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: > > [EMAIL PROTECTED] ~]$ 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 <[EMAIL PROTECTED]> 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 > > > > Confidentiality Notice > > > > The information contained in this electronic message and any attachments to > > this message are intended > > for the exclusive use of the addressee(s) and may contain confidential or > > privileged information. If > > you are not the intended recipient, please notify the sender at Wipro or > > [EMAIL PROTECTED] immediately > > and destroy all copies of this message and any attachments. > > -- > > http://mail.python.org/mailman/listinfo/python-list > > Confidentiality Notice The information contained in this electronic message and any attachments to this message are intended for the exclusive use of the addressee(s) and may contain confidential or privileged information. If you are not the intended recipient, please notify the sender at Wipro or [EMAIL PROTECTED] immediately and destroy all copies of this message and any attachments. -- http://mail.python.org/mailman/listinfo/python-list
