Garuda Oracle SQL postgresql AWS blog: archive log

if space is full then change the archive location

alter system set log_archive_dest_1='location=USE_DB_RECOVERY_FILE_DEST';

col program for a10
col username for a10
select to_char(sysdate,’hh24:mi’), username, program , a.sid, a.serial#, b.name, c.value
from v$session a, v$statname b, v$sesstat c
where b.STATISTIC# =c.STATISTIC#
and c.sid=a.sid and b.name like ‘redo%’
order by value;

===================Archivelog generation on a daily basis===============
set pages 1000
select trunc(COMPLETION_TIME,'DD') Day, thread#, round(sum(BLOCKS*BLOCK_SIZE)/1048576) MB,count(*) Archives_Generated from v$archived_log

group by trunc(COMPLETION_TIME,'DD'),thread# order by 1;

===================Archive log generation on an hourly basis====================
set pages 1000
select trunc(COMPLETION_TIME,'HH') Hour,thread# , round(sum(BLOCKS*BLOCK_SIZE)/1048576) MB,count(*) Archives from v$archived_log

group by trunc(COMPLETION_TIME,'HH'),thread# order by 1 ;

-- Show the Number of Redo Log Switches Per Hour
--

SET PAUSE ON
SET PAUSE 'Press Return to Continue'
SET PAGESIZE 60
SET LINESIZE 300

SELECT to_char(first_time, 'yyyy - mm - dd') aday,
to_char(first_time, 'hh24') hour,
count(*) total
FROM v$log_history
WHERE thread#=&EnterThreadId
GROUP BY to_char(first_time, 'yyyy - mm - dd'),
to_char(first_time, 'hh24')
ORDER BY to_char(first_time, 'yyyy - mm - dd'),
to_char(first_time, 'hh24') asc
/

############script to list the history of log switches per hour over the last week#######
SET PAGESIZE 90
SET LINESIZE 150
set heading on
column "00:00" format 9999
column "01:00" format 9999
column "02:00" format 9999
column "03:00" format 9999
column "04:00" format 9999
column "05:00" format 9999
column "06:00" format 9999
column "07:00" format 9999
column "08:00" format 9999
column "09:00" format 9999
column "10:00" format 9999
column "11:00" format 9999
column "12:00" format 9999
column "13:00" format 9999
column "14:00" format 9999
column "15:00" format 9999
column "16:00" format 9999
column "17:00" format 9999
column "18:00" format 9999
column "19:00" format 9999
column "20:00" format 9999
column "21:00" format 9999
column "22:00" format 9999
column "23:00" format 9999
SELECT * FROM (
SELECT * FROM (
SELECT TO_CHAR(FIRST_TIME, 'DD/MM') AS "DAY"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '00', 1, 0), '99')) "00:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '01', 1, 0), '99')) "01:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '02', 1, 0), '99')) "02:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '03', 1, 0), '99')) "03:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '04', 1, 0), '99')) "04:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '05', 1, 0), '99')) "05:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '06', 1, 0), '99')) "06:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '07', 1, 0), '99')) "07:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '08', 1, 0), '99')) "08:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '09', 1, 0), '99')) "09:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '10', 1, 0), '99')) "10:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '11', 1, 0), '99')) "11:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '12', 1, 0), '99')) "12:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '13', 1, 0), '99')) "13:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '14', 1, 0), '99')) "14:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '15', 1, 0), '99')) "15:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '16', 1, 0), '99')) "16:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '17', 1, 0), '99')) "17:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '18', 1, 0), '99')) "18:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '19', 1, 0), '99')) "19:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '20', 1, 0), '99')) "20:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '21', 1, 0), '99')) "21:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '22', 1, 0), '99')) "22:00"
, SUM(TO_NUMBER(DECODE(TO_CHAR(FIRST_TIME, 'HH24'), '23', 1, 0), '99')) "23:00"
FROM V$LOG_HISTORY
WHERE extract(year FROM FIRST_TIME) = extract(year FROM sysdate)
GROUP BY TO_CHAR(FIRST_TIME, 'DD/MM')
) ORDER BY TO_DATE(extract(year FROM sysdate) || DAY, 'YYYY DD/MM') DESC
) WHERE ROWNUM <8;

