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How To Fix TPDA365 - Table &1 has more than &2 rows; search can take a very long time


SAP Error Message - Details

  • Message type: E = Error

  • Message class: TPDA - Debugger

  • Message number: 365

  • Message text: Table &1 has more than &2 rows; search can take a very long time

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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 TPDA365 - Table &1 has more than &2 rows; search can take a very long time ?

    The SAP error message TPDA365 indicates that a specific database table (denoted as &1 in the message) contains more than a specified number of rows (denoted as &2). This situation can lead to performance issues, particularly when executing queries or searches on that table, as the system may take a long time to process the data.

    Cause:

    1. Large Table Size: The primary cause of this error is that the table in question has grown significantly in size, exceeding the threshold set by the system for efficient querying.
    2. Inefficient Queries: If queries are not optimized or if there are no appropriate indexes on the table, it can lead to longer search times.
    3. Lack of Archiving: If old or unnecessary data is not archived or deleted, it can contribute to the table's size.
    4. Configuration Settings: The threshold for the number of rows that triggers this warning may be set too low for the specific use case.

    Solution:

    1. Optimize Queries: Review and optimize the queries being executed against the table. Ensure that they are using appropriate WHERE clauses and that they are indexed correctly.
    2. Indexing: Create or update indexes on the table to improve search performance. This can significantly reduce the time taken to retrieve data.
    3. Data Archiving: Implement data archiving strategies to move old or less frequently accessed data to archive tables. This will help reduce the size of the active table.
    4. Partitioning: If applicable, consider partitioning the table to improve performance. This can help manage large datasets more effectively.
    5. Adjust Thresholds: If the current threshold for the warning is too low for your business needs, consider adjusting it in the system settings. However, this should be done with caution and a clear understanding of the implications.
    6. Database Maintenance: Regularly perform database maintenance tasks such as updating statistics, reorganizing tables, and cleaning up unused data.

    Related Information:

    • Transaction Codes: You can use transaction codes like SE11 (Data Dictionary) to analyze the table structure and indexes, and SE14 (Database Utility) for database-related operations.
    • Performance Monitoring: Use transaction ST03N to monitor performance and identify long-running queries.
    • SAP Notes: Check SAP Notes for any known issues or recommendations related to the specific table or error message.
    • Documentation: Refer to SAP documentation for best practices on database management and performance tuning.

    By addressing the underlying causes and implementing the suggested solutions, you can mitigate the performance issues associated with large tables in SAP.

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