OP 05 November, 2026 - 05:06 PM
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A larger heap can delay an OutOfMemoryError without fixing the cause. First confirm whether memory is genuinely retained, then collect evidence before changing limits.
1. Confirm the symptom
Record the exact error, Java and JDK version, container or host limit, current heap settings, workload, and time to failure. Distinguish Java heap space from metaspace, direct-buffer, native-memory, and operating-system failures.
2. Watch the trend after garbage collection
A busy application can use a large heap without leaking. Look for retained memory that keeps rising after comparable full collections and workloads.
3. Capture class histograms
Code:
jcmd <pid> GC.class_histogram4. Collect a heap dump safely
Code:
jcmd <pid> GC.heap_dump filename=heapdump.dmp5. Review garbage-collection behavior
Check allocation rate, promotion, pause times, collection frequency, and whether the live set returns to a stable level. More frequent collection alone does not identify the retaining code.
6. Inspect common retention paths
Review unbounded caches, static collections, listeners that are never removed, ThreadLocal values, queues, class loaders, and resources whose lifecycle is longer than intended.
7. Check native and off-heap memory
Direct buffers, thread stacks, JNI libraries, mapped files, metaspace, and JVM internals are outside the ordinary Java heap. Increasing -Xmx can leave less memory for these areas.
8. Reproduce and validate the fix
Use the same workload and duration, then compare heap growth, GC behavior, object counts, latency, and correctness. Keep the original evidence with the result.
Incident record
Code:
Java/JDK version:
Host or container limit:
-Xms / -Xmx:
Exact error:
Workload:
Time to failure:
Histogram samples:
Heap dump location:
Top growing classes:
Suspected retention path:
Fix tested:
Validation result:Useful references
- Oracle: Troubleshoot Memory Leaks
- Oracle: jcmd command
- Oracle: Using Java Flight Recorder
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