We’re encountering timeout errors when trying to export budgeting reports from Analytics Workspace in SAP S/4HANA 2020. The issue occurs specifically with our annual budget reports that contain large datasets spanning multiple cost centers and fiscal periods.
When users attempt to export these reports to Excel, the export process starts but then fails after approximately 10-12 minutes with a timeout error. The Analytics Workspace shows a generic error message without much detail. Smaller reports with limited data export successfully, but our comprehensive budget reports covering 200+ cost centers across 12 months consistently fail.
The timeout seems to be related to the size of the dataset being processed. We’ve tried breaking down the reports into smaller chunks, but this defeats the purpose of having consolidated budget views. The system logs show memory allocation warnings during the export process.
Has anyone successfully exported large budget datasets from Analytics Workspace in 2020? Are there configuration parameters we should adjust to handle larger exports?
This is likely hitting the ICM timeout parameter. Check parameter icm/server_port_ timeout setting in transaction RZ11. Default is often 600 seconds (10 minutes) which matches your failure timing. You can increase it, but be careful not to set it too high as it affects all HTTP connections.
We had the exact same issue with large dataset exports in Analytics Workspace. The problem isn’t just the ICM timeout - it’s also the query execution timeout and the Excel export memory limits. You need to adjust multiple parameters:
In Analytics Workspace settings, increase the query execution timeout (default 600 seconds). Also check the parameter rsadmin/max_exp_cells which limits the number of cells that can be exported. For large budget reports, you might be hitting this limit before the timeout even occurs. Try setting it to 5000000 or higher.
Another approach is to optimize the query itself. If your budget report is pulling data from multiple joined tables with complex calculations, the query execution time might be the bottleneck rather than the export process. Review the query definition in Analytics Workspace and check if you can add filters or aggregations at the database level rather than post-processing. Sometimes using materialized views or pre-aggregated data can reduce the export dataset size significantly without losing information.