How To Fix SODQ303 - Request &1 cannot be completed because extraction is still running

SODQ303 - Overview

• Message type: E = Error

• Message class: SODQ - Operational Delta Queue

• Message number: 303

• Message text: Request &1 cannot be completed because extraction is still running

What causes this issue?

You are trying to close a request while extraction is still running or
extraction has not been started.

System Response

Requests can only be closed if the extraction process has been completed
or if an error occurred.

How to fix this error?

If you do not want to wait for the extraction process to be completed
normally, you can can terminate the background job of the extraction
request and close the request. Select the background job in the job
management screen. If the job still has the "planned status", delete the
job from the database, or cancel the job if it is active. Return to the
delta queue request monitoring screen and close the request.

Procedure for System Administrators

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message SODQ303 - Request &1 cannot be completed because extraction is still running ?

  The SAP error message SODQ303 indicates that a request cannot be completed because an extraction process is still running. This typically occurs in the context of data extraction processes, such as those involving SAP Data Services, SAP BW (Business Warehouse), or other data extraction tools.
  
  Cause:
  
  Ongoing Extraction Process: The most common cause of this error is that a data extraction request is currently in progress. This means that the system is still processing the data extraction, and any new requests for the same data cannot be executed until the current extraction is completed.
  Locking Mechanism: SAP uses a locking mechanism to prevent data inconsistencies. If a request is being processed, it locks the relevant data, preventing other requests from being executed simultaneously.
  Long-running Queries: Sometimes, the extraction process may take longer than expected due to large data volumes, complex queries, or performance issues.
  
  
  Solution:
  
  Wait for Completion: The simplest solution is to wait for the