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Error java.lang.OutOfMemoryError: GC overhead limit exceeded

Posted by: admin November 2, 2017 Leave a comment


I get this error message as I execute my JUnit tests:

java.lang.OutOfMemoryError: GC overhead limit exceeded

I know what an OutOfMemoryError is, but what does GC overhead limit mean? How can I solve this?


This message means that for some reason the garbage collector is taking an excessive amount of time (by default 98% of all CPU time of the process) and recovers very little memory in each run (by default 2% of the heap).

This effectively means that your program stops doing any progress and is busy running only the garbage collection at all time.

To prevent your application from soaking up CPU time without getting anything done, the JVM throws this Error so that you have a chance of diagnosing the problem.

The rare cases where I’ve seen this happen is where some code was creating tons of temporary objects and tons of weakly-referenced objects in an already very memory-constrained environment.

Check out this article for details (specifically this part).


The GC throws this exception when too much time is spent in garbage collection for too little return, eg. 98% of CPU time is spent on GC and less than 2% of heap is recovered.

This feature is designed to prevent applications from running for an extended period of time while making little or no progress because the heap is too small.

You can turn this off with the command line option

More info here

EDIT: looks like someone can type faster than me 🙂


If you are sure there are no memory leaks in your program, try to:

  1. Increase the heap size, for example -Xmx1g.
  2. Enable the concurrent low pause collector -XX:+UseConcMarkSweepGC.
  3. Reuse existing objects when possible to save some memory.

If necessary, the limit check can be disabled by adding the option -XX:-UseGCOverheadLimit to the command line.


It’s usually the code. Here’s a simple example:

import java.util.*;

public class GarbageCollector {

    public static void main(String... args) {

        List<Double> list = new ArrayList<Double>();
        for (int outer = 0; outer < 10000; outer++) {

            // list = new ArrayList<Double>(10000); // BAD
            // list = new ArrayList<Double>(); // WORSE
            list.clear(); // BETTER

            for (int inner = 0; inner < 10000; inner++) {

            if (outer % 1000 == 0) {
                System.out.printf("Outer loop at %d%n", outer);


Using java 1.6.0_24-b07 On a Windows7 32 bit.

java -Xloggc:gc.log GarbageCollector

Then look at gc.log

  • Triggered 444 times using BAD method
  • Triggered 666 times using WORSE method
  • Triggered 354 times using BETTER method

Now granted, this is not the best test or the best design but when faced with a situation where you have no choice but implementing such a loop or when dealing with existing code that behaves badly, choosing to reuse objects instead of creating new ones can reduce the number of times the garbage collector gets in the way…


Just increase the heap size a little by setting this option in

Run → Run Configurations → Arguments → VM arguments

-Xms1024M -Xmx2048M

Xms – for minimum limit

Xmx – for maximum limit


Cause for the error

GC overhead limit exceeded” indicates that the garbage collector is running all the time and Java program is making very slow progress.

After a garbage collection, if the Java process is spending more than approximately 98% of its time doing garbage collection and if it is recovering less than 2% of the heap and has been doing so far the last 5 (compile time constant) consecutive garbage collections, then a java.lang.OutOfMemoryError is thrown

  1. Increase the heap size if current heap is not enough.
  2. If you still get this error after increasing heap memory, use memory profiling tools like MAT ( Memory analyzer tool), Visual VM etc and fix memory leaks.
  3. Upgrade JDK version to latest version ( 1.8.x) or at least 1.7.x and use G1GC algorithm. . The throughput goal for the G1 GC is 90 percent application time and 10 percent garbage collection time
  4. Apart from setting heap memory with –Xms1g -Xmx2g , try

    -XX:+UseG1GC -XX:G1HeapRegionSize=n -XX:MaxGCPauseMillis=m  
    -XX:ParallelGCThreads=n -XX:ConcGCThreads=n

Have a look at some more related questions regarding G1GC

Java 7 (JDK 7) garbage collection and documentation on G1

Java G1 garbage collection in production

Oracle technetwork article for GC finetuning


For me, the following steps worked:

  1. Open the eclipse.ini file
  2. Change



  3. Restart Eclipse

See here


The following worked for me. Just add the following snippet:

android {
        compileSdkVersion 25
        buildToolsVersion '25.0.1'

defaultConfig {
        applicationId "yourpackage"
        minSdkVersion 10
        targetSdkVersion 25
        versionCode 1
        versionName "1.0"
        multiDexEnabled true
dexOptions {
        javaMaxHeapSize "4g"


try this

open the build.gradle file

  android {
        dexOptions {
           javaMaxHeapSize = "4g"


increase javaMaxHeapsize in your build.gradle(Module:app) file

dexOptions {
    javaMaxHeapSize "1g"

to (Add this line in gradle)

 dexOptions {
        javaMaxHeapSize "4g"


You need to increase the memory size in Jdeveloper go to setDomainEnv.cmd.

set WLS_HOME=%WL_HOME%\server    
set XMS_SUN_64BIT=**256**
set XMS_SUN_32BIT=**256**
set XMX_SUN_64BIT=**3072**
set XMX_SUN_32BIT=**3072**
set XMS_JROCKIT_64BIT=**256**
set XMS_JROCKIT_32BIT=**256**
set XMX_JROCKIT_64BIT=**1024**
set XMX_JROCKIT_32BIT=**1024**

if "%JAVA_VENDOR%"=="Sun" (
    set WLS_MEM_ARGS_64BIT=**-Xms256m -Xmx512m**
    set WLS_MEM_ARGS_32BIT=**-Xms256m -Xmx512m**
) else (
    set WLS_MEM_ARGS_64BIT=**-Xms512m -Xmx512m**
    set WLS_MEM_ARGS_32BIT=**-Xms512m -Xmx512m**


set MEM_PERM_SIZE_64BIT=-XX:PermSize=**256m**
set MEM_PERM_SIZE_32BIT=-XX:PermSize=**256m**

if "%JAVA_USE_64BIT%"=="true" (
) else (

set MEM_MAX_PERM_SIZE_64BIT=-XX:MaxPermSize=**1024m**
set MEM_MAX_PERM_SIZE_32BIT=-XX:MaxPermSize=**1024m**


In netbeans, it may be helpful to design a max heap size. Go to ‘Run’, then go to ‘Set Project Configuration’, then select ‘Customise’, in the ‘run’ of its popped up window, go to ‘VM Option’, fill in ‘-Xms2048m -Xmx2048m’. It could solve heap size problem.