<?xml version="1.0" encoding="UTF-8" ?>
<rdf:RDF xmlns="http://usefulinc.com/ns/doap#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><Project><name>pickleshare</name>
<shortdesc>Tiny 'shelve'-like database with concurrency support</shortdesc>
<description>\ 
PickleShare - a small 'shelve' like datastore with concurrency support

Like shelve, a PickleShareDB object acts like a normal dictionary. Unlike shelve,
many processes can access the database simultaneously. Changing a value in 
database is immediately visible to other processes accessing the same database.

Concurrency is possible because the values are stored in separate files. Hence
the "database" is a directory where *all* files are governed by PickleShare.

Example usage::
    
    from pickleshare import *
    db = PickleShareDB('~/testpickleshare')
    db.clear()
    print "Should be empty:",db.items()
    db['hello'] = 15
    db['aku ankka'] = [1,2,313]
    db['paths/are/ok/key'] = [1,(5,46)]
    print db.keys()

This module is certainly not ZODB, but can be used for low-load 
(non-mission-critical) situations where tiny code size trumps the 
advanced features of a "real" object database.

Installation guide: easy_install pickleshare</description>
<maintainer><foaf:Person><foaf:name>Ville Vainio</foaf:name>
<foaf:mbox_sha1sum>79a1d78f73e91063cc4b19697ef11e7f7987fac8</foaf:mbox_sha1sum></foaf:Person></maintainer>
<release><Version><revision>0.2</revision></Version></release>
</Project></rdf:RDF>