DC/OS was designed to reduce the operational cost of maintaining a cluster, and DC/OS Spark runs well on it.
On Sat, Jul 16, 2016 at 11:11 AM, Teng Qiu <teng...@gmail.com> wrote: > Hi Mark, thanks, we just want to keep our system as simple as > possible, using YARN means we need to maintain a full-size hadoop > cluster, we are using s3 as storage layer, so HDFS is not needed, a > hadoop cluster is a little bit overkill, mesos is an option, but > still, it brings extra operation costs. > > So... any suggestion from you? > > Thanks > > > 2016-07-15 18:51 GMT+02:00 Mark Hamstra <m...@clearstorydata.com>: > > Nothing has changed in that regard, nor is there likely to be "progress", > > since more sophisticated or capable resource scheduling at the > Application > > level is really beyond the design goals for standalone mode. If you want > > more in the way of multi-Application resource scheduling, then you > should be > > looking at Yarn or Mesos. Is there some reason why neither of those > options > > can work for you? > > > > On Fri, Jul 15, 2016 at 9:15 AM, Teng Qiu <teng...@gmail.com> wrote: > >> > >> Hi, > >> > >> > >> > http://people.apache.org/~pwendell/spark-nightly/spark-master-docs/latest/spark-standalone.html#resource-scheduling > >> The standalone cluster mode currently only supports a simple FIFO > >> scheduler across applications. > >> > >> is this sentence still true? any progress on this? it will really > >> helpful. some roadmap? > >> > >> Thanks > >> > >> Teng > >> > >> --------------------------------------------------------------------- > >> To unsubscribe e-mail: user-unsubscr...@spark.apache.org > >> > > > > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > > -- Michael Gummelt Software Engineer Mesosphere
