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.
