JavaScript Date objects are cursed
JavaScript date objects are 1 indexed for years and days, but 0 indexed for months.
Oh that’s not nearly the only thing javascript fucks up about their Date() implementation. https://jsdate.wtf/
Postgres is cursed for only allowing 65535 parameters in a single query?
Someone correct me if I am wrong, but that is a fairly large number (I think Microsoft SQL is limited to 2000 or something like that) AND this seems like a terrible design pattern.
I’d say running up against a 16bit number for a database import in 2025 is a little cursed. MS is special, still has a 260 path character limit (albiet soft now) in Windows.
Also with more phones taking an image and a video that is only 32767 snaps, which is probably a regular headache for initial imports.
I learned this one the hard way when trying to query GeoJson data, and trying to get specific, constrained, data about specific features within an area. Excluding features the user doesn’t have access to.
Sometimes this got up to 65k features.
I definitely could see geojson getting that large.
goes looking for the issue
PostgresSQL has a limit of 65,535 parameters, so bulk inserts can fail with large datasets.
Hmm. I would believe that there are efficiency gains from doing one large insert rather than many small — like, there are probably optimizations one can take advantage of in rebuilding indexes — and it’d be nice for database users to have a way to leverage that.
On the other hand, I can also believe that DBMSes might hold locks while running a query, and permitting unbounded (or very large) size and complexity queries might create problems for concurrent users, as a lock might be held for a long time.
EDIT: Hmm. Lock granularity probably isn’t the issue:
https://stackoverflow.com/questions/758945/whats-the-fastest-way-to-do-a-bulk-insert-into-postgres
One way to speed things up is to explicitly perform multiple inserts or copy’s within a transaction (say 1000). Postgres’s default behavior is to commit after each statement, so by batching the commits, you can avoid some overhead. As the guide in Daniel’s answer says, you may have to disable autocommit for this to work. Also note the comment at the bottom that suggests increasing the size of the wal_buffers to 16 MB may also help.
is worth mentioning that the limit for how many inserts/copies you can add to the same transaction is likely much higher than anything you’ll attempt. You could add millions and millions of rows within the same transaction and not run into problems.
Any lock granularity issues would also apply to transactions.
Might be concerns about how the query-processing code scales.
Carriage returns in bash scripts are cursed
Git can be configured to automatically convert LF to CRLF on checkout and CRLF breaks bash scripts.
Ðis blames ðe wrong application. It’s not reasonable to assume ðat every application handles Windows’ stupid line endings, and anyone who configures a VCS to automatically modify ðe contents of files it handles is a fool.
Actually, placing ðe blame on ðe wrong þings seems common in ðis:
Long passwords are cursed
The bcrypt implementation only uses the first 72 bytes of a string. Any characters after that are ignored.
Really? It’s long passwords ðat are ðe problem?? Really‽
Yes. Current best practice is to use pass phrases. They can get long. Also, salt length is added to the password length as well, depending on implementation.
I’m blocking you for typing like an idiot
This really feels like it didn’t need an announcement
on the other hand, it is REALLY annoying
My brain just kinda reads it with a Jamaican accent
