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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