A tiny log-structured key-value database written in pure Python
Project description
ViperDB
ViperDB is a lightweight embedded key-value store written in pure Python. It has been designed for being extremely simple while efficient.
Features
- tiny: the main db file consists of just ~300 lines of code.
- highly coverage: thanks to the small codebase, every single line of code is tested.
- log-structured: ViperDB takes design concepts by log-structured databases such as Bitcask.
- written in pure Python: no external dependency needed.
Database layout
ViperDB simply consists of two files: a key log file and a value log file. The first is used to maintain information about values (e.g. offset, size, etc...) which are actually stored in the value log. This layout allows to speed-up db initialization, which consists in loading the pointers to the entire key-space from the key-file to a dictionary. For simplicity, the key file is treated as a text file, with each line containing a json-encoded entry. The value file is viewed as a raw sequence of bytes. Before being written to the value file, each value is encoded according to the following scheme: builtin types (except for the bytes type) are json-encoded, while user-defined classes are pickled.
To keep logic simple, no automatic compaction is performed in the background: unused space must be reclaimed explicitly through the reclaim function.
API usage
from viperdb import ViperDB
db = ViperDB('./db')
# db can be used as a simple dictionary
db['hello'] = 'ViperDB!'
assert db['hello'] == 'ViperDB'
del db['hello']
assert 'hello' not in db
db.reclaim() # call this method periodically to free unused space.
db.close() # flush any pending write and close the database.
Contribute
ViperDB is a very recent project and, as such, it comes with no warranty. If you find any bug, or have some suggestion, feel free to contribute by opening a new issue or making a pull request.
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