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From koeninger <...@git.apache.org>
Subject [GitHub] spark pull request: [SPARK-4964] [Streaming] Exactly-once semantic...
Date Tue, 03 Feb 2015 17:12:02 GMT
Github user koeninger commented on the pull request:

    https://github.com/apache/spark/pull/3798#issuecomment-72691392
  
    Regarding naming, I agree.  The name has been a point of discussion for a
    month, how to get some consensus?
    
    Regarding Java wrappers, there have already been a number of changes
    directed at java compatibility (array of Leader instead of a map[topic,
    broker], .create in addition to .apply).  I wonder how relevant those are
    if we're doing separate java wrappers (which yes, I agree should be in a
    follow-on PR)
    
    On Tue, Feb 3, 2015 at 3:13 AM, Patrick Wendell <notifications@github.com>
    wrote:
    
    > I took a pass through the public API. I'm not very familiar with Kafka so
    > it was somewhat slow going. However, some reactions:
    >
    >    1. We should try to tighten, simplify, and clarify the way we name and
    >    document everything in this public API. Most of the comments were about
    >    this. The most important IMO is coming up with a good name for the new
    >    streams returned and clearly explaining how they differ from the old Kafka
    >    stream. To me, the main differences seems to be in the way we (a) decide
    >    what goes into which batch and (b) actually ingest the data. I proposed
    >    javadoc and naming scheme that emphasizing that distinction.
    >    2. Is there plans to add a Java and Python wrappers here next? Those
    >    are straightforward and it would be good to have them. Maybe in a follow on
    >    PR?
    >
    > —
    > Reply to this email directly or view it on GitHub
    > <https://github.com/apache/spark/pull/3798#issuecomment-72617088>.
    >


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