DataWeaveINTERMEDIATE
Group Inventory Items by Warehouse for WMS Report
Transform a flat array of inventory line items — each carrying a warehouse code, SKU, and quantity — into a grouped summary object keyed by warehouse, with total quantity aggregated per location. You will practice `groupBy` for structural reshaping and `reduce` for numeric aggregation within each group. This pattern appears wherever a target system (WMS, ERP, or BI tool) requires data pre-organized by a dimension before it can ingest or render it correctly.
#rest-api#dwl::core
// Be first to rate this challenge!SCROLL TO READ ↓
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.
…
CHALLENGES
…
MODULES
// Free forever · No credit card
Sign up.
Then code.
Free accounts get 3 attempts per challenge, full XP, and your trail progress synced across devices.
// 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.