How To Fix RSLPO_DFG156 - Data type/length of source field (&1) and target field(&2) do not match

SAP Error Message - Details

• Message type: E = Error

• Message class: RSLPO_DFG - Messages for Data-Flow Generation

• Message number: 156

• Message text: Data type/length of source field (&1) and target field(&2) do not match

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSLPO_DFG156 - Data type/length of source field (&1) and target field(&2) do not match ?

  The SAP error message RSLPO_DFG156 indicates a mismatch between the data type or length of a source field and a target field during data transfer or transformation processes, typically in the context of data extraction, transformation, and loading (ETL) operations, such as those performed in SAP Data Services or SAP BW.
  Cause:
  
  Data Type Mismatch: The source field and target field may have different data types (e.g., one is a character type while the other is numeric).
  Length Mismatch: The length of the source field may exceed the length defined for the target field. For example, if the source field is defined as a VARCHAR(50) and the target field is defined as VARCHAR(30), this will cause an error.
  Incompatible Structures: If the source and target structures are not compatible due to changes in the data model or incorrect mapping, this error can occur.
  Transformation Logic: If there are transformations applied to the data that result in a type or length that does not match the target field, this can also lead to the error.
  
  Solution:
  
  Check Data Types: Verify the data types of both the source and target fields. Ensure that they are compatible. If necessary, change the data type of the target field to match the source field.
  Adjust Field Lengths: If the source field length exceeds the target field length, consider increasing the length of the target field to accommodate the source data.
  Review Mapping: Check the mapping configuration in your ETL process. Ensure that the fields are correctly mapped and that any transformations applied are appropriate for the target field.
  Data Cleansing: If the source data contains values that exceed the target field's constraints, consider implementing data cleansing steps to truncate or modify the data before it reaches the target.
  Testing: After making changes, perform tests to ensure that the data transfer works without errors.
  
  Related Information:
  
  SAP Documentation: Refer to SAP's official documentation for data modeling and ETL processes for more detailed guidance on data types and field mappings.
  Data Services: If using SAP Data Services, consult the Data Services documentation for best practices on data type handling and transformation rules.
  SAP Community: Engage with the SAP Community forums for insights and solutions from other users who may have encountered similar issues.
  Transaction Codes: Use transaction codes like SE11 (Data Dictionary) to check the definitions of the fields involved.
  
  By addressing the data type and length mismatches, you should be able to resolve the RSLPO_DFG156 error and ensure successful data processing.