By Amol Deshpande
Adaptive question Processing surveys the basic concerns, strategies, charges, and merits of adaptive question processing. It starts off with a extensive evaluate of the sector, deciding upon the scale of adaptive innovations. It then seems on the spectrum of techniques to be had to evolve question execution at runtime - essentially in a non-streaming context. The emphasis is on simplifying and abstracting the major thoughts of every process, instead of reproducing the total info on hand within the papers. The authors determine the strengths and boundaries of the various strategies, reveal once they are most respected, 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 take advantage of a extra entire standpoint, together with a couple of methods which they won't have serious about in the scope in their personal study.
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Additional info for Adaptive Query Processing (Foundations and Trends in Databases)
Post-mortem: The behavior of an eddy can usually be captured using traditional query plans and horizontal partitioning, although this depends on the rest of the operators used during execution. We will revisit both the adaptivity loop and post-mortem analysis for eddies when we discuss specific applications of eddies later in the survey. 5 Scope of the Remainder of the Survey In the remainder of this survey, we will discuss the details of a number of different techniques, attempting to tie the themes and issues together according to the dimensions outlined in this section.
2 Ingres The query processor of Ingres, one of the earliest relational database systems , is highly adaptive. 4 Adaptivity Loop and Post-mortem in Some Example Systems 43 execution plan; instead it chose how to process tuples on a tupleby-tuple basis. More specifically, to join the data from n tables, R1 , . . , temporary tables hashed on appropriately chosen attributes of the relations. This is done by utilizing a special one variable query processor (OVQP) that forms the innermost component of the query processor.
Though the policies proposed in literature differ in what is observed and what statistics are collected, most of them monitor the characteristics continuously during the execution. 2), analysis and planning are done in Step 1, with the frequency decided by the routing policy. Policies like lottery scheduling  do the planning for every tuple. 1). 4). For selection-ordering queries executed using stateless pipelined filters, the cost of actuation is negligible. For multiway join queries, the actuation cost can vary from negligible (if n-ary hash join operator is used) to prohibitively high (if state manipulation is required ).
Adaptive Query Processing (Foundations and Trends in Databases) by Amol Deshpande