How To Fix IFME_ENGINE001 - Raw data was not supplied

SAP Error Message - Details

• Message type: E = Error

• Message class: IFME_ENGINE - Incoming files - Engine

• Message number: 001

• Message text: Raw data was not supplied

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

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Smart SAP Assistant

• What is the cause and solution for SAP error message IFME_ENGINE001 - Raw data was not supplied ?

  The SAP error message IFME_ENGINE001: Raw data was not supplied typically occurs in the context of the SAP Information Management (IM) or SAP Data Services (DS) when the system expects raw data input for processing but does not receive it. This can happen in various scenarios, such as data extraction, transformation, or loading processes.
  Causes:
  
  Missing Input Data: The most common cause is that the required raw data input is not provided to the function or process that is expecting it.
  Incorrect Configuration: The configuration settings for the data flow or job may not be set up correctly, leading to the system not being able to locate or recognize the input data.
  Data Source Issues: The data source from which the raw data is supposed to be fetched may be unavailable, misconfigured, or not accessible.
  Mapping Errors: If there are mapping errors in the data flow, the system may not be able to identify the raw data correctly.
  Job Execution Context: The job or process may not be executed in the correct context or environment where the raw data is available.
  
  Solutions:
  
  Check Input Data: Ensure that the raw data is being supplied correctly. Verify that the data source is populated and accessible.
  Review Configuration: Go through the configuration settings of the data flow or job to ensure that all parameters are set correctly and that the input data is properly defined.
  Validate Data Source: Check the connection to the data source. Ensure that it is active and that the credentials used to access it are correct.
  Examine Mapping: Review the mapping of the data flow to ensure that all fields are correctly mapped and that there are no discrepancies.
  Test in Isolation: If possible, run the job or process in isolation to see if the error persists. This can help identify if the issue is with the specific job or a broader system issue.
  Check Logs: Review the logs for any additional error messages or warnings that may provide more context about the issue.
  
  Related Information:
  
  SAP Documentation: Refer to the official SAP documentation for Information Management or Data Services for detailed information on data flows and error handling.
  SAP Community: Engage with the SAP Community forums where other users may have encountered similar issues and can provide insights or solutions.
  Support Tickets: If the issue persists and cannot be resolved, consider raising a support ticket with SAP for further assistance.
  
  By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.