I have a Java project that needs a lot of memory to run. When I change the flags here:
It works fine, however I still need a bigger Heap size but whenever I choose a bigger size like 2g or something like that it always shows the following message:
Am I doing something wrong? And what can I do to correct this issue, I looked everywhere but can't seem to find a solution and I really need this for an assignment that is to be due sooner than I hoped...
EDIT: I should add that my computer has 8GB ram so that shouldn't be the issue and I'm working on Windows 10 if that matters.
EDIT1: When I click on help->about I get this window:
How can I conclude from here if my jvm is 32 or 64 bit?
How can I conclude from here if my jvm is 32 or 64 bit?
You are using a 32bit JVM.
A 64bit JVM includes that information in the version string, e.g.:
1.8.0_92; Java HotSpot(TM) 64-Bit Server VM 25.92-b14
A 32bit process is restricted to 2GB of memory and with Java you usually can't usually use more then about 1.2GB. I think this depends on the Windows version and configuration.
So just remove the 32bit JDK and install the 64bit one, then you can use all the 8GB that your computer has.
I'm not from Java background, but I need to work with an application that gives this very common out of memory error. I followed the steps in this link http://www.wikihow.com/Increase-Java-Memory-in-Windows-7 but instead of -Xms, I've used -Xmx to set only the max allocation rather than the initial allocation.
However, this affected other Java apps negatively. They simply don't start for no obvious reason.
I say other apps shouldn't be affected as long as they don't reach the limit and I know they can never reach the limit I set.
So, why are they affected?
Probably the execution of your first JVM has left your PC without enough physical memory for another one.
Multiple applications may use the same JVM (the one you change the allocation). If your others java applications have their own parameters for space allocation, then you might overwrite them by doing this, and thus, prevent them from starting (because they don't have enough, or too much, or not what they need).
You might want to try to set those parameter only for the application you need. You'll have to test with command line "java" to start your app, and set the parameters as command lines parameters.
If you have installed a 32bit JDK use this VM memory args:
-Xmx1024m -XX:MaxPermSize=256m
otherwise use this:
-Xmx2048m -XX:MaxPermSize=512m
It works for me for all Apps (Project) that generated permgen error space
On my multicore machine, Eclipse uses between 100 and 250 % CPU power, even when idling on a new plain install and an empty workspace. When actually doing things, it becomes slow and unresponsive.
I have tried setting the memory settings as suggested here: Eclipse uses 100 % CPU randomly . That did not help. I also tried different Java versions, namely OpenJDK and Oracle Java 7, and Eclipse versions Juno and Indigo. I am on Ubuntu 12.04 LTS.
As another maybe unrelated issue when I close Eclipse the Java process still stays open with over 200% cpu usage and needs to be killed manually.
I was having the same problem today, and it turned out to be an indexing thread that was occupying the CPU. I had recently added quite a bit of files to a project and had forgotten about it. I realize it's not likely that anyone else has this problem, but it might be useful to post how I investigated it.
I'm running Ubuntu 12.10 with STS based on eclipse Juno.
Start eclipse from the command line and redirect output to a file so we can get a thread dump
Allow it to settle for a bit, then get a listing of the cpu usage for each thread: ps -mo 'pid lwp stime time pcpu' -C java. Here's a sample of the output that identified my cpu-hungry thread:
PID LWP STIME TIME %CPU
6974 - 07:42 00:15:51 133
7067 07:42 00:09:49 **86.1**
Convert the thread id (in my case 7067) to hex 0x1b9b (e.g. in the command line using: printf "0x%x\n" 7067)
Do a thread dump of the java process using kill -3, as in: kill -3 6974. The output is saved in the file you redirected stdout when you started eclipse
Open the file and look for the hex id of the thread:
"Link Indexer Delayed Write-10" prio=10 tid=0x00007f66b801a800 nid=**0x1b9b** runnable [0x00007f66a9e46000]
java.lang.Thread.State: RUNNABLE
at com.ibm.etools.references.internal.bplustree.db.ExtentManager$WriteBack.r
I've seen such behaviour only when the garbage collector went crazy because the allocated memory really reached the configured maximum memory limits of the VM. If you have a large Eclipse installation, your first step should always be to increase the memory settings in the eclipse.ini.
