Eno Thereska created KAFKA-5158:
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Summary: Options for handling exceptions during processing
Key: KAFKA-5158
URL: https://issues.apache.org/jira/browse/KAFKA-5158
Project: Kafka
Issue Type: Sub-task
Components: streams
Reporter: Eno Thereska
Imagine the app-level processing of a (non-corrupted) record fails (e.g. the
user attempted to do a RPC to an external system, and this call failed). How
can you process such failed records in a scalable way? For example, imagine you
need to implement a retry policy such as "retry with exponential backoff".
Here, you have the problem that 1. you can't really pause processing a single
record because this will pause the processing of the full stream (bottleneck!)
and 2. there is no straight-forward way to "sort" failed records based on their
"next retry time".
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