How To Fix SDMI412 - - Limit of maximum paralallization of &1 is reached: &2

SAP Error Message - Details

• Message type: E = Error

• Message class: SDMI - Messages of SDMI

• Message number: 412

• Message text: - Limit of maximum paralallization of &1 is reached: &2

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 SDMI412 - - Limit of maximum paralallization of &1 is reached: &2 ?

  The SAP error message SDMI412 indicates that the maximum limit of parallel processing for a specific operation has been reached. This typically occurs in the context of data processing or background job execution in the SAP system, particularly in the Sales and Distribution (SD) module.
  Cause:
  The error message SDMI412 is triggered when the system attempts to execute more parallel processes than the defined limit for a particular task. This can happen due to:
  
  High Volume of Data: If there is a large volume of data being processed, the system may try to spawn more parallel jobs than allowed.
  Configuration Settings: The maximum parallelization limit is set in the system configuration, and it may be too low for the current workload.
  System Resources: Limited system resources (CPU, memory) can also lead to this error if the system cannot handle more parallel processes.
  
  Solution:
  To resolve the SDMI412 error, you can consider the following solutions:
  
  
  Increase Parallelization Limit:
  
  Check the configuration settings for the maximum parallelization limit for the specific task. This can usually be done in the transaction code related to the specific process (e.g., transaction codes like SPRO for configuration).
  Increase the limit if the system resources allow for it.
  
  
  
  Optimize Data Processing:
  
  If possible, reduce the volume of data being processed in a single run. This can be done by splitting the data into smaller batches.
  Schedule jobs during off-peak hours to reduce the load on the system.
  
  
  
  Monitor System Resources:
  
  Use transaction codes like SM37 to monitor background jobs and check for any resource bottlenecks.
  Ensure that the system has adequate resources (CPU, memory) to handle the required parallel processes.
  
  
  
  Review Job Scheduling:
  
  If the error occurs during job scheduling, review the job definitions and ensure that they are set up correctly to avoid exceeding the parallelization limits.
  
  
  
  Consult SAP Notes:
  
  Check for any relevant SAP Notes that may provide additional insights or patches related to this error message.
  
  
  
  Related Information:
  
  Transaction Codes: Familiarize yourself with transaction codes like SM37 (to monitor jobs), SPRO (to access configuration settings), and SM21 (to check system logs).
  SAP Documentation: Refer to the official SAP documentation for detailed information on parallel processing limits and configuration settings.
  Performance Tuning: Consider performance tuning of the SAP system to improve overall efficiency and reduce the likelihood of hitting parallelization limits.
  
  If the issue persists after trying the above solutions, it may be beneficial to consult with your SAP Basis team or SAP support for further assistance.