+1. Hadoop 2.6 would be a good choice with many features added (like supporting long running service, label based scheduling). Currently there's lot of reflection codes to support multiple version of Yarn, so upgrading to a newer version will really ease the pain :).
Thanks Saisai On Fri, Nov 20, 2015 at 3:58 PM, Jean-Baptiste Onofré <j...@nanthrax.net> wrote: > +1 > > Regards > JB > > > On 11/19/2015 11:14 PM, Reynold Xin wrote: > >> I proposed dropping support for Hadoop 1.x in the Spark 2.0 email, and I >> think everybody is for that. >> >> https://issues.apache.org/jira/browse/SPARK-11807 >> >> Sean suggested also dropping support for Hadoop 2.2, 2.3, and 2.4. That >> is to say, keep only Hadoop 2.6 and greater. >> >> What are the community's thoughts on that? >> >> > -- > Jean-Baptiste Onofré > jbono...@apache.org > http://blog.nanthrax.net > Talend - http://www.talend.com > > --------------------------------------------------------------------- > To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org > For additional commands, e-mail: dev-h...@spark.apache.org > >
