dc.contributor.author | Ioannidis, Y | en |
dc.contributor.author | Ng, R | en |
dc.contributor.author | Shim, K | en |
dc.contributor.author | Sellis, T | en |
dc.date.accessioned | 2014-03-01T01:45:43Z | |
dc.date.available | 2014-03-01T01:45:43Z | |
dc.date.issued | 1997 | en |
dc.identifier.uri | https://dspace.lib.ntua.gr/xmlui/handle/123456789/24699 | |
dc.subject | Database System | en |
dc.subject | Query Optimization | en |
dc.title | Parametric Query Optimization | en |
heal.type | journalArticle | en |
heal.identifier.primary | 10.1007/s007780050037 | en |
heal.identifier.secondary | http://dx.doi.org/10.1007/s007780050037 | en |
heal.publicationDate | 1997 | en |
heal.abstract | Abstract: In most database systems, the values of many importantrun-time parameters of the system, the data, or thequery are unknown at query optimization time. Parametricquery optimization attempts to identify at compile time severalexecution plans, each one of which is optimal for asubset of all possible values of the run-time parameters. Thegoal is that at run time, when the actual parameter | en |
heal.journalName | The Vldb Journal | en |
dc.identifier.doi | 10.1007/s007780050037 | en |
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