One of the best parts about GC languages is they tend to have much more efficient allocation/freeing because the cost is much more lumped together so it shows up better in a profile.

Agreed, however there is also a reason why the best ones also pack multiple GC algorithms, like in Java and .NET, because one approach doesn't fit all workloads.

Then there’s perl, which doesn’t free at all.

Perl frees memory. It uses refcounting, so you need to break heap cycles or it will leak.

(99% of the time, I find this less problematic than Java’s approach, fwiw).

Freedom is overrated... :P

doesn't java also?

I heard that was a common complaint for minecraft

What do you mean - if Java returns memory to the OS? Which one - Java heap of the malloc/free by the JVM?

Java is pretty greedy with the memory it claims. Especially historically it was pretty hard to get the JVM to release memory back to the OS.

To an outsider, that looks like the JVM heap just steadily growing, which is easy to mistake for a memory leak.

> Especially historically it was pretty hard to get the JVM to release memory back to the OS.

This feels like a huge understatement. I still have some PTSD around when I did Java professionally between like 2005 and 2014.

The early part of that was particularly horrible.

This only really ends up being a problem on windows. On systems with proper virtual memory setups, the cost of unused memory is very low (since the the OS can just page it out)

Java has a quite strict max heap setting, it's very uncommon to let it allocate up to 25% of the system memory (the default). It won't grow past that point, though.

Baring bugs/native leaks - Java has a very predictable memory allocation.

When it works. Many programs in GC language end up fighting the GC by allocating a large buffer and managing it by hand anyway because when performance counts you can't have allocation time in there at all. (you see this in C all the time as well)

That's generally a bad idea. Not always, but generally.

It was a better idea when Java had the old mark and sweep collector. However, with the generational collectors (which are all Java collectors now. except for epsilon) it's more problematic. Reusing buffers and objects in those buffers will pretty much guarantees that buffer ends up in oldgen. That means to clear it out, the VM has to do more expensive collections.

The actual allocation time for most of Java's collectors is almost 0, it's a capacity check and a pointer bump in most circumstances. Giving the JVM more memory will generally solve issues with memory pressure and GC times. That's (generally) a better solution to performance problems vs doing the large buffer.

Now, that said, there certainly have been times where allocation pressure is a major problem and removing the allocation is the solution. In particular, I've found boxing to often be a major cause of performance problems.

If people didn't need to do it, they wouldn't generally do it. Not always, but generally.

People do stuff they shouldn't all the time.

For example, some code I had to clean up pretty early on in my career was a dev, for unknown reasons, reinventing the `ArrayList` and then using that invention as a set (doing deduplication by iterating over the elements and checking for duplicates). It was done in the name of performance, but it was never a slow part of the code. I replaced the whole thing with a `HashSet` and saved ~300 loc as a result.

This individual did that sort of stuff all over the code base.

Reinventing data structures poorly is very common.

Heap allocation in java is something trivial happens constantly. People typically do funky stuff with memory allocation because they have to, because the GC is causing pauses.

People avoid system allocators in C++ too, they just don't have to do it because of uncontrollable pauses.

Any extra throughput is far overshadowed by trying to control pauses and too much heap allocations happening because too much gets put on the heap. For anything interactive the options are usually fighting the gc or avoiding gc.