================archivelog switches on an hourly basis that happened in the past one week===================
SELECT to_date(first_time) DAY,
to_char(sum(decode(to_char(first_time,'HH24'),'00',1,0)),'99') "00",
to_char(sum(decode(to_char(first_time,'HH24'),'01',1,0)),'99') "01",
to_char(sum(decode(to_char(first_time,'HH24'),'02',1,0)),'99') "02",
to_char(sum(decode(to_char(first_time,'HH24'),'03',1,0)),'99') "03",
to_char(sum(decode(to_char(first_time,'HH24'),'04',1,0)),'99') "04",
to_char(sum(decode(to_char(first_time,'HH24'),'05',1,0)),'99') "05",
to_char(sum(decode(to_char(first_time,'HH24'),'06',1,0)),'99') "06",
to_char(sum(decode(to_char(first_time,'HH24'),'07',1,0)),'99') "07",
to_char(sum(decode(to_char(first_time,'HH24'),'08',1,0)),'99') "08",
to_char(sum(decode(to_char(first_time,'HH24'),'09',1,0)),'99') "09",
to_char(sum(decode(to_char(first_time,'HH24'),'10',1,0)),'99') "10",
to_char(sum(decode(to_char(first_time,'HH24'),'11',1,0)),'99') "11",
to_char(sum(decode(to_char(first_time,'HH24'),'12',1,0)),'99') "12",
to_char(sum(decode(to_char(first_time,'HH24'),'13',1,0)),'99') "13",
to_char(sum(decode(to_char(first_time,'HH24'),'14',1,0)),'99') "14",
to_char(sum(decode(to_char(first_time,'HH24'),'15',1,0)),'99') "15",
to_char(sum(decode(to_char(first_time,'HH24'),'16',1,0)),'99') "16",
to_char(sum(decode(to_char(first_time,'HH24'),'17',1,0)),'99') "17",
to_char(sum(decode(to_char(first_time,'HH24'),'18',1,0)),'99') "18",
to_char(sum(decode(to_char(first_time,'HH24'),'19',1,0)),'99') "19",
to_char(sum(decode(to_char(first_time,'HH24'),'20',1,0)),'99') "20",
to_char(sum(decode(to_char(first_time,'HH24'),'21',1,0)),'99') "21",
to_char(sum(decode(to_char(first_time,'HH24'),'22',1,0)),'99') "22",
to_char(sum(decode(to_char(first_time,'HH24'),'23',1,0)),'99') "23"
from
v$log_history
where to_date(first_time) > sysdate -30
GROUP by
to_char(first_time,'YYYY-MON-DD'), to_date(first_time)
order by to_date(first_time)
/

===list archived files not backed-up============
select NAME, ARCHIVED , deleted, status from v$archived_log where status='A';
####
RUN
{
ALLOCATE CHANNEL ch1 DEVICE TYPE DISK FORMAT '/u02/export_dir/rman_arch/STATV10_archive%U';
ALLOCATE CHANNEL ch2 DEVICE TYPE DISK FORMAT '/u02/export_dir/rman_arch/STATV10_archive%U';
backup AS COMPRESSED BACKUPSET archivelog all delete input ;
}

###
####Recovery time for one archive log on standby###

set linesize 400
col Values for a65
col Recover_start for a21
select to_char(START_TIME,'dd.mm.yyyy hh24:mi:ss') "Recover_start",to_char(item)||' = '||to_char(sofar)||' '
||to_char(units)||' '|| to_char(TIMESTAMP,'dd.mm.yyyy hh24:mi') "Values" from v$recovery_progress where start_time=(select max(start_time)
from v$recovery_progress);

##List the sessions and the generated redo in MB if the session is still connected.
This was the query I used to use whenever I notice a huge archive log generation.

select s.username, s.osuser, s.status,s.sql_id, sr.* from
(select sid, round(value/1024/1024) as "RedoSize(MB)"
from v$statname sn, v$sesstat ss
where sn.name = 'redo size'
and ss.statistic# = sn.statistic#
order by value desc) sr,
v$session s
where sr.sid = s.sid
and rownum <= 10;

###To Know which table / object has more number of changes during the problematic window###

1.

SELECT to_char(begin_interval_time,'YYYY_MM_DD HH24:MI') snap_time,
dhsso.object_name,
sum(db_block_changes_delta) as maxchages
FROM dba_hist_seg_stat dhss,
dba_hist_seg_stat_obj dhsso,
dba_hist_snapshot dhs
WHERE dhs.snap_id = dhss.snap_id
AND dhs.instance_number = dhss.instance_number
AND dhss.obj# = dhsso.obj#
AND dhss.dataobj# = dhsso.dataobj#
AND begin_interval_time BETWEEN to_date('2013_05_22 17','YYYY_MM_DD HH24')
AND to_date('2013_05_22 21','YYYY_MM_DD HH24')
GROUP BY to_char(begin_interval_time,'YYYY_MM_DD HH24:MI'),
dhsso.object_name order by maxchages asc;

###Tables has more number of changes###
2.

