How To Fix APB_FPM_GUIBB202 - Chart cannot be rendered: Too much data (&1 key combinations)

SAP Error Message - Details

• Message type: E = Error

• Message class: APB_FPM_GUIBB -

• Message number: 202

• Message text: Chart cannot be rendered: Too much data (&1 key combinations)

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 APB_FPM_GUIBB202 - Chart cannot be rendered: Too much data (&1 key combinations) ?

  The SAP error message "APB_FPM_GUIBB202 Chart cannot be rendered: Too much data (&1 key combinations)" typically occurs when a chart or graphical representation in an SAP application is trying to process too much data at once. This can lead to performance issues or rendering failures, as the system is unable to handle the volume of data being requested.
  Cause:
  
  Excessive Data Volume: The primary cause of this error is that the dataset being used to generate the chart exceeds the limits set by the application or the capabilities of the rendering engine.
  Key Combinations: The error message indicates that there are too many key combinations (as specified by the &1 placeholder), which means that the data being processed has too many unique identifiers or dimensions.
  Configuration Issues: Sometimes, the configuration of the chart or the underlying data model may not be optimized for handling large datasets.
  
  Solution:
  
  
  Data Reduction:
  
  Filter Data: Apply filters to reduce the amount of data being processed. This can be done by limiting the date range, specific categories, or other relevant criteria.
  Aggregation: Instead of displaying detailed data, consider aggregating the data to a higher level (e.g., monthly instead of daily).
  
  
  
  Pagination: If applicable, implement pagination or lazy loading techniques to load data in smaller chunks rather than all at once.
  
  
  Chart Configuration:
  
  Review the chart configuration settings to ensure they are optimized for performance. This may include adjusting the number of data points displayed or changing the type of chart used.
  Check if there are settings that limit the maximum number of key combinations that can be processed.
  
  
  
  Performance Tuning:
  
  Analyze the underlying data model and optimize it for better performance. This may involve indexing, partitioning, or other database optimization techniques.
  Ensure that the system has adequate resources (CPU, memory) to handle large datasets.
  
  
  
  SAP Notes and Support: Check for any relevant SAP Notes or patches that may address this issue. Sometimes, SAP releases updates that improve performance or fix bugs related to data rendering.
  
  
  Consult Documentation: Review the official SAP documentation for the specific application or module you are using to see if there are any recommended practices for handling large datasets in charts.
  
  
  Related Information:
  
  SAP Fiori Elements: If you are using SAP Fiori applications, consider the guidelines provided for Fiori Elements regarding data handling and performance.
  SAP Community: Engage with the SAP Community forums to see if other users have encountered similar issues and what solutions they have found.
  Performance Monitoring Tools: Utilize SAP's performance monitoring tools to analyze the performance of your queries and data processing.
  
  By following these steps, you should be able to address the error and improve the performance of your SAP application when rendering charts.