Kafka - Advanced Stream Processing
You want to build a Kafka Streams application that updates user balances exactly once, even if failures occur. Which approach ensures this behavior?
You want to build a Kafka Streams application that updates user balances exactly once, even if failures occur. Which approach ensures this behavior?
hard📝 Application Q15 of 15
Step-by-Step Solution
Solution:
Step 1: Understand exactly-once requirements
Exactly-once needs atomic commit of data and offsets to avoid duplicates or loss.Step 2: Match approach to requirements
Using idempotent producer with transactions and atomic offset commits ensures exactly-once updates.Final Answer:
Use idempotent producer with transactions and commit offsets atomically. -> Option CQuick Check:
Idempotent + transactions + atomic commit = exactly-once [OK]
Quick Trick: Atomic commit with idempotent producer ensures exactly-once [OK]
Common Mistakes:
- Relying on retries without transactions causes duplicates
- Using multiple producers without coordination breaks exactly-once
- Not committing offsets leads to message reprocessing
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