How To Fix 37582 - No space for at least 2 loop blocks

37582 - Overview

• Message type: E = Error

• Message class: 37 - Screen Painter

• Message number: 582

• Message text: No space for at least 2 loop blocks

What causes this issue?

You are editing a step loop and have chosen <LS>Select loop end</>.

System Response

The system uses the current cursor position to define the size of the
loop block as a rectangular screen section and immediately tries to
create a minimal step loop of two repetitions.
Since there is not enough space below the loop block for any
repetition, the system rejects the loop block in this size.

How to fix this error?

Place the cursor so that the system can create at least two loop
repetitions and repeat the function.
If there is not enough space for a repetition below the loop block, you
must leave step loop processing with F3=Back and create the required
space on the fullscreen first, e.g. by marking and moving.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message 37582 - No space for at least 2 loop blocks ?

  The SAP error message 37582, "No space for at least 2 loop blocks," typically occurs in the context of ABAP programming, particularly when dealing with internal tables and loops. This error indicates that the system has run out of memory or resources to allocate for the required loop blocks during the execution of a program.
  
  Cause:
  
  Memory Limitations: The program may be trying to process a large amount of data, leading to memory exhaustion.
  Inefficient Code: The code may have inefficient loops or data handling that consumes excessive memory.
  Large Internal Tables: If the internal tables being processed are too large, they may exceed the available memory.
  System Configuration: The SAP system may not be configured with sufficient memory resources.
  
  
  Solution:
  
  
  Optimize Code:
  
  Review the ABAP code for any inefficient loops or unnecessary data processing.
  Use more efficient data structures or algorithms to handle data.
  Avoid nested loops where possible, as they can significantly increase memory usage.
  
  
  
  Limit Data Processing:
  
  If possible,