It has been shown to run faster in some benchmarks. This is usually due to hotspot optimizations performed at runtime by the VM, but also sometimes thanks to offloading the (often costly) deallocation of memory from the main thread. Since Java has a GC running in a background thread, the deallocation of memory occurs outside of the measured execution.
However, I remain convinced that while burst execution of a computation can perform on par with a language like C or Rust, the total resource usage of Java code is significantly worse. When taking into account the entire execution including GC and JIT compilation, it will have spent more memory and/or CPU cycles. It’s harder to quantify, but the overall performance experienced by the user becomes worse. Fans run more and battery time is lower.
And yeah, I’d say Java libraries are generally more poorly written than e.g. their Rust counterparts, for example not paying attention to the CPU cache (which is hard and sometimes impossible since Java still lacks value classes).
But they are slow. At least when you’re doing a lot of things at once on your machine (I run ~20 “microservices” for my local dev environment because it’s a goddamn distributed monolith, most of them are JVM). IntelliJ often grinds down to a halt. Other software on my laptop runs fine. Firefox doesn’t get slow at all.
It’s probably because it uses Java, which isn’t known for its speed
the java VM itself is actually pretty damn fast, sometimes even faster than native code because it can optimize code paths while it’s running
applications built with it tho, I’d say hit and miss but honestly we all know it’s a miss most of the time
It has been shown to run faster in some benchmarks. This is usually due to hotspot optimizations performed at runtime by the VM, but also sometimes thanks to offloading the (often costly) deallocation of memory from the main thread. Since Java has a GC running in a background thread, the deallocation of memory occurs outside of the measured execution.
However, I remain convinced that while burst execution of a computation can perform on par with a language like C or Rust, the total resource usage of Java code is significantly worse. When taking into account the entire execution including GC and JIT compilation, it will have spent more memory and/or CPU cycles. It’s harder to quantify, but the overall performance experienced by the user becomes worse. Fans run more and battery time is lower.
And yeah, I’d say Java libraries are generally more poorly written than e.g. their Rust counterparts, for example not paying attention to the CPU cache (which is hard and sometimes impossible since Java still lacks value classes).
AFAIK, JetBrains IDEs are also based on Java
Android Studio is a Jetbrains IDE itself!
I think that was his point. He said none of the other jetbrains ides are slow so it can’t just be because it’s java
But they are slow. At least when you’re doing a lot of things at once on your machine (I run ~20 “microservices” for my local dev environment because it’s a goddamn distributed monolith, most of them are JVM). IntelliJ often grinds down to a halt. Other software on my laptop runs fine. Firefox doesn’t get slow at all.