Hi!

Yes Yong I agree with you, that rebuilding may be beneficial in some cases,
especially some tables/indexes become either logically or physically read
only (btw, I was not speaking about coalescing in my post, it's a different
story anyway).

But the point I wanted to make is that single query's speed (LIO amount)
right after rebuilding index doesn't usually give us enough information to
determine whether overall system speed will go better in long term. When you
have rebuilt an index, it becomes more compact, causing more recursive
operations for block splits and perhaps index height changes in the future.
Also, in heavily loaded 24x7 environments with no real low-peak time, the
additional CPU, IO and brief exclusive lock usage may cause more harm than
it gives benefit. And often this benefit is only short term in regular OLTP
systems.

But in some cases, as when you've deleted a number of rows from your table
or done a lot of updates and you never expect these keys to be back in the
index, a rebuild can be justified.

Tanel.

----- Original Message ----- 
To: "Multiple recipients of list ORACLE-L" <[EMAIL PROTECTED]>
Sent: Friday, December 05, 2003 10:29 PM


> Tanel,
>
> I think you're saying a query almost always runs faster right after the
index
> rebuild and there's no point in finding the criterion whether to rebuild
an
> index. (What is "42"?)
>
> Some time ago I posted a message somewhere else showing a case where
rebuilding
> or coalescing an index may be benefitial. A data warehouse is found to
have
> some data errors. Deletes and updates are done. Then the database goes to
> mostly read-only again, and will last for a month or quarter. Then
shrinking
> frequently used B*Tree indexes is a good idea. Now I'd like to add one
more
> criterion as a result of reading Jonathan Lewis' dbazine article and email
with
> him (errors are mine): the index is full scanned, or if range scanned or
unique
> scanned, the index selectivity has to be fairly low (but not too low for
the
> index to be ignored by CBO).
>
> In a typical working environment, a data warehouse does have plenty of
> relatively quiet period. I worked on a monthly data load project at an
> insurance company. I remember we rebuilt a partitioned IOT (one partition
at a
> time) and fast full index scan (certain partitions) did run faster.
>
> There're some errors in Don Burleson's dbazine article (e.g. pct_used in
> dba_indexes) and Mike Hordila's Oramag article (structurally unbalanced
index).
> But one thing alluded to in there is important: study Oracle performance
> problems as scientific research. You said setting _wait_for_sync to false
> improves performance. That's a fact. We can only explain and analyze it
but not
> deny it. Similarly, when Mike says queries run 10 to 50% faster after
index
> rebuild, we can't deny unless we find his measurement is wrong. Wouldn't
it be
> nice if Oracle researchers write articles with sections like Abstract -
> Experimental - Results - Discussion in that order?
>
> Yong Huang
>
> Tanel Poder wrote:
>
> There's no point of arguing about whether a query ran faster right after
you
> rebuilt your index. Nor there is no point in finding some ultimate
algorithm
> for finding the point of index rebuilding, we all know the answer - it's
> "42".
>
> Instead, a long stress test has to be done, e.g. running 10 millions of
> continous transactions and queries (simulating real life). Do one 10M
> without rebuilding indexes in the meantime, measure total execution time,
IO
> amount, CPU usage, segment sizes etc.
>
> Then restore your database back to starting point and do the same test
again
> with regular index rebuilds during the operations (online or taking
"users"
> offline, depending on environment type). And then measure the same
> statistics, especially total execution time. Note, that statistics and
time
> also for rebuilding indexes should be accounted in totals, because in real
> life they don't just disappear somewhere as in some simple-minded tests.
>
> Tanel.
>
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Author: Tanel Poder
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