Please also activate Window -> Preferences -> General -> Show heap status. It will show you how much memory Eclipse currently uses (in the status line). If that goes up to the allowed maximum and doesn't drop anymore (i.e. the garbage collector cannot clean up unused objects), then that is exactly the indication for what I described above.
Edit: It would also be good to know what Eclipse package you use, as those contain different plugins by default. Classic, Modeling, Java EE developers,...?
I've had this problem with plugins, but never with Eclipse itself.
You can try to debug it by going to Help > About Eclipse > Installation details and disabling the plugins one by one.
Uninstalling mylyn plugins fixed the issue for me and the performance boost was so drastic that I am posting it as answer to a 6 year old question.
Go to Help->About Eclipse->Installation Details->Installed Software
and uninstall all plugins that you know you are not using. I uninstalled only mylyn plugins and it did the wonder for me.
EDIT:
In the eclipse version : 2018-09 (4.9.0), the eclipse freeze/unresponsive issue can be solved by - closing the package & project explorer.
I know this may sound like a dumb solution, but I have tested this on about 5 peer machines, multiple times and believe me when I say this simple solution removed the freeze issue in each of them. As long as package/project explorer was not reopened, none of them complained about unresponsive eclipse.
Problem: Eclipse and the Eclipse indexer take up all my resources / CPU%
Tested in Eclipse IDE for C/C++ Developers Version: 2022-09 (4.25.0) on Linux Ubuntu 18.04.
Quick summary
Solution: decrease the max number of threads Eclipse can use, down to 1/2 as many as your computer has. So, if your computer has 8 physical "cores" (actually: hyperthreads), then decrease the max number of threads that Eclipse can use to 4, or <= half of your number of cores for your system, as follows:
In $HOME/eclipse/cpp-2022-09/eclipse/eclipse.ini on Linux Ubuntu, or equivalent for your OS, make this change (reducing from 10 threads max, to 4, in my case):
Change from:
-Declipse.p2.max.threads=10
to:
-Declipse.p2.max.threads=4
Restart Eclipse.
Now, Eclipse can only take up to 4 of my 8 hyperthreads, and my system runs much better!
If on Linux, you should also reduce your "swappiness" setting to improve system performance. See below.
Details and additional improvements to make
I noticed a huge improvement in my ability to use my computer while Eclipse was indexing projects once I made this change. Eclipse used to make my computer almost totally unusable for hours or days at a time, before, as it indexes my huge repos--many GiB.
You should also give Eclipse more RAM, if needed. In that same eclipse.ini file mentioned above, the -Xms setting sets the starting RAM given to Eclipse's Java runtime environment, and the -Xmx setting sets the max RAM given to it. For indexing large projects, ensure it has a large enough max RAM to successfully index the project. The defaults, if I remember correctly, are:
-Xms256m
-Xmx2048m
...which means: starting RAM given to the Eclipse Java runtime environment is 256 MiB, and max it is allowed to grow to if needed is 2048 MiB.
