How To Fix LTR2_ANA2098 - Maximum number of parallel jobs set with &1

LTR2_ANA2098 - Overview

• Message type: E = Error

• Message class: LTR2_ANA2 - LTR2 Analysis Messages

• Message number: 098

• Message text: Maximum number of parallel jobs set with &1

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 LTR2_ANA2098 - Maximum number of parallel jobs set with &1 ?

  The SAP error message LTR2_ANA2098 indicates that the maximum number of parallel jobs has been reached, which is set to a specific limit (denoted by &1). This error typically occurs in the context of data processing tasks, such as data extraction, transformation, or loading (ETL) processes, particularly when using SAP Landscape Transformation (SLT) or SAP Data Services.
  
  Cause:
  The error is caused by the system reaching the configured limit for concurrent jobs that can be executed in parallel. This limit is set to prevent system overload and ensure that resources are managed effectively. When the number of jobs trying to run simultaneously exceeds this limit, the system generates this error message.
  
  Solution:
  To resolve this issue, you can consider the following approaches:
  
  
  Increase the Maximum Number of Parallel Jobs:
  
  You can increase the limit for parallel jobs in the relevant configuration settings. This is typically done in the SLT configuration or the relevant data processing tool