I don't think usage is the differentiating factor. YARN and standalone are pretty well supported. If you are only running a Spark cluster by itself with nothing else, standalone is probably simpler than setting up YARN just for Spark. However if you're running on a cluster that will host other applications, you'll need to integrate with a shared resource manager and its security model, and for anything Hadoop-related that's YARN. Standalone wouldn't make as much sense.
On Thu, Apr 14, 2016 at 6:46 PM, Alexander Pivovarov <apivova...@gmail.com> wrote: > AWS EMR includes Spark on Yarn > Hortonworks and Cloudera platforms include Spark on Yarn as well > > > On Thu, Apr 14, 2016 at 7:29 AM, Arkadiusz Bicz <arkadiusz.b...@gmail.com> > wrote: >> >> Hello, >> >> Is there any statistics regarding YARN vs Standalone Spark Usage in >> production ? >> >> I would like to choose most supported and used technology in >> production for our project. >> >> >> BR, >> >> Arkadiusz Bicz >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: user-unsubscr...@spark.apache.org >> For additional commands, e-mail: user-h...@spark.apache.org >> > --------------------------------------------------------------------- To unsubscribe, e-mail: user-unsubscr...@spark.apache.org For additional commands, e-mail: user-h...@spark.apache.org
