- cross-posted to:
- [email protected]
- cross-posted to:
- [email protected]
Meme transcription: Panel 1. Two images of JSON, one is the empty object, one is an object in which the key name
maps to the value null
. Caption: “Corporate needs you to find the difference between this picture and this picture”
Panel 2. The Java backend dev answers, “They’re the same picture.”
It can, but especially during serialization Java sometimes adds null references to null values.
That’s usually a mistake by the API designer and/or Java dev, but happens pretty often.
That’s the thing though, isn’t it? The devs on either side are entering into a contract (the API) that addresses this issue, even if by omission. Whoever breaks the contract must rightfully be ejected into the stratosphere.
That’s exactly not the thing, because nobody broke the contract, they simply interpret it differently in details.
Having a null reference is perfectly valid json, as long as it’s not explicitly prohibited. Null just says “nothing in here” and that’s exactly what an omission also communicates.
The difference is just whether you treat implicit and explicit non-existence differently. And neither interpretation is wrong per contract.
I think we’re fully in agreement here: if the API doesn’t specify how to handle null values, that omission means they’re perfectly valid and expected.
Imagine a delivery company’s van exploding if somebody attempts to ship an empty box. That would be a very poorly built van.
Null means I’m telling you it’s null.
Omission means it’s not there and I’m not telling you anything about it.
There is a world of difference between those two statements. It’s the difference between telling someone you’re single or just sitting there and saying nothing.
I (think, at least) the point they’re making is that unless the API contract specifically differentiates between “present and null” and “absent” then there is no difference. (Specifically for field values.)
The point I’m making is kind of the opposite, unless the contract explicitly states that they’re the same they should not be treated as the same, because at a fundamental level they are not the same thing even if Java wants to treat them as such.
Nope.
If there’s a clear definition that there can be something, implicit and explicit omission are equivalent. And that’s exactly the case we’re talking about here.
Sure, in a specific scenario where you decide they’re equivalent they are, congratulations. They’re not generally.
Did you read the comments above?
You can’t just ignore context and proclaim some universal truth, which just happens to be your opinion.
At the (SQL) database level, if you are using null in any sane way, it means “this value exists but is unknown”. Conflating that with “this value does not exist” is very dangerous. JavaScript, the closest thing there is to a reference implementation for json serialization, drops attributes set to undefined, but preserves null. You seem to be insisting that null only means “explicit omission”, but that isn’t the case. Null means a variety of subtly different things in different contexts. It’s perfectly fine to explicitly define null and missing as equivalent in any given protocol, but assuming it is not.
Again, did you actually read the comments?
Is SQL an API contract using JSON? I hardly think so.
Java does not distinguish between null and non-existence within an API contract. Neither does Python. JS is the weird one here for having two different identifiers.
Why are you so hellbent on proving something universal that doesn’t apply for the case specified above? Seriously, you’re the “well, ackshually” meme in person. You are unable or unwilling to distinguish between abstract and concrete. And that makes you pretty bad engineers.
Null at the SQL means that the value isn’t there, idk where you’re getting that from. SQL doesn’t have anything like JS’s undefined, there’s no other way to represent a missing value in sql other than null (you could technically decide on certain values for certain types, like an empty string, but that’s not something SQL defines).