ACM Home Page
Please provide us with feedback. Feedback
Online autoadmin: (physical design tuning)
Full text PdfPdf (189 KB)
Source
International Conference on Management of Data archive
Proceedings of the 2007 ACM SIGMOD international conference on Management of data table of contents
Beijing, China
SESSION: Group 1 table of contents
Pages: 1067 - 1069  
Year of Publication: 2007
ISBN:978-1-59593-686-8
Authors
Nicolas Bruno  Microsoft Research, Redmond, WA
Surajit Chaudhuri  Microsoft Research, Redmond, WA
Sponsors
ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 7,   Downloads (12 Months): 52,   Citation Count: 2
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1247480.1247608
What is a DOI?

ABSTRACT

Existing solutions for the automated physical design problem require explicit invocations of tuning tools and critically depend on DBAs gathering representative workloads manually. In this demonstration, we show an alternative approach to the physical design problem. Specifically, we demonstrate a novel monitoring/tuning DBMS component that we prototyped in Microsoft SQL Server 2005 as a server-side extension. This component is always-on and continuously modifies the current physical design reacting to varying workload or data characteristics. Our solution imposes low overhead and takes into account storage constraints, update statements, and the cost to create physical structures.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
S. Agrawal et al. Database Tuning Advisor for Microsoft SQL Server 2005.
 
2
N. Bruno and S. Chaudhuri. Physical design refinement: The "Merge-Reduce" approach. In In Proceedings of EDBT, 2006.
 
3
N. Bruno and S. Chaudhuri. An online approach to physical design tuning. In In Proceedings of ICDE, 2007.
 
4
B. Dageville et al. Automatic SQL Tuning in Oracle 10g. In In Proceedings of VLDB, 2004.
 
5
D. Zilio et al. DB2 design advisor: Integrated automatic physical database design. In In Proceedings of VLDB, 2004.


Collaborative Colleagues:
Nicolas Bruno: colleagues
Surajit Chaudhuri: colleagues