This should do it: https://github.com/graphframes/graphframes/releases/tag/release-0.2.0 Thanks for the reminder! Joseph
On Wed, Aug 24, 2016 at 10:11 AM, Maciej Bryński <mac...@brynski.pl> wrote: > 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 <ja...@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 <timhun...@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 >> > >> > >> > >> >> --------------------------------------------------------------------- >> To unsubscribe e-mail: user-unsubscr...@spark.apache.org >> >> > > > -- > Maciek Bryński >
