At 02:03 AM 9/4/2002, Anjo Kolk wrote:
>Yep and you have given the answer yourself. It is the number of indexes. I
>think that if the number of records increase the number of levels increase
>and slowly but surely you need to update more and more blocks. I have done
>sone tests (an oher people I am sure) that show that there is an expontial
>increase in the amount of undo and redo generated for every index that gets
>added into the mix.

I assume that you mean "exponential increase" metaphorically.  I can't 
imagine that the amount of undo & redo would grow at anything greater than 
linearly.



>You will probably see an increase in CPU time (assuming that you are the only
>process/session on the system).
>
>Anjo.
>
>
>On Wednesday 04 September 2002 08:53, you wrote:
> > Hi All,
> >
> > We have a table which can contain more than half a million records. When we
> > try to insert some 10k records in the empty table it get inserted in 10
> > min. but as the size increases time taken to insert also increases. After
> > 350,000 records it takes around an hour to insert 10k records. There are
> > around 15 columns in it out of which 11 are indexed. There is one
> > concatenated function-based index on two columns of Varchar type and two
> > separate index for the same two columns.
> >
> > I have checked the free space for the tablespaces to which the table and
> > indexes are attached to. They are in two separate tbs.
> >
> > Any clues why this is happenning.
> >
> >
> > TIA
> > Marul.
>
>
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>Author: Anjo Kolk
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Justin Cave

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