disk based dictionaries

[Shivram U]

Hi Steve, Larry,
   Thanks for the Help! I am using the pickle module now as i just need
to store and retrieve dictionaries. 

Best Regards,
Shivram U

On Thu, 2004-12-02 at 23:59, Steve wrote:
> Hi Shivam,
> 
> If storing and retrieving is all that you are interested in, you
> should consider 'pickling' your dicts, using python's pickle module.
> It's part of the standard library.
>     Learn more about it here:
> http://docs.python.org/lib/module-pickle.html
> 
> Here's an example usage:
> 
> [steve at sfernandez20 ~]$ python
> Python 2.3.4 (#2, Aug 19 2004, 15:49:40) 
> [GCC 3.4.1 (Mandrakelinux (Alpha 3.4.1-3mdk)] on linux2
> Type "help", "copyright", "credits" or "license" for more information.
> >>> import pickle
> >>> d = {'foo':'bar', 1:'ham', 'eggs':10}
> >>> fl = open('mydict', 'wb')
> >>> pickle.dump(d, fl)
> >>> del(d)
> >>> dir()
> ['__builtins__', '__doc__', '__file__', '__name__', 'fl', 'pickle']
> >>> fl.close()
> >>> fl = open('mydict')
> >>> d = pickle.load(fl)
> >>> d
> {1: 'ham', 'eggs': 10, 'foo': 'bar'}
> >>>
> 
> HTH
> Regards
> steve
> 
> 
> On 02 Dec 2004 20:33:22 +0600, Shivram U <shivaram.upadhyayula at wipro.com> 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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