Cross platform (fast) DBM interface in python
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Semidbm is a fast, pure python implementation of a dbm, which is a persistent key value store. It allows you to get and set keys through a dict interface::
import semidbm
db = semidbm.open('testdb', 'c')
db['foo'] = 'bar'
print db['foo']
db.close()
These values are persisted to disk, and you can later retrieve these key/value pairs::
# Then at a later time:
db = semidbm.open('testdb', 'r')
# prints "bar"
print db['foo']
It was written with these things in mind:
Benchmarking Semidbm <http://semidbm.readthedocs.org/en/latest/benchmarks.html>
__).Semidbm supports python 2.6, 2.7, 3.3, and 3.4.
Read the semidbm docs <http://semidbm.readthedocs.org>
_ for more information
and how to use semidbm.
Semidbm originally started off as an improvement over the
dumbdbm <https://docs.python.org/2/library/dumbdbm.html>
__
library in the python standard library. Below are a list of some of the
improvements over dumbdbm.
Instead of an index file and a data file, the index and data have been consolidated into a single file. This single data file is always appended to, data written to the file is never modified.
Semidbm uses an append only file format. This has the potential to grow to
large sizes as space is never reclaimed. Semidbm addresses this by adding a
compact()
method that will rewrite the data file to a minimal size.
Semidbm is significantly faster than dumbdbm (keep in mind both are pure python
libraries) in just about every way. The documentation shows the
results <http://semidbm.readthedocs.org/en/latest/benchmarks.html>
_
of semidbm vs. other dbms, along with how to run the benchmarking
script yourself.
Post feedback and issues on github issues
, or check out the
latest changes at the github repo
.
.. _github issues: https://github.com/jamesls/semidbm/issues .. _repo: https://github.com/jamesls/semidbm