2026-03-12 20:23:15
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211
vg/awr_loadprofile_by_statname_hourlybreakdown_delta.sql
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211
vg/awr_loadprofile_by_statname_hourlybreakdown_delta.sql
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@@header
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/*
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*
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* Author : Vishal Gupta
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* Purpose : Display hourly load profile from AWR for statistics passed as input
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* All figures delta between two consecutive snapshots
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* Parameter : 1 - InstanceNumber (Use % for all instances)
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* 2 - From Timestamp (In YYYY-MM-DD HH24:MI:SS format)
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* 3 - To Timestamp (In YYYY-MM-DD HH24:MI:SS format)
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* 4 - Statistics Name (Exact Name, use @statname script to find exact name)
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*
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*
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*
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* Revision History:
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* ===================
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* Date Author Description
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* --------- ------------ -----------------------------------------
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* 25-May-12 Vishal Gupta Intial version
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*
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*/
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/************************************
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* INPUT PARAMETERS
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************************************/
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UNDEFINE INST_ID
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UNDEFINE FROM_TIMESTAMP
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UNDEFINE FROM_TIMESTAMP
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UNDEFINE STAT_NAME
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DEFINE INST_ID="&&1"
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DEFINE FROM_TIMESTAMP="&2"
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DEFINE TO_TIMESTAMP="&3"
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DEFINE STAT_NAME="&4"
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/************************************
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* CONFIGURATION PARAMETERS
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************************************/
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DEFINE FORMAT="99999"
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DEFINE TOTAL_FORMAT="999,999"
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DEFINE HEADING=""
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DEFINE DIVIDER=""
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COLUMN _HEADING NEW_VALUE HEADING NOPRINT
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COLUMN _DIVIDER NEW_VALUE DIVIDER NOPRINT
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set term off
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SELECT CASE
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--WHEN UPPER('&&STAT_NAME') LIKE '%CPU%' THEN '#'
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WHEN UPPER('&&STAT_NAME') LIKE '%CPU%' THEN 'thousands'
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--WHEN UPPER('&&STAT_NAME') LIKE '%CPU%' THEN 'millions'
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--WHEN UPPER('&&STAT_NAME') LIKE '%TIME%' THEN 'sec'
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--WHEN UPPER('&&STAT_NAME') LIKE '%TIME%' THEN 'min'
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WHEN UPPER('&&STAT_NAME') LIKE '%TIME%' THEN 'hour'
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--WHEN UPPER('&&STAT_NAME') LIKE '%BYTES%' THEN 'KB'
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--WHEN UPPER('&&STAT_NAME') LIKE '%BYTES%' THEN 'MB'
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WHEN UPPER('&&STAT_NAME') LIKE '%BYTES%' THEN 'GB'
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ELSE '#'
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END "_HEADING"
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, CASE
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--WHEN UPPER('&&STAT_NAME') LIKE '%CPU%' THEN '1'
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WHEN UPPER('&&STAT_NAME') LIKE '%CPU%' THEN '1000'
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--WHEN UPPER('&&STAT_NAME') LIKE '%CPU%' THEN '1000000'
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--WHEN UPPER('&&STAT_NAME') LIKE '%TIME%' THEN '100'
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--WHEN UPPER('&&STAT_NAME') LIKE '%TIME%' THEN '60/100'
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WHEN UPPER('&&STAT_NAME') LIKE '%TIME%' THEN '60/60/100'
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--WHEN UPPER('&&STAT_NAME') LIKE '%BYTES%' THEN '1024'
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--WHEN UPPER('&&STAT_NAME') LIKE '%BYTES%' THEN '1024/1024'
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WHEN UPPER('&&STAT_NAME') LIKE '%BYTES%' THEN '1024/1024/1024'
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ELSE '1'
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END "_DIVIDER"
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FROM DUAL;
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set term on
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--DEFINE HEADING="#"
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--DEFINE DIVIDER="1"
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--&&_IF_COUNT_METRIC DEFINE HEADING="'1000s"
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--&&_IF_COUNT_METRIC DEFINE DIVIDER="1000"
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--&&_IF_TIME_METRIC DEFINE HEADING="minutes"
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--&&_IF_TIME_METRIC DEFINE DIVIDER="60/100"
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--&&_IF_TIME_METRIC DEFINE HEADING="hour"
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--&&_IF_TIME_METRIC DEFINE DIVIDER="60/60/100"
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--DEFINE HEADING="KB"
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--DEFINE DIVIDER="1024"
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--DEFINE HEADING="MB"
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--DEFINE DIVIDER="1024/1024"
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--&&_IF_BYTES_METRIC DEFINE HEADING="GB"
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--&&_IF_BYTES_METRIC DEFINE DIVIDER="1024/1024/1024"
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PROMPT
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PROMPT ####################################################################################
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PROMPT #
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PROMPT # S Y S T E M S T A T I S T I C S T R E N D
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PROMPT #
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PROMPT # From AWR Repository (Delta Figures)
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PROMPT # - Statistic Name - "&&STAT_NAME"
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PROMPT # - For Instance ID - &INST_ID
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PROMPT # - Snap Between - &&FROM_TIMESTAMP AND &&TO_TIMESTAMP (YYYY-MM-DD HH24:MI:SS)
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PROMPT #
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PROMPT # (All Figures are in &&HEADING)
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PROMPT #
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PROMPT ####################################################################################
