Hashids.java
nanoid
Hashids.java | nanoid | |
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32 | 84 | |
1,015 | 23,481 | |
0.3% | - | |
0.0 | 8.4 | |
7 months ago | 21 days ago | |
Java | JavaScript | |
MIT License | MIT License |
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Hashids.java
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Why Choose ULIDs over Traditional UUIDs or IDs for Database Identification?
My preference: using traditional incremental numeric IDs and obfuscate them with Hashids (https://hashids.org) when exposed publicly
- Hashids: Generate short unique ids from integers
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Auto Generate Sequential UIID
You basically want Hashids but sequential? Why not simple convert a base 10 (0-9) number to hex? (0-F)
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Features I'd Like in PostgreSQL
I found hashids [1] to be a great compromise between integer ids in the database and copyable non-enumerable strings on the client.
[1] https://hashids.org/
- Short, friendly base32 slugs from timestamps
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We Chose NanoIDs for PlanetScale’s API
I wonder how this might compare to just storing regular autoincrementing ints in the database, and converting to/from hashids (https://hashids.org/) at the edge. It eliminates the collision concern and stores more compactly at the cost of a tiny amount of encode/decode when processing requests. You’d want to push it down as close to the database layer as possible to avoid inadvertent int ID leaks; I added native hashids support to clickhouse but I’m not sure what other database support might entail.
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How can I generate truly unique slugs?
Since hashids are not really hashes and are not secure at all this is not even achieved. Hashids can be easily decoded without the salt by a simple brute-force attack described by the authors of hashid themselves right on their website: https://hashids.org/
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How to handle id-based routes with UUID
You don't necessarily need to use UUIDs. You could use something like Hashids to generate random strings from your sequential IDs in a reversible way, so that users can't predict what their values will be, but you can decode them as needed.
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All of my database models have id replaced with UUID4s. Is there any risk to using these in URLs?
You should not use UUIDv4 as a primary key. You can use normal int values and then use hashids to make them safe for URL. UUIDv7 might be good to use as well once they are more widely supported as well.
- What’s Django’s argument for using 64-bit int as default pk over uuid. Can anyone point me to something I can read?
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.
What are some alternatives?
BLAKE3 - the official Rust and C implementations of the BLAKE3 cryptographic hash function
snowflake - Snowflake is a network service for generating unique ID numbers at high scale with some simple guarantees.
uuid7 - UUID version 7, which are time-sortable (following the Peabody RFC4122 draft)
ksuid - K-Sortable Globally Unique IDs
Guava - Google core libraries for Java
typedorm - Strongly typed ORM for DynamoDB - Built with the single-table-design pattern in mind.
JGit - JGit project repository (jgit)
pg_random_id - Provides pseudo-random IDs in Postgresql databases
Embulk - Embulk: Pluggable Bulk Data Loader.
jest - Delightful JavaScript Testing.
JADE - a pug implementation written in Java (formerly known as jade)
Numeral-js - A javascript library for formatting and manipulating numbers.