How To Fix M&156 - For technical reasons, no more than & tables may be selected


M&156 - Overview

  • Message type: E = Error

  • Message class: M& -

  • Message number: 156

  • Message text: For technical reasons, no more than & tables may be selected

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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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    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 M&156 - For technical reasons, no more than & tables may be selected ?
    The SAP error message M&156 indicates that a limit has been reached regarding the number of database tables that can be selected in a particular operation. This is a technical restriction within the SAP system, often encountered when performing operations that involve multiple database tables, such as in reports, queries, or data extraction processes.
    
    Cause: The error occurs because SAP has a predefined limit on the number of tables that can be joined or selected in a single query or operation. This limit is in place to ensure system performance and stability, as joining too many tables can lead to complex queries that may degrade performance or cause resource issues.
    Solution: To resolve the M&156 error, consider the following approaches: Reduce the Number of Tables: Review the query or operation you are attempting to perform and try to reduce the number of tables involved. This may involve: Simplifying the query. Breaking the operation into smaller parts that

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