How To Fix RSDA_HDP106 - Column &1: Cannot change type '&2' to '&3'


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RSDA_HDP -

  • Message number: 106

  • Message text: Column &1: Cannot change type '&2' to '&3'

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  • 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.

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Smart SAP Assistant

  • What is the cause and solution for SAP error message RSDA_HDP106 - Column &1: Cannot change type '&2' to '&3' ?

    The SAP error message RSDA_HDP106 typically occurs in the context of SAP Data Services or SAP HANA when there is an issue with data type conversion during data processing or transformation. This error indicates that there is an attempt to change the data type of a column from one type to another, but the conversion is not allowed or feasible.

    Cause:

    The error message RSDA_HDP106 is triggered when:

    1. Incompatible Data Types: The source column's data type (&2) is not compatible with the target data type (&3). For example, trying to convert a string to a date format without proper formatting or trying to convert a decimal to an integer without handling the decimal places.
    2. Data Integrity Issues: The data in the source column may contain values that cannot be converted to the target type. For instance, if the source column has non-numeric characters and you are trying to convert it to an integer.
    3. Transformation Logic: The transformation logic defined in the data flow may not correctly handle the conversion between the specified types.

    Solution:

    To resolve the RSDA_HDP106 error, you can take the following steps:

    1. Check Data Types: Review the data types of the source and target columns. Ensure that the conversion is logically valid. For example, if you are converting from a string to a date, ensure that the string is in a valid date format.

    2. Data Cleansing: If the source data contains invalid values for the target type, you may need to cleanse the data. This could involve:

      • Removing or correcting invalid entries.
      • Using functions to convert or format the data correctly before the conversion.
    3. Use Appropriate Functions: Utilize the appropriate conversion functions provided by SAP Data Services or HANA. For example, use TO_DATE, TO_NUMBER, or CAST functions to explicitly convert data types.

    4. Modify Transformation Logic: If you are using a transformation step in your data flow, ensure that the logic correctly handles the conversion. You may need to add conditions to handle different data types or formats.

    5. Testing: After making changes, test the data flow with a subset of data to ensure that the conversion works as expected without triggering the error.

    Related Information:

    • SAP Documentation: Refer to the official SAP documentation for Data Services or HANA for detailed information on data type conversions and best practices.
    • Data Type Compatibility: Familiarize yourself with the compatibility of different data types in SAP, as this can help prevent similar issues in the future.
    • Error Logs: Check the error logs for additional context or details that may help identify the specific cause of the error.

    By following these steps, you should be able to identify the root cause of the RSDA_HDP106 error and implement a solution to resolve it.

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