Understanding and Resolving java.lang.OutOfMemoryError: reason stack_trace_with_native_method
This article explains why the Java OutOfMemoryError with reason stack_trace_with_native_method occurs when native method calls exhaust thread stack memory, and provides diagnostic steps and practical solutions such as analyzing stack traces, using OS tools, optimizing native code, adjusting JVM memory settings, and avoiding recursive native calls.
What is OutOfMemoryError: reason stack_trace_with_native_method ?
The error occurs when the Java Virtual Machine (JVM) cannot allocate enough stack memory for a thread that is executing native method calls, causing the application to crash.
It typically appears in applications that use the Java Native Interface (JNI) to interact with native code; most Java applications do not use JNI, so the error is relatively rare.
Common Causes
Heavy use of native methods : Native methods are implemented in languages such as C or C++. Excessive use can increase memory consumption and lead to stack overflow.
Recursive native method calls : Recursion in native code can cause the call stack to grow rapidly, eventually exhausting the thread's stack memory.
How to Diagnose
Analyze stack traces : Examine the error log’s stack trace to identify the sequence of native method calls that triggered the error.
Use operating‑system tools : DTrace : A dynamic tracing framework available on some Unix‑like systems (e.g., macOS, FreeBSD) for real‑time observation of system behavior. pmap : Command‑line utility that shows detailed memory mapping of a process, helping locate memory‑intensive regions. pstack : Prints the call stack of a running process. Use pstack to detect stack overflows caused by recursive native calls.
For more tools, see the Oracle troubleshooting guide: https://docs.oracle.com/javase/8/docs/technotes/guides/troubleshoot/tooldescr020.html#BABBHHIE
Solutions
Optimize native code : Reduce the amount of native code and improve its implementation to lower memory usage.
Adjust JVM memory allocation : Increase stack size or overall heap size as needed, and consider tuning thread‑pool sizes.
Avoid recursive native calls : Refactor code to eliminate recursion in native methods.
Use thread pools : Limit the number of concurrent threads to reduce overall memory consumption.
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