Re: Increased runtime and 4 xids for one insert

From: Petr Novak <"Petr>
Date: Wed, 10 Apr 2024 16:34:57 +0000 (UTC)
Message-ID: <1036342577.11467922.1712766897132_at_mail.yahoo.com>



 Hallo Dominic,
col coser format 99999 heading "Co(Ser)"col cosid format 9999 heading "Co(Sid)"col diin format 9999 heading "Di(In)"col disi format 9999 heading "Di(Sid)" select xid, sql_exec_id,SQL_EXEC_START,
coalesce(qc_session_id, session_id) cosid, coalesce(qc_session_serial#, session_serial#) coser, count(distinct instance_number) diin , count(distinct(session_id)) disi,count(*) ,to_char(min(sample_time),'dd.mm hh24:mi:ss') mint,to_char(max(sample_time),'dd.mm hh24:mi:ss') maxt from  dba_hist_active_sess_history where sql_id='fdq9c3q9jfavc' and sample_time>to_date('2404052000','yymmddhh24mi') and sample_time< to_date('2404082100','yymmddhh24mi')and sql_exec_id is not null and sql_exec_start is not nullgroup by xid,sql_exec_id,SQL_EXEC_START,coalesce(qc_session_id, session_id), coalesce(qc_session_serial#, session_serial#)order by SQL_EXEC_START,min(sample_time);

XID                 SQL_EXEC_ID SQL_EXEC_START      Co(Sid) Co(Ser) Di(In) Di(Sid)       COUNT(*) Min(Sample_Time)     Max(Sample_Time)---------------- -------------- ------------------- ------- ------- ------ ------- -------------- -------------------- --------------------                       16777216 05.04.2024 20:13:40    1141   11657      1       5             50 05.04 20:13:44       06.04 04:26:032E00180051D62200       16777216 05.04.2024 20:13:40    1141   11657      1       1          12532 05.04 20:14:25       06.04 14:04:0320001C0008633B00       16777217 06.04.2024 14:04:10    1141   11657      1       1          24486 06.04 14:04:13       08.04 00:55:20                       16777217 06.04.2024 14:04:10    1141   11657      1       3             30 06.04 14:08:29       07.04 01:10:2915001100CD95C100       16777218 08.04.2024 00:55:22    1141   11657      1       1           8986 08.04 00:55:31       08.04 13:42:29                       16777218 08.04.2024 00:55:22    1141   11657      1       4             28 08.04 00:59:06       08.04 03:59:5203001200F4F1B600       16777219 08.04.2024 13:42:30    1141   11657      1       1           4178 08.04 13:42:39       08.04 19:39:05                       16777219 08.04.2024 13:42:30    1141   11657      1       4             24 08.04 13:48:48       08.04 18:20:44

So there were different SQL_EXEC_IDs.Most samples have XID filled and only 1 Session. There 24-50 samples for every SQL_EXEC_ID without XID, 3-5 different Sessions, about 0.26 percent of all samples.For me it looks like serial execution.I dont understand different SQL_EXEC_IDs - should this mean, there was some app error and statement was restarted ?But there were no errors in alert.log , no snapshot too old error in dba_hist_undostat Active Extents in dba_hist_undostat start on 5th April 8PM from 4GB, reach 87 GB on 6th April 5 AM,remain constant till 6th April 2 PM (9 hours) , then abruptly go back to 9 GB, reach  98GB on 6th April 10 PM, remain constant till 8th April 3 AM (29 hours), then abruptly to 77 GB, reach 89GB on 8th  April 4AM,remain constant till 8th April 1 PM (9 hours), then abruptly to 1G, reach 111 GB on 8th April at 8 PM, then goes to 0.Dissmiss of active extents is related to start of new XID.Could these long hours with constant number of active extents be related to work on compression ? Best Regards,Petr

    Am Mittwoch, 10. April 2024 um 17:12:52 MESZ hat Dominic Brooks <dombrooks_at_hotmail.com> Folgendes geschrieben:  

 #yiv3921392174 P {margin-top:0;margin-bottom:0;}The formatting of the ASH data is hard to digest.

A couple of points of order on ASH queries here - 

  • I would always include sql_exec_id as 

sql_id + sql_exec_id + sql_exec_start should be unique to an instance.

  • if it's a parallel insert then you should be able to tell from QC_SESSION_ID
  • I nearly always end up deliberately omitting rows where sql_id and sql_exec_id are null unless I'm looking for a parsing issue.

So my initial aggregation query would be something like this: select xid, sql_exec_id, sql_exec_start, coalesce(qc_session_id, session_id), coalesce(qc_session_serial#, session serial#), count(distinct instance_number), count(session_id),count(*), to_char(min(sample_time),'dd.mm hh24:mi:ss') mint, to_char(max(sample_time),'dd.mm hh24:mi:ss') maxtfrom  dba_hist_active_sess_historywhere sql_id='fdq9c3q9jfavc'and sql_exec_id is not null and sql_exec_start is not null...which also tells me whether it's parallel or not and if parallel how many sessions were sampled participating.

if it's a parallel execution then DBMS_XPLAN should be able to tell you why it's parallel if the code is not explicitly requesting parallel.

If it is parallel then perhaps you want the insert to be parallelised as well? At least part of the answers might be visible in your own (unaggregated) ASH data. If there was blocking, etc and anything which would account for timing discrepancies etc. 11 million rows taking 3.5 hours sound way too long in the first place.

