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https://issues.apache.org/jira/browse/SPARK-15406?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15553405#comment-15553405
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Michael Armbrust commented on SPARK-15406:
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The programming guide has a pretty good description of the model we use in
structured streaming:
https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html
At a high level, this means for kafka, we pick ranges of offsets to process in
each batch and write those to a WAL before processing. We then transactionally
commit updates to our internal state and to the supported sinks. This is a
much higher level of abstraction that DStreams (just like RDDs vs DataFrames),
so I'm very curious to hear from users what works and what is missing.
> Structured streaming support for consuming from Kafka
> -----------------------------------------------------
>
> Key: SPARK-15406
> URL: https://issues.apache.org/jira/browse/SPARK-15406
> Project: Spark
> Issue Type: New Feature
> Reporter: Cody Koeninger
>
> This is the parent JIRA to track all the work for the building a Kafka source
> for Structured Streaming. Here is the design doc for an initial version of
> the Kafka Source.
> https://docs.google.com/document/d/19t2rWe51x7tq2e5AOfrsM9qb8_m7BRuv9fel9i0PqR8/edit?usp=sharing
> ================== Old description =========================
> Structured streaming doesn't have support for kafka yet. I personally feel
> like time based indexing would make for a much better interface, but it's
> been pushed back to kafka 0.10.1
> https://cwiki.apache.org/confluence/display/KAFKA/KIP-33+-+Add+a+time+based+log+index
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