Skip to Main Content
Automated Physical Database Design and Tuning
book

Automated Physical Database Design and Tuning

by Nicolas Bruno
February 2011
Intermediate to advanced content levelIntermediate to advanced
253 pages
8h 4m
English
CRC Press
Content preview from Automated Physical Database Design and Tuning
82 Automated Physical Database Design and Tuning
To obtain this cost, we calculate cost(q, {I}) cost(q, ) (either by using
optimization calls or by leveraging the cost model of the optimizer). Therefore,
we derive the cost of a nonatomic configuration C for an UPDATE query q as
cost(q, C) = min
C
Catomic(C
)
cost(q, C
) +
I ∈ inner SELECT
cost(q, {I})
cost(q, )
So far we have discussed the definition of atomic configurations and how
they can be used to avoid some optimization calls but have given no proce-
dure to identify such configurations for a given query. We next introduce two
approaches to address this issue.
5.2.1.1 Static Strategy Based on Query
Processor Restrictions
The characteristics of the query processor can determine what constitutes ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

What Is Database Design, Anyway?

What Is Database Design, Anyway?

C.J. Date
Physical Database Design

Physical Database Design

Sam S. Lightstone, Toby J. Teorey, Tom Nadeau

Publisher Resources

ISBN: 9781439815670