What went wrong out of memory GC overhead limit exceeded?

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OutOfMemoryError: GC overhead limit exceeded” error indicates that the NameNode heap size is insufficient for the amount of HDFS data in the cluster. Increase the heap size to prevent out-of-memory exceptions.

What is GC overhead limit?

GC Overhead Limit Exceeded Error VirtualMachineError. It’s thrown by the JVM when it encounters a problem related to utilizing resources. More specifically, the error occurs when the JVM spent too much time performing Garbage Collection and was only able to reclaim very little heap space.

Is exceeding the memory limit possible in a program despite having a garbage collector in Java?

1 Answer. Yes, it is possible for the program to go out of memory in spite of the presence of a garbage collector.

What happens when the GC overhead limit is exceeded?

According to the JDK Troubleshooting guide, the “ java.lang.OutOfMemoryError: GC overhead ” limit exceeded indicates that the garbage collector is running all the time and Java program is making very slow progress.

What is the throughput goal for the G1 GC?

The throughput goal for the G1 GC is 90 percent application time and 10 percent garbage collection time. As a proof of concept, consider the following Class, which reproduces the OutOfMemoryError: GC overhead limit exceeded with JDK 1.6, using the Parallel GC:

What is the JVM GC overhead error?

Simply put, the JVM takes care of freeing up memory when objects are no longer being used; this process is called Garbage Collection ( GC ). The GC Overhead Limit Exceeded error is one from the family of java.lang.OutOfMemoryError and is an indication of a resource (memory) exhaustion.

Why does the GC throw an exception when garbage collection fails?

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.