How To Fix CNV_10020573 - Table &1 needs a lot of memory space for &2 &3

SAP Error Message - Details

• Message type: E = Error

• Message class: CNV_10020 - Message class for package 10020

• Message number: 573

• Message text: Table &1 needs a lot of memory space for &2 &3

What causes this issue?

The system found that &V2& &V3& was stored for the org. determination
for table &V1& (possibly as a subpath). This path needs around &V4&
kByte of memory space.
If processing of the table is split up into a multitude of tasks and/or
if a multitude of tables that need a lot of memory space is processed
in parallel, the <zh>total</> amount of storage space required may be
so big that only a few jobs can be processed in parallel.

System Response

The program for processing the table &V1& will probably not terminate.
however it will take up a lot of memory space.

How to fix this error?

Make sure that no other jobs that require a lot of memory space run in
parallel while table &V1& is being processed.
If necessary, reduce the required amount of data for &V2& &V3& and/or
choose partial determination or single determination for this path.
&HINTS&
<zh>You can get a complete overview of the storage requirements of all
tables in transaction CNV_10020_MEMTMON. The documentation for this
transaction contains a detailed description of possible solutions for
this problem.</>

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message CNV_10020573 - Table &1 needs a lot of memory space for &2 &3 ?

  The SAP error message CNV_10020573 indicates that a specific table (denoted as &1) requires a significant amount of memory space for a particular operation, which is specified by &2 and &3. This error typically arises during data migration or conversion processes, especially when dealing with large datasets.
  Cause:
  
  Large Data Volume: The table in question contains a large volume of data that needs to be processed, which can exceed the available memory.
  Insufficient Memory Allocation: The system may not have enough memory allocated to handle the operation, leading to this error.
  Configuration Issues: The SAP system may not be optimally configured for handling large datasets, which can lead to memory issues.
  Database Performance: The underlying database may also be a factor, especially if it is not optimized for large data operations.
  
  Solution:
  
  
  Increase Memory Allocation:
  
  Adjust the memory settings in the SAP system. This can be done by modifying the instance profile parameters, such as abap/heap_area_total and abap/heap_area_dia.
  Ensure that the server has sufficient physical memory available.
  
  
  
  Optimize Data Processing:
  
  If possible, break down the data processing into smaller batches to reduce memory consumption during the operation.
  Use selection criteria to limit the amount of data being processed at one time.
  
  
  
  Database Optimization:
  
  Ensure that the database is properly indexed and optimized for performance.
  Consider running database maintenance tasks to improve performance.
  
  
  
  Check for Locks and Performance Bottlenecks:
  
  Investigate if there are any locks or performance bottlenecks in the system that could be affecting memory usage.
  
  
  
  Review SAP Notes:
  
  Check for any relevant SAP Notes that may address this specific error or provide additional guidance on handling large tables during data migration.
  
  
  
  Consult SAP Support:
  
  If the issue persists, consider reaching out to SAP Support for further assistance, especially if this is a recurring problem.
  
  
  
  Related Information:
  
  Transaction Codes: You may want to use transaction codes like ST22 (Dump Analysis) and SM21 (System Log) to analyze any dumps or logs that could provide more context on the error.
  Performance Monitoring: Use transaction ST03N to monitor system performance and identify any resource bottlenecks.
  Documentation: Review SAP documentation related to data migration and memory management for best practices.
  
  By addressing the memory allocation and optimizing the data processing, you should be able to resolve the CNV_10020573 error effectively.