I have 32 GiB of RAM and 64 GiB of swap space, and my indexer was stalling if I gave Eclipse < 12 GiB of max RAM, so I set my settings as follows to start Eclipse with 1 GiB (1024 MiB) of RAM, and allow it up to 12 GiB (12288 MiB) of RAM:
-Xms1024m
-Xmx12288m
So, my total changes were from:
-Declipse.p2.max.threads=10
-Xms256m
-Xmx2048m
...to:
-Declipse.p2.max.threads=4
-Xms1024m
-Xmx12288m
Here is my final /home/gabriel/eclipse/cpp-2022-09/eclipse/eclipse.ini file, with those changes in-place:
-startup
plugins/org.eclipse.equinox.launcher_1.6.400.v20210924-0641.jar
--launcher.library
/home/gabriel/.p2/pool/plugins/org.eclipse.equinox.launcher.gtk.linux.x86_64_1.2.600.v20220720-1916
-product
org.eclipse.epp.package.cpp.product
-showsplash
/home/gabriel/.p2/pool/plugins/org.eclipse.epp.package.common_4.25.0.20220908-1200
--launcher.defaultAction
openFile
--launcher.appendVmargs
-vm
/home/gabriel/.p2/pool/plugins/org.eclipse.justj.openjdk.hotspot.jre.full.linux.x86_64_19.0.1.v20221102-1007/jre/bin
-vmargs
--add-opens=java.base/java.io=ALL-UNNAMED
--add-opens=java.base/sun.nio.ch=ALL-UNNAMED
--add-opens=java.base/java.net=ALL-UNNAMED
--add-opens=java.base/sun.security.ssl=ALL-UNNAMED
-Dosgi.requiredJavaVersion=17
-Dosgi.instance.area.default=#user.home/eclipse-workspace
-Dsun.java.command=Eclipse
-XX:+UseG1GC
-XX:+UseStringDeduplication
--add-modules=ALL-SYSTEM
-Dosgi.requiredJavaVersion=11
-Dosgi.dataAreaRequiresExplicitInit=true
-Dorg.eclipse.swt.graphics.Resource.reportNonDisposed=true
-Xms1024m
-Xmx12288m
--add-modules=ALL-SYSTEM
-Declipse.p2.max.threads=4
-Doomph.update.url=https://download.eclipse.org/oomph/updates/milestone/latest
-Doomph.redirection.index.redirection=index:/->http://git.eclipse.org/c/oomph/org.eclipse.oomph.git/plain/setups/
--add-opens=java.base/java.lang=ALL-UNNAMED
-Djava.security.manager=allow
How to see how many "cores" (again, actually: hyperthreads) you have on your hardware
On Linux Ubuntu, simply open the "System Monitor" app. Count the cores. You can see here I have 8:
How many threads should I give Eclipse?
A good starting point is to give Eclipse half of your total cores, to keep it from bogging down your system all the time while indexing and refreshing large projects. So, I have 8 cores (hyperthreads), so I should give Eclipse 4 of them by setting -Declipse.p2.max.threads=4 in the .ini file.
This may sound counter-intuitive, but the larger your project and the weaker your computer, the fewer threads you should give Eclipse! This is because the larger your project and the weaker your computer, the more your computer will get bogged down using things like your Chrome web browser. So, to keep Eclipse from sucking up all your resources and freezing your computer, limit the number of threads it can have even more. If I find Eclipse to be bogging down my computer again, I'll reduce its threads to 2 or 3 max instead of 4. I previously gave it 7 of my 8 threads, and it was horrible! My computer ran so stinking slow and I could never use things like Chrome or Slack properly!
How much max RAM (-Xmx) should I give Eclipse?
The starting setting of -Xmx2048m (2048 MiB, or 2 GiB) is fine for most users. It handles most normal projects you'll encounter.
Perhaps as few as -Xmx512m (512 MiB, or 0.5 GiB) or so can index the entire Arduino AVR (8-bit mcu) source code just fine
I need at least -Xmx12288m (12288 MiB, or 12 GiB) for my large mono-repo.
You might need a whopping 32 GiB ~ 64 giB (-Xmx32768m to -Xmx65536m) to index the entire C++ Boost library, which is totally nuts. So, in most cases, exclude the Boost library from your indexer. I mention that in my Google document linked-to below.
The rule-of-thumb is to increase your -Xmx setting a bit whenever you see your indexer struggling or stalled, and Eclipse's usage of the available RAM is continually maxed-out. Here is a screenshot at the bottom of my Eclipse window showing that Eclipse is currently using 8456 MiB of the available 12288 MiB which it has currently allocated on the heap:
Zoomed-in view:
If it was rapidly increasing to the max often and staying there frequently, I'd need to increase my -Xmx setting further, to let Eclipse further grow the heap.
To turn on showing the heap status at the bottom of the Eclipse window (if it isn’t already on by default):
Window → Preferences → General → check the box for "Show heap status" → click "Apply and Close".
NB: When Eclipse first starts, the memory usage indicator will show the right-number in the above heap usage as being equal to your starting heap allocation, which is defined by the -Xms number. As Eclipse needs more memory, it will allocate more, growing that right number up to the -Xmx value you've defined. Again, if your indexer stalls or freezes because it's out of RAM, increase that -Xmx number to allow Eclipse's indexer to use more heap memory (RAM).
