RE: inefficient sql

Good point by Raj.  I have an internally developed snapshot capture that I can 
run over a 24-hour period, or a week or whatever I desire.

The upshot of this data I capture is that I can run a report off of it to list 
SQL statements by executions and elapsed time per execution.  That way I can 
focus on the SQLs that get executed the most that take the most elapsed time 
per execution.  (Focusing on what the users are waiting on)

It's ugly (at least to me) but it's handy as I also capture all the bind 
variables for the executions.  The binds snapshot table can grow very large 
very quickly.

Chris Taylor

"Quality is never an accident; it is always the result of intelligent effort."
-- John Ruskin (English Writer 1819-1900)

Any views and/or opinions expressed herein are my own and do not necessarily 
reflect the views of Ingram Industries, its affiliates, its subsidiaries or its 
employees. 

-----Original Message-----
From: oracle-l-bounce@xxxxxxxxxxxxx [mailto:oracle-l-bounce@xxxxxxxxxxxxx] On 
Behalf Of rjamya
Sent: Wednesday, May 30, 2012 9:25 AM
To: oracle-l@xxxxxxxxxxxxx
Subject: Re: inefficient sql

I'd say that you need to define what _inefficient_ means in your environment 
since your workload is different then everyone else's. The considerations will 
be different for OLTP/DSS/DW and something else for exadata systems.
Many moons ago, I wrote a query that would scan through automatically generated 
ADDM reports (scanning the views), for last n days, look at all sqls identified 
as candidates for tuning and list them including how many times they were 
identified as candidates. Also scanned db parameter changes if those were 
recommended by ADDM runs as a handy html report. On occasions we found it to be 
very handy. This was slightly better than looking at a single addm report for 
us.

However due to employment contract, I had to leave the only copy with my 
employer, some day I might need to revisit the topic and try to rewrite it.

Raj


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