https://github.com/ipython/pickleshare
File system based database that uses python pickles
https://github.com/ipython/pickleshare
Last synced: 14 days ago
JSON representation
File system based database that uses python pickles
- Host: GitHub
- URL: https://github.com/ipython/pickleshare
- Owner: ipython
- License: mit
- Created: 2014-01-22T12:10:46.000Z (almost 12 years ago)
- Default Branch: master
- Last Pushed: 2023-11-15T10:35:13.000Z (about 2 years ago)
- Last Synced: 2025-02-02T01:14:45.525Z (11 months ago)
- Language: Python
- Size: 49.8 KB
- Stars: 72
- Watchers: 8
- Forks: 23
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Security: SECURITY.md
Awesome Lists containing this project
README
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:
```python
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:
```sh
pip install pickleshare
```
Or, if installing from source
```sh
pip install .
```