How To Fix CSM_VMC103 - Memory Availabilty in the Shared Pool

CSM_VMC103 - Overview

• Message type: E = Error

• Message class: CSM_VMC - Messages for VM Container Monitoring

• Message number: 103

• Message text: Memory Availabilty in the Shared Pool

What causes this issue?

The memory status in the shared pool of the VM Container is constantly
monitored. The value of this attribute tells you whether, within the
monitoring cycle, the shared pool is short of memory.

System Response

The memory availability is checked after each shared garbage collection
run. Here the <ZK>water mark </>has a central role. This is the amount
of shared pool occupied, which when exceeded, a shared GC is promptly
triggered. If insufficent memory is released after a shared GC has run,
falling short of the water mark, this monitoring attribute triggers a
"yellow alert". If this status remains after two or more subsequent
shared GCs, a "red alert" is triggered.
For more information about memory management in the VM Container see the
online documentation under <DS:KENO.001560AA0E081DEB91E241270609CAF7>
Memory Management in the VM Container</>.

How to fix this error?

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message CSM_VMC103 - Memory Availabilty in the Shared Pool ?

  The SAP error message CSM_VMC103, which pertains to "Memory Availability in the Shared Pool," typically indicates that the system is experiencing issues related to memory allocation in the shared memory pool. This can occur in various SAP environments, particularly those using the SAP NetWeaver Application Server.
  
  Cause:
  
  Insufficient Memory Allocation: The shared memory pool may not have enough memory allocated to handle the current workload or the number of active users.
  Memory Fragmentation: Over time, memory can become fragmented, leading to inefficient use of available memory.
  High Load: A sudden increase in user activity or background jobs can lead to a spike in memory usage.
  
  Configuration Issues: Incorrect configuration settings for memory parameters in the SAP system can lead to inadequate memory allocation.
  Long-Running Transactions: Transactions that consume a lot of memory and do not release it can lead to depletion of available memory in the shared pool.
  
  
  Solution:
  
  Increase Memory Allocation: Adjust the memory settings in the