How To Fix RS_B4HPREP019 - DataSource &2(&3): Delta queue contains large data quantity (&1 blocks)

SAP Error Message - Details

• Message type: E = Error

• Message class: RS_B4HPREP - B4H Transfer Preparation Messages

• Message number: 019

• Message text: DataSource &2(&3): Delta queue contains large data quantity (&1 blocks)

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.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

Smart SAP Assistant

• What is the cause and solution for SAP error message RS_B4HPREP019 - DataSource &2(&3): Delta queue contains large data quantity (&1 blocks) ?

  The SAP error message RS_B4HPREP019 indicates that the delta queue for a specific DataSource contains a large quantity of data blocks. This can occur in SAP BW (Business Warehouse) when the delta queue is not processed efficiently, leading to a backlog of data that needs to be transferred.
  Cause:
  
  High Volume of Delta Data: The delta queue may have accumulated a large number of data blocks due to high transaction volumes or infrequent data extraction.
  Data Extraction Issues: There may be issues with the data extraction process, such as failed or delayed data loads, which can cause the delta queue to grow.
  System Performance: Performance issues in the source system or the BW system can lead to delays in processing the delta queue.
  Configuration Issues: Incorrect configuration of the DataSource or the delta mechanism can also contribute to this problem.
  
  Solution:
  
  
  Process the Delta Queue: 
  
  Manually trigger the delta load to process the data in the delta queue. This can be done using transaction codes like RSA7 (for monitoring the delta queue) and RSC3 (for processing the delta).
  
  
  
  Check for Errors: 
  
  Review the logs for any errors during the data extraction process. Use transaction SM37 to check for any failed jobs related to the DataSource.
  
  
  
  Monitor and Optimize Performance: 
  
  Analyze the performance of the source system and the BW system. Ensure that both systems have adequate resources (CPU, memory, etc.) to handle the data load.
  
  
  
  Adjust Delta Configuration: 
  
  Review the configuration of the DataSource and the delta mechanism. Ensure that it is set up correctly for the type of data being extracted.
  
  
  
  Schedule Regular Delta Loads: 
  
  If the delta queue is consistently large, consider scheduling more frequent delta loads to prevent the queue from growing too large.
  
  
  
  Data Cleanup: 
  
  If there are old or unnecessary data blocks in the delta queue, consider cleaning them up if they are no longer needed.
  
  
  
  Related Information:
  
  
  Transaction Codes:
  
  RSA7: Monitor delta queue.
  RSC3: Process delta queue.
  SM37: Monitor background jobs.
  
  
  
  SAP Notes: Check for any relevant SAP Notes that may address specific issues related to your version of SAP BW or the DataSource in question.
  
  
  Documentation: Refer to SAP documentation for best practices on managing delta queues and data extraction processes.
  
  
  By following these steps, you should be able to resolve the RS_B4HPREP019 error and manage the delta queue effectively.