ChatGPT解决这个技术问题 Extra ChatGPT

How to deal with "java.lang.OutOfMemoryError: Java heap space" error?

I am writing a client-side Swing application (graphical font designer) on Java 5. Recently, I am running into java.lang.OutOfMemoryError: Java heap space error because I am not being conservative on memory usage. The user can open unlimited number of files, and the program keeps the opened objects in the memory. After a quick research I found Ergonomics in the 5.0 Java Virtual Machine and others saying on Windows machine the JVM defaults max heap size as 64MB.

Given this situation, how should I deal with this constraint?

I could increase the max heap size using command line option to java, but that would require figuring out available RAM and writing some launching program or script. Besides, increasing to some finite max does not ultimately get rid of the issue.

I could rewrite some of my code to persist objects to file system frequently (using database is the same thing) to free up the memory. It could work, but it's probably a lot work too.

If you could point me to details of above ideas or some alternatives like automatic virtual memory, extending heap size dynamically, that will be great.

The default max heap size of 64 MB is from before J2SE 5.0. For J2SE 8.0 information, see "Garbage Collector Ergonomics" at docs.oracle.com/javase/8/docs/technotes/guides/vm/… .
If you landed here because every OOM question is duped to this one, make sure you also check out: stackoverflow.com/questions/299659/… It provides the solution for cleaning up memory references 'just in time' before the OOM. SoftReferences may be the tool that solves your actual problem.
The Sun/Oracle JVM has always been quite rigid about specifying the amount memory to use (and having some interesting defaults if left on its own). That was one of the nice things of the Microsoft JVM back then - it was fast and it could use whatever memory the machine had.
in my case I missed gradle.properties file to add in my project

H
Hearen

Ultimately you always have a finite max of heap to use no matter what platform you are running on. In Windows 32 bit this is around 2GB (not specifically heap but total amount of memory per process). It just happens that Java chooses to make the default smaller (presumably so that the programmer can't create programs that have runaway memory allocation without running into this problem and having to examine exactly what they are doing).

So this given there are several approaches you could take to either determine what amount of memory you need or to reduce the amount of memory you are using. One common mistake with garbage collected languages such as Java or C# is to keep around references to objects that you no longer are using, or allocating many objects when you could reuse them instead. As long as objects have a reference to them they will continue to use heap space as the garbage collector will not delete them.

In this case you can use a Java memory profiler to determine what methods in your program are allocating large number of objects and then determine if there is a way to make sure they are no longer referenced, or to not allocate them in the first place. One option which I have used in the past is "JMP" http://www.khelekore.org/jmp/.

If you determine that you are allocating these objects for a reason and you need to keep around references (depending on what you are doing this might be the case), you will just need to increase the max heap size when you start the program. However, once you do the memory profiling and understand how your objects are getting allocated you should have a better idea about how much memory you need.

In general if you can't guarantee that your program will run in some finite amount of memory (perhaps depending on input size) you will always run into this problem. Only after exhausting all of this will you need to look into caching objects out to disk etc. At this point you should have a very good reason to say "I need Xgb of memory" for something and you can't work around it by improving your algorithms or memory allocation patterns. Generally this will only usually be the case for algorithms operating on large datasets (like a database or some scientific analysis program) and then techniques like caching and memory mapped IO become useful.


OpenJDK and OracleJDK have bundled profiler - jvisualvm. If you want more conveniences I'd suggest commercial Yourkit.
Use close unused object and array, say resultsSet.close(); fileOutputStream.close(); fileOutputStream.flush(); , I use resultsSet.close() and was working magically.
H
Hearen

Run Java with the command-line option -Xmx, which sets the maximum size of the heap.

See here for details.


How to set this parameter for ever? Cause I'm using 'gradlew assemble' command.
Run->Run Configurations->Click on arguments->inside VM arguments type -Xms1g -Xmx2g
H
Hearen

You could specify per project how much heap space your project wants

Following is for Eclipse Helios/Juno/Kepler:

Right mouse click on

 Run As - Run Configuration - Arguments - Vm Arguments, 

then add this

-Xmx2048m

hi bighostkim and cuongHuyTo, where is "Arguments"..i can able to see upto Run Configuration. Please tel me. My need to download and store nearly 2000 contacts from gmail. It crash due to out of memory exception
@AndroiRaji: you right click your mouse onto the Java class that has a runnable main (that is "public static void main(String[] args)"), then choose Run As - Run Configuration. Then "Arguments" is the tab right after the Main (you see the tabs Main, Arguments, JRE, Classpath, Source, Environment, Common).
How would it be for intellih?
P
PeakGen

Increasing the heap size is not a "fix" it is a "plaster", 100% temporary. It will crash again in somewhere else. To avoid these issues, write high performance code.

