How To Fix RSDD720 - &2 table: block characteristic &3, number of blocks: &4


RSDD720 - Overview

  • Message type: E = Error

  • Message class: RSDD - Message class for data manager

  • Message number: 720

  • Message text: &2 table: block characteristic &3, number of blocks: &4

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  • What causes this issue?

    The number of records in the &V2&- table of the source is larger than
    the parameter BLOCKSIZE in table RSADMINC. For this reason, aggregates
    must be constructed block by block. To do so, a characteristic with
    sufficient values is selected from the aggregate or the source. These
    values are then distributed into blocks. Read and write access then
    always takes place on an individual block level.
    Block characteristic: &V3&.
    Number of blocks: &V4&
    Note: If the selected block characteristic has a very uneven data
    distribution, it may be that the blocks are larger than specified by the
    BLOCKSIZE parameter.

    System Response

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

    How to fix this error?

    Procedure for System Administrators


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message RSDD720 - &2 table: block characteristic &3, number of blocks: &4 ?
    The SAP error message RSDD720 typically relates to issues with the data model in SAP BW (Business Warehouse) or SAP BW/4HANA, specifically concerning the characteristics and their blocks in the InfoProvider. This error indicates that there is a problem with the data loading process, particularly with the characteristics that are being blocked.
    
    Cause: Blocked Characteristics: The error message indicates that certain characteristics are blocked, which means that they cannot be processed or loaded due to various reasons such as: The characteristics are not properly defined in the InfoObject. There are inconsistencies in the data model or the data itself. The data load process is encountering issues with the data source or transformation rules. Data Model Issues: There may be issues with the data model, such as incorrect settings or configurations in the InfoProvider or InfoObject. Data Integrity Issues: There may be data integrity issues, such as missing or incorrect data in the source system that is causing

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