How To Fix KE/AD339 - &1 line items built for posting in &2 seconds

KE/AD339 - Overview

• Message type: E = Error

• Message class: KE/AD -

• Message number: 339

• Message text: &1 line items built for posting in &2 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 KE/AD339 - &1 line items built for posting in &2 seconds ?

  The SAP error message KE/AD339 indicates that there are a certain number of line items that have been built for posting in a specified amount of time. This message is typically related to the performance of the system when processing large volumes of data in the Controlling (CO) module, particularly during the execution of certain transactions or reports.
  
  Cause:
  
  High Volume of Data: The error often occurs when there is a large volume of line items being processed, which can lead to performance issues.
  System Performance: The underlying cause may be related to system performance, such as insufficient hardware resources (CPU, memory, etc.) or database performance issues.
  Inefficient Queries: Inefficient queries or reports that are not optimized can lead to longer processing times.
  Lock Contention: If multiple users or processes are trying to access the same data simultaneously, it can lead to delays in processing.
  
  
  Solution:
  
  Optimize Queries: Review and optimize the queries or reports that are