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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

Contact

Release History

Release History

1.1

This version

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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1.0

History Node

TODO: Figure out how to actually get changelog content.

Changelog content for this version goes here.

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Download Files

Download Files

TODO: Brief introduction on what you do with files - including link to relevant help section.

File Name & Checksum SHA256 Checksum Help Version File Type Upload Date
timehash-1.1.tar.gz (4.9 kB) Copy SHA256 Checksum SHA256 Source Mar 17, 2016

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