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From Ted Malaska <ted.mala...@cloudera.com>
Subject Re: Breaking the previous large-scale sort record with Spark
Date Fri, 10 Oct 2014 15:21:45 GMT
This is a bad deal, great job.

On Fri, Oct 10, 2014 at 11:19 AM, Mridul Muralidharan <mridul@gmail.com>
wrote:

> Brilliant stuff ! Congrats all :-)
> This is indeed really heartening news !
>
> Regards,
> Mridul
>
>
> On Fri, Oct 10, 2014 at 8:24 PM, Matei Zaharia <matei.zaharia@gmail.com>
> wrote:
> > Hi folks,
> >
> > I interrupt your regularly scheduled user / dev list to bring you some
> pretty cool news for the project, which is that we've been able to use
> Spark to break MapReduce's 100 TB and 1 PB sort records, sorting data 3x
> faster on 10x fewer nodes. There's a detailed writeup at
> http://databricks.com/blog/2014/10/10/spark-breaks-previous-large-scale-sort-record.html.
> Summary: while Hadoop MapReduce held last year's 100 TB world record by
> sorting 100 TB in 72 minutes on 2100 nodes, we sorted it in 23 minutes on
> 206 nodes; and we also scaled up to sort 1 PB in 234 minutes.
> >
> > I want to thank Reynold Xin for leading this effort over the past few
> weeks, along with Parviz Deyhim, Xiangrui Meng, Aaron Davidson and Ali
> Ghodsi. In addition, we'd really like to thank Amazon's EC2 team for
> providing the machines to make this possible. Finally, this result would of
> course not be possible without the many many other contributions, testing
> and feature requests from throughout the community.
> >
> > For an engine to scale from these multi-hour petabyte batch jobs down to
> 100-millisecond streaming and interactive queries is quite uncommon, and
> it's thanks to all of you folks that we are able to make this happen.
> >
> > Matei
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