From 5ec3c1b316b3db150c8e6a3a2ca31943dd2cf155 Mon Sep 17 00:00:00 2001 From: Dongjoon Hyun Date: Sun, 22 Jan 2023 18:30:36 -0800 Subject: [PATCH] [MINOR][DOCS] Add all supported resource managers in `Scheduling Within an Application` --- docs/job-scheduling.md | 3 +++ 1 file changed, 3 insertions(+) diff --git a/docs/job-scheduling.md b/docs/job-scheduling.md index 69dd678aedab..8694ee82e1b8 100644 --- a/docs/job-scheduling.md +++ b/docs/job-scheduling.md @@ -195,6 +195,9 @@ of cluster resources. This means that short jobs submitted while a long job is r resources right away and still get good response times, without waiting for the long job to finish. This mode is best for multi-user settings. +This feature is disabled by default and available on all coarse-grained cluster managers, i.e. +[standalone mode](spark-standalone.html), [YARN mode](running-on-yarn.html), +[K8s mode](running-on-kubernetes.html) and [Mesos coarse-grained mode](running-on-mesos.html#mesos-run-modes). To enable the fair scheduler, simply set the `spark.scheduler.mode` property to `FAIR` when configuring a SparkContext: