How To Fix RSL_UI220 - The provider analysis has already been running for longer than &1 seconds

RSL_UI220 - Overview

• Message type: E = Error

• Message class: RSL_UI -

• Message number: 220

• Message text: The provider analysis has already been running for longer than &1 seconds

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 RSL_UI220 - The provider analysis has already been running for longer than &1 seconds ?

  The SAP error message RSL_UI220 indicates that a provider analysis has been running for longer than a specified time limit (denoted by &1 seconds). This typically occurs in the context of SAP BW (Business Warehouse) or SAP HANA when a query or data analysis process takes too long to execute, leading to a timeout.
  
  Cause:
  
  Long-Running Queries: The query being executed may be complex or involve large datasets, causing it to exceed the predefined execution time limit.
  Performance Issues: There may be performance bottlenecks in the database or application server, such as insufficient resources (CPU, memory, etc.) or inefficient query design.
  Locks or Contention: Other processes may be locking the data or causing contention, leading to delays in query execution.
  Network Latency: If the data is being fetched from a remote source, network issues could contribute to longer execution times.
  
  
  Solution:
  
  
  Optimize the Query: Review and optimize the query to ensure it runs more efficiently. This may