Skip to main content

Module to encode and decode timestamps to/from TimeHashes

Project description

About

timehash is an algorithm (with multiple reference implementations) for calculating variable precision sliding windows of time. When performing aggregations and correlations on large-scale data sets, the ability to convert precise time values into ‘malleable intervals’ allows for many novel analytics.

Using sliding windows of time is a common practice in data analysis but prior to the timehash algorithm it was more of an art than a science.

Features

  • convert epoch miliseconds into an interval of time, depicted by an ASCII character ‘hash’ (a ‘timehash’)

  • timehash values are well suited to referencing time intervals in key-value stores (e.g. Hbase, Acculumo, Redis)

  • The creation of a compound key of space and time (e.g. geohash_timehash) is a powerful primitive for understanding geotemporal patterns

Implementations

Usage

Example of calculating a timehash value in python:

import timehash
import time

rightnow = time.time()
rightnow60 = rightnow + 60.0

rightnow_hash = timehash.encode(rightnow, precision=10)
rightnow60_hash = timehash.encode(rightnow60, precision=10)

print 'timehash of right now: %s' % rightnow_hash
print 'timehash of now +60s: %s'% rightnow60_hash

% timehash of right now: ae0f0ba1fc
% timehash of now +60s: ae0f0baa1c

License

Modified BSD License

Contact

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

timehash-1.0.tar.gz (4.6 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