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How To Fix TB001 - Table & does not contain any data


SAP Error Message - Details

  • Message type: E = Error

  • Message class: TB - SM31 table maintenance messages

  • Message number: 001

  • Message text: Table & does not contain any data

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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 TB001 - Table & does not contain any data ?

    The SAP error message TB001, which states "Table & does not contain any data," typically indicates that the specified table is empty or that there are no entries that meet the criteria of the query being executed. This can occur in various contexts, such as when trying to access configuration tables, master data tables, or transaction data tables.

    Causes:

    1. Empty Table: The table in question may not have been populated with any data yet. This can happen in newly created systems or after a data migration that did not complete successfully.
    2. Selection Criteria: The query or transaction may have selection criteria that do not match any existing records in the table.
    3. Authorization Issues: The user may not have the necessary authorizations to view the data in the table, leading to the perception that it is empty.
    4. Data Deletion: Data may have been deleted from the table due to business processes, data archiving, or other reasons.
    5. Incorrect Table Name: The table name specified in the error message may be incorrect or misspelled.

    Solutions:

    1. Check Table Contents: Use transaction codes like SE11 (Data Dictionary) or SE16 (Data Browser) to check if the table actually contains any data. If it is empty, you may need to populate it.
    2. Review Selection Criteria: If you are running a report or transaction, review the selection criteria to ensure they are correct and that you are not filtering out all records unintentionally.
    3. Verify Authorizations: Ensure that the user has the necessary authorizations to view the data in the table. This can be checked with transaction SU53 or by consulting with your security team.
    4. Data Population: If the table is supposed to contain data (e.g., after a migration), check the data loading process to ensure it completed successfully. You may need to re-run data loads or check for errors in the data transfer.
    5. Check for Deletions: Investigate if there have been any recent deletions or archiving processes that may have affected the data in the table.
    6. Correct Table Name: Double-check the table name for any typos or errors in the transaction or report you are running.

    Related Information:

    • Transaction Codes: Familiarize yourself with relevant transaction codes such as SE11 (Data Dictionary), SE16 (Data Browser), and SE78 (SAP Archive Management) for data management.
    • SAP Notes: Check SAP Notes for any known issues related to the specific table or transaction you are working with. SAP Notes can provide insights into bugs or required patches.
    • Documentation: Review the documentation for the specific module or functionality you are working with to understand the expected data flow and table usage.

    If the issue persists after checking these aspects, it may be beneficial to consult with your SAP Basis or functional team for further investigation.

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