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From Srikanth <srikanth...@gmail.com>
Subject Re: Rebalancing when adding kafka partitions
Date Fri, 12 Aug 2016 19:47:28 GMT
I did try a test with spark 2.0 + spark-streaming-kafka-0-10-assembly.
Partition was increased using "bin/kafka-topics.sh --alter" after spark job
was started.
I don't see messages from new partitions in the DStream.

    KafkaUtils.createDirectStream[Array[Byte], Array[Byte]] (
>         ssc, PreferConsistent, Subscribe[Array[Byte], Array[Byte]](topics,
> kafkaParams) )
>     .map(r => (r.key(), r.value()))


Also, no.of partitions did not increase too.

>     dataStream.foreachRDD( (rdd, curTime) => {
>      logger.info(s"rdd has ${rdd.getNumPartitions} partitions.")


Should I be setting some parameter/config? Is the doc for new integ
available?

Thanks,
Srikanth

On Fri, Jul 22, 2016 at 2:15 PM, Cody Koeninger <cody@koeninger.org> wrote:

> No, restarting from a checkpoint won't do it, you need to re-define the
> stream.
>
> Here's the jira for the 0.10 integration
>
> https://issues.apache.org/jira/browse/SPARK-12177
>
> I haven't gotten docs completed yet, but there are examples at
>
> https://github.com/koeninger/kafka-exactly-once/tree/kafka-0.10
>
> On Fri, Jul 22, 2016 at 1:05 PM, Srikanth <srikanth.ht@gmail.com> wrote:
> > In Spark 1.x, if we restart from a checkpoint, will it read from new
> > partitions?
> >
> > If you can, pls point us to some doc/link that talks about Kafka 0.10
> integ
> > in Spark 2.0.
> >
> > On Fri, Jul 22, 2016 at 1:33 PM, Cody Koeninger <cody@koeninger.org>
> wrote:
> >>
> >> For the integration for kafka 0.8, you are literally starting a
> >> streaming job against a fixed set of topicapartitions,  It will not
> >> change throughout the job, so you'll need to restart the spark job if
> >> you change kafka partitions.
> >>
> >> For the integration for kafka 0.10 / spark 2.0, if you use subscribe
> >> or subscribepattern, it should pick up new partitions as they are
> >> added.
> >>
> >> On Fri, Jul 22, 2016 at 11:29 AM, Srikanth <srikanth.ht@gmail.com>
> wrote:
> >> > Hello,
> >> >
> >> > I'd like to understand how Spark Streaming(direct) would handle Kafka
> >> > partition addition?
> >> > Will a running job be aware of new partitions and read from it?
> >> > Since it uses Kafka APIs to query offsets and offsets are handled
> >> > internally.
> >> >
> >> > Srikanth
> >
> >
>

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