Skip to main content

High Performance Redis Timeseries

Project description

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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

neutrino-0.2.tar.gz (5.0 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page