How To Fix /SAPAPO/RSP01155 - The maximum number of time series has been reached

SAP Error Message - Details

• Message type: E = Error

• Message class: /SAPAPO/RSP01 -

• Message number: 155

• Message text: The maximum number of time series has been reached

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 /SAPAPO/RSP01155 - The maximum number of time series has been reached ?

  The SAP error message /SAPAPO/RSP01155 indicates that the maximum number of time series has been reached in the SAP Advanced Planning and Optimization (APO) system. This typically occurs when the system has hit a limit on the number of time series that can be created or processed, which can affect planning and forecasting activities.
  Cause:
  
  
  Limit Reached: Each APO system has a predefined limit on the number of time series that can be created. This limit can be reached due to:
  
  Excessive creation of time series for different planning objects.
  Accumulation of historical data or planning data that generates new time series.
  Configuration settings that allow for too many time series to be generated.
  
  
  
  Configuration Issues: Incorrect configuration settings in the APO system can lead to the creation of unnecessary or redundant time series.
  
  
  Data Model Complexity: A complex data model with many planning objects and characteristics can lead to a higher number of time series being generated.
  
  
  Solution:
  
  
  Review and Clean Up Time Series:
  
  Identify and delete any unnecessary or obsolete time series that are no longer in use. This can be done through transaction codes like /SAPAPO/TSM (Time Series Management).
  Regularly monitor and maintain the time series to prevent reaching the limit.
  
  
  
  Increase the Limit:
  
  If necessary, consult with your SAP Basis or system administrator to see if the limit on the number of time series can be increased. This may involve adjusting system parameters or configurations.
  
  
  
  Optimize Data Model:
  
  Review the data model and planning objects to ensure that only necessary time series are being created. Simplifying the model can help reduce the number of time series.
  
  
  
  Check Configuration Settings:
  
  Review the configuration settings in the APO system to ensure they are optimized for your business needs. This includes settings related to planning areas, key figures, and characteristics.
  
  
  
  Consult SAP Notes:
  
  Check for any relevant SAP Notes that may provide additional guidance or patches related to this error. SAP Notes can often provide solutions or workarounds for specific issues.
  
  
  
  Related Information:
  
  Transaction Codes: Familiarize yourself with relevant transaction codes such as /SAPAPO/TSM for managing time series and /SAPAPO/MC62 for checking planning areas.
  Documentation: Review SAP documentation related to time series management in APO for best practices and guidelines.
  Performance Monitoring: Implement regular monitoring of system performance and time series usage to proactively manage the limits.
  
  If the issue persists after trying the above solutions, it may be beneficial to engage SAP support for further assistance.