I really don't see why this is a problem. It gives out exactly what you give it.
If you suspect it is happening you can read it (by casting the SELECT as a BLOB, but obviously that's not a common pattern.
Personally I've never done it, and clearly it's not something useful for security, but it does open the door to interesting meta-data storage opportunities. Again with the proviso that it is "untrustworthy".
A good moment to appreciate the elegance of UTF-8 which allowed to encode multi-byte characters preserving the semantics of C strings.
>The quote() SQL function only shows characters up to and excluding the first NUL.
>The .dump command in the CLI omits the first NUL character and all subsequent text in the SQL output that it generates. In fact, the CLI omits everything past the first NUL character in all contexts.
That's just all kinds of "oh no", wow.
I mean, I can't come up with a better strategy, but... oof. C-style strings being a thing at all really hurts.
Well, C strings exist and are probably here to stay.
I believe Pascal strings, where the length is stored in the 0th character, were much worse (also, obligatory reference to Joel Spolsky's “Back to Basics” and “fucked strings” [1]).
Looks like we only got enough memory to spare to allow arbitrary length strings with arbitrary characters – that is, being able to use 2 or 4 bytes for the length of every string – in 1990s or so, when C++ strings and similar types became popular.
[1]: https://www.joelonsoftware.com/2001/12/11/back-to-basics/
Until unicode became widely supported, many databases used to reserve 1 byte for the length of a VARCHAR, typically at the 0th position of the column. The content was understandably limited to 255 characters.
Because of that extra byte per row, it is considered a waste of memory to use VARCHAR for data that is expected to be fixed-length. Well, it's an even larger waste in some cases. A certain popular ORM continues to insist on mapping UUID to VARCHAR(36), wasting a whopping 21 bytes per row! Certainly something to keep in mind at a time when both RAM and disks are expensive.
SQLite of course doesn't care, and stores all string as TEXT.