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IIUC word tearing in Java cannot cause arbitrary memory corruption. Any read is guaranteed to see either the old value, or the new value, or half of each. Since these are just numbers we're talking about, not pointers, and the language doesn't otherwise allow memory-unsafe things like pointer arithmetic, a data race resulting in word tearing in Java can at worst result in a runtime crash or a logic bug, not arbitrary memory corruption. By contrast, in Go, all it takes to cause full-blown undefined behavior, in the same sense as C or C++ or Rust, is accessing an interface/map/slice value in a racy way, not having the race detector on, and being sufficiently unlucky. I agree that in practice this doesn't stop people from calling Go a memory-safe language. I think it's reasonable to argue that this statement is just wrong. That said, I think the Carbon people once said something along the lines of, in their experience, it's rare in practice for memory corruption bugs in C++ to be caused solely by data races. So a language that's memory-safe in single-threaded contexts, but where concurrency is not memory-safe, is "good enough". Maybe it's the same in Go. I am still suspicious of this, though. Maybe it's just that concurrent operations are rarer in general because they're so famously hard to get right, and this makes it less likely that you'll have one that's exactly the right kind of wrong to cause memory corruption. Certainly it seems at odds with the notion that you want the exceptions to memory safety to be auditable. |
> By contrast, in Go, all it takes to cause full-blown undefined behavior, in the same sense as C or C++ or Rust
It's a little more tricky than that. UB in C/C++/Rust is something that the compiler can use to transform the code. This can lead to other issues. Go's compiler will not do those kinds of things. So on one hand, yes, it can lead to arbitrary Bad Things, but on the other hand, it is different.
> Maybe it's the same in Go.
I was having a discussion about this topic last week, regarding Uber's paper from a few years back trying to analyze the prevalence of these issues: https://news.ycombinator.com/item?id=43336293 You'll notice the person replying to me has pointed out some additional mitigations that have happened since.