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From Prashant Sharma <scrapco...@gmail.com>
Subject Re: [ANNOUNCE] Welcoming two new Spark committers: Tom Graves and Prashant Sharma
Date Fri, 15 Nov 2013 06:13:49 GMT
Congratulations Tom, and thanks a lot everyone and especially all the
voters.


On Fri, Nov 15, 2013 at 6:19 AM, Andy Konwinski <andykonwinski@gmail.com>wrote:

> Congrats and welcome Tom and Prashant!
>
>
> On Thu, Nov 14, 2013 at 9:57 AM, Marek Kolodziej <mkolod@gmail.com> wrote:
>
> > Congratulations Tom and Prashant!
> >
> > By the way, Prashant co-authored a very nice intro book about SBT, it was
> > just published by Packt in September.
> >
> > Marek
> >
> >
> >
> >
> > On Thu, Nov 14, 2013 at 12:21 AM, karthik tunga <karthik.tunga@gmail.com
> > >wrote:
> >
> > > Congrats Tom and Prashant :)
> > >
> > > Cheers,
> > > Karthik
> > > On Nov 13, 2013 7:37 PM, "Matei Zaharia" <matei.zaharia@gmail.com>
> > wrote:
> > >
> > > > Hi folks,
> > > >
> > > > The Apache Spark PPMC is happy to welcome two new PPMC members and
> > > > committers: Tom Graves and Prashant Sharma.
> > > >
> > > > Tom has been maintaining and expanding the YARN support in Spark over
> > the
> > > > past few months, including adding big features such as support for
> YARN
> > > > security, and recently contributed a major patch that adds security
> to
> > > all
> > > > of Spark’s internal communication services as well (
> > > > https://github.com/apache/incubator-spark/pull/120). It will be
> great
> > to
> > > > have him continue expanding these and other features as a committer.
> > > >
> > > > Prashant created and has maintained the Scala 2.10 branch of Spark
> for
> > 6+
> > > > months now, including tackling the hairy task of porting the Spark
> > > > interpreter to 2.10, and debugging all the issues raised by that with
> > > > third-party libraries. He's also contributed bug fixes and new input
> > > > sources to Spark Streaming. The Scala 2.10 branch will be merged into
> > > > master soon.
> > > >
> > > > We’re very excited to have both Tom and Prashant join the project as
> > > > committers.
> > > >
> > > > The Apache Spark PPMC
> > > >
> > > >
> > >
> >
>



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