Queue time Total STATSPACK

HI -.
with the keys v 9.2

I wonder about the queue time Total (s) waiting for the Top 5 list of events.
I took a snapshot of 10.55 (min) but time to other (s) exceeds this, so I'm clearly interpreted something wrong:
Top 5 Timed Events
~~~~~~~~~~~~~~~~~~                                                     % Total
Event                                               Waits    Time (s) Ela Time
-------------------------------------------- ------------ ----------- --------
db file scattered read                            587,895       1,464    37.24
CPU time                                                        1,205    30.66
SQL*Net message from dblink                        22,597         609    15.49
db file sequential read                           478,006         554    14.11
log file parallel write                             6,335          28      .72
          -------------------------------------------------------------
For example, reading of files scattered db is 1 464 (s) that is more than the 10.55 (min) of the snapshot.

How to establish a correlation between this time in the clock?
My hypothesis is that several sessions are added, and this number may exceed the time of the snapshot?

Published by: stg on October 17, 2008 09:50

rocr wrote:
the time is per processor, so if you have 8 processors and the clock of the report time is 6 minutes but 5 CPU use 3 minutes of treatment each then the total time is 15 minutes.

rocr,

You consider the "CPU time" component only.
The timeout can be much more than "snapshot interval * CPU_count". "" It can be bigger than "snapshot interval * number of sessions'." "

For example:
I lock a table in exclusive mode for 15 minutes.
100 other users try to update this table and must wait to release my lock.

Elapsed time = 15 minutes
Wait time = 100 * 15 minutes = 1 500 minutes.

Concerning
Jonathan Lewis
http://jonathanlewis.WordPress.com
http://www.jlcomp.demon.co.UK

"The greatest enemy of knowledge is not ignorance, it is the illusion of knowledge." Stephen Hawking.

Tags: Database

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