How To Fix L3719 - Selection will mean that too large a data volume will be read


SAP Error Message - Details

  • Message type: E = Error

  • Message class: L3 -

  • Message number: 719

  • Message text: Selection will mean that too large a data volume will be read

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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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Smart SAP Assistant

  • What is the cause and solution for SAP error message L3719 - Selection will mean that too large a data volume will be read ?

    The SAP error message L3719 indicates that the selection criteria you have specified in your report or transaction will result in reading a very large volume of data. This can lead to performance issues, such as long processing times or even system timeouts. The system is warning you that the operation may not be feasible due to the potential size of the data set.

    Cause:

    1. Broad Selection Criteria: The selection criteria you have set may be too broad, allowing for a large number of records to be retrieved.
    2. Large Data Volume: The underlying database table may contain a significant amount of data, and your selection criteria do not sufficiently narrow down the results.
    3. Inefficient Queries: The way the query is structured may not be optimized for performance, leading to excessive data retrieval.

    Solutions:

    1. Refine Selection Criteria: Narrow down your selection criteria to limit the number of records being retrieved. For example, use more specific date ranges, statuses, or other relevant filters.
    2. Use Aggregation: If applicable, consider using aggregation functions to summarize data instead of retrieving all individual records.
    3. Batch Processing: If you need to process a large volume of data, consider breaking it down into smaller batches. This can help manage the load on the system.
    4. Check Indexes: Ensure that the database tables involved have appropriate indexes to speed up data retrieval.
    5. Use Background Processing: If the operation is expected to take a long time, consider running it in the background rather than in the foreground.
    6. Consult with IT: If you are unsure how to optimize your query or if the issue persists, consult with your IT department or SAP Basis team for further assistance.

    Related Information:

    • Transaction Codes: Depending on the context, you may be using specific transaction codes (e.g., SE16, SE11) to access data. Ensure you are familiar with the data volume implications of these transactions.
    • Performance Monitoring: Use SAP performance monitoring tools to analyze the impact of your queries on system performance.
    • SAP Notes: Check SAP Notes for any known issues or recommendations related to the specific transaction or report you are using.
    • Documentation: Refer to SAP documentation for best practices on data selection and performance optimization.

    By addressing the selection criteria and optimizing your queries, you can avoid the L3719 error and improve the performance of your SAP system.

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