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From Maciej Bryński <mac...@brynski.pl>
Subject Re: GraphFrames 0.2.0 released
Date Wed, 24 Aug 2016 17:11:01 GMT
Hi,
Do you plan to add tag for this release on github ?
https://github.com/graphframes/graphframes/releases

Regards,
Maciek

2016-08-17 3:18 GMT+02:00 Jacek Laskowski <jacek@japila.pl>:

> Hi Tim,
>
> AWESOME. Thanks a lot for releasing it. That makes me even more eager
> to see it in Spark's codebase (and replacing the current RDD-based
> API)!
>
> Pozdrawiam,
> Jacek Laskowski
> ----
> https://medium.com/@jaceklaskowski/
> Mastering Apache Spark 2.0 http://bit.ly/mastering-apache-spark
> Follow me at https://twitter.com/jaceklaskowski
>
>
> On Tue, Aug 16, 2016 at 9:32 AM, Tim Hunter <timhunter@databricks.com>
> wrote:
> > Hello all,
> > I have released version 0.2.0 of the GraphFrames package. Apart from a
> few
> > bug fixes, it is the first release published for Spark 2.0 and both scala
> > 2.10 and 2.11. Please let us know if you have any comment or questions.
> >
> > It is available as a Spark package:
> > https://spark-packages.org/package/graphframes/graphframes
> >
> > The source code is available as always at
> > https://github.com/graphframes/graphframes
> >
> >
> > What is GraphFrames?
> >
> > GraphFrames is a DataFrame-based graph engine Spark. In addition to the
> > algorithms available in GraphX, users can write highly expressive
> queries by
> > leveraging the DataFrame API, combined with a new API for motif finding.
> The
> > user also benefits from DataFrame performance optimizations within the
> Spark
> > SQL engine.
> >
> > Cheers
> >
> > Tim
> >
> >
> >
>
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>
>


-- 
Maciek Bryński

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