How to handle OutOfMemoryError

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In my application I have photos, videos, etc.. In the case of images, I have done scaling, but sometimes I get an OutOfMemoryError. How can I handle the error efficiently?

Check that the image size is smaller than the available memory before attempting to load it. So the most efficient way to handle OutOfMemoryException is to architecture your application in such a way that it never attempts to load lots of data into memory in order to avoid the exception.

2 solution of java.lang.OutOfMemoryError in Java, You need real experience dealing with production systems, handling a large number of user sessions to troubleshoot and fix performance issues like running out  The java.lang.OutOfMemoryError: Requested array size exceeds VM limit can appear as a result of either of the following situations: Your arrays grow too big and end up having a size between the platform limit and the Integer.MAX_INT; You deliberately try to allocate arrays larger than 2^31-1 elements to experiment with the limits.

There is a method in Activity which is called when the device is coming low of memory, but this can only be used to trigger cache files cleaning. This does not mean that your application process is coming out of memory.

You could also add a try catch block to catch Error or OutOfMemoryError, but this would be too late.

Handling large numbers of Bitmaps or large Bitmaps is really difficult in android applications. You'll find some tips on this subject in this article from Romain Guy.

You can also take care of loading bitmaps directly to the resolution you need by specifying a sample size in the BitmapFactory.options you provide to BitmapFactory.decode*() methods.

Java Exception Handling - OutOfMemoryError, A close look at the Java OutOfMemoryError, with functional code samples illustrating how to allocate memory and view active heap usage. Making our way through our detailed Java Exception Handling series, today we’ll be going over the OutOfMemoryError, which is thrown when the Java Virtual Machine (JVM) is unable to allocate an object due to lack of memory.

I have started to try this routine which loads a jpeg into an ImageView and checks for Out of Memory and re-scales until it fits.

 static public boolean tryJpegRead(ImageView imageView, File fn){
 if (!fn.exists()){ 
     Log.d("ANDRO_ASYNC",String.format("missing file %s",fn.getAbsolutePath()));
     return false;
 }
 BitmapFactory.Options o = new BitmapFactory.Options();
    for (int i = 1; i<10; i++){
        o.inSampleSize = i;
        o.inJustDecodeBounds = true;
        BitmapFactory.decodeFile(fn.getAbsolutePath(), o);
        int h = o.outHeight;
        int w = o.outWidth;
        Log.d("ANDRO_ASYNC",String.format("going in h=%d w=%d resample = %d",h,w,o.inSampleSize));
        o.inJustDecodeBounds = false;
        try{
            imageView.setImageBitmap(
                Bitmap.createScaledBitmap(
                        BitmapFactory.decodeFile(fn.getAbsolutePath(), o), 
                        w, 
                        h, 
                        true)); 
            return true; // only happens when there is no error
        }catch(OutOfMemoryError E){
            Log.d("ANDRO_ASYNC",String.format("catch Out Of Memory error"));
    //      E.printStackTrace();
            System.gc();
        }           
    }
    return false;
}

Understanding OutOfMemoryError Exception in Java, The OutOfMemoryError Exception in Java looks like this: is thrown, the VM invokes the fatal error handling mechanism (that is, it generates a fatal error log file,  Cause: The detail message "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

When dealing with OutOfMemory errors related to bitmap manipulation, checking the size of the decoded bitmap is the best and as far I know only option. Code follows:

public static BitmapFactory.Options getBitmapOptionsWithoutDecoding(String url){
    BitmapFactory.Options opts = new BitmapFactory.Options();
    opts.inJustDecodeBounds = true;
    BitmapFactory.decodeFile(url, opts);
    return opts;
}

public static int getBitmapSizeWithoutDecoding(String url){
    BitmapFactory.Options opts = getBitmapOptionsWithoutDecoding(url);
    return opts.outHeight*opts.outWidth*32/(1024*1024*8);
}

//ref:http://stackoverflow.com/questions/6073744/android-how-to-check-how-much-memory-is-remaining
public static double availableMemoryMB(){
    double max = Runtime.getRuntime().maxMemory()/1024;
    Debug.MemoryInfo memoryInfo = new Debug.MemoryInfo();
    Debug.getMemoryInfo(memoryInfo);
    return (max - memoryInfo.getTotalPss())/1024;
}

public static final long SAFETY_MEMORY_BUFFER = 10;//MB

public static boolean canBitmapFitInMemory(String path){
    long size = getBitmapSizeWithoutDecoding(path);
    Log.d(TAG, "image MB:"+size);
    return size <= availableMemoryMB() - SAFETY_MEMORY_BUFFER;
}

ref: http://developer.android.com/training/displaying-bitmaps/load-bitmap.html

java.lang.OutOfMemoryError, How to deal with the OutOfMemoryError. The most obvious solution to this error is to increase the available memory size for the Java Virtual  If you've pinned a large number of objects in memory, for example by using the fixed statement in C# or by calling the GCHandle.Alloc(Object, GCHandleType) method with a handle type of GCHandleType.Pinned, you can do the following to address the OutOfMemoryException exception.

In case you have big images like backgrounds or similar, a easy way to prevent Out Of Memory , is to move images from drawable-xhdpi to drawable-nodpi , but take care, this will load the bitmap without any modification. The good way should be used BitmapFactory.options to fit your necessity

Java heap space issue: How do I handle java.lang , If you get an OutOfMemoryError with the message “Java heap space” (not to be confused with message “PermGen space“), it simply means the JVM ran out of  This includes the global handle table (Window handles are unique machine wide) and shared system settings (such as SystemMetrics). It is unlikely you would ever need to change this value. The second SharedSection value (3072) controls the size of the desktop heap that is associated with an interactive window station (used for Windows objects).

Understand the OutOfMemoryError Exception, OutOfMemoryError exception is thrown, a stack trace is also printed. the VM invokes the fatal error handling mechanism (that is, it generates a fatal error log  There are definitely scenarios where catching an OOME makes sense. IDEA catches them and pops up a dialog to let you change the startup memory settings (and then exits when you are done).

Fixing Memory Leaks in Android, OutOfMemoryError: Failed to allocate a 4308492 byte allocation with The trick here, is to catch the app before the OutOfMemoryException. An hour later I had went through the Tomcat log files and found another interesting pattern. Right before the Tomcat restarts the all-too-familiar java.lang.OutOfMemoryError: heap space was staring right into my face. So apparently the Tomcat was dying due to lack of memory.

Creative way to handle OutOfMemoryError, Creative way to handle OutOfMemoryError. March 25, 2014 by Nikita Salnikov-​Tarnovski Filed under: Memory Leaks. OutOfMemoryError restart This can't be  In spite of the name, the most likely cause of a System.OutOfMemoryException is not technically due to a lack of memory. Instead, a System.OutOfMemoryException can occur when attempting to increase the length of an instance of the StringBuilder class, beyond what is specified by its current MaxCapacity property. To

Comments
  • It's OutOfMemory Error not Exception. There is a huge difference between Error and Excpetion
  • Notice that onLowMemory is called just when another application needs more memory. Not when your application is out of memory. So onLowMemory will not be invoked when OutOfMemoryError is thrown.
  • The idea is nice. Does it add any latency ?
  • Why android:hardwareAccelerated="false" ?