[Solved] You want to ensure that any records causing exceptions during Kafka Streams processing are redirected to a separate "error" topic without stopping... Which Kafka Streams pattern best supports this? | Kafka

Kafka - Advanced Stream Processing

You want to ensure that any records causing exceptions during Kafka Streams processing are redirected to a separate "error" topic without stopping the main stream. Which Kafka Streams pattern best supports this?

AUse <code>stream.filter()</code> to remove bad records before processing without logging them.

BConfigure Kafka Streams to automatically retry failed records indefinitely.

C

Use a <code>try-catch</code> inside processing logic and produce failed records to a dead-letter topic using a <code>KafkaProducer</code>.

DStop the stream on first exception and restart it after fixing the data.

Step-by-Step Solution

Solution:

Step 1: Catch exceptions during processing
Wrap processing logic in try-catch to detect failures.
Step 2: Produce failed records to a dead-letter topic
Use a separate KafkaProducer instance to send problematic records to an error topic for later analysis.
Step 3: Continue processing main stream
This approach prevents the stream from stopping due to errors.
Final Answer:
Use a try-catch inside processing logic and produce failed records to a dead-letter topic using a KafkaProducer. -> Option C
Quick Check:
Use try-catch and dead-letter topic for error handling [OK]

Quick Trick: Redirect errors to dead-letter topic via try-catch [OK]

Common Mistakes:

MISTAKES

Relying on automatic retries without handling errors
Filtering out bad records without logging
Stopping stream on first error

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Which Kafka Streams pattern best supports this?

Step 1: Catch exceptions during processing

Step 2: Produce failed records to a dead-letter topic

Step 3: Continue processing main stream

Final Answer:

Quick Check:

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