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How To Fix TA125 - ERROR: Maximum number of errors exceeded


SAP Error Message - Details

  • Message type: E = Error

  • Message class: TA - Extended table maintenance (eval., Customizing, client copy)

  • Message number: 125

  • Message text: ERROR: Maximum number of errors exceeded

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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 TA125 - ERROR: Maximum number of errors exceeded ?

    The SAP error message TA125, which states "Maximum number of errors exceeded," typically occurs during data processing activities, such as data uploads or batch processing, when the system encounters too many errors in the input data. This error is often seen in transactions involving data transfer, such as LSMW (Legacy System Migration Workbench), BAPIs, or other data import methods.

    Cause:

    1. Data Quality Issues: The most common cause is that the data being processed contains multiple errors, such as incorrect formats, missing mandatory fields, or invalid values.
    2. Configuration Settings: The system may have a predefined limit on the number of errors it can tolerate before it stops processing. This limit is set in the configuration of the data processing tool being used.
    3. Batch Size: If the batch size of the data being processed is too large, it may lead to a higher number of errors being encountered before the process can complete.

    Solution:

    1. Review Error Log: Check the error log to identify the specific errors that are causing the issue. This can usually be done in the transaction where the error occurred (e.g., LSMW, BAPIs).
    2. Correct Data Issues: Once you identify the errors, correct the data in the source file or input. Ensure that all mandatory fields are filled, and that the data adheres to the required formats and constraints.
    3. Adjust Error Tolerance: If appropriate, you can adjust the maximum number of errors allowed in the configuration settings of the tool you are using. However, this should be done with caution, as it may lead to incomplete or incorrect data being processed.
    4. Reduce Batch Size: If you are processing a large batch of data, consider breaking it down into smaller batches. This can help isolate errors and make it easier to identify and correct them.
    5. Testing: Before running large data uploads, conduct tests with smaller datasets to ensure that the data is valid and that the process works as expected.

    Related Information:

    • Transaction Codes: Depending on the context, you may be using different transaction codes (e.g., LSMW, SE38 for ABAP programs, etc.) to process data.
    • SAP Notes: Check SAP Notes for any known issues or patches related to the specific transaction or process you are using.
    • Documentation: Refer to SAP documentation for guidelines on data formats, mandatory fields, and error handling for the specific module or transaction you are working with.

    By following these steps, you should be able to resolve the TA125 error and successfully process your data.

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