vm | shell scripts to bootstrap a data journalism | Continuous Deployment library

Check out this article: CentOS Linux EOL

The below commands helped me:

You are running the project via Java 1.8 and add the --add-opens option to the runner. However Java 1.8 does not support it.

So, the first option is to use Java 11 to run the project, as Java 11 can recognize this VM option.

Another solution is to find a place where --add-opens is added and remove it. Check Run configuration in IntelliJ IDEA (VM options field) and Maven/Gradle configuration files for argLine (Maven) and jvmArgs (Gradle)

It seems it can't be used with Flutter yet, as seen in:

Apple Silicon support in the Dart SDK

[...] Note that the Dart SDK bundled in the Flutter SDK doesn’t have these improvements yet.

https://medium.com/dartlang/announcing-dart-2-14-b48b9bb2fb67

[Announcing Dart 2.14][ScreenShot]: https://i.stack.imgur.com/N8Qcc.png

And:

Get the Dart SDK

[...] As of Flutter 1.21, the Flutter SDK includes the full Dart SDK. So if you have Flutter installed, you might not need to explicitly download the Dart SDK. Consider downloading the Dart SDK if any of the following are true:

• You don’t use Flutter.
• You use a pre-1.21 version of Flutter.
• You want to reduce disk space requirements or download time, and your use case doesn’t require Flutter. For example, you might have a continuous integration (CI) setup that requires Dart but not Flutter.

https://dart.dev/get-dart

[Get the Dart SDK][ScreenShot]: https://i.stack.imgur.com/rawJV.png

I have used react native 0.66 after i downgraded into 0.64, this worked for me.

1. downgrade react into 0.64.0
2. clear node cache & gradle clean
3. npm install

After a while trying to find solutions to this problem, I saw that an emulator running outside android studio provides these options. To run a standalone Android Studio emulator see the official documentation or simply enter the command:

File->Settings->Tools->Emulator, and uncheck Launch in a tool window Then they will open in their own stand alone windows again.

Those samples depend on JDK internals.

Looks like since JDK 9 and JDK-8152907, Math.log is no longer intrinsified into C2 intermediate representation. Instead, a direct call to a quick LIBM-backed stub is made. This is usually faster for the code that actually uses the result. Notice how measureCorrect is faster in JDK 17 output in your case.

But for JMH samples, it limits the the compiler optimizations around the Math.log, and dead code / folding samples do not work properly. The fix it to make samples that do not rely on JDK internals without a good reason, and instead use a custom written payload.

This is being done in JMH here:

• https://bugs.openjdk.java.net/browse/CODETOOLS-7903094
• https://github.com/openjdk/jmh/pull/60

The developers have fixed this bug in one of the recent updates.

Unfortunately (?), the easiest way to know for sure what those categories map to is to look at OpenJDK source code. The NMT tag you are looking for is mtServiceability. This would show that "serviceability" are basically diagnostic interfaces in JDK/JVM: JVMTI, heap dumps, etc.

But the same kind of thing is clear from observing that stack trace sample you are showing mentions ThreadStackTrace::dump_stack_at_safepoint -- that is something that dumps the thread information, for example for jstack, heap dump, etc. If you have a suspicion for the memory leak in that code, you might try to build a MCVE demonstrating it, and submitting the bug against OpenJDK, or showing it to a fellow OpenJDK developer. You probably know better what your application is doing to cause thread dumps, focus there.

That being said, I don't see any obvious memory leaks in StackFrameInfo, neither can I reproduce any leak with stress tests, so maybe what you are seeing is "just" thread dumping over the larger and larger thread stacks. Or you capture it when thread dump is happening. Or... It is hard to say without the MCVE.

Update: After playing with MCVE, I realized that it reproduces with 17.0.1, but not with either mainline development JDK, or JDK 18 EA, or JDK 17.0.2 EA. I tested with 17.0.2 EA before, so was not seeing it, dang. Bisection between 17.0.1 and 17.0.2 EA shows it was fixed with JDK-8273902 backport. 17.0.2 releases this week, so the bug should disappear after you upgrade.