> concerned with organizational clarity and correctness than efficiency

>From my personal experience, Sqlite is so bloody fast I simply side table
efficiency until it needs to be looked at.  I can load 1.5 million name
address records (500 bytes each), a second table of 3 million records (same
size), then pick and choose from the latter and put into the former to
increase postal discounts, and do that in 30 minutes or under.  I have no
complaints.

Kudos to Sqlite and the freedom they have given me.
dvn

On Thu, Oct 9, 2014 at 11:17 AM, Drago, William @ MWG - NARDAEAST <
william.dr...@l-3com.com> wrote:

>
> > > The question I have is, should I lump everything together in one
> > table just like the .csv file or should I create several smaller tables
> > that group similar parameters? I'm not sure what would normally be
> > done. I think the database is normalized properly in either case.
> >
> > For SQLite, except in exceptional cases such as huge (multi terabyte)
> > databases or slow media, it is more efficient to have one big table
> > rather than several smaller tables.
>
> Good to know. Since this is a small, low volume database I'm more
> concerned with organizational clarity and correctness than efficiency.
>
> >
> > At a first glance, when I see two tables with identical column
> > definitions, I tend to feel that they should be merged into one table
> > with one additional column.
>
> That was my gut feeling. I could combine even further by using just 4
> columns, but I thought the code might be less complicated by keeping them
> separate:
>
> ID
> Frequency       (either HF or LF)
> VName           (Offset, v10...V200)
> MeasuredVoltage (actual recorded value)
>
> Thanks for your reply, Simon.
>
> -Bill
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