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Paul,

Try this:

select ( s.service_seconds + w.wait_seconds) / user_calls service_time
from (
   select
   (sum(value)/100) / ( 3600 * 24 ) service_seconds
   from v$sysstat
   where upper(name) like '%CPU%'
   and class in (1,64) -- User and SQL
) s,
(
   select
      sum(time_waited/100) wait_seconds
   from v$system_event
   where event not like '%timer'
   and event not like '%from client'
) w,
(
   select
      sum(value) user_calls
   from v$sysstat
   where name like 'user%'
) u
/

While you may find this a useful number as a DBA, I'll bet your users won't
buy it.

On my SAP system it shows a 0.025 second reponse time.  While that may be
accurate on a per call database, I don't think many queries are returned
that quickly.  :)

Could be that I'm not getting the right numbers, but I don't believe that
determining
an average response time is quite that simple.

Jared




                                                                                       
                             
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Hi List,

I am trying to calculate the average database response time for a data
center audit currently underway.  Without "expensive" monitoring tools, is
it possible to determine this from database statistics.  So far, I'm using
(Service Time + Wait Time) / calls where this translates into

Service Time         = 'CPU used by this session' from v$sysstat
Wait Time            = sum(time_waited) from v$system_event (excluding idle
events)
User calls           = 'user calls' from v$sysstat

Am I way off the mark here?

Interestingly, it seems as if Craig Shallahamer (www.orapub.com) is
preparing a paper which addresses this very issue - determing response time
from database statistics - but it is only due out later this year.

Anybody with any ideas or reasons why the above is not feasible?

TIA
Paul


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