SNAP_TIME OBJECT_NAME MAXCHAGES
---------------- ------------------------------ ----------
2017_03_03 14:00 SIGNAL_MASCHINE 10144
2017_03_03 13:00 SIGNAL_MASCHINE 10240
2017_03_03 12:00 SIGNAL_MASCHINE 11728
2017_03_03 15:00 SIGNAL_MASCHINE 12000
2017_03_03 12:00 ICOL$ 24000
2017_03_03 14:00 I_COL1 24096
2017_03_03 14:00 ICOL$ 24208
2017_03_03 14:00 I_COL3 24240
2017_03_03 14:00 I_COL2 24336
2017_03_03 12:00 I_COL2 24352
2017_03_03 12:00 I_COL3 24432
2017_03_03 12:00 I_COL1 24576
2017_03_03 13:00 I_COL3 27456
2017_03_03 13:00 I_COL1 27792
2017_03_03 13:00 I_COL2 27824
2017_03_03 13:00 ICOL$ 27936
2017_03_03 15:00 ICOL$ 31760
2017_03_03 15:00 I_COL1 32864
2017_03_03 15:00 I_COL2 32896
2017_03_03 15:00 I_COL3 33616
2017_03_03 15:00 TPM_SCHICHT 101328
2017_03_03 12:00 ALIVETIMER 22931616
2017_03_03 13:00 ALIVETIMER 23646176
2017_03_03 14:00 ALIVETIMER 23965088
2017_03_03 15:00 ALIVETIMER 25387744

####Once you know the objects ,get the SQL information realted to those objects#####
3.

SELECT to_char(begin_interval_time,'YYYY_MM_DD HH24:MI'),
dbms_lob.substr(sql_text,4000,1),
dhss.instance_number,
dhss.sql_id,executions_delta,rows_processed_delta
FROM dba_hist_sqlstat dhss,
dba_hist_snapshot dhs,
dba_hist_sqltext dhst
WHERE upper(dhst.sql_text) LIKE '%TPM_SCHICHT%'
AND dhss.snap_id=dhs.snap_id
AND dhss.instance_Number=dhs.instance_number
AND begin_interval_time BETWEEN to_date('2017_03_03 10','YYYY_MM_DD HH24')
AND to_date('2017_03_03 16','YYYY_MM_DD HH24')
AND dhss.sql_id = dhst.sql_id;

#####Once you know the SQL ID ,
Get the program and userid who is running it and intimate the user to take care of this query / Program.
4.

SELECT instance_number, to_char(sample_time,'yyyy_mm_dd hh24:mi:ss'),
user_id,program FROM dba_hist_active_sess_history WHERE sql_id in ('5xmfm787py0a3','bq28gpz5w5qqg','71t5d196acgr9','a8d5br4z9m251')
AND snap_id BETWEEN 31856 AND 31860 ;

###########This view contains the column BLOCK_CHANGES which indicates how much blocks have been changed by the session#####

SELECT s.sid, s.serial#, s.username, s.program,i.block_changes FROM v$session s, v$sess_io i WHERE s.sid = i.sid ORDER BY 5 desc, 1, 2, 3, 4;

#####Query V$TRANSACTION. This view contains information about the amount of undo blocks and undo records accessed by the transaction (as found in the USED_UBLK and USED_UREC columns).

SELECT s.sid, s.serial#, s.username, s.program,
t.used_ublk, t.used_urec
FROM v$session s, v$transaction t
WHERE s.taddr = t.addr
ORDER BY 5 desc, 6 desc, 1, 2, 3, 4;

SELECT s.sid, s.serial#, s.username, s.program,
t.used_ublk, t.used_urec
FROM v$session s, v$transaction t
WHERE s.taddr = t.addr
ORDER BY 5 desc, 6 desc, 1, 2, 3, 4;

select sql.sql_text sql_text, t.USED_UREC Records, t.USED_UBLK Blocks,
(t.USED_UBLK*8192/1024) KBytes from v$transaction t,
v$session s,
v$sql sql
where t.addr = s.taddr
and s.sql_id = sql.sql_id
and s.username ='&USERNAME';

###########Sessions generating more redo or SQL queries generate heavy archive logs########
set lines 2000
set pages 1000
col sid for 99999
col name for a09
col username for a14
col PROGRAM for a21
col MODULE for a25
select s.sid,sn.SERIAL#,n.name, round(value/1024/1024,2) redo_mb, sn.username,sn.status,substr (sn.program,1,21) "program", sn.type, sn.module,sn.sql_id
from v$sesstat s join v$statname n on n.statistic# = s.statistic#
join v$session sn on sn.sid = s.sid where n.name like 'redo size' and s.value!=0 order by
redo_mb desc;

Garuda Oracle SQL postgresql AWS blog

Monday, 22 June 2020

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