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Oracle Integration Cloud: Building Integrations That Survive Production · Module 9 · Idempotency and duplicate prevention

What breaks: three duplicate scenarios

Lesson 100 of 175 · 2 min

Three duplicate scenarios, and none of them involves anything going wrong. ONE: A TIMEOUT RETRIED. The call timed out, the work had completed, the retry created a second record. Both systems behaved correctly, and the supplier is owed the money twice. This is the one that produces the largest single duplicate, because it happens on the individually important transactions rather than in bulk. TWO: A PARTNER WHO RESENT THE SAME FILE WITH A NEW NAME. They had an outage and were not sure the first arrived. File-level protection does not help — the name is different, so it is a new file by every check you have. Only record-level idempotency catches this, and it is the clearest argument for it: you cannot control what a partner sends or what they call it. THREE: AN OPERATOR RESUBMITTING AN INSTANCE THAT HAD ALREADY PARTLY POSTED. Entirely reasonable — the run showed as

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In this module: Module 9 · Idempotency and duplicate prevention

  1. 1Why every integration is retriedFree preview
  2. 2What idempotency means here
  3. 3Choosing a correlation key
  4. 4Where to enforce it
  5. 5When the target has no natural key
  6. 6Timeouts: the ambiguous outcome
  7. 7Idempotency across a whole file
  8. 8What breaks: three duplicate scenarios
  9. 9Lab briefing · Make a payment flow safe to retry