This is my experience too when running under yarn at least On Thu, 9 Nov 2017, 07:11 Nicolas Paris, <nipari...@gmail.com> wrote:
> Le 06 nov. 2017 à 19:56, Nicolas Paris écrivait : > > Can anyone clarify the driver memory aspects of pySpark? > > According to [1], spark.driver.memory limits JVM + python memory. > > > > In case: > > spark.driver.memory=2G > > Then does it mean the user won't be able to use more than 2G, whatever > > the python code + the RDD stuff he is using ? > > > > Thanks, > > > > [1]: > http://apache-spark-user-list.1001560.n3.nabble.com/spark-is-running-extremely-slow-with-larger-data-set-like-2G-td17152.html > > > > > after some testing, the python driver memory is not limited by > spark.driver.memory > instead, there is no limit at all for those processes. This may be > managed by cgroups however. > > --------------------------------------------------------------------- > To unsubscribe e-mail: user-unsubscr...@spark.apache.org > >
