Dec 29, 2011

On The Trail of a JVM Bug

I recently had the opportunity to track a bug past my application code into the JVM and beyond. I learned a few things along the way.

I found a bug in an application I was working on that I narrowed down to a concurrency issue. Threads were deadlocked somewhere. I couldn’t figure it out in the application so I wrote the most minimal app I could that reproduced the problem. Here’s that code (I removed various System.out… calls for brevity):

public class Foo {

	private int counter;

	public static void main(String[] args) throws Exception {
		 new Foo().run();

	public void run() throws Exception {

		Thread[] threads = new Thread[2];

		for (int i = 0; i < threads.length; i++) {
			threads[i] = new Thread() {
				public void run() {
					for (int i = 0; i < 1000000000; i++) {

		for (Thread t : threads) {

		for (Thread t : threads) {

	private synchronized void increment() {

The code above deadlocks both created threads in the counting loop; zero CPU usage. I didn’t see any reason that should happen so I sent the code sample to some coworkers. They didn’t see a problem either. At this point I started trying to isolate environmental issues. I was running this hardware, OS, and JVM:

        MacBook Pro
        2.3GHz Intel Core i7
        8GB 1333MHz DDR3

        OS X 10.6.8 with 64 bit enabled

        Java version 1.6.0_29
        Java(TM) SE Runtime Environment (build 1.6.0_29-b11-402-10M3527)
        Java HotSpot(TM) 64-Bit Server VM (build 20.4-b02-402, mixed mode)

The deadlock didn’t happen if I used a Lock instead of a synchronized method. It also didn’t happen if I ran the JVM in 32 bit mode, only in 64 bit mode.

I started considering the possibility of a JVM issue. That’s not a conclusion to jump to lightly so I sent the problem to a prominent Java expert who in turn involved two others. I haven’t their permission to give their names. One of them was able to reproduce the issue running similar hardware.

Next we tried running on 2 other JVMs: openjdk version 1.7.0-ea and soylatte java version 1.6.0_03-p3. There was no deadlock on either of these JVMs. It was starting to look a lot like a JVM problem.

Once we determined it wasn’t a problem with the application code we ran the app until it deadlocked then forced a core dump. To force a core dump from the command line:

  1. ulimit -c unlimited – set this to allow core dumps
  2. kill -SIGSEGV pid – send a segmentation fault signal to force the app to crash

The core file is saved in /cores/ There is also a *.crash file saved in [user home]/Library/Logs/DiagnosticReports.

The crash file analysis showed this info for the 2 threads:

Thread 24:  Java: Thread-1
0   libSystem.B.dylib             0x00007fff89f88d7a mach_msg_trap + 10
1   libSystem.B.dylib             0x00007fff89f893ed mach_msg + 59
2   libclient64.dylib             0x000000010100d903 jio_snprintf + 37641

Thread 25:  Java: Thread-2
0   libSystem.B.dylib             0x00007fff89f88d7a mach_msg_trap + 10
1   libSystem.B.dylib             0x00007fff89f893ed mach_msg + 59
2   libclient64.dylib             0x000000010100db03 jio_snprintf + 38153

They are both waiting on a message from the kernel. It appears to be an issue with the kernel not delivering the message instead of a JVM problem but we aren’t ready to declare any definite answer yet. The next step is the core dump analysis. Wherever this leads or whether we definitively identify the problem, its been an interesting experience.

About the Author

Object Partners profile.

One thought on “On The Trail of a JVM Bug

  1. KIrk says:

    It’s been my experience that sometimes, with non-Java applications, I had things lock up in what appears to be a missed message. You might want to send this to Apple I’m sure the the Mac-Port guys would be very interested in it. (

Leave a Reply

Your email address will not be published. Required fields are marked *

Related Blog Posts
Performance Test Liquibase Update
When doing a liquibase update to a database if you’re having performance issues, it can be hard to find out which updates are causing problems. If you need to measure the time to apply each […]
TICK Stack Monitoring for the Non-Technical
TICK – Telegraf, Influx, Chronograf, and Kapacitor – is a method of monitoring your systems and applications. In this article, I discuss in non-technical terms what the difference is between TICK and Prometheus Grafana A […]
Design Systems, Part 1 • Introduction
Business leaders need a practical guide to plan and execute Design System Initiatives. The aim of this series is to be that guide. This installment introduces terms and definitions as a primer on Design Systems.
ML for Translating Dysarthria Speech (Pre-Part 1)
What is Dysarthria? Per the Mayo Clinic, Dysarthria occurs when the muscles you use for speech are weak or you have difficulty controlling them. Dysarthria often causes slurred or slow speech that can be difficult […]