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COLUMN "Date" HEADING "Date" FORMAT A9
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COLUMN "Day" HEADING "Day" FORMAT A3
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COLUMN "Total" HEADING "Day|Total" FORMAT &&TOTAL_FORMAT
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COLUMN h0 HEADING "h0" FORMAT &&FORMAT
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COLUMN h1 HEADING "h1" FORMAT &&FORMAT
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COLUMN h2 HEADING "h2" FORMAT &&FORMAT
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COLUMN h3 HEADING "h3" FORMAT &&FORMAT
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COLUMN h4 HEADING "h4" FORMAT &&FORMAT
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COLUMN h5 HEADING "h5" FORMAT &&FORMAT
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COLUMN h6 HEADING "h6" FORMAT &&FORMAT
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COLUMN h7 HEADING "h7" FORMAT &&FORMAT
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COLUMN h8 HEADING "h8" FORMAT &&FORMAT
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COLUMN h9 HEADING "h9" FORMAT &&FORMAT
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COLUMN h10 HEADING "h10" FORMAT &&FORMAT
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COLUMN h11 HEADING "h11" FORMAT &&FORMAT
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COLUMN h12 HEADING "h12" FORMAT &&FORMAT
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COLUMN h13 HEADING "h13" FORMAT &&FORMAT
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COLUMN h14 HEADING "h14" FORMAT &&FORMAT
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COLUMN h15 HEADING "h15" FORMAT &&FORMAT
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COLUMN h16 HEADING "h16" FORMAT &&FORMAT
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COLUMN h17 HEADING "h17" FORMAT &&FORMAT
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COLUMN h18 HEADING "h18" FORMAT &&FORMAT
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COLUMN h19 HEADING "h19" FORMAT &&FORMAT
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COLUMN h20 HEADING "h20" FORMAT &&FORMAT
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COLUMN h21 HEADING "h21" FORMAT &&FORMAT
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COLUMN h22 HEADING "h22" FORMAT &&FORMAT
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COLUMN h23 HEADING "h23" FORMAT &&FORMAT
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WITH snap
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AS
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(SELECT s.dbid
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, s.instance_number
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, s.snap_id
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, LAG (s.snap_id) OVER (PARTITION BY s.dbid, s.instance_number ORDER BY s.dbid, s.instance_number, s.snap_id) prev_snap_id
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, s.end_interval_time
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FROM dba_hist_snapshot s
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, v$database d
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WHERE s.dbid = d.dbid
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AND s.instance_number LIKE '&&INST_ID'
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AND s.end_interval_time BETWEEN TO_TIMESTAMP('&&FROM_TIMESTAMP','YYYY-MM-DD HH24:MI:SS') - 1/24
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AND TO_TIMESTAMP('&&TO_TIMESTAMP','YYYY-MM-DD HH24:MI:SS')
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)
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SELECT /*+ LEADING(s sn) USE_NL(s sn ss ss_prev) */
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TO_CHAR(trunc(s.end_interval_time),'DD-Mon-YY') "Date"
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, TO_CHAR(trunc(s.end_interval_time), 'Dy') "Day"
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, ROUND(SUM(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)) / &&DIVIDER ) Total
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'00',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h0"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'01',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h1"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'02',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h2"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'03',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h3"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'04',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h4"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'05',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h5"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'06',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h6"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'07',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h7"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'08',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h8"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'09',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h9"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'10',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h10"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'11',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h11"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'12',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h12"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'13',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h13"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'14',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h14"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'15',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h15"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'16',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h16"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'17',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h17"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'18',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h18"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'19',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h19"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'20',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h20"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'21',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h21"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'22',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h22"
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, ROUND(SUM(DECODE(TO_CHAR(s.end_interval_time, 'hh24'),'23',(ss.value - LEAST(NVL(ss_prev.value,ss.value),ss.value)),0)) / &&DIVIDER ) "h23"
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FROM snap s
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, dba_hist_stat_name sn
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, dba_hist_sysstat ss
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, dba_hist_sysstat ss_prev
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WHERE ss.dbid = s.dbid
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AND ss.instance_number = s.instance_number
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AND ss.snap_id = s.snap_id
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AND ss_prev.dbid = s.dbid
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AND ss_prev.instance_number = s.instance_number
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AND ss_prev.snap_id = s.prev_snap_id
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AND ss_prev.stat_id = ss.stat_id
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AND sn.dbid = s.dbid
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AND sn.stat_id = ss.stat_id
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AND UPPER(sn.stat_name) = UPPER('&&STAT_NAME')
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GROUP BY trunc(s.end_interval_time)
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ORDER BY trunc(s.end_interval_time) asc
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/
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@@footer
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