SAP regression data
Build a repeatable SAP test-data workflow from reviewed metadata and samples.
Start with a sandbox SAP integration and a known test entity. Confirm the workflow's expected result before generating or writing records.
Prepare
- Inspect the entity metadata, required properties and relationships.
- Choose synthetic generation or a bounded source sample. If using source values, define and review masking rules.
- Create or select a template and generate a small sample.
- Check the payload against the endpoint's expected object shape and SAP business rules.
A useful initial request is:
Inspect the Business Partner entity in our S/4 sandbox and propose a template for ten test partners. Show required fields, relationships and unresolved values before writing records.
Deliver and verify
Approve the intended target and volume where requested. The SAP export tool takes one record object per call. Inspect each outcome and capture created keys so cleanup and reconciliation can identify the records later.
Check parent-child links and target-side validation. Do not assume that a completed generation or HTTP wrapper response means SAP accepted the records.
Make it repeatable
Save the reviewed workflow as a scenario, inspect its code and environment variables, and test a rerun for duplicates. Trigger it from CI using POST /scenarios/execute and the bounded polling workflow.
For larger migration-style work, use a reviewed mapping plan and supported data jobs with key-map and reconciliation evidence.