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: pip install pickleshare
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|Filename, size & hash SHA256 hash help||File type||Python version||Upload date|
|pickleshare-0.7.4-py2.py3-none-any.whl (6.9 kB) Copy SHA256 hash SHA256||Wheel||py2.py3||Aug 13, 2016|
|pickleshare-0.7.4.tar.gz (6.0 kB) Copy SHA256 hash SHA256||Source||None||Aug 13, 2016|