Thank you all very much for your input.
I guess my best bet is to reorganize the data into
larger but fewer records.
Thanks again

--- Mark Palatucci <[EMAIL PROTECTED]> wrote:
> The data should be structured to 1) minimize the
> search time 2)
> minimize the hotsync time
> 
> Depending on the comparison function, it could take
> several seconds
> just to check a few thousand records. A linear
> search just might not
> cut it. I've worked on similar large databases with
> many records. In
> order to get decent performance I always added an
> extra record or two
> with sort information. This allowed me to do
> extremely quick binary
> lookups. 
> 
> Also, how big (on average) is each record? Will they
> always be the
> same size? If so, you may want to consider packing
> as many as you can
> into the fewest number of records. This will
> increase your sync speed.
> 
> Also, don't forget each record adds 8 bytes of
> header. My tests suggest that the OS
> actually keeps a little more than this. In my
> experience, even with
> small record sizes, I could only get around 30k
> records on an 8meg
> device (event though 30k * (recordsize + 8 bytes of
> headers) was
> about 400-500k less than 8meg. 
> 
> -mark
> 
> 
> 
> On Thu, Oct 03, 2002 at 12:05:06PM -0700, Lucy
> wrote:
> > I have an option to install the PBD as one large
> db
> > (23,000+ recs) or as a few smaller dbs (5000 recs
> > each). My goal is to search against all those
> records
> > according to user's input. I will have to order
> the db
> > (or dbs) by first 2 fields.
> > 
> > Which way I should go? I know the hotsync is a lot
> > faster: 30 mins/db vs 10 mins/multi dbs. What
> about
> > performance, etc? 
> > 
> > Any input is greatly appreciated.
> > 
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