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7. Design a Unique ID Generator in Distributed Systems

First thought might be to use a primary key with the auto_increment attribute in a traditional database. However, auto_increment does not work inn a distributed environment because generating unique IDs across multiple databases with minimal delay is challenging.

Step 1 - Understand the problem and establish design scope

Candidate: What are the characteristics of unique IDs?

Interviewer: IDs must be unique and sortable.

Candidate: For each new record, does ID increment by 1?

Interviewer: The ID increments by time but not necessarily only increment by 1.

Candidate: Do IDs only contain numerical values?

Interviewer: Yes.

Candidate: What is the ID length requirement?

Interviewer: IDs should fit into 64-bit.

Candidate: What is the scale of the system?

Interviewer: The system should be able to generate 10,000 IDs per second.

  • IDs must be unique.
  • IDs are numerical values only.
  • IDs fit into 64-bit.
  • IDs are ordered by date.
  • Generate over 10,000 unique IDs per second.

Step 2 - Propose high-level design and get buy-in

Multi-master replication

The first approach is multi-master replication.

MySQL multi-master replication is a database configuration where two or more MySQL servers (masters) simultaneously handle read and write operations, and replicate data changes to each other.

This approach uses the databases' auto_increment feature. Instead of increasing next ID by 1, we increase it by k, where k is the number of database servers in use.

Cons

  • Hard to scale with multiple data centers.
  • IDs do not go up with time across multiple servers.
  • It does not scale well when a server is added or removed.

UUID

UUID is 128-bit number used to identify information in computer systems. UUID has a very low probability of getting collision.

Here is an example of UUID: dffef5c0-d6d2-4080-a78b-fa9f1d924a1a.

UUIDs can be generated independently without coordination between servers.

Pros

  • No coordination between servers is needed so there will not be any synchronization issues.
  • Easy to scale.

Cons

  • IDs are 128-bits long, but our requirement is 64-bits.
  • IDs do not go up with time.
  • IDs could be non-numeric.

Ticket Server

Flickr developed ticket servers to generate distributed primary keys.

The idea is to use a centralized auto_increment feature in a single database server (Ticket Server).

Pros

  • Numeric IDs.
  • Easy to implement, and it works for small to medium-scale applications.

Cons

  • SPOF. To avoid a single point of failure, we can set up multiple ticket servers. However, this introduces new challenges such as synchronization.

Snowflake

None of the above methods meet our specification. Twitter's unique ID generation system called "snowflake" can satisfy our requirements.

---
title: Snowflake
---
packet-beta
0: "Sign bit"
1-42: "timestamp"
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Pros

Cons

Step 3 - Design deep dive

Step 4 - Wrap up