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| author | Iulian Dragos <jaguarul@gmail.com> | 2015-04-28 12:08:18 -0700 |
|---|---|---|
| committer | Andrew Or <andrew@databricks.com> | 2015-04-28 12:08:18 -0700 |
| commit | 8aab94d8984e9d12194dbda47b2e7d9dbc036889 (patch) | |
| tree | 6ae73a4d711bb4a44db690390ab7626ad2c40f61 /docs | |
| parent | 52ccf1d3739694826915cdf01642bab02958eb78 (diff) | |
| download | spark-8aab94d8984e9d12194dbda47b2e7d9dbc036889.tar.gz spark-8aab94d8984e9d12194dbda47b2e7d9dbc036889.tar.bz2 spark-8aab94d8984e9d12194dbda47b2e7d9dbc036889.zip | |
[SPARK-4286] Add an external shuffle service that can be run as a daemon.
This allows Mesos deployments to use the shuffle service (and implicitly dynamic allocation). It does so by adding a new "main" class and two corresponding scripts in `sbin`:
- `sbin/start-shuffle-service.sh`
- `sbin/stop-shuffle-service.sh`
Specific options can be passed in `SPARK_SHUFFLE_OPTS`.
This is picking up work from #3861 /cc tnachen
Author: Iulian Dragos <jaguarul@gmail.com>
Closes #4990 from dragos/feature/external-shuffle-service and squashes the following commits:
6c2b148 [Iulian Dragos] Import order and wrong name fixup.
07804ad [Iulian Dragos] Moved ExternalShuffleService to the `deploy` package + other minor tweaks.
4dc1f91 [Iulian Dragos] Reviewer’s comments:
8145429 [Iulian Dragos] Add an external shuffle service that can be run as a daemon.
Diffstat (limited to 'docs')
| -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`, |