This error is essentially SAP’s way of saying, “I ran out of memory while trying to process your request.” It’s triggered when a work process tries to allocate more memory than it’s allowed to, either because the system is under heavy load or because the program itself is consuming too much memory—often due to large internal tables or inefficient loops.
🧠 What’s Really Happening
Imagine your SAP system as a kitchen with limited counter space. If one chef (work process) tries to prepare a massive feast and spreads ingredients everywhere, there’s no room left for others—or even for that chef to continue. That’s what this dump is: the system couldn’t allocate another “page” of memory, so it stopped the process to protect itself.
🔍 How I Usually Approach It
Check ST22 for Dump Details I start by opening transaction ST22 and looking at the memory consumption section. It shows how much extended memory (EM), heap memory, and paging space was used at the time of the crash. If the numbers are unusually high, that’s my first clue.
Review the Program Logic Often, the culprit is a loop that’s pulling too much data into an internal table. I look for SELECT statements without proper WHERE clauses or nested loops that could be optimized.
Use ST02 to Check Memory Parameters This transaction shows the current memory settings. I compare them against the values in the dump to see if the system limits are too tight. Sometimes, increasing parameters like
em/initial_size_MBorabap/heap_area_totalcan help—but only after consulting with BASIS.Temporary Fixes for One-Time Loads If the issue is with a one-off data load, I might use program RSMEMORY to temporarily bump up memory allocation. It’s not a long-term fix, but it gets the job done when needed.
Coordinate with BASIS Team If the dump is recurring or affects multiple users, it’s time to loop in BASIS. They can adjust memory profiles or investigate system-wide load issues.
🧩 Why This Error Matters
It’s more than just a technical hiccup—it’s a warning that your system is being pushed beyond its safe limits. Ignoring it could lead to performance degradation or even system instability. By understanding the root cause—whether it’s bad code, heavy data, or tight memory settings—you can fix it and prevent future dumps.
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