[Fabricio20]

> bigints are smaller and faster, with less footguns

But be careful!! Javascript WILL interpret your bigints as Number() and round them down because they are too big without telling you!!!

Famously seen by every snowflake user that has interacted with Javascript, quite an annoying problem.

[silvestrov]

Good trick is to prefix all such keys with magic, i.e. a couple of letters that identify type type of key.

Then it will always be a string and you will be free to change the format/type of the key in the future to UUID or whatever you like.

[zmj]

Rule of thumb: if you’re not doing math with a value, it’s not a number.

[throw-the-towel]

Speaking of which, one of my favourite UX brainfarts is treating text fields where you enter a sum as numbers.

Why, you ask? Let's you have a number like 10,000 and you want to replace it with 20,000. You delete the leading 1, and boom! The number is now zero, and three of the digits are gone, and you'll have to retype them like you got no other things to do with your life.

[myko]

I've been preaching this for years but nobody believes me until it bites them in the ass

[klysm]

Indexes?

[Terr_]

> Javascript WILL interpret your bigints as Number()

A similar horror story from PHP, which I discovered by diagnosing a test failure. (Or maybe it was in production? Long ago, can't remember.)

I think the code in question was for some kind of web auth, comparing random 32-character hexadecimal strings. PHP has a "feature" where its == operator falls back to trying certain strings as numbers... and that includes a version with scientific notation. (12000 == "12000" == "12e3")

Such a collision through bad comparison may seem unlikely, but there are two islands of higher odds: 0*10^X is zero for any X, and X*10^0 is one for any X. Finally, leading zeros can be included. ("0e1234" == "00000e1" and "1234e0" == "9e0000")

The fix was simply going to stricter ===, but it definitely reinforced my dislike of "loose" languages.

[paulddraper]

!!

Node.js drivers will correctly read int64 as string or bigint, not number.

E.g. pg for PostgreSQL

Maybe there’s a buggy driver but I don’t know it.

[Fabricio20]

Browser!! The browser reads it as Number. If your rest api returns {"id": 1324535222364012585} for example, javascript will try and parse that as number from the response!!!

You can of course, change the api such that it does {"id": "1324535222364012585"} instead and voila, it will no longer try parsing it as number. Or the many other workarounds people have recommended above (like appending a prefix, or using a different encoding), but why is it trying to parse a number thats too big and instead of throwing it just rounds down without telling you????!

[paulddraper]

Huh? The subject was database drivers.

You seem to be talking about JSON. (Which technically has no limit on number size or precision, but in practice is float64.)

[Piezoid]

Using a Feistel cipher and base 32 encoding at the boundaries of the system can help catching vibe coded edge code that attempt to decode identifiers in javascript. It also somewhat obfuscate the cardinalities and fill rate of the tables.

[sheept]

This can be avoided by supplying a reviver:

    const json = '{ "a": 9007199254740993 }'
    JSON.parse(json, (_key, value, context) => /^\d+$/.test(context.source) ? BigInt(context.source) : value)

[tyre]

Which can be avoided by using UUIDs

[jraph]

Or by putting that id between quotes so it's a string.

[spiffytech]

Fortunately we're seeing more JS DB libraries offering to read large numbers as the BigInt type.

[shakna]

But frustratingly, a JS BigInt is nothing like a BigInt in any other language.

In JS - BigInt is 64bit integer.

In anything else - BigInt is a arbitrarily large integer.

[anematode]

Hm? JavaScript BigInts are arbitrary precision, and you need to use methods like BigInt.asIntN(64, a) to convert them to 64 bits

[mort96]

I hate this so much because you can’t nicely serialise a BigInt as JSON. Using a string is nicer but it only makes sense where int64 is used as an ID, not where it’s used as a number; and you don’t wanna have to configure this per field per query.

[sheept]

You can serialize a BigInt by specifying a replacer:

    const obj = { a: 9007199254740993n }
    JSON.stringify(obj, (_key, value) => typeof value === 'bigint' ? JSON.rawJSON(value.toString()) : value)

[mort96]

And then you end up with strings on the other side, not numbers.

[marcosdumay]

IMO, I'm tending toward thinking that having types on your readable serialization format is a mistake, and that they should be always input to the (de)serializer instead.

[nh2]

JSON has arbitrary length numbers in the spec only.

[mort96]

Completely and utterly irrelevant.

[Etheryte]

This is simply not true? Or maybe I misunderstand what you mean?