ulid-flake 0.1.3

Ulid-Flake, A 64-bit ULID variant featuring Snowflake.

Ulid-Flake, A 64-bit ULID variant featuring Snowflake - the python implementation

Ulid-Flake is a compact 64-bit ULID (Universally Unique Lexicographically Sortable Identifier) variant inspired by ULID and Twitter's Snowflake. It features a 1-bit sign bit, a 43-bit timestamp, and a 20-bit randomness. Additionally, it offers a scalable version using the last 5 bits as a scalability identifier (e.g., machineID, podID, nodeID).

Features

• Compact and Efficient: Uses only 64 bits, making it compatible with common integer types like int64 and bigint.
• Scalability: Provides 32 configurations for scalability using a distributed system.
• Lexicographically Sortable: Ensures lexicographical order.
• Canonical Encoding: Encoded as a 13-character string using Crockford's Base32.
• Monotonicity and Randomness: Monotonic sort order within the same millisecond with enhanced randomness to prevent predictability.

Installation

To install Ulid-Flake, you can install via a package manager (if available):

pip install ulid-flake

or you can clone the repository:

git clone [e-mail]:ulid-flake/python.git

Basic Usage

from ulid_flake.api import UlidFlake
from ulid_flake.scalable import UlidFlakeScalable
from datetime import datetime, timezone

# Configure settings for stand-alone version
UlidFlake.set_config(
    epoch_time=datetime(2024, 1, 1, tzinfo=timezone.utc),  # Custom epoch time, default 2024-01-01
    entropy_size=2,  # Custom entropy size, 1, 2 or 3, default 1
)

# Configure settings for scalable version
UlidFlakeScalable.set_config(
    epoch_time=datetime(2024, 1, 1, tzinfo=timezone.utc),  # Custom epoch time, default 2024-01-01
    entropy_size=2,  # Custom entropy size, 1 or 2, default 1
    sid=3  # Custom scalability ID (e.g., machineID, podID, nodeID), 1~32, default 0
)

# Generate a new Ulid-Flake ID instance
flake_id = UlidFlake.new()
print(f"flake_id: {flake_id}")
print(f"Timestamp: {flake_id.timestamp}")
print(f"Randomness: {flake_id.randomness}")
print(f"Base32: {flake_id.base32}")
print(f"Integer: {flake_id.int}")
print(f"Hex: {flake_id.hex}")
print(f"Binary: {flake_id.bin}")

# flake_id: 00EZJCRCB4650

# Timestamp: 16091865483
# Randomness: 4293

# Base32: 00EZJCRCB4650
# Integer: 16873543940839584
# Hex: 0x3bf26618b218a0
# Binary: 0b111011111100100110011000011000101100100001100010100000

Monotonicity Testing

Stand-alone version:

from ulid_flake.api import UlidFlake

for _ in range(5):
    flake_id = UlidFlake.new()
    print(f"Base32: {flake_id.base32}")
    print(f"BigInt: {flake_id.int}")
    print(f"Hex: {flake_id.hex}")
    print(f"Bin: {flake_id.bin}")

# Base32: 00EZJCRCBDKGC
# BigInt: 16873543941148172
# Hex: 0x3bf26618b6ce0c
# Bin: 0b111011111100100110011000011000101101101100111000001100

# Base32: 00EZJCRCBDKHZ
# BigInt: 16873543941148223
# Hex: 0x3bf26618b6ce3f
# Bin: 0b111011111100100110011000011000101101101100111000111111

# Base32: 00EZJCRCBDKPZ
# BigInt: 16873543941148383
# Hex: 0x3bf26618b6cedf
# Bin: 0b111011111100100110011000011000101101101100111011011111

# Base32: 00EZJCRCBDKWA
# BigInt: 16873543941148554
# Hex: 0x3bf26618b6cf8a
# Bin: 0b111011111100100110011000011000101101101100111110001010

# Base32: 00EZJCRCBDKWG
# BigInt: 16873543941148560
# Hex: 0x3bf26618b6cf90
# Bin: 0b111011111100100110011000011000101101101100111110010000

scalable version:

from ulid_flake.scalable import UlidFlakeScalable

UlidFlakeScalable.set_config(sid=2)
for _ in range(5):
    flake_id = UlidFlakeScalable.new()
    print(f"Base32: {flake_id.base32}")
    print(f"BigInt: {flake_id.int}")
    print(f"Hex: {flake_id.hex}")
    print(f"Bin: {flake_id.bin}")

# Base32: 00EZJCRCB4B32
# BigInt: 16873543940844642
# Hex: 0x3bf26618b22c62
# Bin: 0b111011111100100110011000011000101100100010110001100010

# Base32: 00EZJCRCB4F22
# BigInt: 16873543940848706
# Hex: 0x3bf26618b23c42
# Bin: 0b111011111100100110011000011000101100100011110001000010

# Base32: 00EZJCRCB4GP2
# BigInt: 16873543940850370
# Hex: 0x3bf26618b242c2
# Bin: 0b111011111100100110011000011000101100100100001011000010

