DataWeaveELEMENTARY
Map Shipment Query Results to System API Response
Veridian Logistics exposes a System API that serves active shipment records to internal consumers. The Database Select returns rows in Oracle's legacy UPPERCASE_UNDERSCORE column format — your task is to map each row into a clean JSON object with correctly named fields, a formatted timestamp, and safe handling of two nullable columns. This is one of the most common transformation patterns in Mule: reshaping a raw JDBC result set before it leaves the flow.
#oracle-db#jdbc#rest-api
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The fastest way
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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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MODULES
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01.
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02.
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03.
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04.
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05.
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06.
Production-style payloads
Real CSV/JSON/XML — null fields, mixed casing, partial records.