Time series data storage using Redis
Project description
- Version:
- 0.0.1
- Download:
- Source:
- Keywords:
python, redis, time, rrd, gevent
Overview
Kairos provides time series storage using a Redis backend. Kairos is intended to replace RRD in situations where the scale of Redis is required, with as few dependencies on other packages as possible. It should work with gevent out of the box.
Usage
Install redis and kairos.
from kairos import Timeseries import redis client = redis.Redis('localhost', 6379) t = Timeseries(client, { 'minute':{ 'step':60, # 60 seconds 'steps':120, # last 2 hours 'read_cast' : float, # cast all results as floats } }) t.insert('example', 3.14159) t.insert('example', 2.71828) print t.get('example', 'minute') # [3.1415899999999999, 2.71828]
Installation
Kairos is available on pypi and can be installed using pip
pip install kairos
If installing from source:
with development requirements (e.g. testing frameworks)
pip install -r development.pip
without development requirements
pip install -r requirements.pip
Note that kairos does not by default require the redis package, nor does it require hiredis though it is strongly recommended.
Future
Storage of objects
Histograms for compressing large intervals
Interfaces to support easy integration with Python statistics packages
Pipelining and other redis optimizations
License
This software is licensed under the New BSD License. See the LICENSE.txt file in the top distribution directory for the full license text.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.