PostgreSQL Extension for Generating Unique IDs

uids-postgres

postgres=# CREATE EXTENSION uids;
CREATE EXTENSION

postgres=# SELECT generate_typeid('user');
 generate_typeid
--------------------------------------
 user_01h2xcejqtf2nbrexx3vqjhp41

Why should I use this?

Using the uids-postgres extension for generating unique IDs in PostgreSQL offers several advantages:

1. Diverse ID Generation Methods

The extension supports multiple methodologies for generating unique IDs, including UUID v6, UUID v7, NanoId, Ksuid, Ulid, Timeflake, PushId, and Cuid2. This flexibility allows you to choose the most suitable ID generation strategy for your specific use case, whether you need time-based IDs, lexicographically sortable IDs, or IDs with custom prefixes.

2. Enhanced Data Integrity and Uniqueness

Using unique identifiers like UUIDs ensures data integrity and uniqueness across distributed systems. This is particularly important for applications that require federated data or need to avoid collisions in a multi-node environment.

3. Performance and Efficiency

Generating unique IDs within the database can be more efficient than handling this in the application layer. This reduces the overhead of network communication and ensures that ID generation is consistent and centralized.

4. Ease of Use

The extension provides simple SQL functions to generate and validate various types of unique IDs. This makes it easy to integrate into existing SQL workflows without requiring significant changes to your application code.

5. Compliance and Security

For applications that require compliance with data security standards, using IDs like UUIDs can help meet these requirements. The extension ensures that IDs are generated in a secure manner, reducing the risk of predictable or duplicate IDs.

6. Community and Ecosystem

PostgreSQL has a rich ecosystem of extensions that enhance its capabilities. By using uids-postgres, you leverage the power of PostgreSQL's extensibility, allowing you to tailor your database to meet specific needs without altering its core architecture.

7. Scalability

Unique IDs like UUIDs and Ksuid are designed to be scalable and can handle large volumes of data efficiently. This is crucial for applications that need to maintain good performance as they grow to handle billions of rows.

8. Compatibility with Modern Applications

Many modern applications, especially those involving microservices, distributed systems, and IoT, benefit from using unique identifiers. The uids-postgres extension supports various ID types that are well-suited for these environments, ensuring compatibility and ease of integration.

By using the uids-postgres extension, you can enhance your PostgreSQL database with robust, flexible, and efficient unique ID generation capabilities, making it a valuable tool for a wide range of applications.

Why should I use ulid/typeid/other ids etc over uuid?

Choosing ULID or TypeID/ etc over UUID can offer several advantages depending on your specific use case. Here are some key reasons:

Advantages of ULID over UUID

Lexicographical Sortability
- ULIDs are designed to be lexicographically sortable, which means they can be sorted in alphabetical order. This is particularly useful for databases and systems that need to quickly sort and search large numbers of identifiers.
Faster Generation
- ULIDs use a cryptographically secure pseudorandom number generator (CSPRNG) for the random component, which is faster than the method used for generating UUIDs. Benchmarks have shown that ULID generation can be up to 50% faster than UUID generation, making them suitable for high-volume environments.
Compactness and URL-Safety
- ULIDs are more compact, requiring only 26 characters compared to UUIDs' 36 characters. They are also URL-safe, meaning they can be used in URLs without the need for encoding or escaping, which is beneficial for web applications and APIs.
Timestamp Encoding
- ULIDs include a timestamp component, which allows them to be sorted by creation order. This feature is useful for tracking the order of events in distributed systems and for data partitioning and indexing in NoSQL databases.

Advantages of TypeID over UUID

Custom Prefixes
- TypeIDs allow you to generate unique identifiers with specific prefixes, which can be useful for categorizing and managing different types of entities within your system. This feature is not available with standard UUIDs.
Readability and Context
- The custom prefix in TypeIDs can provide additional context about the type of entity the ID represents, making it easier to understand and manage the data.

