databases, delivering a radical survey of the realm. Database researchers will make the most of a extra whole standpoint, together with a few ways which they won't have curious about in the scope in their personal learn.
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Additional info for Adaptive Query Processing (Foundations and Trends in Databases)
Eddies perform exploration as a part of execution, by routing tuples through different alternative paths, serving the goals of execution and information gathering simultaneously. Antoshenkov’s work on DEC Rdb  adopted a different, competitive strategy in which multiple alternative plans were redundantly run in parallel; once enough information was gathered to determine which plan appeared most promising, all other plans were terminated. Finally, at times it is more efficient to stratify the search and measurement space, by executing a plan in a series of steps, and hence measuring only the active portions of query execution.
Similarly, when a new R tuple arrives, it is first built into the hash table on R. a first, and the resulting matches are then probed into the hash tables on T and U . Note that the R tuple is not eligible to be probed into the hash tables on T or U directly, since it does not contain the join attributes corresponding to either of those two joins. 2 Adaptivity Loop 35 dow, only the base tuple needs to be located and removed from a hash table, since intermediate tuples are not stored in the hash tables.
Operators (thereby, in effect, changing the query plan being used for the tuple). The eddy operator, which is used as the tuple router, monitors the execution, and makes the routing decisions for the tuples. 1 shows how an eddy can be used to execute a 4-way join query. Along with an eddy, three join operators and one selection operator are instantiated. The eddy executes the query by routing tuples from the relations R, S, and T through these operators; a tuple that has been processed by all operators is sent to the output.
Adaptive Query Processing (Foundations and Trends in Databases) by Amol Deshpande