I have ran nohup java -jar sample.jar & on my linux server as a backend service of web application but service is automatically killed after few hours and need to re-run the command.
I want to know what is the reason and how to resolve the issue
On Linux, one possibility is that it is the oomkiller process. This watches for processes that appears to be triggering excessive paging activity, and sends them a SIGKILL signal. The oom killer's purpose is to prevent the paging system from thrashing ... which can bring the entire system to its knees.
If it is the oom killer killing your Java app, you should see a log message in /var/log/messages or /var/log/syslog.
The solution may be as simple as reducing the Java app's heap size so that it all fits in the available physical memory. Alternatively, if your Java app's heap usage is growing all of the time, you may need to look for a possible memory leak in your app. (Search for articles on finding Java memory leaks ...)
I run Spring Boot via the same command and only a handful of times have I seen this behavior. It turned out that the JVM ran out of memory and it crashed. When I changed the heap size settings it was rock solid again.
Related
How to troubleshoot/Optimize CPU usage in a Springboot application. Are the allocated resources sufficient for an application having a total of around a 300k user base? The application isn't heavy at all. It just calls third-party APIs and do the necessary checks and gives the response.
How to identify exact codes that could have been using more resources than normally required? I found out somewhere that tracking the processes id from top command and reaching to thread dump and looking up for the corresponding hexadecimal value of processid that could have been using more CPU is one way to figure out. This wasn't easily achievable as some of the commands suggested didn't work. I would appreciate any help or suggestions.
Thanks in advance.
Htop command output
Htop when it's normal
The process of Collection of Thread Stack is no different for a spring boot app. Before a boot app is containerized it is still a Jar. If you suspect that its your application that is actually contributing to the high CPUT then run your jar and attach a profiler to it and trace the code contributing to the high CPU on load. If you can not do it then take the thread dump of the running jar/java process and use any free or opensource tool to analyze the trace. The second logic explained is applicable for the containerized application as well.
Follow this steps to take the thread dump of a java app/boot app running inside a docker container :-
docker exec -it <containerName> jstack > someFile.txt
Take multiple snapshot of it for better visiblity and comparision.
If you have not added JMX enable options to the JVM commandline, do it to begin with:
-Dcom.sun.management.jmxremote
-Dcom.sun.management.jmxremote.port=10000
-Dcom.sun.management.jmxremote.rmi.port=10000
-Dcom.sun.management.jmxremote.local.only=false
-Dcom.sun.management.jmxremote.authenticate=false
-Dcom.sun.management.jmxremote.ssl=false
Then on your local machine you start "jmc" from your JDK bin folder and connect to your spring boot server.
You will then be able to see all the threads and enable both CPU load and thread locks on all active threads.
Be aware though that the above opens up JVM for unauthenticated entry so keep the port safe.
Next if your JVM dies send a "kill -3" SIGHUP which will tell the JVM to dump the core. that can then be read via the Eclipse MAT plugin in order to analyze the JVM inner doings.
Another way is to install jolokia into your server for other ways to retrieve the same info.
Since moving to Tomcat8/Java8, now and then the Tomcat server is OOM-killed. OOM = Out-of-memory kill by the Linux kernel.
How can I prevent the Tomcat server be OOM-killed?
Can this be the result of a memory leak? I guess I would get a normal Out-of-memory message, but no OOM-kill. Correct?
Should I change settings in the HEAP size?
Should I change settings for the MetaSpace size?
Knowing which Tomcat process is killed, how to retrieve info so that I can reconfigure the Tomcat server?
Firstly check that the oomkill isn't being triggered by another process in the system, or that the server isn't overloaded with other processes. It could be that Tomcat is being unfairly targeted by oomkill when some other greedy process is the culprit.
Heap should be set as a maximum size (-Xmx) to be smaller than the physical RAM on the server. If it is more than this, then paging will cause desperately poor performance when garbage collecting.
If it's caused by the metaspace growing in an unbounded fashion, then you need to find out why that is happening. Simply setting the maximum size of metaspace will cause an outofmemory error once you reach the limit you've set. And raising the limit will be pointless, because eventually you'll hit any higher limit you set.
