SAP Transport Import Window Calculator
Release weekends overrun when the plan assumes every import works the first time. This calculator adds a re-import allowance and fixed post-import work, then tells you how many transport requests actually fit in the window.
Your numbers
Take the median from the STMS import history for similar requests.
Include return code 8 and 12 repeats, missing objects and ordering fixes.
Generation, buffer sync, smoke tests, background job restart.
Your results
Planning model. Imports run serially in a single queue in this model; parallel import tools and mass activation strategies change the numbers.
Total elapsed minutes vs number of requests
Sweeps Transport requests in the queue from 5 to 200, holding your other inputs fixed.
Automate release readiness checks
Talk through how to pull import history and queue status into a single read-only view. Optional.
Optional. The tool and every export work without this. No spam.
How to use it
Count the requests in the import queue for the target system. Use the median import duration from your own STMS import history rather than the best case, then add the share of requests that you expect to repeat. Enter the fixed work that happens regardless of request count, such as generation, buffer refresh and smoke testing. The tool reports total elapsed time, utilisation of your window and the maximum number of requests that fit.
- Use history for the same request types, workbench and customizing differ
- Large DDIC changes take far longer than a report change
- Keep at least 20 percent of the window as slack
- Sort the queue so dependent requests import in order
The arithmetic
Total time equals requests times average import time, plus the re-import share of that same product, plus the fixed post-import allowance. Window utilisation divides that by window minutes. The maximum fit formula solves the same equation for the request count: available minutes after the fixed work, divided by the effective minutes per request including expected repeats. It is deliberately simple so every term can be checked against the import log.
Worked example
60 requests at 3 minutes is 180 minutes. A 5 percent repeat rate adds 9 minutes. With 45 minutes of post-import work the total is 234 minutes, or about 65 percent of a 6 hour window. The maximum that fits is about 100 requests. If your history shows a 15 percent repeat rate and a 5 minute average because of table conversions, the same 60 requests take about 390 minutes, which does not fit, and the plan needs splitting across two windows.
Common mistakes
Teams often use the average of all imports, which hides long tail requests with table activation or conversion. Others forget that a failed import can block everything behind it in the queue. Also remember that application server load from batch jobs, or imports during period end, can lengthen every request. Use the chart to find the point where the plan starts to cross the window and agree a cut line with the change board in advance.
Frequently Asked Questions
Where do I find the average import time?
The STMS import history and the transport log show start and end times per request. Export them for the last few releases, filter to the same target system and use the median. Do not mix customizing and workbench requests with large conversions.
Does this work for parallel imports?
The model is serial. If you use parallel import options, divide the base import time by an effective parallelism you have measured, not the theoretical number, since dependencies and database locks reduce the gain.
What repeat rate should I assume?
Use your own last three releases. For a well-prepared release, a few percent is common. For first time imports into a new system or after a long freeze the rate can be much higher, so raise it.
Does it include testing time?
Only the fixed post-import allowance. Add business verification and regression testing to your overall plan separately, since they usually run after the import queue finishes and have their own sign-off.
If you want import histories analysed automatically from your own landscape, with the queries visible and no data leaving your network, Netray can discuss an on-prem assistant for Basis.
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