Title: adaptive query processing in pipelined plans
Author: eurviriyanukul, kwanchai
Awarding Body: MANCHESTER UNIVERSITY
Current Institution: University of Manchester
Date of Award: 2008
Availability of Full Text:
Access through EThOS:
EThOS Persistent ID: uk.bl.ethos.492914 
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
Abstract:
This thesis presents an approach to enable changes to partially evaluated pipelined Query-Execution Plans (QEPs) at run-time to recover from optimisation mistakes in cardinality estimation according to the absences of accurate statistics. These mistakes may influence an optimiser to select in-efficient QEPs.
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