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From harishreedharan <>
Subject [GitHub] spark pull request: [SPARK-4964] [Streaming] Exactly-once semantic...
Date Thu, 22 Jan 2015 23:15:09 GMT
Github user harishreedharan commented on the pull request:
    I like this! I didn't try building it, but the logic is great!
    So, to sum up the idea - the key detail here is that the checkpoint contains the metadata
to regenerate the RDDs, thus original order and batches are recovered. That looks good - it
was the same thing I was trying to see if we could do in the Kafka receiver, but it would
be difficult without some API changes.
    That brings me to a question - so in this PR, is the data pulled down from Kafka only
once every batch interval - say every 2 seconds, or is there a way to generate it continuously
rather than have spikes?

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