Skip to main content

Implements a powerful analytics library using Redis bitmaps.

Project description

bitmapist

Implements a powerful analytics library using Redis bitmaps.

This library makes it possible to implement real-time, highly scalable analytics that can answer following questions:

  • Has user 123 been online today? This week? This month?

  • Has user 123 performed action “X”?

  • How many users have been active have this month? This hour?

  • How many unique users have performed action “X” this week?

  • How many % of users that were active last week are still active?

  • How many % of users that were active last month are still active this month?

This library is very easy to use and enables you to create your own reports easily.

Using Redis bitmaps you can store events for millions of users in a very little amount of memory (megabytes). You should be careful about using huge ids (e.g. 2^32 or bigger) as this could require larger amounts of memory.

If you want to read more about bitmaps please read following:

Requires Redis 2.6+ and newest version of redis-py.

Examples

Setting things up:

from datetime import datetime, timedelta
from bitmapist import setup_redis, delete_all_events, mark_event,                          MonthEvents, WeekEvents, DayEvents, HourEvents,                          BitOpAnd, BitOpOr

now = datetime.utcnow()
last_month = datetime.utcnow() - timedelta(days=30)

Mark user 123 as active and has played a song:

mark_event('active', 123)
mark_event('song:played', 123)

Answer if user 123 has been active this month:

assert 123 in MonthEvents('active', now.year, now.month)
assert 123 in MonthEvents('song:played', now.year, now.month)
assert MonthEvents('active', now.year, now.month).has_events_marked() == True

How many users have been active this week?:

print len(WeekEvents('active', now.year, now.isocalendar()[1]))

Perform bit operations. How many users that have been active last month are still active this month?:

active_2_months = BitOpAnd(
    MonthEvents('active', last_month.year, last_month.month),
    MonthEvents('active', now.year, now.month)
)
print len(active_2_months)

# Is 123 active for 2 months?
assert 123 in active_2_months

Work with nested bit operations (imagine what you can do with this ;-)):

active_2_months = BitOpAnd(
    BitOpAnd(
        MonthEvents('active', last_month.year, last_month.month),
        MonthEvents('active', now.year, now.month)
    ),
    MonthEvents('active', now.year, now.month)
)
print len(active_2_months)
assert 123 in active_2_months

Copyright: 2012 by Doist Ltd.

Developer: Amir Salihefendic ( http://amix.dk )

License: BSD

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

bitmapist-1.6.tar.gz (5.1 kB view details)

Uploaded Source

Built Distribution

bitmapist-1.6-py2.7.egg (14.3 kB view details)

Uploaded Source

File details

Details for the file bitmapist-1.6.tar.gz.

File metadata

  • Download URL: bitmapist-1.6.tar.gz
  • Upload date:
  • Size: 5.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for bitmapist-1.6.tar.gz
Algorithm Hash digest
SHA256 04a1b17e169d86a42a81cafbd5504a7f3f615796290a853eac66651992f0e2cb
MD5 ec90d38829776ab5eb968a16505adb3f
BLAKE2b-256 6eeb1cfb77758215df48563f8f23786ee04418e24b1256bd0cc2a4d567a22f9b

See more details on using hashes here.

Provenance

File details

Details for the file bitmapist-1.6-py2.7.egg.

File metadata

  • Download URL: bitmapist-1.6-py2.7.egg
  • Upload date:
  • Size: 14.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for bitmapist-1.6-py2.7.egg
Algorithm Hash digest
SHA256 6be685287a732b4fae9113ad52ced60f39d65a35ad4e646608ec30b5abb784f3
MD5 84baffc3be18e2e5660642b8c762e2c9
BLAKE2b-256 2212fa87e2f80d0e3fef4092733cd23405a262eb1e444618ace9ea4891a14dac

See more details on using hashes here.

Provenance

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