# Base32: 00EZJCRCB4PM2
# BigInt: 16873543940856450
# Hex: 0x3bf26618b25a82
# Bin: 0b111011111100100110011000011000101100100101101010000010

# Base32: 00EZJCRCB4V02
# BigInt: 16873543940860930
# Hex: 0x3bf26618b26c02
# Bin: 0b111011111100100110011000011000101100100110110000000010

Creating Ulid-Flake Instances from other sources

From Integer

ulid_flake_from_int = UlidFlake.from_int(1234567890123456789)
print(f"From Int: {ulid_flake_from_int}")

From Base32 String

ulid_flake_from_str = UlidFlake.from_str("01AN4Z07BY79K")
print(f"From String: {ulid_flake_from_str}")

From Unix Epoch Time

ulid_flake_from_unix = UlidFlake.from_unix_epoch_time(1720159853432)
print(f"From Unix Time: {ulid_flake_from_unix}")

Specification

Below is the default stand-alone version specification of Ulid-Flake.

Note: a 1-bit sign bit is included in the timestamp.

Stand-alone version (default):

 00CMXB6TA      K4SA

|---------|    |----|
 Timestamp   Randomness
   44-bit      20-bit
   9-char      4-char

Also, a scalable version is provided for distributed system using purpose.

Note: a 1-bit sign bit is included in the timestamp.

Scalable version (optional):

 00CMXB6TA      K4S       A

|---------|    |---|     |-|
 Timestamp   Randomness  Scalability
   44-bit      15-bit    5-bit
   9-char      3-char    1-char

Components

Total 64-bit size for compatibility with common integer (long int, int64 or bigint) types.

Timestamp

• The first 1-bit is a sign bit, always set to 0.
• Remaining 43-bit timestamp in millisecond precision.
• Custom epoch for extended usage span, starting from 2024-01-01T00:00:00.000Z.
• Usable until approximately 2302-09-27 AD.

Randomness

• 20-bit randomness for stand-alone version. Provides a collision resistance with a p=0.5 expectation of 1,024 trials. (not much)
• 15-bit randomness for scalable version.
• Initial random value at each millisecond precision unit.
• adopt a +n bits entropy incremental mechanism to ensure uniqueness without predictability.

Scalability (Scalable version ony)

• Provide a 5-bit scalability for distributed system using purpose.
• total 32 configurations can be used.

Sorting

The left-most character must be sorted first, and the right-most character sorted last, ensuring lexicographical order. The default ASCII character set must be used.

When using the stand-alone version strictly in a stand-alone environment, or using the scalable version in both stand-alone or distributed environment, sort order is guaranteed within the same millisecond. however, when using the stand-alone version in a distributed system, sort order is not guaranteed within the same millisecond.

Note: within the same millisecond, sort order is guaranteed in the context of an overflow error could occur.

Canonical String Representation

Stand-alone version (default):

tttttttttrrrr

where
t is Timestamp (9 characters)
r is Randomness (4 characters)

Scalable version (optional):

tttttttttrrrs

where
t is Timestamp (9 characters)
r is Randomness (3 characters)
s is Scalability (1 characters)

Encoding

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

0123456789ABCDEFGHJKMNPQRSTVWXYZ

Optional Long Int Representation

1234567890123456789

(with a maximum 13-character length in string format)

Monotonicity and Overflow Error Handling

Randomness

When generating a Ulid-Flake within the same millisecond, the randomness component is incremented by a n-bit entropy in the least significant bit position (with carrying). Thus, comparing just incremented 1-bit one time, the incremented n-bit mechanism cloud lead to an overflow error sooner.

when the generation is failed with overflow error, it should be properly handled in the application to wait and create a new one till the next millisecond is coming. The implementation of Ulid-Flake should just return the overflow error, and leave the rest to the application.

Timestamp and Over All

Technically, a 13-character Base32 encoded string can contain 65 bits of information, whereas a Ulid-Flake must only contain 64 bits. Further more, there is a 1-bit sign bit at the beginning, only 63 bits are actually carrying effective information. Therefore, the largest valid Ulid-Flake encoded in Base32 is 7ZZZZZZZZZZZZ, which corresponds to an epoch time of 8,796,093,022,207 or 2^43 - 1.

Any attempt to decode or encode a Ulid-Flake larger than this should be rejected by all implementations and return an overflow error, to prevent overflow bugs.

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).

Stand-alone version (default):

 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_int_time_high                     |
+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
| 12_bit_uint_time_low  |          20_bit_uint_random           |
+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+

Scalable version (optional):

 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_int_time_high                     |
+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+
| 12_bit_uint_time_low  |      15_bit_uint_random     | 5_bit_s |
+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+-+

Contributing

We welcome contributions! Please see our CONTRIBUTING.md for guidelines on how to get involved.

License

This project is licensed under the MIT License. See the LICENSE file for details.

Acknowledgments

ULID

Twitter's Snowflake

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