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High Performance Redis Timeseries
pip install neutrino==0.2
Neutrino
========
A high performance library for storing scalar timeseries data in redis.
Installation
============
To install, simply type:
$ sudo pip install neutrino
Design
======
Time series are stored as scalar values in bins with a fixed time step.
These bins are stored in chunks, and each chunk is stored under a single
redis key.
Instead of specifying these parameters for each time series individually,
the parameters are specified for a *pattern*, which is a regular
expression. When time series data is later added, the name of each time
series is matched to these patterns, and for each match a time series is
added.
For example, the rule
>>> ts.add_rule(r'spam.*','f',1,10,100,'avg')
will match any key starting with 'spam'. Any key matching this pattern
will be stored in a time series which will average multiple values in a
single bin, with a time step of 1 second, a chunk size of 10, and chunks
will expire after 100 seconds.
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Last synced: 2021-12-15 15:31:02 UTC
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