[ https://issues.apache.org/jira/browse/KAFKA-5158?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Eno Thereska updated KAFKA-5158: -------------------------------- Fix Version/s: (was: 0.11.0.0) 0.11.1.0 > 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 > Fix For: 0.11.1.0 > > > 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". -- This message was sent by Atlassian JIRA (v6.3.15#6346)