Menu
So I'm looking at various key:value (where value is either strictly a single value or possibly an object) stores for use with Python, and have found a few promising ones. I have no specific requirement as of yet because I am in the evaluation phase. I'm looking for what's good, what's bad, what are the corner cases these things handle well or don't, etc. I'm sure some of you have already tried them out so I'd love to hear your findings/problems/etc. on the various key:value stores with Python. I'm looking primarily at:
memcached - http://www.danga.com/memcached/ python clients: http://pypi.python.org/pypi/python-memcached/1.40 http://www.tummy.com/Community/software/python-memcached/
CouchDB - http://couchdb.apache.org/ python clients: http://code.google.com/p/couchdb-python/
Tokyo Tyrant - http://1978th.net/tokyotyrant/ python clients: http://code.google.com/p/pytyrant/
Lightcloud - http://opensource.plurk.com/LightCloud/ Based on Tokyo Tyrant, written in Python
Redis - http://redis.io/ python clients: http://pypi.python.org/pypi/txredis/0.1.1
MemcacheDB - http://memcachedb.org/
So I started benchmarking (simply inserting keys and reading them) using a simple count to generate numeric keys and a value of "A short string of text":
memcached: CentOS 5.3/python-2.4.3-24.el5_3.6, libevent 1.4.12-stable, memcached 1.4.2 with default settings, 1 gig memory, 14,000 inserts per second, 16,000 seconds to read. No real optimization, nice.
memcachedb claims on the order of 17,000 to 23,000 inserts per second, 44,000 to 64,000 reads per second.
I'm also wondering how the others stack up speed wise.
209
Introduction to the Python Dictionary typeA key in the key-value pair must be immutable. In other words, the key cannot be changed, for example, a number, a string, a tuple, etc. Python uses curly braces {} to define a dictionary. Inside the curly braces, you can place zero, one, or many key-value pairs.
Dictionary in Python is an unordered collection of data values, used to store data values like a map, which unlike other Data Types that hold only single value as an element, Dictionary holds key:value pair. While using Dictionary, sometimes, we need to add or modify the key/value inside the dictionary.
That mostly depends on your need.
Read Caveats of Evaluating Databases to understand how to evaluate them.
196
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With
