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.dist-info | e9656aae26 Restoring authorship annotation for <shadchin@yandex-team.ru>. Commit 2 of 2. | 3 years ago |
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README.md | e9656aae26 Restoring authorship annotation for <shadchin@yandex-team.ru>. Commit 2 of 2. | 3 years ago |
pickleshare.py | dd14d17a74 Restoring authorship annotation for <smosker@yandex-team.ru>. Commit 1 of 2. | 3 years ago |
ya.make | dd14d17a74 Restoring authorship annotation for <smosker@yandex-team.ru>. Commit 1 of 2. | 3 years ago |
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.
Both python2 and python3 are supported.
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:
pip install pickleshare
Or, if installing from source
pip install .