Kafka - Advanced Stream Processing
You want to build a Kafka Streams application that processes user events but sends any malformed events to a separate topic without stopping the main stream. Which approach best achieves this?
You want to build a Kafka Streams application that processes user events but sends any malformed events to a separate topic without stopping the main stream. Which approach best achieves this?
hard📝 Application Q15 of 15
Step-by-Step Solution
Solution:
Step 1: Understand requirement to keep stream running
The stream must continue processing even if some events are bad.Step 2: Choose method to handle bad events
Using try-catch to catch errors and send bad events to a dead-letter topic allows this.Final Answer:
Use a try-catch inside the stream processor to send bad events to a dead-letter topic -> Option AQuick Check:
Try-catch + dead-letter topic = best error handling [OK]
Quick Trick: Try-catch plus dead-letter topic keeps stream healthy [OK]
Common Mistakes:
- Stopping stream on error instead of handling
- Ignoring bad data without saving for review
- Filtering bad data without storing it
Master "Advanced Stream Processing" in Kafka
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