What other options can I pass to Eclipse's underlying Java virtual machine (JVM)?
Eclipse's article, FAQ How do I increase the heap size available to Eclipse?, states (emphasis added):
Some JVMs put restrictions on the total amount of memory available on the heap. If you are getting OutOfMemoryErrors while running Eclipse, the VM can be told to let the heap grow to a larger amount by passing the -vmargs command to the Eclipse launcher. For example, the following command would run Eclipse with a heap size of 2048MB:
eclipse [normal arguments] -vmargs -Xmx2048m [more VM args]
The arguments after -vmargs are directly passed to the VM. Run java -X for the list of options your VM accepts. Options starting with -X are implementation-specific and may not be applicable to all VMs.
You can also put the extra options in eclipse.ini.
So, as it says, run this:
java -X
...for a list of all possible arguments you can pass to the underlying Java virtual machine (JVM). Here are the descriptions from that output for -Xms and -Xmx:
-Xms<size> set initial Java heap size
-Xmx<size> set maximum Java heap size
(For Linux users) reduce your system's "swappiness"
If on Linux, you should also reduce your "swappiness" setting from the default of 60 down to the range of 0 to 10 (I prefer 0) to increase your system's performance and reduce lagging and freezing when you get above about 75% RAM usage.
"Swappiness" describes how likely your system is to move the contents of RAM to your "swap space", or virtual memory, which is on your hard disk drive (HDD) or solid state drive (SSD). Swappiness setting values range from 0 to 200 (see my answer quoting the Linux kernel source code here), where 0 means it will try not to use your swap space until it has to, and 200 means it will favor using your swap space earlier.
The benefit of virtual memory, or swap space, is that it can expand your computer's "RAM-like" memory for free practically, allowing you to run a program or do a heavy task like compiling a large application. Such a heavy process might want 64 GiB of RAM even if you only have 8 GiB of RAM. Normally, your computer would crash and couldn't do it, but with swap space it can, as it treats your swap file or partition like extra RAM. That's pretty amazing. The downside of swap memory, however, is that it's much slower than RAM, even when it is running on a high-speed m.2 SSD.
So, to limit swapping and improve performance, just reduce your swappiness to 0. Follow my instructions here: How do I configure swappiness?.
I mentioned and described how decreasing my system's swappiness from 60 to 0 really improved my performance and decreased periodic freezing in these two places here:
https://github.com/ElectricRCAircraftGuy/bug_reports/issues/3#issuecomment-1347864603
Unix & Linux: what is the different between settings swappiness to 0 to swapoff
As an alternative, if you have >= 64 GB of RAM (since that's a large enough amount for me to reasonably consider doing this), you may consider disabling all swap space entirely, and just running on RAM. On my bigger machines with that much RAM, that's what I've done.
References:
My Google document: Eclipse setup instructions on a new Linux (or other OS) computer
"Troubleshooting" section of that doc
My answer: java.lang.OutOfMemoryError when running bazel build
My answer: Ask Ubuntu: How do I increase the size of swapfile without removing it in the terminal?
I cross-linked back to here from my short answer: Eclipse uses 100 % CPU randomly and on Super User here: High CPU usage and very slow performance with Eclipse
How to view memory usage in eclipse (beginner)
I also put this info. in my Google document linked-to above.
https://wiki.eclipse.org/FAQ_How_do_I_increase_the_heap_size_available_to_Eclipse%3F
My answer: How do I configure swappiness?
Java multi thread garbage collector is a garbage.
add -XX:-UseLoopPredicate option to java command line.
See e.g. the bug https://bugzilla.redhat.com/show_bug.cgi?id=882968
Was facing the same issue, Passed following VM Argument in eclipse and it worked fine for me.
-Xmx1300m
-XX:PermSize=256m
-XX:MaxPermSize=256m
Recently I've been getting the notorious error message: OutOfMemoryError. I've a 64Bit Mac with 16GB Ram and 2X2.6 GH quad core. Getting this error message simply doesn't make sense to me because the same algoritm that I'm running (that causes this error message) is running smoothly on another machine (ubuntu 16GB Ram).
