Snowflake IDs are used in distributed environments to generate collision-free, short, unique IDs. Unlike traditional methods, such as relying on a database for ID generation or using a long 128-bit UUID, Snowflake IDs use time and simple bitwise operations. This clever technique allows each microservice to generate unique IDs independently, without needing a central system to avoid collisions.
Generating a Snowflake ID is like building a puzzle with three key pieces. Let’s break it down:
Take an n-bit long bit string:
First, we start with a bit string of length n. This will hold all the necessary information to generate a unique ID.
Divide it into three sections: i, j, and k:
The bit string is divided into three parts, such that i + j + k = n.
i - The Time Component:
The first part, i, represents the current time. Choose a fixed start time (also known as the epoch), and the bits of i will be calculated by taking the current time in nanoseconds and subtracting the start time. This ensures that newer IDs are always larger than older ones.
j - The Machine ID:
The second part, j, is the machine identifier. When your microservice starts, it is assigned a unique ID (machine ID), which becomes the j part. This ensures that IDs generated by different machines won’t collide, even if they are created at the exact same moment.
k - The Sequence Number:
The last part, k, is the sequence number. It acts like a counter that increments whenever multiple IDs are generated within the same time unit. This keeps IDs unique, even if they are generated in rapid succession.
Think of a Snowflake ID as a special dish tag in a busy kitchen:
Check this GitHub repo for a Go implementation of Snowflake ID generation
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