Run your application and before it crashes (not easy of course but you'll need to judge it), kill -3 the tomcat process. Then analyse the heap and try to find out why metaspace is growing big. It's usually caused by dynamically loading classes. Is this something your application is doing? More likely, it's some framework doing this. (Nb oom killer will kill -9 the tomcat process, and you won't be able to diagnostics after that, so you need to let the app run and intervene before this happens).
Check out also this question - there's an intriguing answer which claims an obscure fix to an XML binding setting cleared the problem (highly questionable but may be worth a try) java8 "java.lang.OutOfMemoryError: Metaspace"
Another very good solution is transforming your application to a Spring Boot JAR (Docker) application. Normally this application has a lot less memory consumption.
So steps the get huge improvements (if you can move to Spring Boot application):
Migrate to Spring Boot application. In my case, this took 3 simple actions.
Use a light-weight base image. See below.
VERY IMPORTANT - use the Java memory balancing options. See the last line of the Dockerfile below. This reduced my running container RAM usage from over 650MB to ONLY 240MB. Running smoothly. So, SAVING over 400MB on 650MB!!
This is my Dockerfile:
FROM openjdk:8-jdk-alpine
ENV JAVA_APP_JAR your.jar
ENV AB_OFF true
EXPOSE 8080
ADD target/$JAVA_APP_JAR /deployments/
CMD ["java","-XX:+UnlockExperimentalVMOptions", "-XX:+UseCGroupMemoryLimitForHeap", "-jar","/deployments/your.jar"]
I am running Tomcat-6.0.32 on the RHEL 5.4 with JDK-1.6.0_23 version. I am running almost more than 15 applications. Applications are small applications only. My RAM is 8GB and swap is 12GB. I set the heap size from 512Mb to 4GB.
The issue is after a few hours or days of running, the tomcat is not providing service though it is up and running. While I could see the catalina.out log file, it is showing memory leak problem.
Now, my concern is I need to show a solution to that issue or at least I need to highlight the application which is causing the memory leaks.
Could anyone explain how I can discover which application is causing the memory leak issue?
One option is to use heap dumps (see How to get a thread and heap dump of a Java process on Windows that's not running in a console) and analyze heap dump later on.
Or another option is to analyse process directly using tools like jmap, VisualVM and similar.
You may use the combination of jmap/jhat tools (Both these are unsupported as of Java 8) to gather the heap dump (using mmap) and identify the top objects in heap (using jhat). Try to co-relate these objects with the application and identify the rogue one.
I'm having problems with jetty crashing intermittently, I'm using Jetty 6.1.24.
I'm running a neo4j Spring MVC webapp, Jetty will stay running for approx 1 hour and then I have to restart Jetty. It is running on small amazon ec2 instance, debian with 1.7gb of RAM.
I start Jetty using java -Xmx900m -server -jar start.jar
I am connecting to the server using putty, when Jetty crashes the putty session disconnects, I cannot see what error caused it to crash.
I would like to be able to see if it is an error generated by Spring, I'm not sure how to log the output from the spring app with Jetty. Or if it is Jetty or a memory issue, what would be the best way to monitor Jetty? I cannot recreate this on my local machine running windows. What do you think would be the best way to approach this? Thanks
This isn't really a programmer question; perhaps it'll be moved over to ServerFault.
You didn't specifically state which operating system you're using, but I'm hazarding a guess at some Linux distribution. You have two options of figuring out what's wrong:
Start your session in screen. Screen will live for as long as the actual machine is powered on, until you reboot the operating system (or you exit screen).
you start screen like this
screen
and you get a new prompt where you can start your program (cd foo, jetty, etc). When you're happy and you just need to go somewhere, you can disconnect the screen by hitting CTRL+A and then CTRL+D. you'll drop back to the place you were before you invoked screen.
To get back to seeing the screen you type screen -R which means to resume an existing screen. you should see jetty again.
The nice thing is that if you lose connection (or you close putty by accident or whatever) then you can use screen -list to get a list of running screens, and then forcibly detach them -D and reattach them to the current putty -R, no harm done!
Use nohup. Nohup more or less detaches the process you're running from the console, so none of its output comes to the terminal. You start your program in the normal fashion, but you add the word nohup to your command.
