On Jun 21, 2007, at 9:59 PM, [EMAIL PROTECTED] wrote:
I created a shelf called 'myshelf' and put two objects in it, a
string and a list. When I open the shelf I get:
d=shelve.open('/Users/development/Desktop/myshelf')
d.keys()
['dir1', 'dir2']
d
{'dir2': '/Users/development/Desktop/RSSReaderApp/RSS.db', 'dir1':
['.DS_Store', '.localized', 'access the latest version', 'Python
Quick Reference.webloc', 'rssdb', 'workspace']}
It seems that when you use shelve.open(), it actually brings the
entire shelf dictionary into memory, accessible through d.
What if you had 100 objects in myshelf, or 1000 or 100,000?
Wouldn't it get bogged down?
If so, what is it good for and how would you store a large number
of objects? (Storing strings and lists in an sql database is
probably the way to go for this simple example, but what if you
had more complex objects?)
Thanks
Chris V.
have a gander at:
http://codeidol.com/python/python3/Databases-and-Persistence/
As well as the shelve docs.
~r
_______________________________________________
Tutor maillist - Tutor@python.org
http://mail.python.org/mailman/listinfo/tutor
