How To Fix 50075 - Expanded source element table is empty (target element component &1.&2)

SAP Error Message - Details

• Message type: E = Error

• Message class: 50 - Messages in Package EEOB

• Message number: 075

• Message text: Expanded source element table is empty (target element component &1.&2)

What causes this issue?

An error occurred that has prevented further processing. This is most
likely due to a Customizing error.
The following information should enable a specialist to locate the
problem so that it can be resolved more quickly.
After expansion during container transformation, the source of the
obligatory target element component <ZH>&V1&.&V2&</> is a table without
lines. This table should be converted into an individual element. This
is not possible.
This involved the source element/literal:
<ZH>&V3&</>
Expansion rule:
<ZH>&V4&</>

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?

Contact your system administrator specifying the error situation
concerned.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message 50075 - Expanded source element table is empty (target element component &1.&2) ?

  The SAP error message 50075, which states "Expanded source element table is empty (target element component &1.&2)," typically occurs in the context of data processing or data transfer, particularly when working with data models, transformations, or mappings in SAP systems. This error indicates that the system expected to find data in a source element table, but it was empty when the operation was attempted.
  Cause:
  
  
  Empty Source Table: The most common cause is that the source table or data structure that is supposed to provide data for the target element is empty. This could be due to various reasons, such as:
  
  No data has been loaded into the source table.
  Data has been deleted or filtered out before the operation.
  Incorrect selection criteria or filters applied during data extraction.
  
  
  
  Configuration Issues: There may be issues with the configuration of the data model or transformation rules that lead to the source table not being populated correctly.
  
  
  Data Transfer Issues: If the error occurs during a data transfer process (e.g., ETL processes), it could be due to connectivity issues, incorrect mappings, or other data transfer problems.
  
  
  Solution:
  
  
  Check Source Data: Verify that the source table or data structure contains the expected data. You can do this by running a query or report to see if any records exist.
  
  
  Review Data Load Processes: If the source table is supposed to be populated by a data load process, check the logs and status of that process to ensure it completed successfully and that data was loaded as expected.
  
  
  Examine Configuration: Review the configuration of the data model, transformation rules, or mappings to ensure they are set up correctly. Look for any filters or conditions that might be excluding data.
  
  
  Debugging: If you have access to debugging tools, you can step through the process to identify where the data is being lost or not populated.
  
  
  Consult Documentation: Refer to SAP documentation or support resources for specific guidance related to the context in which the error occurs (e.g., data extraction, transformation, etc.).
  
  
  Contact SAP Support: If the issue persists and you cannot identify the cause, consider reaching out to SAP support for assistance, providing them with detailed information about the error and the context in which it occurs.
  
  
  Related Information:
  
  Transaction Codes: Depending on the context, you may want to check transaction codes related to data extraction (e.g., RSA1 for Data Warehousing, SE11 for Data Dictionary).
  Logs and Traces: Check application logs (SLG1) or system logs (SM21) for any additional error messages or warnings that could provide more context.
  Data Model Documentation: Review any documentation related to the data model or transformation processes to ensure you understand the expected data flow.
  
  By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.