How To Fix RSWWW014 - Chart "&1": DataProvider contains too much data


RSWWW014 - Overview

  • Message type: E = Error

  • Message class: RSWWW - Messages for BW Web Reporting

  • Message number: 014

  • Message text: Chart "&1": DataProvider contains too much data

  • Show details Hide details
  • What causes this issue?

    The data provider "&V2&" belonging to chart '&V1&' has too much data.

    System Response

    The chart "&V1&" cannot be displayed.

    How to fix this error?

    Only those charts are displayed that can be displayed effectively.
    Increase the height or width of the chart or rearrange the data
    provider "&V2&" so that it delivers less data.

    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 RSWWW014 - Chart "&1": DataProvider contains too much data ?
    The SAP error message RSWWW014, which states "Chart '&1': DataProvider contains too much data," typically occurs in SAP BusinessObjects or SAP BW when a chart or visualization is trying to process a dataset that exceeds the limits set for data retrieval or rendering. This can happen in various scenarios, such as when the dataset is too large for the visualization component to handle efficiently.
    
    Cause: Excessive Data Volume: The dataset being retrieved for the chart is too large, exceeding the limits set by the system or the visualization component. Inefficient Queries: The underlying query may be pulling in more data than necessary, possibly due to a lack of filters or aggregations. Performance Limitations: The system may have performance limitations that prevent it from processing large datasets effectively. Configuration Settings: There may be configuration settings in the SAP system that limit the amount of data that can be processed for visualizations.
    Solution: Reduce Data Volume: Apply Filters: Use filters

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