nanoid
typeid
nanoid | typeid | |
---|---|---|
83 | 15 | |
23,227 | 2,762 | |
- | 6.1% | |
8.4 | 8.2 | |
8 days ago | 16 days ago | |
JavaScript | Go | |
MIT License | Apache License 2.0 |
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nanoid
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Next.js and Bunny CDN: Complete Guide to Image Uploading with Server Actions
Last thing left is to use our new upload function in our server action. Since I like to upload images in single format and have some more control over them, I will additionally use sharp library. For file name, I'll generate some random string using nanoid:
- Nano ID Collision Calculator
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Why we chose Bun
Our API is in node. And God, how I suffered to import nanoid in an esmodule project. I had to vendor it, since using a previous version was not ideal. With bun, we can no longer worry about that. Just import what you need and done.
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UUIDv7 is coming in PostgreSQL 17
No thread about UUID is complete without a plug for NanoID! https://github.com/ai/nanoid/blob/main/README.md
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Building a File Storage With Next.js, PostgreSQL, and Minio S3
Generate a unique file name using the nanoid library.
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Building a Multi-Tenant App with FastAPI, SQLModel, and PropelAuth
The syntax should read similar to SQL itself. We’re using a Python port of nanoid to generate our IDs. There’s only one thing missing… how do we actually create the table?
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You Don't Need UUID
I usually go for Nano Id for new projects https://github.com/ai/nanoid
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Enhance Your Web Apps: Best JS Libraries 🔧
Nano ID
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Analyzing New Unique Identifier Formats (UUIDv6, UUIDv7, and UUIDv8) (2022)
In another comment I mentioned I use nanoid in my projects now. It has a default space of 64^21 and has an a page where you can play with key lengths and alphabet sizes and see the probability of collisions :
https://zelark.github.io/nano-id-cc/
At the default 64 character alphabet with a 21 character key length it would take ~41 million years in order to have a 1% probability of at least one collision if you generated 1000 ids per second.
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How I use Nano ID in Rails
Using randomly generated IDs like Nano ID could be a good alternative, however, as a developer, we must understand what Nano ID really does in our application. Defining the number of characters in the generated IDs is also important, to help with that Nano ID has a Collision Calculator to give us how many years in order to have a 1% probability of collision.
typeid
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ULIDs and Primary Keys
I’ve seen this sort of design referred to as “typed IDs”: https://github.com/jetify-com/typeid
Doesn’t use the crockford encoding, but does is another one that minimises confusables.
- Type-safe, K-sortable, globally unique identifier inspired by Stripe IDs
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The UX of UUIDs
https://github.com/uuid6/new-uuid-encoding-techniques-ietf-d...
But there is always TypeID in the meantime which uses UUIDv7 under the hood: https://github.com/jetify-com/typeid
Either way, I am in favor of prefixing and using alternative encodings, but it will need some time to figure out the best route. In the mean time, there are so many alternatives. TypeID, NanoID, ULID, etc. I even made my own quick one just for giggles: https://github.com/daegalus/snowflakes
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Adding type safety to object IDs in TypeScript
If you want a type-prefixed UUIDv7 type, I can wholeheartedly recommend TypeID-JS: https://github.com/jetpack-io/typeid-js
Also available for a whole bunch of other languages: https://github.com/jetpack-io/typeid
UUIDv7 is UUIDv4-compatible (i.e. you can put a v7 UUID anywhere a v4 UUID would go, like in Postgres's UUID datatype) and is time-series sortable, so you don't lose that nice lil' benefit of auto-incrementing IDs.
And if you use something like TypeORM to define your entities, you can use a Transformer to save as plain UUIDv7 in the DB (so you can use UUID datatypes, not strings), but deal with them as type-prefixed strings everywhere else:
```
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You Don't Need UUID
IMO, a good middleground is using schemes like TypeID[0], ulid[1], or KSUID[2] that provides a more compact and readable (base32) representation and provides better database locality (K-sortable).
[0] https://github.com/jetpack-io/typeid
- typeid: Type-safe, K-sortable, globally unique identifier inspired by Stripe IDs
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Why do so many EF tutorials use GUIDs as primary key?
If you do consider a GUID, I recommend the TypeID library we recently open-sourced. It has typing as part of the id, and it's based on UUIDv7. We think it has a few benefits over other GUIDs, including: + Easier to debug because of the type information + Type-safety can be enforced + Thanks to UUIDv7 is has good locality properties when used as the primary key of a database (unlike a completely random GUID) + We have a dotnet implementation in C# available
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How to create unique id for every todo in a todo list.
If you’re open to a globally unique identifier like UUID, I’d recommend you check out TypeIDs which we recently open sourced https://github.com/jetpack-io/typeid. They are based on the UUIDv7 standard, but add type information (like what Stripe does in their APIs), and we have a TypeScript implementation available.
What are some alternatives?
snowflake - Snowflake is a network service for generating unique ID numbers at high scale with some simple guarantees.
rust-ksuid - A pure-Rust KSUID implementation
ksuid - K-Sortable Globally Unique IDs
typeid-ts - TypeID UUIDv7 implementation in Typescript (Lib and CLI)
typedorm - Strongly typed ORM for DynamoDB - Built with the single-table-design pattern in mind.
typeid-go - Go implementation of TypeIDs: type-safe, K-sortable, and globally unique identifiers inspired by Stripe IDs
pg_random_id - Provides pseudo-random IDs in Postgresql databases
typeid-sql - SQL implementation TypeIDs: type-safe, K-sortable, and globally unique identifiers inspired by Stripe IDs
jest - Delightful JavaScript Testing.
Numeral-js - A javascript library for formatting and manipulating numbers.
snowid - A Decentralized, K-Ordered 128-bit Unique ID Generator library in C.