Title :
Temporal Support for Persistent Stored Modules
Author :
Snodgrass, Richard T. ; Gao, Dengfeng ; Zhang, Rui ; Thomas, Stephen W.
Author_Institution :
Univ. of Arizona, Tucson, AZ, USA
Abstract :
We show how to extend temporal support of SQL to the Turing-complete portion of SQL, that of persistent stored modules (PSM). Our approach requires minor new syntax beyond that already in SQL/Temporal to define and to invoke PSM routines, thereby extending the current, sequenced, and non-sequenced semantics of queries to PSM routines. Temporal upward compatibility (existing applications work as before when one or more tables are rendered temporal) is ensured. We provide a transformation that converts Temporal SQL/PSM to conventional SQL/PSM. To support sequenced evaluation of PSM routines, we define two different slicing approaches, maximal slicing and per-statement slicing. We compare these approaches empirically using a comprehensive benchmark and provide a heuristic for choosing between them.
Keywords :
SQL; Turing machines; database management systems; program slicing; programming language semantics; DBMS; current semantics; database management system; maximal slicing; nonsequenced semantics; per-statement slicing; persistent stored modules; sequenced semantics; temporal SQL-PSM; temporal query languages; temporal support; temporal upward compatibility; turing-complete portion; Context; Database languages; Databases; Semantics; Standards; Syntactics; Transforms;
Conference_Titel :
Data Engineering (ICDE), 2012 IEEE 28th International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4673-0042-1
DOI :
10.1109/ICDE.2012.70