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.
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