How To Fix RSDA_SDB022 - &3 data records written as data package &1 in proxy table &2

SAP Error Message - Details

• Message type: E = Error

• Message class: RSDA_SDB - Messages for near-line reference implementation for MaxDB

• Message number: 022

• Message text: &3 data records written as data package &1 in proxy table &2

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.

Unfortunately, there isn't any extra information in this error notice.

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Smart SAP Assistant

• What is the cause and solution for SAP error message RSDA_SDB022 - &3 data records written as data package &1 in proxy table &2 ?

  The SAP error message RSDA_SDB022 typically relates to issues encountered during the data extraction process in SAP Data Services or SAP BW (Business Warehouse) when working with data packages and proxy tables. This message indicates that a certain number of data records have been written to a proxy table, but there may be an issue that needs to be addressed.
  Cause:
  
  Data Extraction Issues: The error can occur due to problems in the data extraction process, such as incorrect data formats, missing data, or issues with the source system.
  Configuration Problems: There may be misconfigurations in the data flow or the settings of the data source or target.
  Performance Issues: If the system is under heavy load, it may not be able to process the data efficiently, leading to errors.
  Data Quality Issues: Inconsistent or invalid data in the source can lead to failures during the extraction process.
  
  Solution:
  
  Check Data Source: Verify the integrity and format of the data in the source system. Ensure that there are no missing or corrupt records.
  Review Configuration: Check the configuration settings for the data extraction process. Ensure that all parameters are set correctly and that the data flow is properly defined.
  Monitor System Performance: Look at system performance metrics to see if there are any bottlenecks. If the system is overloaded, consider scheduling data extraction during off-peak hours.
  Error Logs: Review the error logs for more detailed information about the specific records that caused the issue. This can provide insights into what went wrong.
  Data Quality Checks: Implement data quality checks to ensure that the data being extracted meets the required standards.
  
  Related Information:
  
  SAP Notes: Check SAP Notes for any known issues or patches related to this error message. SAP frequently updates its knowledge base with solutions to common problems.
  Documentation: Refer to the official SAP documentation for Data Services or BW for best practices on data extraction and handling errors.
  Community Forums: Engage with the SAP community forums or support channels to see if other users have encountered similar issues and how they resolved them.
  
  If the problem persists after trying the above solutions, it may be necessary to involve SAP support for further assistance.