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How To Fix /SCMB/TDL_UTILS073 - Selection period is too long for target time series ID &1


SAP Error Message - Details

  • Message type: E = Error

  • Message class: /SCMB/TDL_UTILS -

  • Message number: 073

  • Message text: Selection period is too long for target time series ID &1

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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.



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    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 /SCMB/TDL_UTILS073 - Selection period is too long for target time series ID &1 ?

    The SAP error message /SCMB/TDL_UTILS073 Selection period is too long for target time series ID &1 typically occurs in the context of SAP Advanced Planning and Optimization (APO) or Supply Chain Management (SCM) when working with time series data. This error indicates that the selection period you are trying to use for a specific target time series ID is too long, which can lead to performance issues or exceed system limits.

    Cause:

    1. Excessive Time Range: The selection period you specified for the time series data is longer than what the system can handle efficiently. This could be due to a large number of time buckets being selected.
    2. Configuration Limits: There may be predefined limits in the system configuration that restrict the maximum allowable selection period for time series data.
    3. Data Volume: The volume of data being processed for the specified time series ID may be too large, leading to performance degradation.

    Solution:

    1. Reduce the Selection Period: Modify your selection criteria to use a shorter time period. For example, if you are trying to select data for several years, consider narrowing it down to a few months or weeks.
    2. Check Configuration Settings: Review the configuration settings related to time series data in your SAP system. There may be parameters that define the maximum allowable selection period, which can be adjusted if necessary.
    3. Optimize Data Processing: If you are working with large datasets, consider optimizing your data processing logic to handle smaller chunks of data at a time.
    4. Consult Documentation: Refer to SAP documentation or notes related to the specific time series ID you are working with to understand any limitations or best practices.
    5. Contact SAP Support: If the issue persists and you cannot find a resolution, consider reaching out to SAP support for assistance. They may provide insights specific to your system configuration or version.

    Related Information:

    • Transaction Codes: Familiarize yourself with relevant transaction codes in SAP SCM/APO that deal with time series data, such as /SCMB/TDL for time series management.
    • Performance Tuning: Look into performance tuning techniques for SAP APO/SCM, especially if you frequently encounter issues with large datasets.
    • SAP Notes: Search for SAP Notes related to this error message in the SAP Support Portal, as there may be specific patches or updates that address this issue.

    By following these steps, you should be able to resolve the error and improve your experience with time series data in SAP.

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