How To Fix RS_DME_SC034 - No data exists for the visualization


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RS_DME_SC - Messages for Scoring

  • Message number: 034

  • Message text: No data exists for the visualization

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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.

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



    What else can you do?

    First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

    Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

    You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.


Smart SAP Assistant

  • What is the cause and solution for SAP error message RS_DME_SC034 - No data exists for the visualization ?

    The SAP error message RS_DME_SC034: No data exists for the visualization typically occurs in the context of SAP Data Warehousing or Business Intelligence when a query or visualization is executed, but there is no data available to display. This can happen for various reasons, and understanding the cause is essential for troubleshooting.

    Causes:

    1. No Data in the Source: The most straightforward reason is that there is simply no data available in the underlying data source or InfoProvider that the query is trying to access.

    2. Filters Applied: There may be filters applied in the query or visualization that are too restrictive, resulting in no data being returned.

    3. Data Load Issues: There could be issues with the data load process, such as failed data loads or incomplete data extraction from the source systems.

    4. Incorrect Query Design: The query might be incorrectly designed, leading to no data being fetched. This could include issues with joins, aggregations, or selections.

    5. Authorization Issues: The user executing the query may not have the necessary authorizations to view the data.

    6. Time Period Selection: If the query is set to a specific time period where no data exists, this error can occur.

    Solutions:

    1. Check Data Availability: Verify that there is data in the underlying data source. You can do this by running a simple query or checking the data in the relevant InfoProvider.

    2. Review Filters: Examine any filters applied to the query or visualization. Try removing or adjusting them to see if data is returned.

    3. Monitor Data Loads: Check the data load process in the Data Warehousing system. Ensure that data loads are successful and that the data is being populated correctly.

    4. Query Design Review: Review the query design for any potential issues. Ensure that joins and aggregations are set up correctly and that the selections are appropriate.

    5. Check Authorizations: Ensure that the user has the necessary authorizations to access the data. This may involve checking roles and permissions in the SAP system.

    6. Adjust Time Period: If the query is limited to a specific time period, try expanding the time range to see if data exists outside of the selected period.

    Related Information:

    • Transaction Codes: You may want to use transaction codes like RSA1 (Data Warehousing Workbench) to check data models and data loads.
    • SAP Notes: Check SAP Notes for any known issues or patches related to this error message.
    • Documentation: Refer to SAP documentation for best practices in query design and data modeling to avoid such issues in the future.

    By systematically checking these areas, you should be able to identify the cause of the error and implement the appropriate solution.

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