System.out.println(java.lang.Runtime.getRuntime().maxMemory());
When I run the above code on my mac I get: 129,957,888 (without the comma of course :-))
And when running this code on the ubuntu machine I get: 1,856,700,416
Can anyone tell me how I can increase my max memory in order to run my algorithm? Thanks!
I tried to set on my eclipse: default VM arguments -Xms512m -Xmx4g, but nothing changed.
-Xmx and -Xms are the correct arguments to the java command to change heap size, but Eclipse has to be configured differently.
You're going to have to elaborate. Are you running a test in Eclipse, or outside of Eclipse? Just passing the "-Xmx" parameter to Eclipse won't do what you want, even if you do it in the correct way to actually change the max mem value for Eclipse (that requires prefixing it with "-vmargs"). If you want to change the max mem value for the forked JVM that's running your algorithm, you have to change the parameters in the run configuration.
It looks like matt b has this one covered. I just wanted to mention that you might not want to set the max heap size as high as 4GB unless your program will really need that much. From what I understand the JVM allocates all of that memory for itself when it starts, and then uses it to run code as needed. Making it allocate that much memory might cause performance problems with other applications you're running. Instead, try stepping it up in increments of 128MB, or more if your code takes a long time to fail. Alternatively, maybe you can use a memory profiler to see how much space you actually use? I have no idea if such a thing exists.
This is probably not a problem on your setup, but for mere mortals like me, blithely allocating that much memory could be problematic.
IBM JRE 5.0 on Windows, when given -Xmx1536m on a laptop with 2GB memory, refuses to start up: error message below. With -Xmx1000m it does start.
Also, it starts fine with -Xmx1536m on other servers and even laptops, so I think that there is something more than just inadequate memory.
Also, when started from within Eclipse (albeit, using the JRE in the IBM 5 JDK in this case) with the same memory parameter, it runs fine.
Any idea what is going on here?
JVMJ9VM015W Initialization error for library j9gc23(2): Failed to instantiate heap. 1536M requested
Could not create the Java virtual machine
Edit:
Does anyone know about the "3GB switch" and if it is relevant here (beyond the obvious fact that approximately that this is a memory limitations problem). How can I tell if it is enabled and what is the most straightforward way to turnit on?
According to IBM DeveloperWorks:
Cause
The system does not have the necessary resources to satisfy the
maximum default heap value required to
run the JVM.
To resolve, here is what it says
Resolving the problem
If you receive
this error message when starting the
JVM, free
memory by stopping other applications
that might be consuming system
resources.
Your JVM doesn't have enough memory resources to create maximum amount of heap space of 1536 MB. Just make sure that you have enough memory to accommodate it.
Also, I believe that in Windows, the maximum heap space is 1000MB? I'm not sure if that's solid, but in Linux/AIX, any Xmx more than 1GB works fine.
The JVM requires that it be able to allocate its memory as a single contiguous block. If you are on a 32-bit system, the maximum available is about 1280M more or less. To get more you must run a 64-bit JVM on a 64-bit OS.
You may be able to get a little more by starting the JVM immediately after rebooting.
As to starting OK on other systems, are those 32 or 64-bit?
Pretty much the maximum you are guaranteed to get on a Windows platform is 1450 MB. Sometimes Windows/Java.exe maps DLLS to addresses in the 1.5-2.0GB range. This doesn't change even if you use the /3GB trick (or you have an OS that supports it). You have to manually rebase the DLLs to get them higher towards the 2GB (or 3GB boundary). It's a real pain in the ass, and I've done it before, but the best I've ever been able to get with and without a combination of /3GB is 1.8G on 32bit Windows.
Best to be done with it and migrate to a 64-bit OS. They're prevalent now-a-days.
I have the same issue in IBM Engineering lifecycle installation:-
Problem:- JVMJ9VM015W Initialization error for library j9gc26(2): Failed to instantiate heap; Could not create the Java virtual machine.
Solution:- I just did it and solve my issue. If you don't have 16GB ram then please don't change the jazz server startup file. If you have 8GB ram then Only do not increase memory size in the server.:
**set JAVA_OPTS=%JAVA_OPTS% -Xmx4G**
**set JAVA_OPTS=%JAVA_OPTS% -Xms4G**
**set JAVA_OPTS=%JAVA_OPTS% -Xmn1G**