disk based dictionaries

[Chris Cioffi]

I'd like to second this suggestion.  While there are a few things you
need to be aware of when writing your code (mostly taken care of in
the latest release) it's a mostly trivial code change.  (For me it was
replacing a few dictionaries with PersistentMap objects and changing
the base class of a few objects to Persistant from object.

FWIW, I'm using ZODB to help track EDI transactions for a help desk
application.  Right now my database hovers in the 100MB range with
several ten of thousands of objects.  I also use it for single object
temp storage, so I feel it works well from both the small and mid-size
scale.  (It probably works fine for large projects as well, I just
don't have one right now...)

Chris


On Thu, 02 Dec 2004 18:53:44 -0600, Larry Bates <lbates at syscononline.com> wrote:
> You may also want to take a look at ZODB (Zope database).
> It handles the pickling, storage and retrieval of all
> Python objects (including dictionaries) very well.  And yes
> you can use ZODB without using Zope proper.
> 
> http://www.zope.org/Products/StandaloneZODB
> 
> http://zope.org/Members/adytumsolutions/HowToLoveZODB_PartII/HowToLoveZODB_PartI
> 
> http://www.h7.dion.ne.jp/~harm/ZODB-Tutorial.py
> 
> 
> Larry Bates
> 
> 
> 
> 
> Shivram U wrote:
> > Hi,
> >
> >   I want to store dictionaries on disk. I had a look at a few modules
> > like bsddb, shelve etc. However would it be possible for me to do the
> > following
> >
> > hash[1] = [1, 2, 3] where the key is an int and not a string
> >
> > bsddb requires that both the key,value are string.
> > shelve does support values being object but not the keys. Is there any
> > module which support keys which are not strings
> >
> > Also how do i use disk based hashes for multidimensional hashes such as
> > below
> >
> > #!/usr/bin/python
> >
> > dict={}
> > dict['key1'] = {}
> > dict[('key1')][('key2')] = 'value'
> >
> > key1=dict['key1']
> > print key1['key2']
> >
> > I have read of mxBeeDict but was unable to get it work properly. I am
> > not sure if it supports what i need as i was unable to get any
> > documentation about it. Is the module used widely ?
> >
> > Below is how i am using the module
> >
> > bdict = BeeDict('/tmp/beedict')
> >
> > bdict[1] = 1
> > print bdict.keys()
> >
> > bdict.commit()
> > bdict.close()
> >
> > bdict1 = BeeDict('/tmp/beedict')
> > print bdict1.keys()
> > print bdict1.values()
> >
> >
> > Would it be that using disk based dictionaries once opened are as fast
> > as in memory dictionaries ?
> >
> > Thanks in advance,
> >
> > Best Regards,
> > Shivram U
> >
> >
> >
> >
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