[jira] [Created] (KAFKA-4486) Kafka Streams - exception in process still commits offsets

["Joel Lundell (JIRA)" <ji...@apache.org>]

Joel Lundell created KAFKA-4486:
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             Summary: Kafka Streams - exception in process still commits offsets
                 Key: KAFKA-4486
                 URL: https://issues.apache.org/jira/browse/KAFKA-4486
             Project: Kafka
          Issue Type: Bug
          Components: streams
    Affects Versions: 0.10.1.0
         Environment: Java 8
            Reporter: Joel Lundell



I'm building a streams application and would like to be able to control the commits manually using ProcessorContext#commit() from an instance of org.apache.kafka.streams.processor.Processor.

My use case is that I want to read messages from a topic and push them to AWS SQS and I need to be able to guarantee that all messages reach the queue at least once. I also want to use SQS batching support so my approach at the moment is that in Processor#process i'm saving X records in a data structure and when I have a full batch I send it off and if successful i commit. If I for any reason can't deliver the records I don't want the offsets being committed so that when processing works again I can start processing from the last successful record.

When I was trying out the error handling I noticed that if I create a Processor and in the process method always throw an exception that will trigger StreamThread#shutdownTaskAndState which calls StreamThread#commitOffsets and next time I run the application it starts as if the previous "record" was successfully processed.

Is there a way to achieve what I'm looking for?

I found a similar discussion in https://issues.apache.org/jira/browse/KAFKA-3491 but that issue is still open.



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