An ever increasing execution time indicates an ever increasing amount of work. Either a symptom/consequence of what was done before (or not done or failed) Leaving behind consequences for the next. UNDO can be a strong indicator here of either something like delayed block cleanout or concurrent executions of this (or something else) against the same objects. However please also note that ASH data columns can be cleared out lazily.So  it's highly likely that CURRENT_FILE# is only set/reset when you're waiting on an IO event. So if you join across all ASH data but the event is not an IO event, you might well end up with a large mispresentation of what was going on. Other things - perhaps some suboptimal implementation elsewhere - e.g. an ETL process which just does a DELETE from T_SOURCE rather than a TRUNCATE leaving more and more empty blocks to be scanned the next time.

What ASH can often not be able to tell you is WHY something is being done. Some samples of session stats can be useful here - particularly in the case of why something is reading UNDO significantly, if that's what was happening. Try picking an execution out of sql monitoring (preferably in memory from gv$sql_monitor or  else from dba_hist_reports) . At least you should get a holistic summary of where the time went.

Hope this helps.
Cheers,
Dominic
From: oracle-l-bounce_at_freelists.org <oracle-l-bounce_at_freelists.org> on behalf of Petr Novak <dmarc-noreply_at_freelists.org> Sent: 10 April 2024 13:34
To: Oracle List <oracle-l_at_freelists.org> Subject: Increased runtime and 4 xids for one insert Hallo, there is problem with increasing execution time of simple Insert statement.(insert into T_TARGET select * from T_SOURCE)Execution time increased overproportionally to increased number of rows.11 millions rows  took 3,5 hours  , 38 million rows 3 days.T_TARGET is 1,5 TB range partitioned table , 1469 partitions and 5 local indexes (same partitioned key as the table). for shorter execution time there was one XID, but for long execution time 4 XIDs  ?? select xid, SQL_EXEC_START,SESSION_ID,SESSION_SERIAL#,count(*) ,to_char(min(sample_time),'dd.mm hh24:mi:ss') mint,to_char(max(sample_time),'dd.mm hh24:mi:ss') maxt from  dba_hist_active_sess_history where sql_id='fdq9c3q9jfavc' and sample_time>to_date('2404052000','yymmddhh24mi') and sample_time< to_date('2404082100','yymmddhh24mi')group by xid,SQL_EXEC_START,SESSION_ID,SESSION_SERIAL# order by SQL_EXEC_START,min(sample_time);

XID              SQL_EXEC_START          SESSION_ID SESSION_SERIAL#       COUNT(*) Min(IntervalEnd)     Max(IntervalEnd)---------------- ------------------- -------------- --------------- -------------- -------------------- --------------------                 05.04.2024 20:13:40           1141           11657              8 05.04 20:13:44       05.04 20:14:152E00180051D62200 05.04.2024 20:13:40           1141           11657          12532 05.04 20:14:25       06.04 14:04:03                 05.04.2024 20:13:40           1064           35873             12 05.04 20:39:31       06.04 01:42:10                 05.04.2024 20:13:40           1016           54350              8 05.04 20:49:35       05.04 22:16:08                 05.04.2024 20:13:40           1103            5986             16 05.04 21:00:10       06.04 02:49:36                 05.04.2024 20:13:40            986           61332              6 05.04 21:34:39       06.04 04:26:0320001C0008633B00 06.04.2024 14:04:10           1141           11657          24486 06.04 14:04:13       08.04 00:55:20                 06.04.2024 14:04:10           1057           63794              6 06.04 14:08:29       07.04 01:10:29                 06.04.2024 14:04:10           1026           41466              8 06.04 14:21:17       06.04 23:58:37                 06.04.2024 14:04:10           1103           51053             16 06.04 14:36:49       06.04 22:38:2315001100CD95C100 08.04.2024 00:55:22           1141           11657           8986 08.04 00:55:31       08.04 13:42:29                 08.04.2024 00:55:22           1026            1396              8 08.04 00:59:06       08.04 03:59:52                 08.04.2024 00:55:22           1104           28322              8 08.04 01:05:14       08.04 02:51:25                 08.04.2024 00:55:22           1005           29042              8 08.04 01:21:07       08.04 03:53:02                 08.04.2024 00:55:22           1075           54721              4 08.04 02:05:30       08.04 02:20:0003001200F4F1B600 08.04.2024 13:42:30           1141           11657           4178 08.04 13:42:39       08.04 19:39:05                 08.04.2024 13:42:30            325           35023             10 08.04 13:48:48       08.04 16:16:38                 08.04.2024 13:42:30            296            7915              2 08.04 14:30:27       08.04 14:30:27                 08.04.2024 13:42:30            369           46540              4 08.04 14:55:12       08.04 16:05:22                 08.04.2024 13:42:30            395           14967              8 08.04 15:38:13       08.04 18:20:4403001200F4F1B600                               1141           11657             16 08.04 19:39:15       08.04 19:40:27

In dba_hist_undostat are same 4 execution start times for this query (maxquerylen,maxquerysqlid). During the execution I checked the transaction_start and last_call_et in the session 1141 and it loooked like TX started hours later sincelast_call_et. TX start was one of these SQL_EXEC_STARTsIn dba_hist_sqlstat only one execution is shown, most time was spend with CPU. most ASH samples are related to UNDO TS. select tablespace_name,count(*) from  dba_hist_active_sess_history ,dba_data_files where sql_id='fdq9c3q9jfavc' and CURRENT_FILE#=file_idand sample_time>to_date('2404052000','yymmddhh24mi') and sample_time< to_date('2404082100','yymmddhh24mi')group by tablespace_name order by count(*) desc;

TABLESPACE_NAME                      COUNT(*)------------------------------ --------------UNDOTBS1                                32746RB_STAGING_TAB                          17576
There are also some intervals with increased commit times (2->100ms) , but for me it looks like another issue. I have two main questions :- how it is possible to have for one execution 4 XIDs ?- where the statements spends the time ? Any ideas ?
Best Regards,Petr   
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Received on Wed Apr 10 2024 - 18:34:57 CEST

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