Use local variables wherever possible. Make sure you select the correct object (EX: Selection between String, StringBuffer and StringBuilder) Use a good code system for your program(EX: Using static variables VS non static variables) Other stuff which could work on your code. Try to move with multy THREADING


This is so true. I am trying to fix one issue where I'm getting OOM on AWT thread but if I use different new thread, I am not getting OOM issue. All I can find online is increase heap size for AWT thread.
@Ash: Yes, fix the core problem instead of looking for plasters.
Garbage collection and the memory management approach in Java was supposed to solve all these malloc-dealloc complications of its predecessors :( Of course I completely agree with this answer it's just a shame the defaults don't make it easy to write code with lean data-structures that are cleaned up ASAP.
I do not agree. You need to set it to some value initially. If it turns out to be insufficient it does not necessarily mean that your application is bad. Maybe you were too optimistic. It is a valid solution to set it to a higher value in this case.
H
Hearen

Big caveat ---- at my office, we were finding that (on some windows machines) we could not allocate more than 512m for Java heap. This turned out to be due to the Kaspersky anti-virus product installed on some of those machines. After uninstalling that AV product, we found we could allocate at least 1.6gb, i.e, -Xmx1600m (m is mandatory other wise it will lead to another error "Too small initial heap") works.

No idea if this happens with other AV products but presumably this is happening because the AV program is reserving a small block of memory in every address space, thereby preventing a single really large allocation.


H
Hearen

I would like to add recommendations from oracle trouble shooting article.

Exception in thread thread_name: java.lang.OutOfMemoryError: Java heap space

The detail message Java heap space indicates object could not be allocated in the Java heap. This error does not necessarily imply a memory leak

Possible causes:

Simple configuration issue, where the specified heap size is insufficient for the application. Application is unintentionally holding references to objects, and this prevents the objects from being garbage collected. Excessive use of finalizers.

One other potential source of this error arises with applications that make excessive use of finalizers. If a class has a finalize method, then objects of that type do not have their space reclaimed at garbage collection time

After garbage collection, the objects are queued for finalization, which occurs at a later time. finalizers are executed by a daemon thread that services the finalization queue. If the finalizer thread cannot keep up with the finalization queue, then the Java heap could fill up and this type of OutOfMemoryError exception would be thrown.

One scenario that can cause this situation is when an application creates high-priority threads that cause the finalization queue to increase at a rate that is faster than the rate at which the finalizer thread is servicing that queue.


H
Hearen

VM arguments worked for me in eclipse. If you are using eclipse version 3.4, do the following

go to Run --> Run Configurations --> then select the project under maven build --> then select the tab "JRE" --> then enter -Xmx1024m.

Alternatively you could do Run --> Run Configurations --> select the "JRE" tab --> then enter -Xmx1024m

This should increase the memory heap for all the builds/projects. The above memory size is 1 GB. You can optimize the way you want.


H
Hearen

Yes, with -Xmx you can configure more memory for your JVM. To be sure that you don't leak or waste memory. Take a heap dump and use the Eclipse Memory Analyzer to analyze your memory consumption.


JVMJ9VM007E Command-line option unrecognised: -Xmx Could not create the Java virtual machine. Downvote
H
Hearen

Follow below steps:

Open catalina.sh from tomcat/bin. Change JAVA_OPTS to JAVA_OPTS="-Djava.awt.headless=true -Dfile.encoding=UTF-8 -server -Xms1536m -Xmx1536m -XX:NewSize=256m -XX:MaxNewSize=256m -XX:PermSize=256m -XX:MaxPermSize=256m -XX:+DisableExplicitGC" Restart your tomcat


H
Hearen

By default for development JVM uses small size and small config for other performance related features. But for production you can tune e.g. (In addition it Application Server specific config can exist) -> (If there still isn't enough memory to satisfy the request and the heap has already reached the maximum size, an OutOfMemoryError will occur)

-Xms<size>        set initial Java heap size
-Xmx<size>        set maximum Java heap size
-Xss<size>        set java thread stack size

-XX:ParallelGCThreads=8
-XX:+CMSClassUnloadingEnabled
-XX:InitiatingHeapOccupancyPercent=70
-XX:+UnlockDiagnosticVMOptions
-XX:+UseConcMarkSweepGC
-Xms512m
-Xmx8192m
-XX:MaxPermSize=256m (in java 8 optional)

For example: On linux Platform for production mode preferable settings.