For example:
nohup ls -l &
After ls -l is complete, your output is stored in nohup.out.
When you say crash do you mean the JVM segfaults and disappears? If that's the case I'd check and make sure you aren't exhausting the machine's available memory. Java on linux will crash when the system memory gets so low the JVM cannot allocate up to its maximum memory. For example, you've set the max JVM memory to 500MB of which it's using 250MB at the moment. However, the Linux OS only has 128MB available. This produces unstable results and the JVM will segfault.
On windows the JVM is more well behaved in this scenario and throws OutOfMemoryError when the system is running low on memory.
Validate how much system memory is available around the time of your crashes.
Verify if other processes on your box are eating up a lot of memory. Turn off anything that could be competing with the JVM.
Run jconsole and connect it to your JVM. That will tell you how memory is being used in your JVM process and give you a history to look back through when it does crash.
Eliminate any native code you might be loading into the JVM when doing this type of testing.
I believe Jetty has some native code to do high volume request processing. Make sure that's not being used. You want to isolate the crashes to Java and NOT some strange native lib. If you take out the native stuff and find it works then you have your answer as to what's causing it. If it continues to crash then it very well could be what I'm describing.
You can force the JVM to allocate all the memory at startup with -Xms900m that can make sure the JVM doesn't fight with other processes for memory. Once it has the full Xmx amount allocated it won't crash. Not a solution, but you can easily test it this way.
When you start java, redirect both outputs (stdout and stderr) to a file:
Using Bash:
java -Xmx900m -server -jar start.jar > stdout.txt 2> stderr.txt
After the crash, inspect those files.
If the crash is due to a signal (like SEGV=segmentation fault), there should be a file dump by the JVM at the location you've started java. For Sun VM (hotspot), it's something like hs_err_pid12121.log (here 12121 is the process ID).
Putty disconnecting STRONGLY hints that the server is running out of memory and starts shutting down processes left and right. It is probably your jetty instance growing too big.
The easiest thing to do now, is adding 1-2 Gb more swap space and do it again. Also note that you can use the jvisualvm to attach to the jetty instance to get runtime information directly.
I've been running Tomcat 5.5 with Java 1.4 for a while now with a huge webapp. Most of the time it runs fine, but sometimes it will just hang, with no exception generated, and no apparant way of getting it to run again other than re-starting Tomcat. The tomcat instance is allowed a gigabyte of memory on the heap, but rarely exceeds 300 MB. Has anyone else run into this issue, and is there a solution for it?
For clarification: I determined how much memory it is using via Task Manager and via Eclipse (I've also tried running it outside of Eclipse, but get the same problem eventually, though it takes a little longer). With Eclipse, I look at the memory allocated via its little (optional) memory pane and the amount allocated to javaw.exe via the task manager. I use the sysdeo? tomcat plugin for Eclipse.
For any jvm process, force a thread dump. In windows, this can be done with CTRL-BREAK, I believe, in the console window.
In *nix, it is almost always "kill -3 jvm-pid".
This may show if you have threads waiting on db connection pool/thread pool, etc.
Another thing to check out is how many connections you have currently to the JVM -- either use NETSTAT or SysInternals utility such as tcpconn/tcpview (google it).
Also, try to run with the verbose:gc JVM flag. For Sun's JVM, run like "java -verbose:gc". This will show your garbage collections. If it is collecting a lot (FULL COLLECTIONS, expecially) then you probably have a memory leak. The full collections are costly, especially on large heaps like that.
How are you determining that only 300mb are being used?
It sounds like you're hitting a deadlock.
If you can reproduce it in a dev environment then try attaching a debugger once it's happened. Take a look at your threads and see if you have any deadlocks.
If you can't get a debugger to attach you should be able to generate a thread dump, as Dustin pointed out.
Try increasing the logging sensitivity for the Tomcat application server.
http://tomcat.apache.org/tomcat-5.5-doc/logging.html
You can increase the sensitivity to FINEST or ALL for most of them for a few days and see if that helps you catch anything.
I agree with creating multiple thread dumps and viewing them though this: Thread Dump Analyzer