How To Fix RS_MAPI_JSON113 - Error in minimum (value to small) at &

SAP Error Message - Details

• Message type: E = Error

• Message class: RS_MAPI_JSON - Generic JSON schema messages

• Message number: 113

• Message text: Error in minimum (value to small) at &

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 RS_MAPI_JSON113 - Error in minimum (value to small) at & ?

  The SAP error message RS_MAPI_JSON113 typically indicates that there is an issue with a minimum value being too small in a JSON processing context, particularly when dealing with data extraction or transformation in SAP systems. This error often arises in scenarios involving data services, APIs, or when working with JSON data formats.
  Cause:
  
  Data Type Mismatch: The error may occur if the data being processed does not meet the expected minimum value constraints defined in the system. For example, if a numeric field is expected to have a minimum value of 1, but the incoming data has a value of 0 or is negative, this error will be triggered.
  Configuration Issues: There may be configuration settings in the SAP system that define minimum values for certain fields, and if the incoming data does not comply with these settings, the error will occur.
  Data Quality Issues: The source data might contain invalid or unexpected values that do not conform to the defined schema or business rules.
  
  Solution:
  
  Check Data Values: Review the data being processed to ensure that all values meet the minimum requirements. If you find values that are too small, correct them at the source or transform them appropriately before processing.
  Review Configuration Settings: Check the configuration settings in the SAP system related to the data extraction or transformation process. Ensure that the minimum value constraints are correctly defined and align with the expected data.
  Data Validation: Implement data validation checks before processing the data to catch any values that do not meet the minimum requirements. This can help prevent the error from occurring in the first place.
  Error Handling: Enhance error handling in your data processing logic to gracefully manage situations where data does not meet the expected criteria, providing meaningful error messages or fallback mechanisms.
  
  Related Information:
  
  SAP Notes: Check SAP Notes and Knowledge Base Articles (KBAs) related to the specific error message for any patches, updates, or additional guidance provided by SAP.
  Documentation: Review the relevant SAP documentation for the specific module or functionality you are working with to understand the expected data formats and constraints.
  Community Forums: Engage with SAP community forums or support channels where other users may have encountered similar issues and can provide insights or solutions.
  
  If the problem persists after following these steps, consider reaching out to SAP support for further assistance, providing them with detailed information about the error context and the data being processed.