How To Fix RODPS_SAPI003 - &1 &2 &3 &4


RODPS_SAPI003 - Overview

  • Message type: E = Error

  • Message class: RODPS_SAPI - ODS DataSource Access

  • Message number: 003

  • Message text: &1 &2 &3 &4

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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 RODPS_SAPI003 - &1 &2 &3 &4 ?
    The SAP error message RODPS_SAPI003 typically relates to issues encountered in the SAP Data Services or SAP BW (Business Warehouse) environment, particularly when dealing with data extraction or loading processes. The message format usually includes placeholders (&1, &2, &3, &4) that provide specific details about the error, such as the object name, the type of error, or other relevant identifiers.
    
    Cause: The specific causes of the RODPS_SAPI003 error can vary, but common reasons include: Data Source Issues: The data source may be unavailable, misconfigured, or not accessible due to network issues or permissions. Transformation Errors: There may be issues in the data transformation logic that prevent successful data processing. Data Type Mismatches: Incompatibilities between the source and target data types can lead to errors during data loading. Resource Limitations: Insufficient memory or processing resources on the server can cause failures in data processing. Configuration Errors: Incorrect settings in the data extraction or loading configuration can lead to

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