How to Effectively Manage \"OutOfMemoryError: GC overhead limit exceeded\" for Numerous Small HashMap Objects?

OutOfMemoryError: Handling Garbage Collection Overhead

In Java, the error "java.lang.OutOfMemoryError: GC overhead limit exceeded" occurs when excessive time is spent on garbage collection, as per Sun's documentation. To resolve this issue, increasing the heap size via the "-Xmx1024m" argument can suffice.

However, an alternative approach is desired for a specific use case involving numerous small HashMap objects. Using the clear() method, though effective, discards valuable data.

Therefore, consider the following programmatic solutions:

• Specify Optimized Heap Size: Experiment with intermediate heap sizes, such as "-Xmx512m", to find a balance between memory allocation and performance.
• Batch Processing: Divide the HashMap objects into smaller batches for processing, allowing for more efficient garbage collection.
• String Interning: Generate interned strings (via String.intern()) for duplicate Strings to conserve memory.
• HashMap Configuration: Utilize the HashMap constructor with custom initialCapacity and loadFactor parameters to optimize HashMap behavior for the specific use case.

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