After downloading and configuring server with this way http://www.ehowstuff.com/how-to-install-and-setup-apache-tomcat-8-on-centos-7-1-rhel-7/

1.create setenv.sh file on folder /opt/tomcat/bin/

   touch /opt/tomcat/bin/setenv.sh

2.Open and write this params for setting preferable mode.

nano  /opt/tomcat/bin/setenv.sh 

export CATALINA_OPTS="$CATALINA_OPTS -XX:ParallelGCThreads=8"
export CATALINA_OPTS="$CATALINA_OPTS -XX:+CMSClassUnloadingEnabled"
export CATALINA_OPTS="$CATALINA_OPTS -XX:InitiatingHeapOccupancyPercent=70"
export CATALINA_OPTS="$CATALINA_OPTS -XX:+UnlockDiagnosticVMOptions"
export CATALINA_OPTS="$CATALINA_OPTS -XX:+UseConcMarkSweepGC"
export CATALINA_OPTS="$CATALINA_OPTS -Xms512m"
export CATALINA_OPTS="$CATALINA_OPTS -Xmx8192m"
export CATALINA_OPTS="$CATALINA_OPTS -XX:MaxMetaspaceSize=256M"

3.service tomcat restart

Note that the JVM uses more memory than just the heap. For example Java methods, thread stacks and native handles are allocated in memory separate from the heap, as well as JVM internal data structures.


H
Hearen

I read somewhere else that you can try - catch java.lang.OutOfMemoryError and on the catch block, you can free all resources that you know might use a lot of memory, close connections and so forth, then do a System.gc() then re-try whatever you were going to do.

Another way is this although, i don't know whether this would work, but I am currently testing whether it will work on my application.

The Idea is to do Garbage collection by calling System.gc() which is known to increase free memory. You can keep checking this after a memory gobbling code executes.

//Mimimum acceptable free memory you think your app needs
long minRunningMemory = (1024*1024);

Runtime runtime = Runtime.getRuntime();

if(runtime.freeMemory()<minRunningMemory)
 System.gc();

In general I think the JVM will prefer to Garbage Collect (GC) rather than throw an OutOfMemoryError. Explicitly calling System.gc() after OutOfMemoryError might possibly help on some VMs/configurations, but I would not expect it to work very well in the general case. However, dropping unnecessary object references would definitely help in almost all cases.
@mwangi Calling System.gc() directly from the code is generally a bad idea. It's just a suggestion to JVM that GC should be performed, but there's absolutely no guarantee that it will be performed.
m
mtk

Easy way to solve OutOfMemoryError in java is to increase the maximum heap size by using JVM options -Xmx512M, this will immediately solve your OutOfMemoryError. This is my preferred solution when I get OutOfMemoryError in Eclipse, Maven or ANT while building project because based upon size of project you can easily ran out of Memory.

Here is an example of increasing maximum heap size of JVM, Also its better to keep -Xmx to -Xms ration either 1:1 or 1:1.5 if you are setting heap size in your java application.

export JVM_ARGS="-Xms1024m -Xmx1024m"

Reference Link


Any idea why we need to keep them in 1:1 or 1:1.5 ratio?
M
Muhammad Raqib

If you came here to search this issue from REACT NATIVE.

Then i guess you should do this

cd android/ && ./gradlew clean && cd ..

H
Hearen

I have faced same problem from java heap size.

I have two solutions if you are using java 5(1.5).

just install jdk1.6 and go to the preferences of eclipse and set the jre path of jav1 1.6 as you have installed. Check your VM argument and let it be whatever it is. just add one line below of all the arguments present in VM arguments as -Xms512m -Xmx512m -XX:MaxPermSize=...m(192m).

I think it will work...


H
Hearen

If you need to monitor your memory usage at runtime, the java.lang.management package offers MBeans that can be used to monitor the memory pools in your VM (eg, eden space, tenured generation etc), and also garbage collection behaviour.

The free heap space reported by these MBeans will vary greatly depending on GC behaviour, particularly if your application generates a lot of objects which are later GC-ed. One possible approach is to monitor the free heap space after each full-GC, which you may be able to use to make a decision on freeing up memory by persisting objects.

Ultimately, your best bet is to limit your memory retention as far as possible whilst performance remains acceptable. As a previous comment noted, memory is always limited, but your app should have a strategy for dealing with memory exhaustion.


N
Nima Ganji

In android studio add/change this line at the end of gradle.properties (Global Properties):

...
org.gradle.jvmargs=-XX\:MaxHeapSize\=1024m -Xmx1024m 

if it doesn't work you can retry with bigger than 1024 heap size.


H
Hearen

Note that if you need this in a deployment situation, consider using Java WebStart (with an "ondisk" version, not the network one - possible in Java 6u10 and later) as it allows you to specify the various arguments to the JVM in a cross platform way.

