How To Fix RSDU_REPART815 - The estimated fact table size of &1 GB is close to the DB limit of &2 GB


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RSDU_REPART - Messages for Repartitioning InfoProviders

  • Message number: 815

  • Message text: The estimated fact table size of &1 GB is close to the DB limit of &2 GB

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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.

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Smart SAP Assistant

  • What is the cause and solution for SAP error message RSDU_REPART815 - The estimated fact table size of &1 GB is close to the DB limit of &2 GB ?

    The SAP error message RSDU_REPART815 indicates that the estimated size of a fact table in your SAP BW (Business Warehouse) system is approaching the database limit. This can lead to performance issues or even prevent the loading of data if the limit is exceeded. Here’s a breakdown of the cause, potential solutions, and related information:

    Cause:

    1. Data Volume: The primary cause of this error is that the volume of data being loaded into the fact table is large, and the estimated size is nearing the maximum allowed size for the database.
    2. Database Limitations: Different databases have different limits on the size of tables. For example, some databases may have a limit of 2 GB, while others may support larger sizes.
    3. Data Model Design: Inefficient data modeling or not properly archiving old data can lead to excessive growth in the size of fact tables.

    Solutions:

    1. Data Archiving: Implement data archiving strategies to remove old or less frequently accessed data from the fact table. This can help reduce the size of the table.
    2. Partitioning: Consider partitioning the fact table if your database supports it. This can help manage large datasets more effectively and improve performance.
    3. Data Compression: Use data compression techniques if supported by your database. This can help reduce the physical size of the data stored.
    4. Review Data Model: Analyze the data model to ensure that it is optimized. Remove unnecessary fields or aggregates that may be contributing to the size.
    5. Increase Database Limits: If possible, consider upgrading your database or changing configurations to allow for larger table sizes. Consult your database administrator for options.
    6. Load Data in Batches: If applicable, load data in smaller batches to avoid hitting the size limit during data loads.

    Related Information:

    • Database Documentation: Refer to the documentation of your specific database (e.g., Oracle, SQL Server, HANA) for details on table size limits and best practices for managing large tables.
    • SAP Notes: Check SAP Notes for any specific recommendations or patches related to this error message. SAP frequently updates its knowledge base with solutions for common issues.
    • Performance Monitoring: Regularly monitor the performance and size of your fact tables to proactively manage data growth and avoid hitting limits in the future.

    By addressing the underlying causes and implementing the suggested solutions, you can mitigate the risk of encountering this error in the future.

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