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RE: [sqr-users] Insert -SQR
Another thing you may want to try is to partition this
table. If your 8 million record table is broken down
and partitions reside in different tablespaces, this
may dramatically improve performance.
Greg.
--- "Knapp, Richard" <KnappR@umsystem.edu> wrote:
>
> Hi Lisa,
>
> I agree with your consultant on dropping and
> rebuilding the indexes. Also, make sure you use
> indexed fields for your joins and use as many of
> them as possible in both main and sub queries.
>
> I have had some success speeding things up in
> loading values from small tables used for lookup
> into arrays. You just have to try this to see if it
> will work for you. Put a timer routine in your
> program and call it from key points to see just
> where the slow up is.
>
> Richard Knapp
> Database Programmer/Analyst
> Institutional Research and Planning
> University of Missouri System
> 573-882-8856
> knappr@umsystem.edu
>
>
> -----Original Message-----
> From: Smyth Lisa G Contr AEDC/ACS
> [mailto:Lisa.Smyth@arnold.af.mil]
> Sent: Thursday, October 31, 2002 1:31 PM
> To: sqr-users@sqrug.org
> Subject: [sqr-users] Insert -SQR
>
>
> I inherited this program. I have been asked to
> improve performance because
> it is taking a very long time.
>
>
> I have an SQR program that inserts a record into a
> table with over 8 million
> records, needless to say this is very costly to the
> database(Oracle) as
> noted in the EXPLAIN PLAN..
>
> The process reads a record from the source table and
> does some validations
> and lookups of additional values and then inserts
> the record into the target
> table then repeats the process by reading a record
> from the source table and
> so on.
>
> Someone suggested disabling the index while
> inserting and then rebuilding it
> after it is finished inserting.
>
> Any suggestions would be great or where to go lookup
> some additional info.
> I have read some of the Oracle Database Performance
> Guide and Reference
> material.
>
> Thanks,
>
> Lisa
>
>
> Lisa Smyth
> PeopleSoft Financials
> 931.454.4861
> Lisa.Smyth@arnold.af.mil
>
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