How To Fix EHPRC_RCS_TOOL290 - Row size of remote database table &1 is larger than &3 bytes


SAP Error Message - Details

  • Message type: E = Error

  • Message class: EHPRC_RCS_TOOL -

  • Message number: 290

  • Message text: Row size of remote database table &1 is larger than &3 bytes

  • Show details Hide details
  • What causes this issue?

    You want to execute the data migration report. However, the row size of
    remote database table &V1& exceeds the data buffer capacity &V3&.

    System Response

    The report cannot convert the database table to the destination database
    table.

    How to fix this error?

    Use Transaction <LS>SE16N </>to copy the contents of the database table
    to the destination database table.
    You can omit this restriction of the remote access if you convert data
    locally only (the source data is located on the local system).

    Procedure for System Administrators

    The system issues an error message and will not allow you to continue with this transaction until the error is resolved.


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message EHPRC_RCS_TOOL290 - Row size of remote database table &1 is larger than &3 bytes ?

    The SAP error message EHPRC_RCS_TOOL290 indicates that the row size of a remote database table exceeds the maximum allowed size. This typically occurs in scenarios involving remote database connections, such as when using SAP Landscape Management (LaMa) or when working with SAP HANA and other databases.

    Cause:

    The error is caused by the fact that the total size of the columns in a row of the specified remote database table exceeds the limit set by the database system. Different databases have different maximum row sizes, and this error suggests that the row size for the table in question is larger than the allowed limit (denoted by &3 in the error message).

    Solution:

    To resolve this issue, you can consider the following approaches:

    1. Review Table Structure:

      • Check the structure of the remote database table (&1 in the error message) to identify which columns are contributing to the large row size.
      • Consider reducing the size of certain columns, especially those that are VARCHAR or similar types, if they are unnecessarily large.
    2. Normalization:

      • If the table design allows, consider normalizing the database schema. This involves breaking down large tables into smaller, related tables to reduce the row size.
    3. Data Type Optimization:

      • Change data types to more efficient ones. For example, if you are using TEXT or LONG VARCHAR, consider switching to VARCHAR with a defined length that is sufficient for your data.
    4. Database Configuration:

      • Check if there are any database configuration settings that can be adjusted to allow for larger row sizes, but this is often not recommended as it can lead to other issues.
    5. Partitioning:

      • If applicable, consider partitioning the table to manage large datasets more effectively.
    6. Consult Documentation:

      • Refer to the documentation of the specific database you are using to understand its limitations and best practices for table design.
    7. SAP Notes:

      • Check the SAP Support Portal for any relevant SAP Notes that may address this specific error or provide additional guidance.

    Related Information:

    • Database Limits: Each database system has its own limits for row sizes. For example, in Oracle, the maximum row size is typically 8,000 bytes, while in SQL Server, it can be up to 8,060 bytes for fixed-length data types.
    • Performance Considerations: Large row sizes can lead to performance issues, so it's generally a good practice to keep row sizes manageable.
    • Testing Changes: After making any changes to the table structure or data types, ensure to test thoroughly to confirm that the application behaves as expected.

    If the issue persists after trying the above solutions, it may be beneficial to engage with SAP support or a database administrator for further assistance.

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