How To Fix WLC_PARALLEL045 - Field &1 in table &2 is not available

SAP Error Message - Details

• Message type: E = Error

• Message class: WLC_PARALLEL - Load Distribution and External Parallel Processing

• Message number: 045

• Message text: Field &1 in table &2 is not available

What causes this issue?

You should be able to distribute the worklist among parallel jobs using
the value in field &V1& in table &V2&.
Unfortunately, &V1& is not contained in &V2&.

System Response

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

How to fix this error?

Check whether the name in the input field in the "Selection of Values
for Grouping Worklists" has been spelt correctly, and correct it, if
necessary.
If you did not make your own entry in this field, then it is an
internal error. In that case, contact your system administrator.

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 WLC_PARALLEL045 - Field &1 in table &2 is not available ?

  The SAP error message WLC_PARALLEL045 indicates that a specific field in a specified table is not available for processing in a parallel execution context. This error typically arises in scenarios where parallel processing is attempted, but the system encounters a field that is not suitable for such operations.
  
  Cause:
  
  
  Field Not Available: The field specified in the error message is not available in the context of the operation being performed. This could be due to:
  
  The field being part of a structure that is not included in the parallel processing context.
  The field being locked or not accessible due to the current transaction state.
  The field being part of a table that is not designed for parallel processing.
  
  
  
  
  Configuration Issues: There may be configuration settings in the SAP system that restrict certain fields from being accessed in parallel processing.
  
  
  Data Consistency: The data in the table may not be consistent or may have been modified in a