Otherwise you will need an operating system specific launcher which sets the arguments you need.


Java WebStart is being phased out. I am not yet aware of a suitable replacement.
T
Talha Akbar

Add this line to your gradle.properties file

org.gradle.jvmargs=-Xmx2048m -XX:MaxPermSize=512m -XX:+HeapDumpOnOutOfMemoryError -Dfile.encoding=UTF-8

It should work. You can change MaxPermSize accordingly to fix your heap problem


C
CodingEra

add the below code inside android/gradle.properties:

org.gradle.jvmargs=-Xmx4096m -XX:MaxPermSize=4096m -XX:+HeapDumpOnOutOfMemoryError
org.gradle.daemon=true
org.gradle.parallel=true
org.gradle.configureondemand=true

H
Hearen

Regarding to netbeans, you could set max heap size to solve the problem.

Go to 'Run', then --> 'Set Project Configuration' --> 'Customise' --> 'run' of its popped up window --> 'VM Option' --> fill in '-Xms2048m -Xmx2048m'.


M
Morteza Bandi

In my case it solved by assigning more memory to Shared build process heap size in intellij settings.

Go to intellij settings > Compiler > Shared build process heap size

https://i.stack.imgur.com/UV6Ii.png


a
aristotll

If this issue is happening in Wildfly 8 and JDK1.8,then we need to specify MaxMetaSpace settings instead of PermGen settings.

For example we need to add below configuration in setenv.sh file of wildfly. JAVA_OPTS="$JAVA_OPTS -XX:MaxMetaspaceSize=256M"

For more information, please check Wildfly Heap Issue


H
Hearen

If you keep on allocating & keeping references to object, you will fill up any amount of memory you have.

One option is to do a transparent file close & open when they switch tabs (you only keep a pointer to the file, and when the user switches tab, you close & clean all the objects... it'll make the file change slower... but...), and maybe keep only 3 or 4 files on memory.

Other thing you should do is, when the user opens a file, load it, and intercept any OutOfMemoryError, then (as it is not possible to open the file) close that file, clean its objects and warn the user that he should close unused files.

Your idea of dynamically extending virtual memory doesn't solve the issue, for the machine is limited on resources, so you should be carefull & handle memory issues (or at least, be carefull with them).

A couple of hints i've seen with memory leaks is:

--> Keep on mind that if you put something into a collection and afterwards forget about it, you still have a strong reference to it, so nullify the collection, clean it or do something with it... if not you will find a memory leak difficult to find.

--> Maybe, using collections with weak references (weakhashmap...) can help with memory issues, but you must be carefull with it, for you might find that the object you look for has been collected.

--> Another idea i've found is to develope a persistent collection that stored on database objects least used and transparently loaded. This would probably be the best approach...


i
itzo

Android Studio

File -> Invalidate Caches and Restart solved it for me :)


s
samuelru

If this error occurs right after execution of your junit tests, then you should execute Build -> Rebuild Project.


C
Chukwunazaekpere

If this error comes up during APK generation in react-native, cd into the android folder in your project and do:

./gradlew clean

then

./gradlew assembleRelease

If error persists, then, restart your machine.


N
Neeraj Singh

If you are using Android Studio just add these lines with gradle.properties file

org.gradle.jvmargs=-Xmx2048m -XX:MaxPermSize=512m -XX:+HeapDumpOnOutOfMemoryError -Dfile.encoding=UTF-8


n
nccc

If everything else fails, in addition to increasing the max heap size try also increasing the swap size. For Linux, as of now, relevant instructions can be found in https://linuxize.com/post/create-a-linux-swap-file/.

This can help if you're e.g. compiling something big in an embedded platform.


A
Antonin Dioulo

if you got this error when you launch eclipse birt 1- you will go in the file of the eclipse configuration 2- you must open eclipse.init 3- modified the RAM memory, you can increase this, i give an example.

my old information was : -Xmx128m -XX:MaxPermSize=128m

the new modification that i opered :

-Xmx512m -XX:MaxPermSize=512m

this modification will permit me to resolve java heap space when i launch my report in my browser.

Thanks


H
Haranath Boggarapu

Java OOM Heap space issue can also arise when your DB connection pool got full.

I faced this issue because of my Hikari Connection pool (when upgraded to Spring boot 2.4.*) was full and not able to provide connections anymore (all active connections are still pending to fetch results from database).

Issue is some of our native queries in JPA Repositories contain ORDER BY ?#{#pageable} which takes a very long time to get results when upgraded.

Removed ORDER BY ?#{#pageable} from all the native queries in JPA repositories and OOM heap space issue along with connection pool issue got resolved.