Comment by amelius

    $ echo 'class Hello { public static void main(String[] args) { System.out.println("Hello, world"); } }' >Hello.java
    $ javac Hello.java 
    $ java --version
    openjdk 21.0.7 2025-04-15 LTS
    OpenJDK Runtime Environment Zulu21.42+21-CRaC-CA (build 21.0.7+6-LTS)
    OpenJDK 64-Bit Server VM Zulu21.42+21-CRaC-CA (build 21.0.7+6-LTS, mixed mode, sharing)
    $ time java -cp . Hello
    Hello, world
    
    real 0m0.026s
    user 0m0.010s
    sys  0m0.018s

For some reason this machine is still on 21. Anyway, the overhead of the JVM itself is pretty low.

For small tools it's fine:

    $ echo 'class Dig { public static void main(String[] args) throws Exception { var addr = java.net.InetAddress.getByName(args[0]); System.out.println(addr); } }' >Dig.java
    $ javac Dig.java
    $ time java -cp . Dig news.ycombinator.com
    news.ycombinator.com/209.216.230.207
    
    real 0m0.047s
    user 0m0.026s
    sys  0m0.021s

    $ time host news.ycombinator.com
    news.ycombinator.com has address 209.216.230.207
    news.ycombinator.com has IPv6 address 2606:7100:1:67::26
    
    real 0m0.052s
    user 0m0.005s
    sys  0m0.004s

Java startup gets slow when you use some massive framework like Spring. If you need a program to start fast, don't use one!

Won't address start up time since it's so affected by which libraries you pull. Slow starts are usually related to dependency injection frameworks like Spring or Guice, which admittedly is what most nontrivial projects will tend to use.

Performance depends a lot on how you write the code. Inefficient Java code is often quite slow, but you can get surprisingly close to C++ speeds with Java in many cases, but that involves a lot of byzantine rules of how to write code so that it e.g. omits bounds checks. More realistically if you don't pay any attention you're probably running at like a 25-50% speed penalty.

Java has a leg up on statically compiled languages in that it does automatic PGO based on real run-time data which helps bridge the gap to a surprising degree. GC is also a lot more resistant to memory fragmentation from repeated small allocations than malloc, which can help as well, not just from its generational approach but also e.g. TLAB space.

It's a bit held back by not having decent access to SIMD intrinsics. Maybe will resolve itself when the Vector API gets finished baking eventually.

I'm using JDK 21 (old) and the startup time is sub-second for small programs.

There's ongoing work to improve JVM startup time. [1]

So long as you are willing to do a training run, you can get pretty decent startup times.

[1] https://openjdk.org/projects/leyden/

Sorry if it is trivial but bc you asked shell command and if meant the "java script.java" no compile way: even that is fast, but if you run in a shell script loop thousand times, then do not forget to compile.

We use it at scale in different systems. We are moving away from it in our serverless functions due to the cold start times. Other, less latency sensitive services are OK.

For 20+ years already, most commercial JDKs have had AOT support, long before GraalVM and Open J9 became open source.

Startup time depends on whether you are using Spring heavily or not. I wouldn’t use it as a shell script replacement. Use Python to that end.

JIT + hotspot optimization makes JVM pretty fast, but warmup time is usually the problem. However it does look like they’re addressing startup time with improvements in this release:

- AOT compilation: https://openjdk.org/jeps/544 - ~100ms startup for ZGC: https://openjdk.org/jeps/545

Every time I try, I keep going back to .NET, which has been optimising for faster startup time.

Almost all Java benchmarks are for the "steady state" after half an hour of warm up time.

Very fast. And yes, it can be used for small apps too. With java problem now is not the performance but how verbose still it is. However, it's much better since Java 17 and each release make it even more compact and direct. Like in this release we got much better built-in support for JSON.