Tiny 'shelve'-like database with concurrency support
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.
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
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size pickleshare-0.3.zip (16.0 kB)||File type Source||Python version None||Upload date||Hashes View|