Yes I think that I suggested gdbm or you could just use berkely db. Or
an XML format or whatever (though your ability to query against such a
format is quite limited, not to mention the requirements of storing data
in XML natively is a bit of a chore)... Generally, I'd think you'd want
to do data import/export/passing via XML and keep your data in something
more compact and robust. XML would almost require you to keep humongous
chunks of data in system RAM which turns out is relatively inefficient
on 16MHz Dragonball's and the like :)

John

-----Original Message-----
From: [EMAIL PROTECTED]
[mailto:[EMAIL PROTECTED]] On Behalf Of Mark and
Janice Juszczec
Sent: Monday, December 10, 2001 3:41 PM
To: [EMAIL PROTECTED]
Subject: [Pgui-devel] PicoGUI PIM


Hi folks

A week or 2 ago, I finished (finally!) the changes to the PIM sketches.
Per 
some feedback I got on this list about the last batch of sketches, I've 
added:

1.  Tabs at the top to take you to the different screens (To Do, Memo
etc).  
The tabs will replace the buttons used for navigation in some
situations.

2.  2 landscape screens.  One shows all related To Do and Schedule info
for 
a given day, along with a Memo list and Calendar display.  The other
shows 
detailed information about a To Do item and its related Schedule and
Memo 
entries.

Please let me know what y'all think when you see them.

The next question is, how am I going to store the data?  I remember a
thread 
from earlier this year discussing the use of gpm (I think that's the
name).  
I'll dig that info up and give it a read.

In the meantime, I was wondering how heavy duty of a database we need?  
Since data compression is going to be more important that just about 
anything else (gotta save space, gotta save space), I wonder if I'd be
able 
to get away with storing the data in a hash?  Unique keys could be
generated 
from the date and time the entry was created thereby preventing any 
collisions (hopefully).  If I can't find/develop any suitable text 
compression methods on my own, some of my co-workers could probably give
me 
a hand.  We use some pretty heavy duty compression algorithms for our 
products.

What do y'all think?

Hope y'all get your Christmas shopping done.  Wish me luck!

Mark


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