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Just had a thought here, have not tried it yet. I have a database that I am
working with that is generating 28 GB of redo each day. I would really like
to know what objects are generating all this redo without going through the
hassle of mining a bunch of log files. It occurred to me that if table
monitoring is active and my stats are up to date I should be able to
multiply the total number of updates, inserts and commits by the average row
size and get a rough % of what objects are generating the most redo.
I am sure there are a number of other factors I need to consider, any ideas what they are?
The goal is to identify the objects, then identify the jobs that work on those objects and see if I can reduce redo. I suspect a lot of this redo is being generated because of some poor design issues.
Thanks!
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