By Amol Deshpande
Adaptive question Processing surveys the basic concerns, thoughts, expenditures, and advantages of adaptive question processing. It starts off with a vast evaluation of the sphere, picking the size of adaptive options. It then appears to be like on the spectrum of ways to be had to conform question execution at runtime - basically in a non-streaming context. The emphasis is on simplifying and abstracting the most important suggestions of every method, instead of reproducing the entire info on hand within the papers. The authors establish the strengths and obstacles of the several concepts, reveal once they are most precious, and recommend attainable avenues of destiny study. Adaptive question Processing serves as a invaluable 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 methods which they might not have excited by in the scope in their personal learn.
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Extra info for Adaptive Query Processing (Foundations and Trends in Databases)
Choose nodes  and mid-query reoptimization [75, 87] follow this strategy, interleaving measurement-plus-execution with analysis and actuation. 2 Analysis The analysis step focuses on determining how well execution is proceeding — relative to original estimates or to the estimated or measured costs of alternative strategies. There are two major caveats to this phase. First, the only way to know precise costs of alternative strategies is through competitive execution, which is generally expensive.
For instance, the original eddies proposal advocated attaching two bitsets to each tuple, called done and ready, that respectively encode the information about the operators that the tuple has already been through, and the operators that the tuple can be validly routed to next . We will see several other approaches for handling this later. 2. Implementation of the Routing Policy: Routing policy refers to the set of rules used by the eddy to choose a routing destination for a tuple among the possible valid destinations.
If any result tuples were generated during the previous step, they are used to probe into the hash tables on R and U , all in that order. 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.