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© 2026 — Integration TrailsContent — CC BY-NC-SA | Code — MIT LicenseVER:2026-08-11-72a9b56
Challenges/parse-sap-orders05-idoc-to-normalized-json·DataWeave·ADVANCED
DataWeaveADVANCED

Parse SAP ORDERS05 IDoc to Normalized JSON

Parse deeply nested SAP ORDERS05 IDoc XML into a normalized JSON structure for REST API consumption. You will learn to navigate specific IDoc segments (E1EDK01, E1EDP01) using DataWeave selectors, rely on inherent null-safety for optional fields, and utilize dynamic selectors (`@`, `mapObject`) to map XML segment attributes without hardcoding field names.

#sap#xml#mapObject
BY @patryk_bandurski
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%dw 2.0
output application/json
---
payload
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The fastest way
to learn integration.

01.
Production payloads
Real CSV/JSON/XML you'll meet on day one — null fields, mixed casing, partial records.
02.
Design problems
What practitioners actually solve — null-safety, idempotency, retries, batch boundaries.
03.
Edge cases that break
Empty arrays, type coercion, deeply nested transforms, locale-specific dates.
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CHALLENGES
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// WHAT YOU'LL BUILDHOW IT WORKS ↓
01.
Live DataWeave editor
Real DWL 2.0 IDE with helpers, modules, syntax highlighting.
02.
Test cases run on real runner
Same Go runner used in prod. Diffs show exactly which fields fail.
03.
3 graded attempts
Submit when you're ready. Score persists. Solution unlocks after pass or last attempt.
04.
Helpers & multi-module DWL
Bring in reusable %dw modules. Import, export, compose.
05.
XP & leaderboard
Points + XP awarded per challenge. Trail progress synced.
06.
Production-style payloads
Real CSV/JSON/XML — null fields, mixed casing, partial records.