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Don Burleson Blog 







Oracle10g Time Model v$ Views

Oracle Tips by Burleson Consulting


Oracle10g Time Model v$ Views


Oracle10g introduces a time modeling approach that allows the DBA to have a single scale by which to compare statistics in terms of time. Oracle10g measures cumulative processing times for the following database operations:

§       DB CPU

§       DB time

§       Java execution elapsed time

§       PL/SQL compilation elapsed time

§       PL/SQL execution elapsed time

§       Background CPU time

§       Background elapsed time

§       Connection management call elapsed time

§       Failed parse (out of shared memory) elapsed time

§       Failed parse elapsed time

§       Hard parse (bind mismatch) elapsed time

§       Hard parse (sharing criteria) elapsed time

§       Hard parse elapsed time

§       Inbound PL/SQL rpc elapsed time

§       Parse time elapsed

§       Sequence load elapsed time

§       SQL execute elapsed time

There are two time model statistic v$ views available: v$sess_time_model displays accumulated times per session basis; and v$sys_time_model shows system-wide cumulative processing times.


The time reported in both views is expressed in microseconds and represents the total elapsed or CPU time of operations. Background processing times are not computed for cumulative times except for statistics such as background CPU time and background elapsed time.


The most important statistics within the time model views are DB time and DB CPU. The DB time statistic in the v$sess_time_model view determines the total elapsed processing time spent by database for a particular session. The same statistic in the v$sys_time_model view represents the total cumulative time spent by Oracle for all sessions’ CPU times and wait times spent for non-idle wait events. Therefore, the system-wide DB time can exceed the elapsed time since the last instance startup.


One great benefit of using the v$sess_time_model view is that it allows the quick identification of what part of the session’s processing work spends most time. If a user is complaining about poor response times, once the SID for the user session has been grabbed, a query like sess_waits_ash.sql can be used to find out exactly what areas of work are causing the degradation:


<      sess_waits_ash.sql


SELECT  b.username,


        round((a.value / 1000000),3) time_secs

FROM    v$sess_time_model a,

        v$session b

WHERE   a.sid = b.sid AND

        b.sid = 123



The sample output looks like the following:


USERNAME   STAT_NAME                                       TIME_SECS

---------- ------------------------------------------------ --------

SPV        DB time                                            23,133

SPV        sql execute elapsed time                            6,035

SPV        DB CPU                                              3,399

SPV        parse time elapsed                                  3,205

SPV        hard parse elapsed time                             2,976

SPV        connection management call elapsed time              ,168

SPV        background elapsed time                                 0

SPV        PL/SQL execution elapsed time                           0

SPV        PL/SQL compilation elapsed time                         0

SPV        Java execution elapsed time                             0

SPV        inbound PL/SQL rpc elapsed time                         0

SPV        hard parse (bind mismatch) elapsed time                 0

SPV        background cpu time                                     0

SPV        failed parse elapsed time                               0

SPV        hard parse (sharing criteria) elapsed time              0

SPV        failed parse (out of shared memory) elapsed time        0

SPV        sequence load elapsed time                              0


This is an excerpt from my latest book "Oracle Tuning: The Definitive Reference". 

You can buy it direct from the publisher for 30%-off and get instant access to the code depot of Oracle tuning scripts:




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