• Stars
    star
    685
  • Rank 65,982 (Top 2 %)
  • Language
    Python
  • License
    Apache License 2.0
  • Created over 7 years ago
  • Updated over 1 year ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Universally Unique Lexicographically Sortable Identifier (ULID) in Python 3

ulid

Build Status Build Status codecov Code Climate Issue Count

PyPI Version PyPI Versions

Documentation Status

Universally Unique Lexicographically Sortable Identifier in Python 3.

Status

This project is actively maintained.

Installation

To install ulid from pip:

    $ pip install ulid-py

To install ulid from source:

    $ git clone [email protected]:ahawker/ulid.git
    $ cd ulid && python setup.py install

Usage

Create a brand new ULID.

The timestamp value (48-bits) is from time.time() with millisecond precision.

The randomness value (80-bits) is from os.urandom().

>>> import ulid
>>> ulid.new()
<ULID('01BJQE4QTHMFP0S5J153XCFSP9')>

Create a new ULID from an existing 128-bit value, such as a UUID.

Supports ULID values as int, bytes, str, and UUID types.

>>> import ulid, uuid
>>> value = uuid.uuid4()
>>> value
UUID('0983d0a2-ff15-4d83-8f37-7dd945b5aa39')
>>> ulid.from_uuid(value)
<ULID('09GF8A5ZRN9P1RYDVXV52VBAHS')>

Create a new ULID from an existing timestamp value, such as a datetime object.

Supports timestamp values as int, float, str, bytes, bytearray, memoryview, datetime, Timestamp, and ULID types.

>>> import datetime, ulid
>>> ulid.from_timestamp(datetime.datetime(1999, 1, 1))
<ULID('00TM9HX0008S220A3PWSFVNFEH')>

Create a new ULID from an existing randomness value.

Supports randomness values as int, float, str, bytes, bytearray, memoryview, Randomness, and ULID types.

>>> import os, ulid
>>> randomness = os.urandom(10)
>>> ulid.from_randomness(randomness)
>>> <ULID('01BJQHX2XEDK0VN0GMYWT9JN8S')>

For cases when you don't necessarily control the data type (input from external system), you can use the parse method which will attempt to make the correct determination for you. Please note that this will be slightly slower than creating the instance from the respective from_* method as it needs to make a number of type/conditional checks.

Supports values as int, float, str, bytes, bytearray, memoryview, uuid.UUID, and ULID types.

>>> import ulid
>>> value = db.model.get_id()  ## Unsure about datatype -- Could be int, UUID, or string?
>>> ulid.parse(value)
>>> <ULID('0K0EDFETFM8SH912DBBD4ABXSZ')>

Once you have a ULID object, there are a number of ways to interact with it.

The timestamp method will give you a snapshot view of the first 48-bits of the ULID while the randomness method will give you a snapshot of the last 80-bits.

>>> import ulid
>>> u = ulid.new()
>>> u
<ULID('01BJQM7SC7D5VVTG3J68ABFQ3N')>
>>> u.timestamp()
<Timestamp('01BJQM7SC7')>
>>> u.randomness()
<Randomness('D5VVTG3J68ABFQ3N')>

The ULID, Timestamp, and Randomness classes all derive from the same base class, a MemoryView.

A MemoryView provides the bin, bytes, hex, int, oct, and str, methods for changing any values representation.

>>> import ulid
>>> u = ulid.new()
>>> u
<ULID('01BJQMF54D093DXEAWZ6JYRPAQ')>
>>> u.timestamp()
<Timestamp('01BJQMF54D')>
>>> u.timestamp().int
1497589322893
>>> u.timestamp().bytes
b'\x01\\\xafG\x94\x8d'
>>> u.timestamp().datetime
datetime.datetime(2017, 6, 16, 5, 2, 2, 893000, tzinfo=datetime.timezone.utc)
>>> u.randomness().bytes
b'\x02F\xde\xb9\\\xf9\xa5\xecYW'
>>> u.bytes[6:] == u.randomness().bytes
True
>>> u.str
'01BJQMF54D093DXEAWZ6JYRPAQ'
>>> u.int
1810474399624548315999517391436142935
>>> u.bin
'0b1010111001010111101000111100101001000110100000010010001101101111010111001010111001111100110100101111011000101100101010111'
>>> u.hex
'0x015caf47948d0246deb95cf9a5ec5957'
>>> u.oct
'0o12712750745106402215572712717464573054527'

A MemoryView also provides rich comparison functionality.

>>> import datetime, time, ulid
>>> u1 = ulid.new()
>>> time.sleep(5)
>>> u2 = ulid.new()
>>> u1 < u2
True
>>> u3 = ulid.from_timestamp(datetime.datetime(2039, 1, 1))
>>> u1 < u2 < u3
True
>>> [u.timestamp().datetime for u in sorted([u2, u3, u1])]
[datetime.datetime(2017, 6, 16, 5, 7, 14, 847000, tzinfo=datetime.timezone.utc), datetime.datetime(2017, 6, 16, 5, 7, 26, 775000, tzinfo=datetime.timezone.utc), datetime.datetime(2039, 1, 1, 8, 0, tzinfo=datetime.timezone.utc)]

Monotonic Support

This library supports two implementations for stronger guarantees of monotonically increasing randomness.

To use these implementations, simply import and alias it as ulid. They supports an identical interface as ulid, so no additional changes should be necessary.

Thread lock

The "thread lock" implementation is a simple implementation that follows that of the ulid/spec. When two or more identifiers are created with the same millisecond, the subsequent identifiers use the previous identifiers randomness value + 1. See PR 473 for more details.

