RE: Spotting the real cause of a Production slowdown (10g)
- From: Paula Stankus <paulastankus@xxxxxxxxx>
- To: DGoulet@xxxxxxxx, sac@xxxxxxxxxxxxx, oracle-l@xxxxxxxxxxxxx
- Date: Thu, 20 Apr 2006 10:36:22 -0700 (PDT)
Creating stored scripts in an RMAN database caused a ridiculously large amount
of archivelog space to be generated - why?
Has anyone else had this issue?
Thanks,
Paula
"Goulet, Dick" <DGoulet@xxxxxxxx> wrote:
Paul's statement is a diamond. I've been having a shared pool problem
for a week now. Ran Paul's query & found my offending application in about a
minute. Darn Co-Ops. Oh well I guess we all have to start somewhere.
---------------------------------
From: oracle-l-bounce@xxxxxxxxxxxxx [mailto:oracle-l-bounce@xxxxxxxxxxxxx] On
Behalf Of Schultz, Charles
Sent: Thursday, April 20, 2006 9:53 AM
To: oracle-l@xxxxxxxxxxxxx
Subject: RE: Spotting the real cause of a Production slowdown (10g)
Thanks. Yes, I agree with what you are saying. One of the fallouts from our
case with Oracle Support is that we are bumping up against a bug whereby the
10g SGA auto-sizer will inflate the shared pool indiscriminately, even if you
are flooding it with literal statements (counter-intuitive, as you pointed out
below).
The problem with finding many copies of sql statements that look similar is
how granular do you go? The common method is to substring sql_text from v$sql.
How many characters do you use? To be empirical, one would have to loop through
all reasonable numbers (ie, between 7 and 150). Unless you know something I
don't, which is entirely possible. *grin*
Good point about which processes are consuming CPU - I did not even think
about that. How does one use the Historical view of EM to determine that
information? All I can find is "CPU used" under performance, and if I try to
break it down, I get user processes. But I will keep looking.
Just saw the note from Paul Baumgartel - thanks. I will experiment with the
plan_hash_value.
---------------------------------
From: oracle-l-bounce@xxxxxxxxxxxxx [mailto:oracle-l-bounce@xxxxxxxxxxxxx] On
Behalf Of Dennis Williams
Sent: Thursday, April 20, 2006 8:44 AM
To: Schultz, Charles
Cc: oracle-l@xxxxxxxxxxxxx
Subject: Re: Spotting the real cause of a Production slowdown (10g)
Charles,
I have seen similar problems in earlier versions of Oracle - many literal
statements and a large shared pool. Think about it -- when a new SQL statement
is received, Oracle must check to see if it has ever received that statement
before. The larger the shared pool, the more area it must scan. Of course, it
doesn't find a match, so it must parse the new statement. Then it must find a
spot in the shared pool to place the newly parsed statement. Which means it
must age something out. And if the application is hammering Oracle with these
statements inside a loop, it gets challenging for Oracle to keep up. If this is
the situation, the answer is not to increase the size of the shared pool,
because that just aggravates the problem.
Rather than looking for the single statement that is getting issued the
most, you may want to look a lot of statements that are issued once but look
very similar, like
select col1 from employee where empno = 1;
select col2 from employee where empno = 2;
In our case, the solution was to get the developers to recode the worst
offenders to bind variables.
Also, you didn't mention which Oracle processes were consuming so much
CPU.
Dennis Williams
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- References:
- RE: Spotting the real cause of a Production slowdown (10g)
- From: Goulet, Dick
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- RE: Spotting the real cause of a Production slowdown (10g)
- From: Goulet, Dick