When to Use UUID

Cryptographic Security
- If your application requires identifiers that are truly random and have no predictable pattern, such as for cryptographic or security purposes, UUIDs are a better choice. ULIDs, by design, are not intended to be cryptographically secure and should not be used for sensitive applications.
Standardization
- UUIDs are standardized by RFC 4122, which means they are widely supported and recognized across different systems and platforms. This can be important when working with vendors or integrating with third-party systems.

Summary

Use ULID if you need lexicographically sortable identifiers, faster generation speeds, compactness, and URL-safety.
Use TypeID if you need custom prefixes for better readability and context.
Use UUID if you need cryptographic security, standardization, and do not require sorting capabilities.

Choosing between these options depends on the specific requirements of your application, such as the need for sorting, speed of generation, security, and readability.

Description

Methodology	Function	Crate	Description
UUID v6	`generate_uuidv6()`	`uuid`	UUID v6 ([RFC 4122][rfc-4122-update])
	`generate_uuidv6_text()`		UUID v6 as text
	`generate_uuidv6_uuid()`		UUID v6 as Postgres UUID object
UUID v7	`generate_uuidv7()`	`uuid`	UUID v7 ([RFC 4122][rfc-4122-update])
	`generate_uuidv7_bytes()`		UUID v7 as bytes
	`generate_uuidv7_from_string(TEXT)`		Generate UUID v7 from a string
	`parse_uuidv7(TEXT)`		Parse UUID v7
NanoId	`generate_nanoid()`	`nanoid`	NanoID, developed by [Andrey Sitnik][github-ai]
	`generate_nanoid_length(INT)`		NanoID with a custom length
	`generate_nanoid_c(TEXT)`		NanoID with custom alphabets
	`generate_nanoid_length_c(INT, TEXT)`		NanoID with custom length and alphabets
Ksuid	`generate_ksuid()`	`svix-ksuid`	Created by [Segment][segment]
	`generate_ksuid_bytes()`		KSUID as bytes
Ulid	`generate_ulid()`	`ulid`	Unique, lexicographically sortable identifiers
	`generate_ulid_bytes()`		ULID as bytes
	`generate_ulid_from_string(TEXT)`		Generate ULID from a string
Timeflake	`generate_timeflake()`	`timeflake-rs`	Twitter's Snowflake + Instagram's ID + Firebase's PushID
	`generate_timeflake_bytes()`		Timeflake as bytes
	`generate_timeflake_uuid()`		Timeflake as UUID
PushId	`generate_pushid()`	`pushid`	Google Firebase's PushID
	`generate_pushid_text()`		PushID as text
Cuid2	`generate_cuid2()`	`cuid2`	CUID2
	`check_cuid2(TEXT)`		Check if a string is a valid CUID2
TypeId	`generate_typeid(TEXT)`	`typeid`	Generate TypeId with a specific prefix
	`check_typeid(TEXT, TEXT)`		Check if a TypeId matches a specific prefix

This Postgres extension is made possible thanks to pgrx.

Supported IDs

Installation

Use pgrx. You can clone this repo and install this extension locally by following this guide.

You can also download relevant files from releases page.

Docker Environment

Refer to the included Dockerfile for the installation template.

Usage

Enable the Extension

CREATE EXTENSION IF NOT EXISTS uids;

Functions

KSUID

Generate a new KSUID:

SELECT generate_ksuid();

Example output:

28KKKI8lpDkK2lHbAdWdgJYoLWF

Generate KSUID bytes:

SELECT generate_ksuid_bytes();

Example output:

\x0ef557bc9b5b8027f222e2b32ed65e91b6bb8eb6

NanoId

Generate a new NanoId (default size 21):
```
SELECT generate_nanoid();
```
Example output:
```
FfuwjZHjS5j5rATHVyl8M
```
Generate a NanoId with a custom size:
```
SELECT generate_nanoid_length(10);
```
Example output:
```
V2D2D7-dnw
```

Generate a NanoId with custom alphabets (length 21):

SELECT generate_nanoid_c('1234567890abcdef');

Example output:

6df80ad84587f4a20838c

Generate a NanoId with custom alphabets and custom length:
```
SELECT generate_nanoid_length_c(10, '1234567890abcdef');
```
Example output:
```
050487bff0
```

Ulid

Generate a new Ulid:

