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Posted to dev@kafka.apache.org by "Eno Thereska (JIRA)" <ji...@apache.org> on 2017/05/02 14:54:04 UTC
[jira] [Created] (KAFKA-5158) Options for handling exceptions
during processing
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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