When asked how many transactions per second were happening on each system, I realized that a quick approximation could be derived from the number of SCN changes per second as recorded in the logs, so I wrote the following code.
Management asked for a rough cut on the number of transactions per second because that's how vendors describe their systems. We were looking to replace our systems with newer, larger machines. Rather than just calculate an overall average, I realized that determining utilization by hour would let us identify peak loads so that the new machine could be sized to handle the peaks and not just the daily average. Subsequently, we use it to monitor system utilization: We watch for changes in the level of system utilization and can tell if an user performance concern is due to increased system load.
I've run it on Oracle 8 & 9. It does not work on 7.
set pages 60 set lines 132 set term off ttitle off column dbname new_value dbname column time_stamp new_value time_stamp column timestamp_np noprint column year_np noprint column month_np noprint column mon format a3 column day format a2 set verify off select name dbname, substr(to_char(sysdate,'YYYY-Mon-DD HH24:MI:SS'),1,20) time_stamp from v$database; ttitle left "Transactions (SCNs) per second" center "&dbname" right "&time_stamp" set term on column tps00 format 999 head "00" column tps01 format 999 head "01" column tps02 format 999 head "02" column tps03 format 999 head "03" column
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tps04 format 999 head "04"
column tps05 format 999 head "05"
column tps06 format 999 head "06"
column tps07 format 999 head "07"
column tps08 format 999 head "08"
column tps09 format 999 head "09"
column tps10 format 999 head "10"
column tps11 format 999 head "11"
column tps12 format 999 head "12"
column tps13 format 999 head "13"
column tps14 format 999 head "14"
column tps15 format 999 head "15"
column tps16 format 999 head "16"
column tps17 format 999 head "17"
column tps18 format 999 head "18"
column tps19 format 999 head "19"
column tps20 format 999 head "20"
column tps21 format 999 head "21"
column tps22 format 999 head "22"
column tps23 format 999 head "23"
select * from
(
select substr(year_np,1,8) timestamp_np,
substr(year_np,5,2) Mon, substr(year_np,7,2) Day,
sum(decode(substr(year_np,9,2),'00',1,0) * tps) tps00,
sum(decode(substr(year_np,9,2),'01',1,0) * tps) tps01,
sum(decode(substr(year_np,9,3),'02',1,0) * tps) tps02,
sum(decode(substr(year_np,9,2),'03',1,0) * tps) tps03,
sum(decode(substr(year_np,9,2),'04',1,0) * tps) tps04,
sum(decode(substr(year_np,9,3),'05',1,0) * tps) tps05,
sum(decode(substr(year_np,9,2),'06',1,0) * tps) tps06,
sum(decode(substr(year_np,9,2),'07',1,0) * tps) tps07,
sum(decode(substr(year_np,9,3),'08',1,0) * tps) tps08,
sum(decode(substr(year_np,9,2),'09',1,0) * tps) tps09,
sum(decode(substr(year_np,9,2),'11',1,0) * tps) tps10,
sum(decode(substr(year_np,9,3),'11',1,0) * tps) tps11,
sum(decode(substr(year_np,9,3),'12',1,0) * tps) tps12,
sum(decode(substr(year_np,9,2),'13',1,0) * tps) tps13,
sum(decode(substr(year_np,9,2),'14',1,0) * tps) tps14,
sum(decode(substr(year_np,9,3),'15',1,0) * tps) tps15,
sum(decode(substr(year_np,9,2),'16',1,0) * tps) tps16,
sum(decode(substr(year_np,9,2),'17',1,0) * tps) tps17,
sum(decode(substr(year_np,9,3),'18',1,0) * tps) tps18,
sum(decode(substr(year_np,9,2),'19',1,0) * tps) tps19,
sum(decode(substr(year_np,9,2),'20',1,0) * tps) tps20,
sum(decode(substr(year_np,9,3),'21',1,0) * tps) tps21,
sum(decode(substr(year_np,9,3),'22',1,0) * tps) tps22,
sum(decode(substr(year_np,9,2),'23',1,0) * tps) tps23
from (select to_char(first_time,'YYYYMMDDHH24') year_np,
(max(next_change#) - min(first_change#))/(60 * 60) tps
from v$log_history
group by to_char(first_time,'YYYYMMDDHH24')
)
group by substr(year_np,1,8), substr(year_np,5,2), substr(year_np,7,2)
)
order by timestamp_np
/
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This was first published in September 2002
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