>>> import time
>>> from ulid import monotonic as ulid

>>> ts = time.time()
>>> ulid.from_timestamp(ts)
<ULID('01EFZ62V7VTEQR4Q788PSBBQP8')>
>>> ulid.from_timestamp(ts)
<ULID('01EFZ62V7VTEQR4Q788PSBBQP9')>
>>> ulid.from_timestamp(ts)
<ULID('01EFZ62V7VTEQR4Q788PSBBQPA')>

Microsecond

The "microsecond" implementation is not defined in the ulid/spec. It uses a microsecond clock and uses those additional 10-bits into the first two bytes of the randomness value. This means that two identifiers generated within the same millisecond will be monotonically ordered. If two identifiers are generated within the same microsecond, they are ordered entirely by the randomness bytes. See PR 476 for more details.

>>> from ulid import microsecond as ulid
>>> ulid.new()
<ULID('01EH0VVVEC0BKJHF0370TNGQ4Z')>
>>> ulid.new()
<ULID('01EH0VVWPG0C6VDD0529CAHPNJ')>
>>> ulid.new()
<ULID('01EH0VVX8R0AN45DBYZZYMXVKT')>
>>> ulid.new()
<ULID('01EH0VVYA406BDKKRVCDJQZHYQ')>

Contributing

If you would like to contribute, simply fork the repository, push your changes and send a pull request. Pull requests will be brought into the master branch via a rebase and fast-forward merge with the goal of having a linear branch history with no merge commits.

License

Apache 2.0

Why not UUID?

UUID can be suboptimal for many uses-cases because:

  • It isn't the most character efficient way of encoding 128 bits of randomness
  • UUID v1/v2 is impractical in many environments, as it requires access to a unique, stable MAC address
  • UUID v3/v5 requires a unique seed and produces randomly distributed IDs, which can cause fragmentation in many data structures
  • UUID v4 provides no other information than randomness which can cause fragmentation in many data structures

ULID provides:

  • 128-bit compatibility with UUID
  • 1.21e+24 unique ULIDs per millisecond
  • Lexicographically sortable!
  • Canonically encoded as a 26 character string, as opposed to the 36 character UUID
  • Uses Crockford's base32 for better efficiency and readability (5 bits per character)
  • Case insensitive
  • No special characters (URL safe)

Specification

Below is the current specification of ULID as implemented in this repository.

The binary format is implemented.

 01AN4Z07BY      79KA1307SR9X4MV3

|----------|    |----------------|
 Timestamp          Randomness
  10chars            16chars
   48bits             80bits

Components

Timestamp

  • 48 bit integer
  • UNIX-time in milliseconds
  • Won't run out of space till the year 10895 AD.

Randomness

  • 80 bits
  • Cryptographically secure source of randomness, if possible

Sorting

The left-most character must be sorted first, and the right-most character sorted last (lexical order). The default ASCII character set must be used. Within the same millisecond, sort order is not guaranteed

Encoding

Crockford's Base32 is used as shown. This alphabet excludes the letters I, L, O, and U to avoid confusion and abuse.

0123456789ABCDEFGHJKMNPQRSTVWXYZ

Binary Layout and Byte Order

The components are encoded as 16 octets. Each component is encoded with the Most Significant Byte first (network byte order).

0                   1                   2                   3
 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1 2 3 4 5 6 7 8 9 0 1
+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
|                      32_bit_uint_time_high                    |
+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
|     16_bit_uint_time_low      |       16_bit_uint_random      |
+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
|                       32_bit_uint_random                      |
+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
|                       32_bit_uint_random                      |
+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+

String Representation

ttttttttttrrrrrrrrrrrrrrrr

where
t is Timestamp
r is Randomness

Links

More Repositories

1

crython

Lightweight task scheduler using cron expressions
Python
202
star
2

machine-learning-coursera

Machine Learning (Spring 2014)
MATLAB
63
star
3

django-ulid

Universally Unique Lexicographically Sortable Identifier (ULID) support in Django
Python
41
star
4

data-analysis-coursera

Computing for Data Analysis (Winter 2013)
R
35
star
5

scratchdir

Context manager to maintain your temporary directories/files.
Python
17
star
6

decorstate

Simple "state machines" with Python decorators.
Python
12
star
7

SaaS-Coursera

Assignments for UC Berkeley Spring 2012 SaaS Course
Ruby
7
star
8

adbpy

Deprecated. See: https://github.com/adbpy
Python
6
star
9

kettle

Python asyncio Kademlia Distributed Hash Table (DHT)
Python
6
star
10

KNN

K-Nearest Neighbors with Forward Feature Selection
4
star
11

NPortAudio

PortAudio wrapper for the .NET Framework
4
star
12

NLibsndfile

Libsndfile wrapper for the .NET Framework
C#
4
star
13

krustofsky

Convert social security popular baby names dataset to SQLite
Python
3
star
14

pysfeed

Live sports feeds as RESTful web service.
1
star
15

tcapy

Python bindings for JetBrains TeamCity REST API.
Python
1
star
16

eCostBot

eCost Auto-Buyer for Hot Deals
1
star
17

CS253-Udacity

1
star
18

ydf

YAML to Dockerfile
Python
1
star
19

tmnt

Mutation testing in python
Python
1
star
20

intellij-settings-pycharm

Repository for PyCharm IDE settings
1
star
21

NMU-Programming-Contests

1
star
22

python-challenge

http://www.pythonchallenge.com
Python
1
star
23

lopper

Automatically delete merged pull request branches for your GitHub Organization.
Python
1
star
24

etf

Erlang External Term Format support in Python.
Python
1
star
25

LovejoyBot

AIM service for NMU TLC students.
1
star
26

jpool

NFL pickem system built on ember.js and flask.
Python
1
star
27

ahawker

1
star
28

Powdered-Toast

Push notification system for .NET applications.
C#
1
star
29

euchre

Python
1
star