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Status Planned for future release
Workspace Planning Analytics
Created by Guest
Created on Nov 17, 2025

Server Logs - Increase number of lines to display and download - Planning Analytics as a Service

Hello,

To reach the server logs in Planning Analytics as a Service, we need to access to the database in Planning Analytics Workspace (in a workbench). We have then a tab opened for server logs where we can either filter the lines to display or download the lines displayed.

The difficulty we are facing is when filtering on a period with a number of lines corresponding beyond the limit of 2000 lines.

We have then only a part of the lines expected for the filter applied. When trying to download, we note that the same 2000 lines are downloaded instead of all the lines expected for the filter applied.

It would be great if we could :

  • Increase the limit of 2000 lines displayed and have a message when the limit is reached.
  • Download server logs without limit of lines, with a confirmation box informing of the number of lines about to be downloaded.

Regards,

Erwann Ruiz Perdomo

 

Needed By Yesterday (Let's go already!)
  • Admin
    Stuart King
    Aug 24, 2026

    @Guest Improved searching and filtering for the TM1 server log content in PA SaaS is on the near term roadmap. This will include filtering based on log type, and searching for specific words. Note that you can already configure the log view to return up to 5000 rows.

  • Guest
    Aug 24, 2026

    +1!

    We would also like to highlight another related aspect of this enhancement.

    Increasing the 2,000-line limit is important, but for large Planning Analytics environments it would be even more valuable if the available log data could be searched and filtered efficiently on the server side, rather than simply displaying a larger number of entries.

    In addition to the Logger Name filter requested in PAOC-I-2074, a full-text search would be very useful for troubleshooting specific issues.

    For example, an administrator could search for:

    ExecuteProcess

    or:

    insufficient memory

    and combine this with filters such as:

    Logger Name = TM1.API
    Log Level = ERROR
    Time Range = 09:00–09:30

    This would allow administrators to quickly identify the relevant entries without manually reviewing thousands of unrelated log messages.

    We have therefore also submitted a separate enhancement request for full-text search and advanced filtering of Planning Analytics Server Logs.

    In our view, these enhancements complement each other:

    • CPDIDEAS-I-3031 → provide access to the complete relevant log data

    • PAOC-I-2074 → allow filtering by Logger Name

    • Advanced Log Search → allow administrators to search and analyze the actual log content

    Together, these improvements would make the Server Logs interface a much more effective troubleshooting tool, particularly for larger and high-activity Planning Analytics environments.

    The ability to download the filtered/search results would also be a valuable addition, as it would allow administrators to share only the relevant log information when working on support cases.

  • Guest
    Aug 10, 2026

    We are facing a similar limitation when troubleshooting Planning Analytics Server logs.

    The 2,000-line limit makes it difficult to investigate issues in environments with a high volume of log entries. In addition, the current Server Logs interface does not allow filtering by Logger Name (e.g. TM1.Process, TM1.Cube, TM1.API).

    We have therefore submitted a separate enhancement request to add Logger Name filtering to the Server Logs interface, as this would make it much easier to isolate relevant messages when troubleshooting:

    PAOC-I-2074 – Add Logger Name Filter to Planning Analytics Server Logs

    Both enhancements would significantly improve the usability of the Server Logs for troubleshooting: increasing the number of available log entries would provide access to the complete relevant log data, while Logger Name filtering would allow administrators to quickly narrow down the data to the relevant Planning Analytics component.