How To Fix SIMDQ_IMHANA_ERRORS026 - Cleanse does not support more than one input table.

SAP Error Message - Details

• Message type: E = Error

• Message class: SIMDQ_IMHANA_ERRORS - IM in HANA error messages

• Message number: 026

• Message text: Cleanse does not support more than one input table.

Self-Explanatory Message

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Smart SAP Assistant

• What is the cause and solution for SAP error message SIMDQ_IMHANA_ERRORS026 - Cleanse does not support more than one input table. ?

  The SAP error message SIMDQ_IMHANA_ERRORS026 indicates that the Cleanse function in SAP Data Quality (DQ) does not support more than one input table. This error typically arises when you attempt to use the Cleanse operation with multiple input tables, which is not allowed in the context of the operation.
  Cause:
  The primary cause of this error is the attempt to process multiple input tables in a single Cleanse operation. The Cleanse function is designed to work with a single input table to perform data cleansing tasks, such as standardizing, validating, and enriching data.
  Solution:
  To resolve this error, you can take the following steps:
  
  
  Single Input Table: Ensure that you are only using one input table for the Cleanse operation. If you have multiple tables, you will need to process them separately.
  
  
  Data Preparation: If you need to cleanse data from multiple tables, consider merging or joining the tables into a single table before applying the Cleanse function. This can be done using SQL queries or data transformation tools available in SAP.
  
  
  Check Configuration: Review the configuration of your data cleansing job to ensure that it is set up correctly to handle only one input table.
  
  
  Documentation: Refer to the SAP documentation for the specific version of the Data Quality tool you are using. This can provide additional insights into the limitations and capabilities of the Cleanse function.
  
  
  Testing: After making the necessary adjustments, test the Cleanse operation again to ensure that it runs without errors.
  
  
  Related Information:
  
  SAP Data Quality Management: Familiarize yourself with the features and limitations of SAP DQ tools, as they can vary between versions.
  Data Integration: If you frequently need to cleanse data from multiple sources, consider using data integration tools that can handle complex data workflows.
  Error Handling: Implement error handling in your data processing workflows to catch and log errors like this for easier troubleshooting in the future.
  
  By following these steps, you should be able to resolve the error and successfully perform data cleansing operations in SAP.