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Diffstat (limited to 'docs/job-scheduling.md')
| -rw-r--r-- | docs/job-scheduling.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/docs/job-scheduling.md b/docs/job-scheduling.md index 963e88a3e1..8d9c2ba204 100644 --- a/docs/job-scheduling.md +++ b/docs/job-scheduling.md @@ -32,7 +32,7 @@ Resource allocation can be configured as follows, based on the cluster type: * **Standalone mode:** By default, applications submitted to the standalone mode cluster will run in FIFO (first-in-first-out) order, and each application will try to use all available nodes. You can limit the number of nodes an application uses by setting the `spark.cores.max` configuration property in it, - or change the default for applications that don't set this setting through `spark.deploy.defaultCores`. + or change the default for applications that don't set this setting through `spark.deploy.defaultCores`. Finally, in addition to controlling cores, each application's `spark.executor.memory` setting controls its memory use. * **Mesos:** To use static partitioning on Mesos, set the `spark.mesos.coarse` configuration property to `true`, |