Thinking back to university days, I think this
was called the knapsack problem, and at the
time there was no algorithm guaranteed to
give an optimal solution.

If there is no simple non-procedural algorithm -
how about a strategy that simply allows each
slave to take the longest task that has not yet
been run until there are no jobs left to run ?

Regards

Jonathan Lewis
http://www.jlcomp.demon.co.uk

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Trouble-shooting and Tuning
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The Co-operative Oracle Users' FAQ
http://www.jlcomp.demon.co.uk/faq/ind_faq.html


----- Original Message -----
To: "Multiple recipients of list ORACLE-L" <[EMAIL PROTECTED]>
Sent: 06 March 2003 16:49


> Hi all,
>
> I have a tricky situation ... I have a table
>
> columns are
> owner varchar2(),
> name  varchar2(),
> ana_tm number
>
> ana_tm represents how much time it took to perform statistics
collection for
> owner.name value. the number ranges from 0 to about 12000 right now,
and is
> subject to change. and say sum(ana_tm) over the table is say X.
>
> What I'd like to have is split this data into say N groups (Let's
say 8),
> so that each group ends up having a sum(ana_tm) ~ X/N  (i.e. X/8 in
this
> example).
>
> What I need is a way in SQL to splice the table list in eight groups
so that
> when I run a parallel 8 stream analyze, they all roughly take same
amount of
> time. I tried width_bucket() and it doesn't give me things that I
need. It
> assumes a linear distribution, which I do not have.
>
> Is this possible to do in SQL only?
>
> Thanks in advance, yes, you can go crazy with syntax, it is 9202.
> Raj
> -------------------------------------------------------------
> Rajendra dot Jamadagni at espn dot com
> Any views expressed here are strictly personal.
> QOTD: Any clod can have facts, having an opinion is an art !!
>
>

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