On Tue, Jul 17, 2012 at 3:30 PM, Jacob Bennett <jacob.bennet...@gmail.com>wrote:
> Hello PyTables Users & Contributors,
>
> Just a quick question, let's say that I have certain identifiers that link
> to a set of data. Would it generally be faster for lookup to have each set
> a data as a separate table with an id as the tables name or to add this id
> as another column to a universal table of data and then let the in-kernel
> search query data only with a specific id?
>
I think that in general it is faster to have more tables with ids as names.
For very small data, searching through a single larger table might be
quicker than node access...but even then I doubt it.
> I hope you can understand my question would 1,000 tables of 100,000
> records each be better for searching than 1 table with 100 million records
> and one extra id column?
>
For these data sizes more tables is probably faster.
(It should also be noted that in the more tables case, that data is
actually smaller, because you can eliminate the id column.)
Be Well
Anthony
>
> Thanks,
> Jacob Bennett
>
> --
> Jacob Bennett
> Massachusetts Institute of Technology
> Department of Electrical Engineering and Computer Science
> Class of 2014| benne...@mit.edu
>
>
>
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