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
