NDLI: Application of Micro-specialization to Query Evaluation Operators

Content Provider	IEEE Xplore Digital Library
Author	Rui Zhang Snodgrass, R.T. Debray, S.
Copyright Year	2012
Abstract	Relational database management systems support a wide variety of data types and operations. Such generality involves much branch condition checking, which introduces inefficiency within the query evaluation loop. We previously introduced micro-specialization, which improves performance by eliminating unnecessary branching statements and the actual code branches by exploiting invariants present during the query evaluation loop. In this paper, we show how to more aggressively apply micro-specialization to each individual operator within a query plan. Rather than interpreting the query plan, the DBMS dynamically rewrites its object code to produce executable code tailored to the particular query. We explore opportunities for applying micro-specialization to DBMSes, focusing on query evaluation. We show through an examination of program execution profiles that even with a simple query in which just a few operators are micro-specialized, significant performance improvement can be achieved.
Starting Page	315
Ending Page	321
File Size	386269
Page Count	7
File Format	PDF
ISBN	9781467316408
e-ISBN	9780769547480
DOI	10.1109/ICDEW.2012.43
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-04-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Runtime Query processing Conferences Focusing Switches Data structures Manipulator dynamics
Content Type	Text
Resource Type	Article

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