The same way, caller can know which exceptions are really likely to happen in TypeScript, C++, Python. Or in modern Java which avoids checked exceptions anyway. By reading documentation or source code. That's perfectly fine and works for everyone.
And you highlighted one big issue with checked exceptions. You've claimed that those exceptions are "really likely to happen".
When I'm writing reading data from resource stream, the data that's located next to my class files, IO Exceptions are really unlikely to happen.
Another ridiculous example of this checked exception madness:
var inputStream = new ByteArrayInputStream(bytes);
var outputStream = new ByteArrayOutputStream();
inputStream.transferTo(outputStream); // throws IOException? wtf???
This code can throw OutOfMemoryError, StackoverflowError, but never IOException. Yet you're forced to handle IOException which doesn't happen. And that's the issue with checked exceptions.There's no correspondence between checked exceptions and likelihood of their occurence. NullPointerException probably happens more than any checked exception. The division between checked exceptions and unchecked exceptions is absolutely arbitrary and makes sense only at caller place, never in called function signature.
> Modules absolutely achieved their primary goal: stopping libraries from accessing JDK internals without the application's knowledge. The ecosystem is slow on the uptake since split packages and access to internal APIs is endemic, but it is happening ever so slowly. I wish libraries could opt into not being part of the unnamed module.
"Slow" is an understatement. I don't see this happening at all. Last time I tried to write very simple application with modules, I spent so many hours banging my head over various walls, that I probably will not do another attempt in a foreseeable future.
https://www.reddit.com/r/java/comments/1o37hlj/reopening_the...
And some people write code in Python which provides no automatic verification whatsoever.
Actually unchecked exceptions are very similar to dynamically typed languages. And that's fine. As Python and other languages proved by their mere existence: dynamic typing is not inherently bad. Sometimes it's good. I think that for error handling, it's good.
> Java class loaders can do anything including loading resources from the network. Which is admittedly not that common these days after the demise of applets.
Technically they can, but in my particular case I know very well, that my resources are residing inside of JAR file. And if that JAR file happened to reside on the failed HDD block, that's not going to be a recoverable error.
When we're talking about IO Exceptions, it's almost always failed operation which requires complete abort. It's either failed hardware, or, typically, disconnected client. Can't do much about it, other than clean up and proceed to the next client.
And the same could be said about SQL Exceptions. Like 99% of SQL exceptions are application bugs which are not going to be handled in any way other than wind up and return high level HTTP 500 error or something like that. There are cases when SQL exception should be handled, but those are rare. Yet JDBC developers decided that programmers must execute error handling rituals on every call site.
> The NullPointerException indicates a bug in the application. By the very reason it occurs, the current thread cannot continue execution normally.
That's not exactly true. In JVM, NullPointerException is absolutely well defined and you can continue execution after catching it. You might suspect, that logical application state is corrupted, but sometimes you know well that everything's fine (and in most cases you hope that everything's fine, if your Spring MVC handler threw NPE, Spring is not going to crash, it'll continue to serve requests). It's not C++ with its undefined stuff. JVM is pretty reliable when it comes to every error, including NPE, stack overflow or OOM. Latter is special, because even handling error might prove challenging, when memory allocations fail, but JVM will not hang up or crash.
Python is a language with almost no static validation whatsoever. It would be very odd if it cared about checked exceptions. This dynamism makes big Python code bases infuriating to work with.
> When we're talking about IO Exceptions, it's almost always failed operation which requires complete abort. It's either failed hardware, or, typically, disconnected client. Can't do much about it, other than clean up and proceed to the next client.
If this is the case then the solution is to add it to the `throws` list.
> That's not exactly true. In JVM, NullPointerException is absolutely well defined and you can continue execution after catching it.
Why would I catch a NullPointerException instead of fixing my application? The JVM is indeed completely fine, but processing still cannot continue because that code simply does not exist.
Modules absolutely achieved their primary goal: stopping libraries from accessing JDK internals without the application's knowledge. The ecosystem is slow on the uptake since split packages and access to internal APIs is endemic, but it is happening ever so slowly. I wish libraries could opt into not being part of the unnamed module.
Virtual threads were designed with explicit cooperation of the community, with the explicit goal of making it easy to switch as much existing code over to it as possible. I really don't understand the scepticism there. Most other languages went with promises or reactive streams because they were inspired by how functional programming languages do it.