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.

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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