Major Description
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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