How To Fix FINS_ML_ACDOCA_UTIL003 - Parallel precompacting processing: Task reply error.

SAP Error Message - Details

• Message type: E = Error

• Message class: FINS_ML_ACDOCA_UTIL - Messages for XPRA

• Message number: 003

• Message text: Parallel precompacting processing: Task reply error.

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 FINS_ML_ACDOCA_UTIL003 - Parallel precompacting processing: Task reply error. ?

  The SAP error message FINS_ML_ACDOCA_UTIL003 indicates an issue related to parallel processing during the precompacting of the ACDOCA table, which is part of the Universal Journal in SAP S/4HANA. This error typically arises when there are problems with the background jobs that are responsible for processing data in parallel, often due to resource constraints or configuration issues.
  Causes:
  
  Resource Limitations: The system may not have enough resources (CPU, memory) to handle the parallel processing tasks.
  Configuration Issues: Incorrect settings in the background job configuration or in the system parameters can lead to this error.
  Database Locking: If there are locks on the ACDOCA table or related tables, it can prevent the parallel tasks from completing successfully.
  Data Consistency Issues: Inconsistencies in the data being processed can lead to failures in the parallel tasks.
  System Performance: High load on the system can cause timeouts or failures in processing.
  
  Solutions:
  
  Check System Resources: Monitor the system's CPU and memory usage. If resources are low, consider increasing them or scheduling the job during off-peak hours.
  Review Job Configuration: Ensure that the background job settings are correctly configured. Check the parameters for parallel processing and adjust them if necessary.
  Database Locks: Use transaction codes like SM12 to check for locks on the ACDOCA table. If locks are found, investigate the source of the locks and resolve them.
  Data Consistency Check: Run consistency checks on the data in the ACDOCA table to ensure there are no issues. You can use transaction codes like SE11 or SE16 to analyze the data.
  Increase Timeout Settings: If the error is due to timeouts, consider increasing the timeout settings for the background jobs.
  Check SAP Notes: Look for any relevant SAP Notes that may address this specific error. SAP frequently releases updates and patches that can resolve known issues.
  Consult SAP Support: If the issue persists, consider reaching out to SAP Support for assistance. They can provide more specific guidance based on your system configuration and logs.
  
  Related Information:
  
  Transaction Codes: 
  
  SM37: To monitor background jobs and check their status.
  SM12: To check for locks on database tables.
  ST22: To check for dumps that may provide more insight into the error.
  
  
  SAP Notes: Search for relevant SAP Notes in the SAP Support Portal that may provide fixes or workarounds for this error.
  Documentation: Review the SAP S/4HANA documentation for best practices on managing the ACDOCA table and parallel processing.
  
  By following these steps, you should be able to diagnose and resolve the error message FINS_ML_ACDOCA_UTIL003 effectively.