SELECT generate_ulid();

Example output:

01G1JE4GXWC1A9PXHG0SXQDE1J

Generate Ulid bytes:

SELECT generate_ulid_bytes();

Example output:

\x018064e2bff9e6bb876aa8948e50d9c6

Generate Ulid from a custom string:

SELECT generate_ulid_from_string('01CAT3X5Y5G9A62F1rFA6Tnice');

Example output:

01CAT3X5Y5G9A62F1RFA6TN1CE

TypeId

Generate a TypeId with a specific prefix:

SELECT generate_typeid('user');

Example output:

user_01h2xcejqtf2nbrexx3vqjhp41

Check if a TypeId matches a specific prefix:

SELECT check_typeid('user', 'user_01h2xcejqtf2nbrexx3vqjhp41');

Example output:

true

UUIDv7

Generate a new UUIDv7:

SELECT generate_uuidv7();

Example output:

01809424-3e59-7c05-9219-566f82fff672

Generate UUIDv7 bytes:

SELECT generate_uuidv7_bytes();

Example output:

\x018094243e597c059219566f82fff672

Generate UUIDv7 from a string:

SELECT generate_uuidv7_from_string('67e55044-10b1-426f-9247-bb680e5fe0c8');

Example output:

67e55044-10b1-426f-9247-bb680e5fe0c8

Parse UUIDv7:

SELECT parse_uuidv7('67e55044-10b1-426f-9247-bb680e5fe0c8');

Example output:

67e55044-10b1-426f-9247-bb680e5fe0c8

Cuid2

Generate a new Cuid2:

SELECT generate_cuid2();

Example output:

cl8f8y8f80000000000000000

Check if a string is a valid Cuid2:

SELECT check_cuid2('cl8f8y8f80000000000000000');

Example output:

true

PushId

Generate a new PushId:

SELECT generate_pushid();

Example output:

-MZ1e2f3g4h5i6j7k8l9

Generate a PushId as text:

SELECT generate_pushid_text();

Example output:

-MZ1e2f3g4h5i6j7k8l9

Timeflake

Generate a new Timeflake:

SELECT generate_timeflake();

Example output:

01F8MECHJ8KZ9Q9J8KZ9Q9J8KZ

Generate Timeflake bytes:

SELECT generate_timeflake_bytes();

Example output:

\x018064e2bff9e6bb876aa8948e50d9c6

Generate Timeflake UUID:

SELECT generate_timeflake_uuid();

Example output:

018064e2-bff9-e6bb-876a-a8948e50d9c6

UUIDv6

Generate a new UUIDv6:

SELECT generate_uuidv6();

Example output:

1e4eaa4e-7c4b-6e5d-8a4e-7c4b6e5d8a4e

Generate a UUIDv6 as text:

SELECT generate_uuidv6_text();

Example output:

1e4eaa4e-7c4b-6e5d-8a4e-7c4b6e5d8a4e

Generate a UUIDv6 as a Postgres UUID object:

SELECT generate_uuidv6_uuid();

Example output:

1e4eaa4e-7c4b-6e5d-8a4e-7c4b6e5d8a4e

This setup provides a comprehensive set of functions to generate and validate various types of unique identifiers within a PostgreSQL extension using pgx.

References

In recent additions to this project, the new ids, and the dockerfile were taken from pgx_ulid, alongside some help from pg_idkit.

spa5k/uids-postgres

PostgreSQL Extension for Generating Unique IDs

uids-postgres

Why should I use this?

1. Diverse ID Generation Methods

2. Enhanced Data Integrity and Uniqueness

3. Performance and Efficiency

4. Ease of Use

5. Compliance and Security

6. Community and Ecosystem

7. Scalability

8. Compatibility with Modern Applications

Why should I use ulid/typeid/other ids etc over uuid?

Advantages of ULID over UUID

Advantages of TypeID over UUID

When to Use UUID

Summary

Description

Supported IDs

Installation

Docker Environment

Usage

Enable the Extension

Functions

KSUID

NanoId

Ulid

TypeId

UUIDv7

Cuid2

PushId

Timeflake

UUIDv6

References