We "used" Spark on Mesos to build interactive data analysis platform because the interactive session could be long and might not use Spark for the entire session. It is very wasteful of resources if we used the coarse-grained mode because it keeps resource for the entire session. Therefore, fine-grained mode was used.
Knowing that Spark now supports dynamic resource allocation with coarse grained mode, we were thinking about using it. However, we decided to switch to Yarn because in addition to dynamic allocation, it has better supports on security. On Tue, Nov 3, 2015 at 7:22 PM, Soren Macbeth <so...@yieldbot.com> wrote: > we use fine-grained mode. coarse-grained mode keeps JVMs around which > often leads to OOMs, which in turn kill the entire executor, causing entire > stages to be retried. In fine-grained mode, only the task fails and > subsequently gets retried without taking out an entire stage or worse. > > On Tue, Nov 3, 2015 at 3:54 PM, Reynold Xin <r...@databricks.com> wrote: > >> If you are using Spark with Mesos fine grained mode, can you please >> respond to this email explaining why you use it over the coarse grained >> mode? >> >> Thanks. >> >> >
